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argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_143add39-e304-4541-8699-70598629205d

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3a3f1eb1-edfa-41ff-b19c-aa1916d8ae65

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_17287d6f-46bb-4027-9feb-66dd191d7e9e

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_4b77bd13-0e97-4b94-98b8-b0b76cf25823

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

yaniokodf/alpaca_zh_demo

yaniokodf

--- license: apache-2.0 ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_bb984135-06e3-444c-9b1f-a56e50c0ad37

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_192f91bb-4f43-4c04-a584-27eece2ff77e

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_36fe9989-9ace-49a0-876a-b074b7e22dc5

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_11eb5a74-eebe-4592-b1fb-b899a71790ad

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2f8106af-14b2-4708-975c-688725cfd911

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

Yotofu/so100_shoes

Yotofu

--- task_categories: - robotics tags: - LeRobot - so100_stereo - tutorial --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).

Lakshay1Dagar/marketing_prompts_v3

Lakshay1Dagar

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 12784 num_examples: 19 download_size: 8681 dataset_size: 12784 configs: - config_name: default data_files: - split: train path: data/train-* ---

Vinisf/Vinirp

Vinisf

--- license: openrail ---

dooder35/whereisterminal

dooder35

--- license: other license_name: question license_link: https://huggingface.co/new-dataset ---

vinesmsuic/SwissProtCLAP_random_10k_gpt4o

vinesmsuic

--- dataset_info: features: - name: UniProt ID dtype: string - name: Protein Sequence dtype: string - name: gt_desc dtype: string - name: structure_info dtype: string - name: functional_info dtype: string splits: - name: train num_bytes: 17074568 num_examples: 10000 download_size: 10103847 dataset_size: 17074568 configs: - config_name: default data_files: - split: train path: data/train-* ---

YangZhoumill/factor_medium_64k

YangZhoumill

--- dataset_info: features: - name: problem dtype: string - name: question dtype: string - name: solution dtype: string - name: op dtype: int64 - name: id dtype: int64 - name: template dtype: string - name: mode dtype: string - name: length dtype: string - name: d dtype: int64 splits: - name: ops_2 num_bytes: 138096441 num_examples: 480 - name: ops_3 num_bytes: 136357405 num_examples: 480 - name: ops_4 num_bytes: 132803657 num_examples: 480 - name: ops_5 num_bytes: 128621002 num_examples: 480 - name: ops_6 num_bytes: 317065486 num_examples: 1159 - name: ops_7 num_bytes: 127027447 num_examples: 492 - name: ops_8 num_bytes: 258260134 num_examples: 1003 - name: ops_9 num_bytes: 215930558 num_examples: 826 - name: ops_10 num_bytes: 186097498 num_examples: 759 - name: ops_11 num_bytes: 183021458 num_examples: 711 - name: ops_12 num_bytes: 180492543 num_examples: 692 - name: ops_13 num_bytes: 168159764 num_examples: 646 - name: ops_14 num_bytes: 151505080 num_examples: 571 - name: ops_15 num_bytes: 172408278 num_examples: 719 - name: ops_16 num_bytes: 164422053 num_examples: 678 - name: ops_17 num_bytes: 164290988 num_examples: 649 - name: ops_18 num_bytes: 156514421 num_examples: 610 - name: ops_19 num_bytes: 133023791 num_examples: 586 - name: ops_20 num_bytes: 125417848 num_examples: 538 download_size: 862021789 dataset_size: 3239515852 configs: - config_name: default data_files: - split: ops_2 path: data/ops_2-* - split: ops_3 path: data/ops_3-* - split: ops_4 path: data/ops_4-* - split: ops_5 path: data/ops_5-* - split: ops_6 path: data/ops_6-* - split: ops_7 path: data/ops_7-* - split: ops_8 path: data/ops_8-* - split: ops_9 path: data/ops_9-* - split: ops_10 path: data/ops_10-* - split: ops_11 path: data/ops_11-* - split: ops_12 path: data/ops_12-* - split: ops_13 path: data/ops_13-* - split: ops_14 path: data/ops_14-* - split: ops_15 path: data/ops_15-* - split: ops_16 path: data/ops_16-* - split: ops_17 path: data/ops_17-* - split: ops_18 path: data/ops_18-* - split: ops_19 path: data/ops_19-* - split: ops_20 path: data/ops_20-* ---

amuvarma/mls-train-500

amuvarma

--- dataset_info: features: - name: audio_values sequence: float64 - name: transcript_ids sequence: int64 - name: labels sequence: int64 - name: input_ids sequence: int32 splits: - name: train num_bytes: 1200822000000 num_examples: 500000 download_size: 738443026079 dataset_size: 1200822000000 configs: - config_name: default data_files: - split: train path: data/train-* ---

CodeDPO/qwen_coder_train_20241120

CodeDPO

--- dataset_info: features: - name: program_1 dtype: string - name: program_2 dtype: string - name: winner dtype: int64 - name: accuracy_1 dtype: float64 - name: accuracy_2 dtype: float64 - name: accuracy_difference dtype: float64 - name: model_1 dtype: string - name: model_2 dtype: string - name: prompt dtype: string - name: tests sequence: string splits: - name: train num_bytes: 2476888565 num_examples: 490333 download_size: 124834643 dataset_size: 2476888565 configs: - config_name: default data_files: - split: train path: data/train-* ---

paulrichmond/astro_gen0

paulrichmond

--- dataset_info: features: - name: id dtype: string - name: abstract dtype: string - name: prompt dtype: string - name: y_true dtype: string - name: comp_Llama-2-7b-hf dtype: string - name: preds_Llama-2-7b-hf dtype: string - name: comp_Llama-3.1-8B dtype: string - name: preds_Llama-3.1-8B dtype: string - name: comp_astrollama_4bit dtype: string - name: preds_astrollama_4bit dtype: string splits: - name: test num_bytes: 829787 num_examples: 50 download_size: 475338 dataset_size: 829787 configs: - config_name: default data_files: - split: test path: data/test-* --- Generated with the following parameters - max_new_tokens: 1024 - min_new_tokens: 1 - temperature: 0.8 - do_sample: true

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_16_0.05_32_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 140757 num_examples: 97 - name: test num_bytes: 1213941 num_examples: 743 download_size: 277939 dataset_size: 1354698 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

DopeorNope/only_gsm8k_v2

DopeorNope

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 3993094 num_examples: 7473 - name: validation num_bytes: 3993094 num_examples: 7473 download_size: 4616658 dataset_size: 7986188 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

paulrichmond/hep_th_gen0

paulrichmond

--- dataset_info: features: - name: id dtype: string - name: submitter dtype: string - name: authors dtype: string - name: title dtype: string - name: comments dtype: string - name: journal-ref dtype: string - name: doi dtype: string - name: report-no dtype: string - name: categories dtype: string - name: license dtype: string - name: orig_abstract dtype: string - name: versions list: - name: created dtype: string - name: version dtype: string - name: update_date dtype: string - name: authors_parsed sequence: sequence: string - name: abstract dtype: string - name: prompt dtype: string - name: y_true dtype: string - name: comp_s3-L-3.1-8B-base_v3 dtype: string - name: preds_s3-L-3.1-8B-base_v3 dtype: string - name: comp_s1-L-3.1-8B-base dtype: string - name: preds_s1-L-3.1-8B-base dtype: string - name: comp_Llama-3.1-8B dtype: string - name: preds_Llama-3.1-8B dtype: string - name: comp_s2-L-3.1-8B-base dtype: string - name: preds_s2-L-3.1-8B-base dtype: string splits: - name: test num_bytes: 524473 num_examples: 50 download_size: 330237 dataset_size: 524473 configs: - config_name: default data_files: - split: test path: data/test-* --- Generated with the following parameters - max_new_tokens: 1024 - min_new_tokens: 1 - temperature: 0.8 - do_sample: true

youseon/pakdd_table_merge_data_task_1

youseon

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 103509254 num_examples: 9196 download_size: 20719831 dataset_size: 103509254 configs: - config_name: default data_files: - split: train path: data/train-* ---

Hotpot-Killer/instructpg-dataset

Hotpot-Killer

--- license: mit ---

plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct

plaguss

--- size_categories: n<1K dataset_info: features: - name: instruction dtype: string - name: image dtype: string - name: generation dtype: string - name: distilabel_metadata struct: - name: raw_input_vision_gen list: - name: content list: - name: image_url struct: - name: url dtype: string - name: text dtype: string - name: type dtype: string - name: role dtype: string - name: raw_output_vision_gen dtype: string - name: statistics_vision_gen struct: - name: input_tokens dtype: int64 - name: output_tokens dtype: int64 - name: model_name dtype: string splits: - name: train num_bytes: 1759 num_examples: 1 download_size: 18245 dataset_size: 1759 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for test-vision-generation-Llama-3.2-11B-Vision-Instruct This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "distilabel_metadata": { "raw_input_vision_gen": [ { "content": [ { "image_url": null, "text": "What\u2019s in this image?", "type": "text" }, { "image_url": { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }, "text": null, "type": "image_url" } ], "role": "user" } ], "raw_output_vision_gen": "This image depicts a wooden boardwalk weaving its way through a lush meadow, flanked by vibrant green grass that stretches towards the horizon under a calm and inviting sky.\n\nThe boardwalk runs straight ahead, away from the viewer, forming a clear pathway through the tall, lush green grass, crops or other plant types or an assortment of small trees and shrubs. This meadow is dotted with trees and shrubs, appearing to be healthy and green. The sky above is a beautiful blue with white clouds scattered throughout, adding a sense of tranquility to the scene.\n\nWhile this image appears to be of a natural landscape, because grass is", "statistics_vision_gen": { "input_tokens": 43, "output_tokens": 128 } }, "generation": "This image depicts a wooden boardwalk weaving its way through a lush meadow, flanked by vibrant green grass that stretches towards the horizon under a calm and inviting sky.\n\nThe boardwalk runs straight ahead, away from the viewer, forming a clear pathway through the tall, lush green grass, crops or other plant types or an assortment of small trees and shrubs. This meadow is dotted with trees and shrubs, appearing to be healthy and green. The sky above is a beautiful blue with white clouds scattered throughout, adding a sense of tranquility to the scene.\n\nWhile this image appears to be of a natural landscape, because grass is", "image": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", "instruction": "What\u2019s in this image?", "model_name": "meta-llama/Llama-3.2-11B-Vision-Instruct" } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct") ``` </details>

neurograce/SubstationDataset

neurograce

--- license: apache-2.0 ---

sumuks/y1.5-single-shot-questions-original

sumuks

--- dataset_info: features: - name: chunk_uuid dtype: string - name: generator_model dtype: string - name: question_type dtype: string - name: question dtype: string - name: answer dtype: string - name: document_analysis dtype: string - name: chunk_analysis dtype: string - name: potential_question_directions sequence: string - name: best_direction dtype: string - name: reasoning dtype: string - name: estimated_difficulty dtype: int64 - name: testable_concepts sequence: string - name: difficulty_justification dtype: string - name: quote_context dtype: string - name: supporting_quotes sequence: string splits: - name: train num_bytes: 58162258 num_examples: 28191 download_size: 15896400 dataset_size: 58162258 configs: - config_name: default data_files: - split: train path: data/train-* ---

babs/ezine-8

babs

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 58693103.0 num_examples: 194 download_size: 58660510 dataset_size: 58693103.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

gcp-acp/flipkart-dataprep

gcp-acp

--- license: cc-by-sa-4.0 --- - Generated prompt data, [Built with Llama 3.1](https://www.llama.com/llama3_1/license/) - [Data Preparation](https://github.com/GoogleCloudPlatform/accelerated-platforms/tree/main/docs/use-cases/model-fine-tuning-pipeline#data-preparation) - [Raw Data](https://www.kaggle.com/datasets/PromptCloudHQ/flipkart-products/data)

gcp-acp/flipkart-preprocessed

gcp-acp

--- size_categories: - 10K<n<100K license: cc-by-sa-4.0 --- - [Data Preprocessing](https://github.com/GoogleCloudPlatform/accelerated-platforms/tree/main/docs/use-cases/model-fine-tuning-pipeline#data-preprocessing-steps) - [Raw Data](https://www.kaggle.com/datasets/PromptCloudHQ/flipkart-products/data)

jamesnatulan/cuelang

jamesnatulan

--- dataset_info: features: - name: repo_path dtype: string - name: repo_name dtype: string - name: url dtype: string - name: content dtype: string splits: - name: train num_bytes: 88645676 num_examples: 13235 download_size: 20801533 dataset_size: 88645676 configs: - config_name: default data_files: - split: train path: data/train-* ---

ncoop57/my_dataset

ncoop57

--- tags: - fastdata - synthetic --- # my_dataset _Note: This is an AI-generated dataset, so its content may be inaccurate or false._ **Source of the data:** The dataset was generated using [Fastdata](https://github.com/AnswerDotAI/fastdata) library and claude-3-haiku-20240307 with the following input: ## System Prompt ``` You are a helpful assistant. ``` ## Prompt Template ``` Generate English and Spanish translations on the following topic: <topic>{topic}</topic> ``` ## Sample Input ```json [{'topic': 'I am going to the beach this weekend'}, {'topic': 'I am going to the gym after work'}] ```

adhammai/depression_v2

adhammai

--- dataset_info: features: - name: is_depression dtype: int64 - name: clean_text dtype: string splits: - name: train num_bytes: 472207 num_examples: 1000 - name: validation num_bytes: 89917 num_examples: 200 download_size: 341335 dataset_size: 562124 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

piporica/custom_drug_dataset

piporica

--- dataset_info: features: - name: patient_id dtype: int64 - name: drugName dtype: string - name: condition dtype: string - name: review dtype: string - name: rating dtype: float64 - name: date dtype: string - name: usefulCount dtype: int64 - name: review_length dtype: int64 splits: - name: train num_bytes: 65975578 num_examples: 110811 - name: validation num_bytes: 16422578 num_examples: 27703 - name: test num_bytes: 27430466 num_examples: 46108 download_size: 63886981 dataset_size: 109828622 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

magneum/pixelhue-captioned-dataset

magneum

--- license: apache-2.0 ---

liyu002/coco_label

liyu002

--- license: apache-2.0 ---

joycewu/common_voice_16_1_zh_TW_pseudo_labelled_large_v2

joycewu

--- dataset_info: config_name: zh-TW features: - name: client_id dtype: string - name: path dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: sentence dtype: string - name: up_votes dtype: int64 - name: down_votes dtype: int64 - name: age dtype: string - name: gender dtype: string - name: accent dtype: string - name: locale dtype: string - name: segment dtype: string - name: variant dtype: string - name: whisper_transcript dtype: string - name: eval_preds sequence: int64 splits: - name: train num_bytes: 162181076.339 num_examples: 7101 - name: validation num_bytes: 124787561.76 num_examples: 4976 - name: test num_bytes: 146090484.544 num_examples: 4976 download_size: 411678601 dataset_size: 433059122.643 configs: - config_name: zh-TW data_files: - split: train path: zh-TW/train-* - split: validation path: zh-TW/validation-* - split: test path: zh-TW/test-* ---

HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_12

HamdanXI

--- dataset_info: features: - name: audio_clip sequence: float64 - name: layer0_prediction sequence: float64 - name: predicted_text dtype: string - name: speaker_id dtype: string splits: - name: train num_bytes: 2646635831 num_examples: 100 download_size: 1959339393 dataset_size: 2646635831 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_12" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

hepicode/QA-Dataset-mini

hepicode

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 97331 num_examples: 287 download_size: 46421 dataset_size: 97331 configs: - config_name: default data_files: - split: train path: data/train-* ---

Holmeister/MLSUM-single

Holmeister

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: inst_no dtype: int64 - name: system dtype: string splits: - name: train num_bytes: 55286755 num_examples: 20000 - name: validation num_bytes: 2408874 num_examples: 1000 - name: test num_bytes: 10404070 num_examples: 5000 download_size: 33379631 dataset_size: 68099699 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

VerboVision/VerboVision

VerboVision

--- dataset_info: features: - name: image dtype: string - name: caption dtype: string splits: - name: train num_bytes: 84588626 num_examples: 100002 download_size: 42890995 dataset_size: 84588626 configs: - config_name: default data_files: - split: train path: data/train-* ---

procit007/treated_0.0

procit007

--- dataset_info: features: - name: gender dtype: string - name: accent dtype: string - name: speaker_id dtype: int64 - name: speaker_name dtype: string - name: text dtype: string - name: normalized_text dtype: string - name: audio dtype: audio - name: treated dtype: bool - name: metrics struct: - name: clipping_ratio dtype: float64 - name: duration dtype: float64 - name: is_valid dtype: bool - name: rms_energy dtype: float64 - name: sample_rate dtype: int64 - name: silence_ratio dtype: float64 - name: snr dtype: float64 splits: - name: train num_bytes: 3179526859.0 num_examples: 10000 download_size: 2982631424 dataset_size: 3179526859.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/mistral_toxic_hatespeech3

juliadollis

--- dataset_info: features: - name: nome_arquivo dtype: string - name: file_id dtype: string - name: user_id dtype: int64 - name: subforum_id dtype: int64 - name: num_contexts dtype: int64 - name: label dtype: string - name: text dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 1693 num_examples: 10 download_size: 7545 dataset_size: 1693 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/mistral_ImplicitHateCorpus1

juliadollis

--- dataset_info: features: - name: text_en dtype: string - name: class dtype: string - name: is_toxic dtype: int64 - name: text dtype: string - name: predicted_is_toxic dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 4890 num_examples: 20 download_size: 7892 dataset_size: 4890 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details

open-llm-leaderboard

--- pretty_name: Evaluation run of GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details\"\ ,\n\tname=\"GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-21T12-46-29.613339](https://huggingface.co/datasets/open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details/blob/main/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct/results_2024-11-21T12-46-29.613339.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_loose_acc,none\": 0.6115107913669064,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.4805914972273567,\n \"prompt_level_loose_acc_stderr,none\": 0.021500357879025087,\n\ \ \"acc_norm,none\": 0.4541445064210663,\n \"acc_norm_stderr,none\"\ : 0.005315784780969996,\n \"exact_match,none\": 0.11858006042296072,\n\ \ \"exact_match_stderr,none\": 0.008506754143074618,\n \"\ prompt_level_strict_acc,none\": 0.4565619223659889,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.021435222545538937,\n \"acc,none\": 0.3453291223404255,\n \ \ \"acc_stderr,none\": 0.004334881701803689,\n \"inst_level_strict_acc,none\"\ : 0.5911270983213429,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.4936642943933345,\n \"acc_norm_stderr,none\"\ : 0.006171633979063365,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.82,\n\ \ \"acc_norm_stderr,none\": 0.02434689065029351\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6096256684491979,\n \"acc_norm_stderr,none\"\ : 0.03576973947986408\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\": 0.0316851985511992\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.572,\n\ \ \"acc_norm_stderr,none\": 0.031355968923772626\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\":\ \ 0.03151438761115348\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.66,\n \ \ \"acc_norm_stderr,none\": 0.030020073605457876\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n\ \ \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.4452054794520548,\n \"acc_norm_stderr,none\": 0.04127264774457449\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.676,\n \ \ \"acc_norm_stderr,none\": 0.029658294924545567\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.5842696629213483,\n \"acc_norm_stderr,none\"\ : 0.037044683959609616\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.244,\n\ \ \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.164,\n \"acc_norm_stderr,none\": 0.02346526100207671\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\":\ \ 0.024133497525457123\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.02845414827783231\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.488,\n\ \ \"acc_norm_stderr,none\": 0.03167708558254714\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.26677852348993286,\n\ \ \"acc_norm_stderr,none\": 0.012801592257275486,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3282828282828283,\n \"acc_norm_stderr,none\": 0.03345678422756777\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.25457875457875456,\n\ \ \"acc_norm_stderr,none\": 0.01866008900417748\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2544642857142857,\n \"acc_norm_stderr,none\"\ : 0.02060126475832284\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.4565619223659889,\n \"prompt_level_strict_acc_stderr,none\": 0.021435222545538937,\n\ \ \"inst_level_strict_acc,none\": 0.5911270983213429,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.4805914972273567,\n \"prompt_level_loose_acc_stderr,none\": 0.021500357879025083,\n\ \ \"inst_level_loose_acc,none\": 0.6115107913669064,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.11858006042296072,\n \"exact_match_stderr,none\"\ : 0.008506754143074618,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.24104234527687296,\n\ \ \"exact_match_stderr,none\": 0.024450893367555328\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.030303030303030304,\n\ \ \"exact_match_stderr,none\": 0.014977019714308254\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.010714285714285714,\n \"exact_match_stderr,none\": 0.006163684194761604\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.07792207792207792,\n\ \ \"exact_match_stderr,none\": 0.021670471414711772\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.22797927461139897,\n \"exact_match_stderr,none\"\ : 0.030276909945178256\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.044444444444444446,\n \"exact_match_stderr,none\"\ : 0.01780263602032457\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.3453291223404255,\n\ \ \"acc_stderr,none\": 0.004334881701803689\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.44841269841269843,\n \"acc_norm_stderr,none\"\ : 0.01786233407718341,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.568,\n\ \ \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.39453125,\n \"acc_norm_stderr,none\"\ : 0.030606698150250366\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_loose_acc,none\"\ : 0.6115107913669064,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.4805914972273567,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.021500357879025087,\n \"acc_norm,none\": 0.4541445064210663,\n \ \ \"acc_norm_stderr,none\": 0.005315784780969996,\n \"exact_match,none\"\ : 0.11858006042296072,\n \"exact_match_stderr,none\": 0.008506754143074618,\n\ \ \"prompt_level_strict_acc,none\": 0.4565619223659889,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.021435222545538937,\n \"acc,none\": 0.3453291223404255,\n \"acc_stderr,none\"\ : 0.004334881701803689,\n \"inst_level_strict_acc,none\": 0.5911270983213429,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"\ leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.4936642943933345,\n\ \ \"acc_norm_stderr,none\": 0.006171633979063365,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"alias\": \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\"\ : 0.6096256684491979,\n \"acc_norm_stderr,none\": 0.03576973947986408\n \ \ },\n \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" -\ \ leaderboard_bbh_date_understanding\",\n \"acc_norm,none\": 0.496,\n \ \ \"acc_norm_stderr,none\": 0.0316851985511992\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ : 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.66,\n \"acc_norm_stderr,none\": 0.030020073605457876\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.4452054794520548,\n\ \ \"acc_norm_stderr,none\": 0.04127264774457449\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.5842696629213483,\n \"acc_norm_stderr,none\"\ : 0.037044683959609616\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204846\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.164,\n \"acc_norm_stderr,none\": 0.02346526100207671\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.02845414827783231\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.26677852348993286,\n\ \ \"acc_norm_stderr,none\": 0.012801592257275486,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3282828282828283,\n\ \ \"acc_norm_stderr,none\": 0.03345678422756777\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.25457875457875456,\n \"acc_norm_stderr,none\": 0.01866008900417748\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2544642857142857,\n \"acc_norm_stderr,none\"\ : 0.02060126475832284\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.4565619223659889,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021435222545538937,\n \ \ \"inst_level_strict_acc,none\": 0.5911270983213429,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.4805914972273567,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.021500357879025083,\n \"inst_level_loose_acc,none\"\ : 0.6115107913669064,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.11858006042296072,\n\ \ \"exact_match_stderr,none\": 0.008506754143074618,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.24104234527687296,\n \"exact_match_stderr,none\": 0.024450893367555328\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.030303030303030304,\n \"exact_match_stderr,none\"\ : 0.014977019714308254\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.010714285714285714,\n \"exact_match_stderr,none\"\ : 0.006163684194761604\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.07792207792207792,\n \"exact_match_stderr,none\": 0.021670471414711772\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.22797927461139897,\n \"exact_match_stderr,none\"\ : 0.030276909945178256\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.01780263602032457\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.3453291223404255,\n \"acc_stderr,none\": 0.004334881701803689\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.44841269841269843,\n\ \ \"acc_norm_stderr,none\": 0.01786233407718341,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.39453125,\n \"acc_norm_stderr,none\": 0.030606698150250366\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ }\n}\n```" repo_url: https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_navigate data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_object_counting data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_snarks data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_diamond data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_extended data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_main data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_gpqa_main_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_ifeval data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_ifeval_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_algebra_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_geometry_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_mmlu_pro data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_musr_object_placements data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_musr_team_allocation data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T12-46-29.613339.jsonl' --- # Dataset Card for Evaluation run of GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details", name="GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-21T12-46-29.613339](https://huggingface.co/datasets/open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details/blob/main/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct/results_2024-11-21T12-46-29.613339.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025087, "acc_norm,none": 0.4541445064210663, "acc_norm_stderr,none": 0.005315784780969996, "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4936642943933345, "acc_norm_stderr,none": 0.006171633979063365, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6096256684491979, "acc_norm_stderr,none": 0.03576973947986408 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.66, "acc_norm_stderr,none": 0.030020073605457876 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.524, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.4452054794520548, "acc_norm_stderr,none": 0.04127264774457449 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.5842696629213483, "acc_norm_stderr,none": 0.037044683959609616 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.744, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.164, "acc_norm_stderr,none": 0.02346526100207671 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.176, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.02845414827783231 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.26677852348993286, "acc_norm_stderr,none": 0.012801592257275486, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3282828282828283, "acc_norm_stderr,none": 0.03345678422756777 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.25457875457875456, "acc_norm_stderr,none": 0.01866008900417748 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2544642857142857, "acc_norm_stderr,none": 0.02060126475832284 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025083, "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.24104234527687296, "exact_match_stderr,none": 0.024450893367555328 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308254 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07792207792207792, "exact_match_stderr,none": 0.021670471414711772 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.22797927461139897, "exact_match_stderr,none": 0.030276909945178256 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689 }, "leaderboard_musr": { "acc_norm,none": 0.44841269841269843, "acc_norm_stderr,none": 0.01786233407718341, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.39453125, "acc_norm_stderr,none": 0.030606698150250366 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.384, "acc_norm_stderr,none": 0.030821679117375447 } }, "leaderboard": { "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025087, "acc_norm,none": 0.4541445064210663, "acc_norm_stderr,none": 0.005315784780969996, "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4936642943933345, "acc_norm_stderr,none": 0.006171633979063365, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6096256684491979, "acc_norm_stderr,none": 0.03576973947986408 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.66, "acc_norm_stderr,none": 0.030020073605457876 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.524, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.4452054794520548, "acc_norm_stderr,none": 0.04127264774457449 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.5842696629213483, "acc_norm_stderr,none": 0.037044683959609616 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.744, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.164, "acc_norm_stderr,none": 0.02346526100207671 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.176, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.02845414827783231 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.26677852348993286, "acc_norm_stderr,none": 0.012801592257275486, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3282828282828283, "acc_norm_stderr,none": 0.03345678422756777 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.25457875457875456, "acc_norm_stderr,none": 0.01866008900417748 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2544642857142857, "acc_norm_stderr,none": 0.02060126475832284 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025083, "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.24104234527687296, "exact_match_stderr,none": 0.024450893367555328 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308254 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07792207792207792, "exact_match_stderr,none": 0.021670471414711772 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.22797927461139897, "exact_match_stderr,none": 0.030276909945178256 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689 }, "leaderboard_musr": { "acc_norm,none": 0.44841269841269843, "acc_norm_stderr,none": 0.01786233407718341, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.39453125, "acc_norm_stderr,none": 0.030606698150250366 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.384, "acc_norm_stderr,none": 0.030821679117375447 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). 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More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

artnoage/Numina

artnoage

--- annotations_creators: - expert-generated language: - en language_creators: - expert-generated license: mit multilinguality: - monolingual pretty_name: Numina-Olympiads size_categories: - 1K<n<10K source_datasets: - AI-MO/NuminaMath-CoT task_categories: - text-generation - mathematical-reasoning task_ids: - math-word-problems - olympiad-math paperswithcode_id: numina-olympiads tags: - mathematics - olympiads - problem-solving - latex - mathematical-reasoning - math-word-problems - olympiad-math metrics: - name: filtered_ratio type: ratio value: 0.880 description: Ratio of filtered dataset size to original dataset size --- # Numina-Olympiads Filtered NuminaMath-CoT dataset containing only olympiads problems with valid answers. ## Dataset Information - Split: train - Original size: 859494 - Filtered size: 756193 - Source: olympiads - All examples contain valid boxed answers ## Dataset Description This dataset is a filtered version of the NuminaMath-CoT dataset, containing only problems from olympiad sources that have valid boxed answers. Each example includes: - A mathematical word problem - A detailed solution with step-by-step reasoning - A boxed final answer in LaTeX format ## Usage The dataset is particularly useful for: - Training and evaluating math problem-solving models - Studying olympiad-style mathematical reasoning - Testing model capabilities on complex word problems

HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_43

HamdanXI

--- dataset_info: features: - name: audio_clip sequence: float64 - name: layer0_prediction sequence: float64 - name: predicted_text dtype: string - name: speaker_id dtype: string splits: - name: train num_bytes: 2646635635 num_examples: 100 download_size: 1905053582 dataset_size: 2646635635 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_43" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/gmonsoon__StockSeaLLMs-7B-v1-details

open-llm-leaderboard

--- pretty_name: Evaluation run of gmonsoon/StockSeaLLMs-7B-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [gmonsoon/StockSeaLLMs-7B-v1](https://huggingface.co/gmonsoon/StockSeaLLMs-7B-v1)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/gmonsoon__StockSeaLLMs-7B-v1-details\"\ ,\n\tname=\"gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-21T13-45-45.216237](https://huggingface.co/datasets/open-llm-leaderboard/gmonsoon__StockSeaLLMs-7B-v1-details/blob/main/gmonsoon__StockSeaLLMs-7B-v1/results_2024-11-21T13-45-45.216237.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"prompt_level_loose_acc,none\": 0.43068391866913125,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.021308808857898823,\n \"\ acc_norm,none\": 0.47956933454403944,\n \"acc_norm_stderr,none\": 0.005332877202997923,\n\ \ \"acc,none\": 0.39519614361702127,\n \"acc_stderr,none\"\ : 0.00445720656433847,\n \"exact_match,none\": 0.17598187311178248,\n\ \ \"exact_match_stderr,none\": 0.009729917778735123,\n \"\ inst_level_loose_acc,none\": 0.5407673860911271,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"inst_level_strict_acc,none\": 0.513189448441247,\n \ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.4066543438077634,\n \"prompt_level_strict_acc_stderr,none\": 0.021138283177336344,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.5238673841346988,\n \"acc_norm_stderr,none\"\ : 0.006158688482621799,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.852,\n\ \ \"acc_norm_stderr,none\": 0.022503547243806186\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ : 0.0354849234134303\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.58,\n\ \ \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\":\ \ 0.03131803437491622\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.408,\n \"acc_norm_stderr,none\": 0.031145209846548512\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.748,\n \ \ \"acc_norm_stderr,none\": 0.027513851933031318\n },\n \"\ leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\": \" \ \ - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\":\ \ 0.030186568464511673\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.5684931506849316,\n \"acc_norm_stderr,none\": 0.041131302645371945\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.576,\n \ \ \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.452,\n \"acc_norm_stderr,none\":\ \ 0.03153986449255664\n },\n \"leaderboard_bbh_snarks\": {\n \ \ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\ : 0.6404494382022472,\n \"acc_norm_stderr,none\": 0.03606913914074032\n\ \ },\n \"leaderboard_bbh_sports_understanding\": {\n \"\ alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.812,\n \"acc_norm_stderr,none\": 0.02476037772775051\n },\n\ \ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.456,\n\ \ \"acc_norm_stderr,none\": 0.031563285061213475\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.124,\n \"acc_norm_stderr,none\":\ \ 0.020886382258673272\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.268,\n \"acc_norm_stderr,none\":\ \ 0.02806876238252672\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3028523489932886,\n\ \ \"acc_norm_stderr,none\": 0.013316733936515984,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.2676767676767677,\n \"acc_norm_stderr,none\": 0.031544498882702825\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.304029304029304,\n\ \ \"acc_norm_stderr,none\": 0.019704024937907735\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3169642857142857,\n \"acc_norm_stderr,none\"\ : 0.0220076215848248\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.4066543438077634,\n \"prompt_level_strict_acc_stderr,none\": 0.021138283177336344,\n\ \ \"inst_level_strict_acc,none\": 0.513189448441247,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.43068391866913125,\n \"prompt_level_loose_acc_stderr,none\": 0.021308808857898823,\n\ \ \"inst_level_loose_acc,none\": 0.5407673860911271,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.17598187311178248,\n \"exact_match_stderr,none\"\ : 0.009729917778735123,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.3811074918566775,\n\ \ \"exact_match_stderr,none\": 0.02776327166045321\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \" \ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.10569105691056911,\n \"exact_match_stderr,none\": 0.0278344722877674\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.09090909090909091,\n\ \ \"exact_match_stderr,none\": 0.0251172256361608\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.025,\n \"exact_match_stderr,none\": 0.009346956263824575\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \"\ \ - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.14285714285714285,\n\ \ \"exact_match_stderr,none\": 0.028289929799333556\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.3005181347150259,\n \"exact_match_stderr,none\"\ : 0.033088185944157515\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.02962962962962963,\n \"exact_match_stderr,none\"\ : 0.014648038602753809\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.39519614361702127,\n\ \ \"acc_stderr,none\": 0.00445720656433847\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.42063492063492064,\n \"acc_norm_stderr,none\"\ : 0.017713270487861726,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.536,\n\ \ \"acc_norm_stderr,none\": 0.031603975145223735\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.328125,\n \"acc_norm_stderr,none\"\ : 0.029403146715355242\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_loose_acc,none\"\ : 0.43068391866913125,\n \"prompt_level_loose_acc_stderr,none\": 0.021308808857898823,\n\ \ \"acc_norm,none\": 0.47956933454403944,\n \"acc_norm_stderr,none\"\ : 0.005332877202997923,\n \"acc,none\": 0.39519614361702127,\n \"\ acc_stderr,none\": 0.00445720656433847,\n \"exact_match,none\": 0.17598187311178248,\n\ \ \"exact_match_stderr,none\": 0.009729917778735123,\n \"inst_level_loose_acc,none\"\ : 0.5407673860911271,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_strict_acc,none\": 0.513189448441247,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_strict_acc,none\": 0.4066543438077634,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.021138283177336344,\n \"\ alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.5238673841346988,\n \"acc_norm_stderr,none\": 0.006158688482621799,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ acc_norm,none\": 0.852,\n \"acc_norm_stderr,none\": 0.022503547243806186\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ : 0.0354849234134303\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.408,\n \"acc_norm_stderr,none\": 0.031145209846548512\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.748,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.030186568464511673\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.5684931506849316,\n\ \ \"acc_norm_stderr,none\": 0.041131302645371945\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.452,\n \"acc_norm_stderr,none\": 0.03153986449255664\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6404494382022472,\n \"acc_norm_stderr,none\"\ : 0.03606913914074032\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.812,\n \"acc_norm_stderr,none\": 0.02476037772775051\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.124,\n \"acc_norm_stderr,none\": 0.020886382258673272\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.268,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3028523489932886,\n\ \ \"acc_norm_stderr,none\": 0.013316733936515984,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.2676767676767677,\n\ \ \"acc_norm_stderr,none\": 0.031544498882702825\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.304029304029304,\n \"acc_norm_stderr,none\": 0.019704024937907735\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3169642857142857,\n \"acc_norm_stderr,none\"\ : 0.0220076215848248\n },\n \"leaderboard_ifeval\": {\n \"alias\":\ \ \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.4066543438077634,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021138283177336344,\n \ \ \"inst_level_strict_acc,none\": 0.513189448441247,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.43068391866913125,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.021308808857898823,\n \"inst_level_loose_acc,none\"\ : 0.5407673860911271,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.17598187311178248,\n\ \ \"exact_match_stderr,none\": 0.009729917778735123,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.3811074918566775,\n \"exact_match_stderr,none\": 0.02776327166045321\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.10569105691056911,\n \"exact_match_stderr,none\": 0.0278344722877674\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.09090909090909091,\n \"exact_match_stderr,none\"\ : 0.0251172256361608\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.025,\n \"exact_match_stderr,none\": 0.009346956263824575\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ ,\n \"exact_match,none\": 0.14285714285714285,\n \"exact_match_stderr,none\"\ : 0.028289929799333556\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ : 0.3005181347150259,\n \"exact_match_stderr,none\": 0.033088185944157515\n\ \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ \ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.02962962962962963,\n\ \ \"exact_match_stderr,none\": 0.014648038602753809\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.39519614361702127,\n\ \ \"acc_stderr,none\": 0.00445720656433847\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.42063492063492064,\n \"acc_norm_stderr,none\"\ : 0.017713270487861726,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.328125,\n\ \ \"acc_norm_stderr,none\": 0.029403146715355242\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253316\n }\n}\n```" repo_url: https://huggingface.co/gmonsoon/StockSeaLLMs-7B-v1 leaderboard_url: '' point_of_contact: '' configs: - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_date_understanding data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_navigate data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_object_counting data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_ruin_names data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_snarks data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_gpqa_diamond data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_gpqa_extended data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_gpqa_main data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_gpqa_main_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_ifeval data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_ifeval_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_algebra_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_geometry_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_num_theory_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_math_precalculus_hard data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_mmlu_pro data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_musr_object_placements data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T13-45-45.216237.jsonl' - config_name: gmonsoon__StockSeaLLMs-7B-v1__leaderboard_musr_team_allocation data_files: - split: 2024_11_21T13_45_45.216237 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T13-45-45.216237.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T13-45-45.216237.jsonl' --- # Dataset Card for Evaluation run of gmonsoon/StockSeaLLMs-7B-v1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [gmonsoon/StockSeaLLMs-7B-v1](https://huggingface.co/gmonsoon/StockSeaLLMs-7B-v1) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/gmonsoon__StockSeaLLMs-7B-v1-details", name="gmonsoon__StockSeaLLMs-7B-v1__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-21T13-45-45.216237](https://huggingface.co/datasets/open-llm-leaderboard/gmonsoon__StockSeaLLMs-7B-v1-details/blob/main/gmonsoon__StockSeaLLMs-7B-v1/results_2024-11-21T13-45-45.216237.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "prompt_level_loose_acc,none": 0.43068391866913125, "prompt_level_loose_acc_stderr,none": 0.021308808857898823, "acc_norm,none": 0.47956933454403944, "acc_norm_stderr,none": 0.005332877202997923, "acc,none": 0.39519614361702127, "acc_stderr,none": 0.00445720656433847, "exact_match,none": 0.17598187311178248, "exact_match_stderr,none": 0.009729917778735123, "inst_level_loose_acc,none": 0.5407673860911271, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.513189448441247, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.4066543438077634, "prompt_level_strict_acc_stderr,none": 0.021138283177336344, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5238673841346988, "acc_norm_stderr,none": 0.006158688482621799, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6256684491978609, "acc_norm_stderr,none": 0.0354849234134303 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.03168215643141386 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.408, "acc_norm_stderr,none": 0.031145209846548512 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.512, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.652, "acc_norm_stderr,none": 0.030186568464511673 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5684931506849316, "acc_norm_stderr,none": 0.041131302645371945 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.452, "acc_norm_stderr,none": 0.03153986449255664 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6404494382022472, "acc_norm_stderr,none": 0.03606913914074032 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.812, "acc_norm_stderr,none": 0.02476037772775051 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.16, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.124, "acc_norm_stderr,none": 0.020886382258673272 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.268, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_gpqa": { "acc_norm,none": 0.3028523489932886, "acc_norm_stderr,none": 0.013316733936515984, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.2676767676767677, "acc_norm_stderr,none": 0.031544498882702825 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.304029304029304, "acc_norm_stderr,none": 0.019704024937907735 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3169642857142857, "acc_norm_stderr,none": 0.0220076215848248 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.4066543438077634, "prompt_level_strict_acc_stderr,none": 0.021138283177336344, "inst_level_strict_acc,none": 0.513189448441247, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.43068391866913125, "prompt_level_loose_acc_stderr,none": 0.021308808857898823, "inst_level_loose_acc,none": 0.5407673860911271, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.17598187311178248, "exact_match_stderr,none": 0.009729917778735123, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3811074918566775, "exact_match_stderr,none": 0.02776327166045321 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.10569105691056911, "exact_match_stderr,none": 0.0278344722877674 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.09090909090909091, "exact_match_stderr,none": 0.0251172256361608 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.025, "exact_match_stderr,none": 0.009346956263824575 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.14285714285714285, "exact_match_stderr,none": 0.028289929799333556 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.3005181347150259, "exact_match_stderr,none": 0.033088185944157515 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.02962962962962963, "exact_match_stderr,none": 0.014648038602753809 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.39519614361702127, "acc_stderr,none": 0.00445720656433847 }, "leaderboard_musr": { "acc_norm,none": 0.42063492063492064, "acc_norm_stderr,none": 0.017713270487861726, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.328125, "acc_norm_stderr,none": 0.029403146715355242 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.4, "acc_norm_stderr,none": 0.031046021028253316 } }, "leaderboard": { "prompt_level_loose_acc,none": 0.43068391866913125, "prompt_level_loose_acc_stderr,none": 0.021308808857898823, "acc_norm,none": 0.47956933454403944, "acc_norm_stderr,none": 0.005332877202997923, "acc,none": 0.39519614361702127, "acc_stderr,none": 0.00445720656433847, "exact_match,none": 0.17598187311178248, "exact_match_stderr,none": 0.009729917778735123, "inst_level_loose_acc,none": 0.5407673860911271, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.513189448441247, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.4066543438077634, "prompt_level_strict_acc_stderr,none": 0.021138283177336344, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5238673841346988, "acc_norm_stderr,none": 0.006158688482621799, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6256684491978609, "acc_norm_stderr,none": 0.0354849234134303 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.03168215643141386 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.408, "acc_norm_stderr,none": 0.031145209846548512 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.512, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.652, "acc_norm_stderr,none": 0.030186568464511673 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5684931506849316, "acc_norm_stderr,none": 0.041131302645371945 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.452, "acc_norm_stderr,none": 0.03153986449255664 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6404494382022472, "acc_norm_stderr,none": 0.03606913914074032 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.812, "acc_norm_stderr,none": 0.02476037772775051 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.16, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.124, "acc_norm_stderr,none": 0.020886382258673272 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.268, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_gpqa": { "acc_norm,none": 0.3028523489932886, "acc_norm_stderr,none": 0.013316733936515984, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.2676767676767677, "acc_norm_stderr,none": 0.031544498882702825 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.304029304029304, "acc_norm_stderr,none": 0.019704024937907735 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3169642857142857, "acc_norm_stderr,none": 0.0220076215848248 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.4066543438077634, "prompt_level_strict_acc_stderr,none": 0.021138283177336344, "inst_level_strict_acc,none": 0.513189448441247, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.43068391866913125, "prompt_level_loose_acc_stderr,none": 0.021308808857898823, "inst_level_loose_acc,none": 0.5407673860911271, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.17598187311178248, "exact_match_stderr,none": 0.009729917778735123, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3811074918566775, "exact_match_stderr,none": 0.02776327166045321 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.10569105691056911, "exact_match_stderr,none": 0.0278344722877674 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.09090909090909091, "exact_match_stderr,none": 0.0251172256361608 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.025, "exact_match_stderr,none": 0.009346956263824575 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.14285714285714285, "exact_match_stderr,none": 0.028289929799333556 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.3005181347150259, "exact_match_stderr,none": 0.033088185944157515 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.02962962962962963, "exact_match_stderr,none": 0.014648038602753809 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.39519614361702127, "acc_stderr,none": 0.00445720656433847 }, "leaderboard_musr": { "acc_norm,none": 0.42063492063492064, "acc_norm_stderr,none": 0.017713270487861726, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.328125, "acc_norm_stderr,none": 0.029403146715355242 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.4, "acc_norm_stderr,none": 0.031046021028253316 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_51

HamdanXI

--- dataset_info: features: - name: audio_clip sequence: float64 - name: layer0_prediction sequence: float64 - name: predicted_text dtype: string - name: speaker_id dtype: string splits: - name: train num_bytes: 2646635310 num_examples: 100 download_size: 1926578960 dataset_size: 2646635310 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_51" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

SeppeV/joke_gen_of_mistral_ft_mean_score_dpo_w_ex_reasoning_prompt_wo_ex

SeppeV

--- dataset_info: features: - name: jokeText dtype: string - name: userId dtype: int64 splits: - name: train num_bytes: 173754 num_examples: 125 download_size: 90163 dataset_size: 173754 configs: - config_name: default data_files: - split: train path: data/train-* ---

HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_52

HamdanXI

--- dataset_info: features: - name: audio_clip sequence: float64 - name: layer0_prediction sequence: float64 - name: predicted_text dtype: string - name: speaker_id dtype: string splits: - name: train num_bytes: 2646635420 num_examples: 100 download_size: 1891530993 dataset_size: 2646635420 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_2sec_PERFECT_chunk_52" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

dgambettaphd/P_wiki_doc5000_real96

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: prompt dtype: string splits: - name: train num_bytes: 2628049 num_examples: 5000 download_size: 1706149 dataset_size: 2628049 configs: - config_name: default data_files: - split: train path: data/train-* ---

katyazevskaya/python-course

katyazevskaya

--- dataset_info: features: - name: Original Text dtype: string - name: Lemmatized Text sequence: string - name: POS Annotation sequence: sequence: string - name: NER Annotation sequence: sequence: string splits: - name: train num_bytes: 190320 num_examples: 1 download_size: 104732 dataset_size: 190320 configs: - config_name: default data_files: - split: train path: data/train-* ---

VladLoPG/alice_gpt

VladLoPG

--- license: apache-2.0 ---

A-l-e-x/gravitation

A-l-e-x

--- license: mit ---

Priya098098/Raj

Priya098098

--- license: apache-2.0 ---

open-llm-leaderboard/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct-details

open-llm-leaderboard

--- pretty_name: Evaluation run of GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct-details\"\ ,\n\tname=\"GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-21T16-06-20.952173](https://huggingface.co/datasets/open-llm-leaderboard/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct-details/blob/main/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct/results_2024-11-21T16-06-20.952173.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"prompt_level_strict_acc,none\": 0.6062846580406654,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.021024834145872404,\n \"\ acc_norm,none\": 0.5431314048514723,\n \"acc_norm_stderr,none\": 0.005317050852347761,\n\ \ \"inst_level_loose_acc,none\": 0.7302158273381295,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.4263630319148936,\n\ \ \"acc_stderr,none\": 0.004508763683858449,\n \"inst_level_strict_acc,none\"\ : 0.7038369304556354,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"exact_match,none\": 0.19788519637462235,\n \"exact_match_stderr,none\"\ : 0.009998835994126825,\n \"prompt_level_loose_acc,none\": 0.6395563770794824,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.0206614696698795,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n\ \ \"acc_norm,none\": 0.5948620031244576,\n \"acc_norm_stderr,none\"\ : 0.006083807836624403,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.856,\n\ \ \"acc_norm_stderr,none\": 0.022249407735450245\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6363636363636364,\n \"acc_norm_stderr,none\"\ : 0.03527198153014412\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.636,\n\ \ \"acc_norm_stderr,none\": 0.030491555220405475\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\":\ \ 0.031235856237014505\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.724,\n \ \ \"acc_norm_stderr,none\": 0.02832853727421142\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\":\ \ 0.031563285061213475\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\":\ \ 0.031603975145223735\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\":\ \ 0.025537121574548162\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.644,\n \ \ \"acc_norm_stderr,none\": 0.0303436806571532\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.5684931506849316,\n \"acc_norm_stderr,none\": 0.041131302645371945\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.864,\n \ \ \"acc_norm_stderr,none\": 0.021723342617052086\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6460674157303371,\n \"acc_norm_stderr,none\"\ : 0.03594285405211505\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.852,\n \"acc_norm_stderr,none\": 0.022503547243806186\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.592,\n\ \ \"acc_norm_stderr,none\": 0.03114520984654851\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.268,\n \"acc_norm_stderr,none\":\ \ 0.02806876238252672\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.344,\n \"acc_norm_stderr,none\":\ \ 0.03010450339231644\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3347315436241611,\n\ \ \"acc_norm_stderr,none\": 0.013681339748209233,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3434343434343434,\n \"acc_norm_stderr,none\": 0.03383201223244441\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.32234432234432236,\n\ \ \"acc_norm_stderr,none\": 0.020020102750045735\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.34598214285714285,\n \"acc_norm_stderr,none\"\ : 0.022499241830682457\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.6062846580406654,\n \"prompt_level_strict_acc_stderr,none\": 0.021024834145872404,\n\ \ \"inst_level_strict_acc,none\": 0.7038369304556354,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.6395563770794824,\n \"prompt_level_loose_acc_stderr,none\": 0.0206614696698795,\n\ \ \"inst_level_loose_acc,none\": 0.7302158273381295,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.19788519637462235,\n \"exact_match_stderr,none\"\ : 0.009998835994126825,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.43322475570032576,\n\ \ \"exact_match_stderr,none\": 0.028327050442298423\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.06818181818181818,\n\ \ \"exact_match_stderr,none\": 0.022022378945902827\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.03571428571428571,\n \"exact_match_stderr,none\": 0.011110196729254557\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.12337662337662338,\n\ \ \"exact_match_stderr,none\": 0.026587484423674337\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181008\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.05925925925925926,\n \"exact_match_stderr,none\"\ : 0.02039673654232189\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.4263630319148936,\n\ \ \"acc_stderr,none\": 0.004508763683858449\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4775132275132275,\n \"acc_norm_stderr,none\"\ : 0.01802634312352244,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.576,\n\ \ \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.43359375,\n \"acc_norm_stderr,none\"\ : 0.031033834158735715\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.424,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_strict_acc,none\"\ : 0.6062846580406654,\n \"prompt_level_strict_acc_stderr,none\": 0.021024834145872404,\n\ \ \"acc_norm,none\": 0.5431314048514723,\n \"acc_norm_stderr,none\"\ : 0.005317050852347761,\n \"inst_level_loose_acc,none\": 0.7302158273381295,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.4263630319148936,\n\ \ \"acc_stderr,none\": 0.004508763683858449,\n \"inst_level_strict_acc,none\"\ : 0.7038369304556354,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"exact_match,none\": 0.19788519637462235,\n \"exact_match_stderr,none\"\ : 0.009998835994126825,\n \"prompt_level_loose_acc,none\": 0.6395563770794824,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.0206614696698795,\n \"\ alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.5948620031244576,\n \"acc_norm_stderr,none\": 0.006083807836624403,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ acc_norm,none\": 0.856,\n \"acc_norm_stderr,none\": 0.022249407735450245\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6363636363636364,\n \"acc_norm_stderr,none\"\ : 0.03527198153014412\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.02832853727421142\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.796,\n \"acc_norm_stderr,none\": 0.025537121574548162\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.5684931506849316,\n\ \ \"acc_norm_stderr,none\": 0.041131302645371945\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6460674157303371,\n \"acc_norm_stderr,none\"\ : 0.03594285405211505\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.852,\n \"acc_norm_stderr,none\": 0.022503547243806186\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.268,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.344,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3347315436241611,\n\ \ \"acc_norm_stderr,none\": 0.013681339748209233,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3434343434343434,\n\ \ \"acc_norm_stderr,none\": 0.03383201223244441\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.32234432234432236,\n \"acc_norm_stderr,none\": 0.020020102750045735\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.34598214285714285,\n \"acc_norm_stderr,none\"\ : 0.022499241830682457\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.6062846580406654,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021024834145872404,\n \ \ \"inst_level_strict_acc,none\": 0.7038369304556354,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.6395563770794824,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.0206614696698795,\n \"inst_level_loose_acc,none\"\ : 0.7302158273381295,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.19788519637462235,\n\ \ \"exact_match_stderr,none\": 0.009998835994126825,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.43322475570032576,\n \"exact_match_stderr,none\": 0.028327050442298423\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.06818181818181818,\n \"exact_match_stderr,none\"\ : 0.022022378945902827\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.03571428571428571,\n \"exact_match_stderr,none\"\ : 0.011110196729254557\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.12337662337662338,\n \"exact_match_stderr,none\": 0.026587484423674337\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181008\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.05925925925925926,\n \"exact_match_stderr,none\": 0.02039673654232189\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.4263630319148936,\n \"acc_stderr,none\": 0.004508763683858449\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4775132275132275,\n\ \ \"acc_norm_stderr,none\": 0.01802634312352244,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.43359375,\n \"acc_norm_stderr,none\": 0.031033834158735715\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.424,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ }\n}\n```" repo_url: https://huggingface.co/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_navigate data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_object_counting data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_snarks data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_diamond data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_extended data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_main data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_gpqa_main_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_ifeval data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_ifeval_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_algebra_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_geometry_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_mmlu_pro data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_musr_object_placements data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T16-06-20.952173.jsonl' - config_name: GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_musr_team_allocation data_files: - split: 2024_11_21T16_06_20.952173 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T16-06-20.952173.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T16-06-20.952173.jsonl' --- # Dataset Card for Evaluation run of GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct-details", name="GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-21T16-06-20.952173](https://huggingface.co/datasets/open-llm-leaderboard/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct-details/blob/main/GoToCompany__gemma2-9b-cpt-sahabatai-v1-instruct/results_2024-11-21T16-06-20.952173.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "prompt_level_strict_acc,none": 0.6062846580406654, "prompt_level_strict_acc_stderr,none": 0.021024834145872404, "acc_norm,none": 0.5431314048514723, "acc_norm_stderr,none": 0.005317050852347761, "inst_level_loose_acc,none": 0.7302158273381295, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.4263630319148936, "acc_stderr,none": 0.004508763683858449, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "exact_match,none": 0.19788519637462235, "exact_match_stderr,none": 0.009998835994126825, "prompt_level_loose_acc,none": 0.6395563770794824, "prompt_level_loose_acc_stderr,none": 0.0206614696698795, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5948620031244576, "acc_norm_stderr,none": 0.006083807836624403, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.856, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6363636363636364, "acc_norm_stderr,none": 0.03527198153014412 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.584, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.02832853727421142 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.744, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.644, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5684931506849316, "acc_norm_stderr,none": 0.041131302645371945 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.864, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6460674157303371, "acc_norm_stderr,none": 0.03594285405211505 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.268, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.344, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_gpqa": { "acc_norm,none": 0.3347315436241611, "acc_norm_stderr,none": 0.013681339748209233, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3434343434343434, "acc_norm_stderr,none": 0.03383201223244441 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.32234432234432236, "acc_norm_stderr,none": 0.020020102750045735 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.34598214285714285, "acc_norm_stderr,none": 0.022499241830682457 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.6062846580406654, "prompt_level_strict_acc_stderr,none": 0.021024834145872404, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.6395563770794824, "prompt_level_loose_acc_stderr,none": 0.0206614696698795, "inst_level_loose_acc,none": 0.7302158273381295, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.19788519637462235, "exact_match_stderr,none": 0.009998835994126825, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.43322475570032576, "exact_match_stderr,none": 0.028327050442298423 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.06818181818181818, "exact_match_stderr,none": 0.022022378945902827 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03571428571428571, "exact_match_stderr,none": 0.011110196729254557 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.12337662337662338, "exact_match_stderr,none": 0.026587484423674337 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181008 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.05925925925925926, "exact_match_stderr,none": 0.02039673654232189 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.4263630319148936, "acc_stderr,none": 0.004508763683858449 }, "leaderboard_musr": { "acc_norm,none": 0.4775132275132275, "acc_norm_stderr,none": 0.01802634312352244, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.43359375, "acc_norm_stderr,none": 0.031033834158735715 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.424, "acc_norm_stderr,none": 0.03131803437491622 } }, "leaderboard": { "prompt_level_strict_acc,none": 0.6062846580406654, "prompt_level_strict_acc_stderr,none": 0.021024834145872404, "acc_norm,none": 0.5431314048514723, "acc_norm_stderr,none": 0.005317050852347761, "inst_level_loose_acc,none": 0.7302158273381295, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.4263630319148936, "acc_stderr,none": 0.004508763683858449, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "exact_match,none": 0.19788519637462235, "exact_match_stderr,none": 0.009998835994126825, "prompt_level_loose_acc,none": 0.6395563770794824, "prompt_level_loose_acc_stderr,none": 0.0206614696698795, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5948620031244576, "acc_norm_stderr,none": 0.006083807836624403, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.856, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6363636363636364, "acc_norm_stderr,none": 0.03527198153014412 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.584, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.02832853727421142 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.744, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.644, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5684931506849316, "acc_norm_stderr,none": 0.041131302645371945 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.864, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6460674157303371, "acc_norm_stderr,none": 0.03594285405211505 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.268, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.344, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_gpqa": { "acc_norm,none": 0.3347315436241611, "acc_norm_stderr,none": 0.013681339748209233, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3434343434343434, "acc_norm_stderr,none": 0.03383201223244441 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.32234432234432236, "acc_norm_stderr,none": 0.020020102750045735 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.34598214285714285, "acc_norm_stderr,none": 0.022499241830682457 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.6062846580406654, "prompt_level_strict_acc_stderr,none": 0.021024834145872404, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.6395563770794824, "prompt_level_loose_acc_stderr,none": 0.0206614696698795, "inst_level_loose_acc,none": 0.7302158273381295, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.19788519637462235, "exact_match_stderr,none": 0.009998835994126825, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.43322475570032576, "exact_match_stderr,none": 0.028327050442298423 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.06818181818181818, "exact_match_stderr,none": 0.022022378945902827 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03571428571428571, "exact_match_stderr,none": 0.011110196729254557 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.12337662337662338, "exact_match_stderr,none": 0.026587484423674337 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181008 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.05925925925925926, "exact_match_stderr,none": 0.02039673654232189 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.4263630319148936, "acc_stderr,none": 0.004508763683858449 }, "leaderboard_musr": { "acc_norm,none": 0.4775132275132275, "acc_norm_stderr,none": 0.01802634312352244, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.43359375, "acc_norm_stderr,none": 0.031033834158735715 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.424, "acc_norm_stderr,none": 0.03131803437491622 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - 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Tensorists/SD3_5_Turbo_images_combined

Tensorists

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Airplane '1': Automobile '2': Bird '3': Cat '4': Deer '5': Dog '6': Frog '7': Horse '8': Ship '9': Truck splits: - name: train num_bytes: 4472583093.935 num_examples: 2985 download_size: 4472859758 dataset_size: 4472583093.935 configs: - config_name: default data_files: - split: train path: data/train-* ---

Tensorists/SD3_images

Tensorists

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Dog '1': Frog '2': Horse '3': Ship '4': Truck splits: - name: train num_bytes: 619872098.741 num_examples: 1489 download_size: 619156629 dataset_size: 619872098.741 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/mistral_toxigen-data-test_2fewshot_limiar3

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 splits: - name: train num_bytes: 393176 num_examples: 940 download_size: 85177 dataset_size: 393176 configs: - config_name: default data_files: - split: train path: data/train-* ---

Vinisf/Vinicin

Vinisf

--- license: openrail ---

procit007/treated_0.3

procit007

--- dataset_info: features: - name: gender dtype: string - name: accent dtype: string - name: speaker_id dtype: int64 - name: speaker_name dtype: string - name: text dtype: string - name: normalized_text dtype: string - name: audio dtype: audio - name: treated dtype: bool - name: metrics struct: - name: clipping_ratio dtype: float64 - name: duration dtype: float64 - name: is_valid dtype: bool - name: rms_energy dtype: float64 - name: sample_rate dtype: int64 - name: silence_ratio dtype: float64 - name: snr dtype: float64 splits: - name: train num_bytes: 3176831243.0 num_examples: 10000 download_size: 2978489519 dataset_size: 3176831243.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettaphd/P_wiki_doc10000_real64

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: prompt dtype: string splits: - name: train num_bytes: 3528280 num_examples: 10000 download_size: 2306183 dataset_size: 3528280 configs: - config_name: default data_files: - split: train path: data/train-* ---

GabrielML/SteamGRS

GabrielML

--- license: apache-2.0 task_categories: - text-classification language: - de size_categories: - 1K<n<10K --- Steam German Review Sentiment (SteamGRS) for seminar work (LoRA experiments).

open-llm-leaderboard/zelk12__MT3-Gen2-gemma-2-9B-details

open-llm-leaderboard

--- pretty_name: Evaluation run of zelk12/MT3-Gen2-gemma-2-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [zelk12/MT3-Gen2-gemma-2-9B](https://huggingface.co/zelk12/MT3-Gen2-gemma-2-9B)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/zelk12__MT3-Gen2-gemma-2-9B-details\"\ ,\n\tname=\"zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_boolean_expressions\",\n\ \tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-21T18-43-33.559212](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT3-Gen2-gemma-2-9B-details/blob/main/zelk12__MT3-Gen2-gemma-2-9B/results_2024-11-21T18-43-33.559212.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"prompt_level_strict_acc,none\": 0.744916820702403,\n \"\ prompt_level_strict_acc_stderr,none\": 0.018758491950414184,\n \"acc,none\"\ : 0.43326130319148937,\n \"acc_stderr,none\": 0.004517680579088188,\n\ \ \"acc_norm,none\": 0.54987676741471,\n \"acc_norm_stderr,none\"\ : 0.005289250250282228,\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \ \ \"exact_match,none\": 0.02039274924471299,\n \"exact_match_stderr,none\"\ : 0.003847017757728751,\n \"inst_level_loose_acc,none\": 0.842925659472422,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ : 0.8237410071942446,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6080541572643638,\n \"acc_norm_stderr,none\"\ : 0.0060467875310710436,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.852,\n\ \ \"acc_norm_stderr,none\": 0.022503547243806186\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6310160427807486,\n \"acc_norm_stderr,none\"\ : 0.03538078548260318\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.656,\n\ \ \"acc_norm_stderr,none\": 0.03010450339231644\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\"\ : \" - leaderboard_bbh_geometric_shapes\",\n \"acc_norm,none\": 0.52,\n\ \ \"acc_norm_stderr,none\": 0.03166085340849512\n },\n \ \ \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\":\ \ 0.02925692860650181\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\":\ \ 0.03131803437491622\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\":\ \ 0.031355968923772626\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.836,\n \"acc_norm_stderr,none\":\ \ 0.023465261002076715\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.676,\n \ \ \"acc_norm_stderr,none\": 0.029658294924545567\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\": 0.02857695873043744\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.5958904109589042,\n \"acc_norm_stderr,none\": 0.0407519857003932\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.808,\n \ \ \"acc_norm_stderr,none\": 0.02496069198917196\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\":\ \ 0.03114520984654851\n },\n \"leaderboard_bbh_snarks\": {\n \ \ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\ : 0.6966292134831461,\n \"acc_norm_stderr,none\": 0.03455421944400101\n\ \ },\n \"leaderboard_bbh_sports_understanding\": {\n \"\ alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.832,\n \"acc_norm_stderr,none\": 0.023692813205492536\n },\n\ \ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.844,\n\ \ \"acc_norm_stderr,none\": 0.022995023034068682\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.296,\n \"acc_norm_stderr,none\": 0.028928939388379694\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\":\ \ 0.02915021337415965\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3573825503355705,\n\ \ \"acc_norm_stderr,none\": 0.013891832771494425,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3888888888888889,\n \"acc_norm_stderr,none\": 0.03473279590836963\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3534798534798535,\n\ \ \"acc_norm_stderr,none\": 0.020477414126085836\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3482142857142857,\n \"acc_norm_stderr,none\"\ : 0.022533152157915175\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.744916820702403,\n \"prompt_level_strict_acc_stderr,none\": 0.018758491950414184,\n\ \ \"inst_level_strict_acc,none\": 0.8237410071942446,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.767097966728281,\n \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n\ \ \"inst_level_loose_acc,none\": 0.842925659472422,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.02039274924471299,\n \"exact_match_stderr,none\": 0.003847017757728751,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \ \ \"exact_match,none\": 0.05537459283387622,\n \"exact_match_stderr,none\"\ : 0.01307447837002421\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_math_geometry_hard\": {\n \"\ alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ : 0.007575757575757576,\n \"exact_match_stderr,none\": 0.007575757575757577\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.01948051948051948,\n\ \ \"exact_match_stderr,none\": 0.011173331005571083\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.031088082901554404,\n \"exact_match_stderr,none\"\ : 0.012525310625527019\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.43326130319148937,\n \"acc_stderr,none\"\ : 0.004517680579088188\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.41005291005291006,\n \"acc_norm_stderr,none\"\ : 0.017490273970870246,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.54,\n\ \ \"acc_norm_stderr,none\": 0.031584653891499004\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.27734375,\n \"acc_norm_stderr,none\"\ : 0.02803528549328419\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_strict_acc,none\"\ : 0.744916820702403,\n \"prompt_level_strict_acc_stderr,none\": 0.018758491950414184,\n\ \ \"acc,none\": 0.43326130319148937,\n \"acc_stderr,none\": 0.004517680579088188,\n\ \ \"acc_norm,none\": 0.54987676741471,\n \"acc_norm_stderr,none\"\ : 0.005289250250282228,\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \"\ exact_match,none\": 0.02039274924471299,\n \"exact_match_stderr,none\": 0.003847017757728751,\n\ \ \"inst_level_loose_acc,none\": 0.842925659472422,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"inst_level_strict_acc,none\": 0.8237410071942446,\n \ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6080541572643638,\n\ \ \"acc_norm_stderr,none\": 0.0060467875310710436,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.852,\n \"acc_norm_stderr,none\": 0.022503547243806186\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6310160427807486,\n \"acc_norm_stderr,none\"\ : 0.03538078548260318\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.836,\n \"acc_norm_stderr,none\": 0.023465261002076715\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\": 0.02857695873043744\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.5958904109589042,\n\ \ \"acc_norm_stderr,none\": 0.0407519857003932\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6966292134831461,\n \"acc_norm_stderr,none\"\ : 0.03455421944400101\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.832,\n \"acc_norm_stderr,none\": 0.023692813205492536\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.296,\n \"acc_norm_stderr,none\": 0.028928939388379694\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3573825503355705,\n\ \ \"acc_norm_stderr,none\": 0.013891832771494425,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3888888888888889,\n\ \ \"acc_norm_stderr,none\": 0.03473279590836963\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3534798534798535,\n \"acc_norm_stderr,none\": 0.020477414126085836\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3482142857142857,\n \"acc_norm_stderr,none\"\ : 0.022533152157915175\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.744916820702403,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018758491950414184,\n \ \ \"inst_level_strict_acc,none\": 0.8237410071942446,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \"inst_level_loose_acc,none\"\ : 0.842925659472422,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.02039274924471299,\n\ \ \"exact_match_stderr,none\": 0.003847017757728751,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.05537459283387622,\n \"exact_match_stderr,none\": 0.01307447837002421\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_geometry_hard\"\ : {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ : 0.007575757575757576,\n \"exact_match_stderr,none\": 0.007575757575757577\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.01948051948051948,\n \"exact_match_stderr,none\": 0.011173331005571083\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.031088082901554404,\n \"exact_match_stderr,none\"\ : 0.012525310625527019\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.43326130319148937,\n\ \ \"acc_stderr,none\": 0.004517680579088188\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.41005291005291006,\n \"acc_norm_stderr,none\"\ : 0.017490273970870246,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.27734375,\n\ \ \"acc_norm_stderr,none\": 0.02803528549328419\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n }\n}\n```" repo_url: https://huggingface.co/zelk12/MT3-Gen2-gemma-2-9B leaderboard_url: '' point_of_contact: '' configs: - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_date_understanding data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_navigate data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_object_counting data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_ruin_names data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_snarks data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_gpqa_diamond data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_gpqa_extended data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_gpqa_main data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_gpqa_main_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_ifeval data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_ifeval_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_algebra_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_geometry_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_num_theory_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_math_precalculus_hard data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_mmlu_pro data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_musr_object_placements data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T18-43-33.559212.jsonl' - config_name: zelk12__MT3-Gen2-gemma-2-9B__leaderboard_musr_team_allocation data_files: - split: 2024_11_21T18_43_33.559212 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T18-43-33.559212.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T18-43-33.559212.jsonl' --- # Dataset Card for Evaluation run of zelk12/MT3-Gen2-gemma-2-9B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [zelk12/MT3-Gen2-gemma-2-9B](https://huggingface.co/zelk12/MT3-Gen2-gemma-2-9B) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/zelk12__MT3-Gen2-gemma-2-9B-details", name="zelk12__MT3-Gen2-gemma-2-9B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-21T18-43-33.559212](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT3-Gen2-gemma-2-9B-details/blob/main/zelk12__MT3-Gen2-gemma-2-9B/results_2024-11-21T18-43-33.559212.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "prompt_level_strict_acc,none": 0.744916820702403, "prompt_level_strict_acc_stderr,none": 0.018758491950414184, "acc,none": 0.43326130319148937, "acc_stderr,none": 0.004517680579088188, "acc_norm,none": 0.54987676741471, "acc_norm_stderr,none": 0.005289250250282228, "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "exact_match,none": 0.02039274924471299, "exact_match_stderr,none": 0.003847017757728751, "inst_level_loose_acc,none": 0.842925659472422, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8237410071942446, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6080541572643638, "acc_norm_stderr,none": 0.0060467875310710436, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6310160427807486, "acc_norm_stderr,none": 0.03538078548260318 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.836, "acc_norm_stderr,none": 0.023465261002076715 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.284, "acc_norm_stderr,none": 0.02857695873043744 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5958904109589042, "acc_norm_stderr,none": 0.0407519857003932 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6966292134831461, "acc_norm_stderr,none": 0.03455421944400101 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.832, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.296, "acc_norm_stderr,none": 0.028928939388379694 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.512, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.3573825503355705, "acc_norm_stderr,none": 0.013891832771494425, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3888888888888889, "acc_norm_stderr,none": 0.03473279590836963 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3534798534798535, "acc_norm_stderr,none": 0.020477414126085836 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3482142857142857, "acc_norm_stderr,none": 0.022533152157915175 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.744916820702403, "prompt_level_strict_acc_stderr,none": 0.018758491950414184, "inst_level_strict_acc,none": 0.8237410071942446, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "inst_level_loose_acc,none": 0.842925659472422, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.02039274924471299, "exact_match_stderr,none": 0.003847017757728751, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.05537459283387622, "exact_match_stderr,none": 0.01307447837002421 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.007575757575757576, "exact_match_stderr,none": 0.007575757575757577 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.01948051948051948, "exact_match_stderr,none": 0.011173331005571083 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.031088082901554404, "exact_match_stderr,none": 0.012525310625527019 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43326130319148937, "acc_stderr,none": 0.004517680579088188 }, "leaderboard_musr": { "acc_norm,none": 0.41005291005291006, "acc_norm_stderr,none": 0.017490273970870246, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.27734375, "acc_norm_stderr,none": 0.02803528549328419 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 } }, "leaderboard": { "prompt_level_strict_acc,none": 0.744916820702403, "prompt_level_strict_acc_stderr,none": 0.018758491950414184, "acc,none": 0.43326130319148937, "acc_stderr,none": 0.004517680579088188, "acc_norm,none": 0.54987676741471, "acc_norm_stderr,none": 0.005289250250282228, "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "exact_match,none": 0.02039274924471299, "exact_match_stderr,none": 0.003847017757728751, "inst_level_loose_acc,none": 0.842925659472422, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8237410071942446, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6080541572643638, "acc_norm_stderr,none": 0.0060467875310710436, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6310160427807486, "acc_norm_stderr,none": 0.03538078548260318 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.836, "acc_norm_stderr,none": 0.023465261002076715 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.284, "acc_norm_stderr,none": 0.02857695873043744 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5958904109589042, "acc_norm_stderr,none": 0.0407519857003932 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6966292134831461, "acc_norm_stderr,none": 0.03455421944400101 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.832, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.296, "acc_norm_stderr,none": 0.028928939388379694 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.512, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.3573825503355705, "acc_norm_stderr,none": 0.013891832771494425, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3888888888888889, "acc_norm_stderr,none": 0.03473279590836963 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3534798534798535, "acc_norm_stderr,none": 0.020477414126085836 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3482142857142857, "acc_norm_stderr,none": 0.022533152157915175 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.744916820702403, "prompt_level_strict_acc_stderr,none": 0.018758491950414184, "inst_level_strict_acc,none": 0.8237410071942446, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "inst_level_loose_acc,none": 0.842925659472422, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.02039274924471299, "exact_match_stderr,none": 0.003847017757728751, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.05537459283387622, "exact_match_stderr,none": 0.01307447837002421 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.007575757575757576, "exact_match_stderr,none": 0.007575757575757577 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.01948051948051948, "exact_match_stderr,none": 0.011173331005571083 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.031088082901554404, "exact_match_stderr,none": 0.012525310625527019 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43326130319148937, "acc_stderr,none": 0.004517680579088188 }, "leaderboard_musr": { "acc_norm,none": 0.41005291005291006, "acc_norm_stderr,none": 0.017490273970870246, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.27734375, "acc_norm_stderr,none": 0.02803528549328419 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. 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If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. 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ncoop57/personas-translation-f4d93fec-2af0-4abc-8419-29c0b5450e1f

ncoop57

--- tags: - fastdata - synthetic --- # personas-translation-f4d93fec-2af0-4abc-8419-29c0b5450e1f _Note: This is an AI-generated dataset, so its content may be inaccurate or false._ **Source of the data:** The dataset was generated using [Fastdata](https://github.com/AnswerDotAI/fastdata) library and claude-3-haiku-20240307 with the following input: ## System Prompt ``` You will help generate synthetic data of English and Spanish phrases. ``` ## Prompt Template ``` <examples> {examples} </examples> Create an English and Spanish translation pair that is similar to the examples and would be appropriate for the following persona: <persona>{persona}</persona> ``` ## Sample Input ```json [{'persona': "A Political Analyst specialized in El Salvador's political landscape.", 'examples': [Hello, my name is Nathan. I am a research scientist at an AI startup. ➡ *Hola, me llamo Nathan. Soy ciencia investigador en un startup de IA.*, How much wood could a woodchuck chuck if a woodchuck could chuck wood? ➡ *¿Cuánta madera podría arrojar una marmota si una marmota pudiera arrojar madera?*, Thomas Cranmer (2 July 1489 - 21 March 1556) was a leader of the English Reformation and Archbishop of Canterbury during the reigns of Henry VIII, Edward VI and, for a short time, Mary I. He helped build the case for the annulment of Henry's marriage to Catherine of Aragon, which was one of the causes of the separation of the English Church from union with the Holy See. ➡ *Thomas Cranmer (2 de julio de 1489 - 21 de marzo de 1556) fue un líder de la Reforma inglesa y arzobispo de Canterbury durante los reinados de Henry VIII, Edward VI y, por un corto tiempo, María I. Ayudó a construir el caso para la anulación de El matrimonio de Henry con Catalina de Aragón, que fue una de las causas de la separación de la Iglesia inglesa de la unión con la Santa Sede.*]}, {'persona': 'A legal advisor who understands the legal implications of incomplete or inaccurate project documentation', 'examples': [Hello, my name is Nathan. I am a research scientist at an AI startup. ➡ *Hola, me llamo Nathan. Soy ciencia investigador en un startup de IA.*, How much wood could a woodchuck chuck if a woodchuck could chuck wood? ➡ *¿Cuánta madera podría arrojar una marmota si una marmota pudiera arrojar madera?*, Thomas Cranmer (2 July 1489 - 21 March 1556) was a leader of the English Reformation and Archbishop of Canterbury during the reigns of Henry VIII, Edward VI and, for a short time, Mary I. He helped build the case for the annulment of Henry's marriage to Catherine of Aragon, which was one of the causes of the separation of the English Church from union with the Holy See. ➡ *Thomas Cranmer (2 de julio de 1489 - 21 de marzo de 1556) fue un líder de la Reforma inglesa y arzobispo de Canterbury durante los reinados de Henry VIII, Edward VI y, por un corto tiempo, María I. Ayudó a construir el caso para la anulación de El matrimonio de Henry con Catalina de Aragón, que fue una de las causas de la separación de la Iglesia inglesa de la unión con la Santa Sede.*]}] ```

theazer69/padilha2

theazer69

--- license: openrail ---

neoneye/simon-arc-solve-rotate-v11

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve rotate version 11 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the image gets rotated cw/ccw/180 and transposed. The image sizes are between 1 and 4 pixels. Predict the number of rows in the output image. # Version 2 image size: 1-5. # Version 3 image size: 1-5. Added `flipx` and `flipy` transformations. # Version 4 image size: 1-5. number of tests: 1-2. Previously there were always just 1 test. Added `flipa` and `flipb` transformations, that flips over the diagonal. # Version 5 image size: 1-5. number of tests: 1-2. # Version 6 image size: 1-13. # Version 7 Earlier predictions added to some of the rows. # Version 8 Earlier predictions with focus on repair 1 bad pixel. # Version 9 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 10 Replaced RLE compressed response with raw pixel response. # Version 11 image size: 1-16.

nace-ai/test-subtask-guardrails-v9-1-irrelevant-v1

nace-ai

--- dataset_info: features: - name: file dtype: string - name: instruction dtype: string - name: data_seed dtype: string - name: answer dtype: string - name: llm_label dtype: string - name: input dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: full dtype: string - name: reasoning dtype: string - name: __index_level_0__ dtype: float64 - name: mode dtype: string - name: multi_policy dtype: string splits: - name: train num_bytes: 513233165 num_examples: 32719 - name: validation num_bytes: 30005447 num_examples: 1924 - name: test num_bytes: 59512463 num_examples: 3850 download_size: 282372908 dataset_size: 602751075 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

juliadollis/ner_stf_fuzzy

juliadollis

--- dataset_info: features: - name: inteiro_teor dtype: string - name: url_download dtype: string - name: dataDecisao dtype: timestamp[ns] - name: dataPublicacao dtype: timestamp[ns] - name: decisao dtype: string - name: descricaoClasse dtype: string - name: ementa dtype: string - name: id dtype: string - name: jurisprudenciaCitada dtype: string - name: ministroRelator dtype: string - name: nomeOrgaoJulgador dtype: string - name: numeroProcesso dtype: string - name: referenciasLegislativas sequence: string - name: siglaClasse dtype: string - name: tipoDeDecisao dtype: string - name: titulo dtype: string - name: acordaosSimilares sequence: string - name: partes_lista_texto dtype: string - name: temaProcs sequence: string - name: ner_results struct: - name: JURISPRUDENCIA sequence: string - name: LEGISLACAO sequence: string - name: LOCAL sequence: string - name: ORGANIZACAO sequence: string - name: PESSOA sequence: string - name: TEMPO sequence: string - name: desambiguacao list: - name: class dtype: string - name: count dtype: int64 - name: elements sequence: string - name: entity dtype: string splits: - name: train num_bytes: 6654843253 num_examples: 78477 download_size: 1425175145 dataset_size: 6654843253 configs: - config_name: default data_files: - split: train path: data/train-* ---

IntelligentEstate/The_Key

IntelligentEstate

--- license: cc-by-nc-4.0 language: - en --- ** The Key is a Unique Spacial awareness dataset with problemsolving in diverse scenarios with an infered reflection in the form of a Haiku --This is experimental-- --- ** For Comercial Use please get in touch with intelligentestate@gmail.com for all else Enjoy and please respond with results. ---

neoneye/simon-arc-solve-translate-v12

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve translate version 12 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the image gets translated by plus/minus 1 pixel in up/down/left/right directions. The image sizes are between 1 and 4 pixels. # Version 2 Only translate plus/minus 1 up/down are enabled. image width: 1-4, image height: 3-4. My hypothesis is that it's easy with RLE data to translate up/down. # Version 3 Only translate plus/minus 1 left/right are enabled. image width: 3-4, image height: 1-4. # Version 4 All transformations have same weight. image size: 3-4. # Version 5 Added diagonal translation by 1 pixel. All transformations have same weight. image size: 3-4. # Version 6 All transformations have same weight. image size: 3-5. # Version 7 All transformations have same weight. image size: 3-5. number of test pairs: 1-2. Previous it was alway 1 test pair. # Version 8 All transformations have same weight. image size: 3-5. number of test pairs: 1-2. Added: Predict the number of rows in the output image. # Version 9 Increased the translation distance from -1..+1, to -2..+2. image size 1-8. # Version 10 Increased the translation distance from -2..+2, to -3..+3. image size 1-12. # Version 11 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 12 Replaced RLE compressed response with raw pixel response. image size 1-5. max translation 1.

neoneye/simon-arc-solve-rotate-v12

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve rotate version 12 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the image gets rotated cw/ccw/180 and transposed. The image sizes are between 1 and 4 pixels. Predict the number of rows in the output image. # Version 2 image size: 1-5. # Version 3 image size: 1-5. Added `flipx` and `flipy` transformations. # Version 4 image size: 1-5. number of tests: 1-2. Previously there were always just 1 test. Added `flipa` and `flipb` transformations, that flips over the diagonal. # Version 5 image size: 1-5. number of tests: 1-2. # Version 6 image size: 1-13. # Version 7 Earlier predictions added to some of the rows. # Version 8 Earlier predictions with focus on repair 1 bad pixel. # Version 9 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 10 Replaced RLE compressed response with raw pixel response. # Version 11 image size: 1-16. # Version 12 I think the image sizes was too big for the model to make sense of the data. Trying with smaller images. image size: 1-5.

Tippawan/Finetune-mt-story-telling-221124-messages

Tippawan

--- dataset_info: features: - name: en dtype: string - name: th dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 719000 num_examples: 5629 - name: test num_bytes: 145238 num_examples: 1126 - name: validation num_bytes: 145163 num_examples: 1126 download_size: 577598 dataset_size: 1009401 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

neoneye/simon-arc-solve-scale-v9

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve scale version 9 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the images gets scaled up/down in both x and y direction. example count: 2-4. test count: 1-2. image size: 3-10. scale factor: 1-3. # Version 2 image size: 1-20. scale factor: 1-7. # Version 3 image size: 1-30. scale factor: 1-7. # Version 4 Added a few noise to the images. image size: 1-10. scale factor: 1-7. Only scale down. Number of noise pixels per pixel cell: 0-2. # Version 5 More noisy images for down scaling. image size: 1-12. Number of noise pixels per pixel cell: 0-half. # Version 6 Earlier predictions added to some of the rows. # Version 7 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 8 Replaced RLE compressed response with raw pixel response. image size: 1-5. scale factor: 1-7. # Version 9 image size: 1-7. scale factor: 1-3.

neoneye/simon-arc-solve-skew-v5

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve skew version 5 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the job is to apply skew/unkew in the directions up/down/left/right. example count: 2-4. test count: 1-2. image size: 1-4. # Version 2 image size: 1-7. # Version 3 Earlier predictions added to some of the rows. # Version 4 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 5 Replaced RLE compressed response with raw pixel response.

adipanda/anime-characters-2M

adipanda

--- dataset_info: features: - name: filename dtype: string - name: tags dtype: string - name: bangumi_name dtype: string - name: has_face dtype: bool - name: face_count dtype: int64 - name: face_x0 dtype: float64 - name: face_y0 dtype: float64 - name: face_x1 dtype: float64 - name: face_y1 dtype: float64 - name: face_width dtype: float64 - name: face_height dtype: float64 - name: face_max dtype: float64 - name: face_min dtype: float64 - name: face_area dtype: float64 - name: face_max_ratio dtype: float64 - name: face_min_ratio dtype: float64 - name: face_width_ratio dtype: float64 - name: face_height_ratio dtype: float64 - name: face_area_ratio dtype: float64 - name: image_url dtype: string splits: - name: train num_bytes: 748632926 num_examples: 1968055 download_size: 267677923 dataset_size: 748632926 configs: - config_name: default data_files: - split: train path: data/train-* ---

TSOWatch/1001NightsBesiegedCity

TSOWatch

--- license: creativeml-openrail-m ---

TSOWatch/1001NightsSeaSnake

TSOWatch

--- license: creativeml-openrail-m ---

TSOWatch/1001NightsTreasureWisdom

TSOWatch

--- license: creativeml-openrail-m ---

TSOWatch/1001NightsFirstThief

TSOWatch

--- license: creativeml-openrail-m ---

TSOWatch/1001NightsSecondThief

TSOWatch

--- license: creativeml-openrail-m ---

TSOWatch/1001NightsThirdThief

TSOWatch

--- license: creativeml-openrail-m ---

open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-details

open-llm-leaderboard

--- pretty_name: Evaluation run of allenai/Llama-3.1-Tulu-3-8B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [allenai/Llama-3.1-Tulu-3-8B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-details\"\ ,\n\tname=\"allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-22T00-31-08.901515](https://huggingface.co/datasets/open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-details/blob/main/allenai__Llama-3.1-Tulu-3-8B/results_2024-11-22T00-31-08.901515.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"acc_norm,none\": 0.38785834738617203,\n \"acc_norm_stderr,none\"\ : 0.005273329157943381,\n \"inst_level_loose_acc,none\": 0.8752997601918465,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ : 0.8585131894484412,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"exact_match,none\": 0.19637462235649547,\n \"exact_match_stderr,none\"\ : 0.009854609082277298,\n \"acc,none\": 0.2826628989361702,\n \ \ \"acc_stderr,none\": 0.0041053027261143855,\n \"prompt_level_strict_acc,none\"\ : 0.7948243992606284,\n \"prompt_level_strict_acc_stderr,none\": 0.01737807119675965,\n\ \ \"prompt_level_loose_acc,none\": 0.8151571164510166,\n \"\ prompt_level_loose_acc_stderr,none\": 0.01670417955850395,\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.4025342822426662,\n \"acc_norm_stderr,none\": 0.006072426154807149,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.8,\n \"acc_norm_stderr,none\": 0.02534897002097912\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.5187165775401069,\n\ \ \"acc_norm_stderr,none\": 0.03663608375537843\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.288,\n \"acc_norm_stderr,none\":\ \ 0.028697004587398253\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ \ \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.472,\n\ \ \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \ \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\":\ \ 0.029752391824475363\n },\n \"leaderboard_bbh_hyperbaton\": {\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ : 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n },\n\ \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.256,\n \"acc_norm_stderr,none\": 0.027657108718204846\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.688,\n \"acc_norm_stderr,none\": 0.029361067575219852\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\"\ : \" - leaderboard_bbh_object_counting\",\n \"acc_norm,none\": 0.288,\n\ \ \"acc_norm_stderr,none\": 0.028697004587398253\n },\n \ \ \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ ,\n \"acc_norm,none\": 0.3904109589041096,\n \"acc_norm_stderr,none\"\ : 0.040513109165891854\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\":\ \ 0.031563285061213475\n },\n \"leaderboard_bbh_ruin_names\": {\n\ \ \"alias\": \" - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\"\ : 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n },\n\ \ \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.5224719101123596,\n\ \ \"acc_norm_stderr,none\": 0.03754432508487191\n },\n \ \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ ,\n \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\":\ \ 0.0316851985511992\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \ \ \"acc_norm,none\": 0.116,\n \"acc_norm_stderr,none\": 0.020293429803083823\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\":\ \ 0.021723342617052086\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.144,\n \"acc_norm_stderr,none\":\ \ 0.022249407735450245\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\":\ \ 0.02881432040220563\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.2986577181208054,\n\ \ \"acc_norm_stderr,none\": 0.013264655332365493,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.30303030303030304,\n \"acc_norm_stderr,none\": 0.03274287914026869\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.28205128205128205,\n\ \ \"acc_norm_stderr,none\": 0.019275803929950375\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3169642857142857,\n \"acc_norm_stderr,none\"\ : 0.0220076215848248\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7948243992606284,\n \"prompt_level_strict_acc_stderr,none\": 0.01737807119675965,\n\ \ \"inst_level_strict_acc,none\": 0.8585131894484412,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.8151571164510166,\n \"prompt_level_loose_acc_stderr,none\": 0.01670417955850395,\n\ \ \"inst_level_loose_acc,none\": 0.8752997601918465,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.19637462235649547,\n \"exact_match_stderr,none\"\ : 0.009854609082277298,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.3811074918566775,\n\ \ \"exact_match_stderr,none\": 0.02776327166045321\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \" \ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.06060606060606061,\n\ \ \"exact_match_stderr,none\": 0.020847129156682045\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.03214285714285714,\n \"exact_match_stderr,none\": 0.01055955866175321\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.12987012987012986,\n\ \ \"exact_match_stderr,none\": 0.02717696535667076\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.46113989637305697,\n \"exact_match_stderr,none\"\ : 0.03597524411734576\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.022222222222222223,\n \"exact_match_stderr,none\"\ : 0.01273389971505968\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.2826628989361702,\n\ \ \"acc_stderr,none\": 0.004105302726114385\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4166666666666667,\n \"acc_norm_stderr,none\"\ : 0.01768575862518651,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.528,\n\ \ \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.31640625,\n \"acc_norm_stderr,none\"\ : 0.02912403057115479\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.408,\n \"acc_norm_stderr,none\": 0.031145209846548512\n\ \ }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.38785834738617203,\n\ \ \"acc_norm_stderr,none\": 0.005273329157943381,\n \"inst_level_loose_acc,none\"\ : 0.8752997601918465,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_strict_acc,none\": 0.8585131894484412,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"exact_match,none\": 0.19637462235649547,\n \"exact_match_stderr,none\"\ : 0.009854609082277298,\n \"acc,none\": 0.2826628989361702,\n \"acc_stderr,none\"\ : 0.0041053027261143855,\n \"prompt_level_strict_acc,none\": 0.7948243992606284,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.01737807119675965,\n \ \ \"prompt_level_loose_acc,none\": 0.8151571164510166,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.01670417955850395,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.4025342822426662,\n \"acc_norm_stderr,none\"\ : 0.006072426154807149,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.8,\n \"acc_norm_stderr,none\": 0.02534897002097912\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.5187165775401069,\n \"acc_norm_stderr,none\"\ : 0.03663608375537843\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.288,\n \"acc_norm_stderr,none\": 0.028697004587398253\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.256,\n \"acc_norm_stderr,none\": 0.027657108718204846\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.688,\n \"acc_norm_stderr,none\": 0.029361067575219852\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.288,\n \"acc_norm_stderr,none\": 0.028697004587398253\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.3904109589041096,\n\ \ \"acc_norm_stderr,none\": 0.040513109165891854\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.5224719101123596,\n \"acc_norm_stderr,none\"\ : 0.03754432508487191\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.496,\n \"acc_norm_stderr,none\": 0.0316851985511992\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\ acc_norm,none\": 0.116,\n \"acc_norm_stderr,none\": 0.020293429803083823\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.144,\n \"acc_norm_stderr,none\": 0.022249407735450245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\": 0.02881432040220563\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.2986577181208054,\n\ \ \"acc_norm_stderr,none\": 0.013264655332365493,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.30303030303030304,\n\ \ \"acc_norm_stderr,none\": 0.03274287914026869\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.28205128205128205,\n \"acc_norm_stderr,none\": 0.019275803929950375\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3169642857142857,\n \"acc_norm_stderr,none\"\ : 0.0220076215848248\n },\n \"leaderboard_ifeval\": {\n \"alias\":\ \ \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7948243992606284,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.01737807119675965,\n \ \ \"inst_level_strict_acc,none\": 0.8585131894484412,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.8151571164510166,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01670417955850395,\n \"inst_level_loose_acc,none\"\ : 0.8752997601918465,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.19637462235649547,\n\ \ \"exact_match_stderr,none\": 0.009854609082277298,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.3811074918566775,\n \"exact_match_stderr,none\": 0.02776327166045321\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.06060606060606061,\n \"exact_match_stderr,none\"\ : 0.020847129156682045\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.03214285714285714,\n \"exact_match_stderr,none\"\ : 0.01055955866175321\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.12987012987012986,\n \"exact_match_stderr,none\": 0.02717696535667076\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.46113989637305697,\n \"exact_match_stderr,none\"\ : 0.03597524411734576\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.022222222222222223,\n \"exact_match_stderr,none\": 0.01273389971505968\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.2826628989361702,\n \"acc_stderr,none\": 0.004105302726114385\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4166666666666667,\n\ \ \"acc_norm_stderr,none\": 0.01768575862518651,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.31640625,\n \"acc_norm_stderr,none\": 0.02912403057115479\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.408,\n \"acc_norm_stderr,none\": 0.031145209846548512\n\ \ }\n}\n```" repo_url: https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B leaderboard_url: '' point_of_contact: '' configs: - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_date_understanding data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_navigate data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_navigate_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_object_counting data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_ruin_names data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_snarks data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_snarks_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_gpqa_diamond data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_gpqa_extended data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_gpqa_extended_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_gpqa_main data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_gpqa_main_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_ifeval data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_ifeval_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_algebra_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_geometry_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_num_theory_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_math_precalculus_hard data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_mmlu_pro data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_mmlu_pro_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_musr_object_placements data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_musr_object_placements_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-22T00-31-08.901515.jsonl' - config_name: allenai__Llama-3.1-Tulu-3-8B__leaderboard_musr_team_allocation data_files: - split: 2024_11_22T00_31_08.901515 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-22T00-31-08.901515.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-22T00-31-08.901515.jsonl' --- # Dataset Card for Evaluation run of allenai/Llama-3.1-Tulu-3-8B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [allenai/Llama-3.1-Tulu-3-8B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-details", name="allenai__Llama-3.1-Tulu-3-8B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-22T00-31-08.901515](https://huggingface.co/datasets/open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-details/blob/main/allenai__Llama-3.1-Tulu-3-8B/results_2024-11-22T00-31-08.901515.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "acc_norm,none": 0.38785834738617203, "acc_norm_stderr,none": 0.005273329157943381, "inst_level_loose_acc,none": 0.8752997601918465, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8585131894484412, "inst_level_strict_acc_stderr,none": "N/A", "exact_match,none": 0.19637462235649547, "exact_match_stderr,none": 0.009854609082277298, "acc,none": 0.2826628989361702, "acc_stderr,none": 0.0041053027261143855, "prompt_level_strict_acc,none": 0.7948243992606284, "prompt_level_strict_acc_stderr,none": 0.01737807119675965, "prompt_level_loose_acc,none": 0.8151571164510166, "prompt_level_loose_acc_stderr,none": 0.01670417955850395, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4025342822426662, "acc_norm_stderr,none": 0.006072426154807149, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.8, "acc_norm_stderr,none": 0.02534897002097912 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.5187165775401069, "acc_norm_stderr,none": 0.03663608375537843 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.288, "acc_norm_stderr,none": 0.028697004587398253 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.472, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.256, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.688, "acc_norm_stderr,none": 0.029361067575219852 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.288, "acc_norm_stderr,none": 0.028697004587398253 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.3904109589041096, "acc_norm_stderr,none": 0.040513109165891854 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.5224719101123596, "acc_norm_stderr,none": 0.03754432508487191 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.116, "acc_norm_stderr,none": 0.020293429803083823 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.136, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.144, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.292, "acc_norm_stderr,none": 0.02881432040220563 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.2986577181208054, "acc_norm_stderr,none": 0.013264655332365493, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.30303030303030304, "acc_norm_stderr,none": 0.03274287914026869 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.28205128205128205, "acc_norm_stderr,none": 0.019275803929950375 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3169642857142857, "acc_norm_stderr,none": 0.0220076215848248 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7948243992606284, "prompt_level_strict_acc_stderr,none": 0.01737807119675965, "inst_level_strict_acc,none": 0.8585131894484412, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.8151571164510166, "prompt_level_loose_acc_stderr,none": 0.01670417955850395, "inst_level_loose_acc,none": 0.8752997601918465, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.19637462235649547, "exact_match_stderr,none": 0.009854609082277298, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3811074918566775, "exact_match_stderr,none": 0.02776327166045321 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.06060606060606061, "exact_match_stderr,none": 0.020847129156682045 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.01055955866175321 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.12987012987012986, "exact_match_stderr,none": 0.02717696535667076 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.46113989637305697, "exact_match_stderr,none": 0.03597524411734576 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.022222222222222223, "exact_match_stderr,none": 0.01273389971505968 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.2826628989361702, "acc_stderr,none": 0.004105302726114385 }, "leaderboard_musr": { "acc_norm,none": 0.4166666666666667, "acc_norm_stderr,none": 0.01768575862518651, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.31640625, "acc_norm_stderr,none": 0.02912403057115479 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.408, "acc_norm_stderr,none": 0.031145209846548512 } }, "leaderboard": { "acc_norm,none": 0.38785834738617203, "acc_norm_stderr,none": 0.005273329157943381, "inst_level_loose_acc,none": 0.8752997601918465, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8585131894484412, "inst_level_strict_acc_stderr,none": "N/A", "exact_match,none": 0.19637462235649547, "exact_match_stderr,none": 0.009854609082277298, "acc,none": 0.2826628989361702, "acc_stderr,none": 0.0041053027261143855, "prompt_level_strict_acc,none": 0.7948243992606284, "prompt_level_strict_acc_stderr,none": 0.01737807119675965, "prompt_level_loose_acc,none": 0.8151571164510166, "prompt_level_loose_acc_stderr,none": 0.01670417955850395, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4025342822426662, "acc_norm_stderr,none": 0.006072426154807149, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.8, "acc_norm_stderr,none": 0.02534897002097912 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.5187165775401069, "acc_norm_stderr,none": 0.03663608375537843 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.288, "acc_norm_stderr,none": 0.028697004587398253 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.472, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.256, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.688, "acc_norm_stderr,none": 0.029361067575219852 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.288, "acc_norm_stderr,none": 0.028697004587398253 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.3904109589041096, "acc_norm_stderr,none": 0.040513109165891854 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.5224719101123596, "acc_norm_stderr,none": 0.03754432508487191 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.116, "acc_norm_stderr,none": 0.020293429803083823 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.136, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.144, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.292, "acc_norm_stderr,none": 0.02881432040220563 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.2986577181208054, "acc_norm_stderr,none": 0.013264655332365493, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.30303030303030304, "acc_norm_stderr,none": 0.03274287914026869 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.28205128205128205, "acc_norm_stderr,none": 0.019275803929950375 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3169642857142857, "acc_norm_stderr,none": 0.0220076215848248 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7948243992606284, "prompt_level_strict_acc_stderr,none": 0.01737807119675965, "inst_level_strict_acc,none": 0.8585131894484412, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.8151571164510166, "prompt_level_loose_acc_stderr,none": 0.01670417955850395, "inst_level_loose_acc,none": 0.8752997601918465, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.19637462235649547, "exact_match_stderr,none": 0.009854609082277298, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3811074918566775, "exact_match_stderr,none": 0.02776327166045321 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.06060606060606061, "exact_match_stderr,none": 0.020847129156682045 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.01055955866175321 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.12987012987012986, "exact_match_stderr,none": 0.02717696535667076 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.46113989637305697, "exact_match_stderr,none": 0.03597524411734576 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.022222222222222223, "exact_match_stderr,none": 0.01273389971505968 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.2826628989361702, "acc_stderr,none": 0.004105302726114385 }, "leaderboard_musr": { "acc_norm,none": 0.4166666666666667, "acc_norm_stderr,none": 0.01768575862518651, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.31640625, "acc_norm_stderr,none": 0.02912403057115479 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.408, "acc_norm_stderr,none": 0.031145209846548512 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - 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open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix-details

open-llm-leaderboard

--- pretty_name: Evaluation run of ZeroXClem/Qwen2.5-7B-HomerCreative-Mix dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ZeroXClem/Qwen2.5-7B-HomerCreative-Mix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix-details\"\ ,\n\tname=\"ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-22T00-32-11.693490](https://huggingface.co/datasets/open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix-details/blob/main/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix/results_2024-11-22T00-32-11.693490.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"acc,none\": 0.4447307180851064,\n \"acc_stderr,none\"\ : 0.004530535363926051,\n \"inst_level_loose_acc,none\": 0.8285371702637889,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ : 0.8165467625899281,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"exact_match,none\": 0.32326283987915405,\n \"exact_match_stderr,none\"\ : 0.011761711608666757,\n \"prompt_level_loose_acc,none\": 0.7634011090573013,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.018288827582625598,\n \ \ \"acc_norm,none\": 0.5014917628745622,\n \"acc_norm_stderr,none\"\ : 0.005340969872084893,\n \"prompt_level_strict_acc,none\": 0.7504621072088724,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018622404509805804,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\":\ \ {\n \"acc_norm,none\": 0.5521610831452872,\n \"acc_norm_stderr,none\"\ : 0.006179016832046109,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.86,\n\ \ \"acc_norm_stderr,none\": 0.021989409645240245\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.5668449197860963,\n \"acc_norm_stderr,none\"\ : 0.03633267411102591\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.632,\n\ \ \"acc_norm_stderr,none\": 0.03056207062099311\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\":\ \ 0.030993197854577898\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.556,\n \ \ \"acc_norm_stderr,none\": 0.03148684942554571\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\":\ \ 0.031636489531544396\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\":\ \ 0.03162125257572558\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.784,\n \"acc_norm_stderr,none\":\ \ 0.02607865766373279\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.7,\n \ \ \"acc_norm_stderr,none\": 0.029040893477575786\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.5958904109589042,\n \"acc_norm_stderr,none\": 0.0407519857003932\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.58,\n \ \ \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\":\ \ 0.031603975145223735\n },\n \"leaderboard_bbh_snarks\": {\n \ \ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\ : 0.6966292134831461,\n \"acc_norm_stderr,none\": 0.03455421944400101\n\ \ },\n \"leaderboard_bbh_sports_understanding\": {\n \"\ alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n },\n\ \ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.548,\n\ \ \"acc_norm_stderr,none\": 0.03153986449255664\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\":\ \ 0.023692813205492536\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.548,\n\ \ \"acc_norm_stderr,none\": 0.03153986449255664\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.29949664429530204,\n\ \ \"acc_norm_stderr,none\": 0.013278959534799928,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.2878787878787879,\n \"acc_norm_stderr,none\": 0.03225883512300998\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.29120879120879123,\n\ \ \"acc_norm_stderr,none\": 0.019460910297288078\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.31473214285714285,\n \"acc_norm_stderr,none\"\ : 0.021965797142222607\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7504621072088724,\n \"prompt_level_strict_acc_stderr,none\": 0.018622404509805804,\n\ \ \"inst_level_strict_acc,none\": 0.8165467625899281,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7634011090573013,\n \"prompt_level_loose_acc_stderr,none\": 0.018288827582625598,\n\ \ \"inst_level_loose_acc,none\": 0.8285371702637889,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.32326283987915405,\n \"exact_match_stderr,none\"\ : 0.011761711608666757,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.6091205211726385,\n\ \ \"exact_match_stderr,none\": 0.027894098976471507\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.2032520325203252,\n \"exact_match_stderr,none\": 0.03643325851749072\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.20454545454545456,\n\ \ \"exact_match_stderr,none\": 0.03524251981380333\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.1392857142857143,\n \"exact_match_stderr,none\": 0.02072911170255923\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.3051948051948052,\n\ \ \"exact_match_stderr,none\": 0.0372284008596668\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.46113989637305697,\n \"exact_match_stderr,none\"\ : 0.03597524411734576\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.1037037037037037,\n \"exact_match_stderr,none\"\ : 0.02633725661744443\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.4447307180851064,\n\ \ \"acc_stderr,none\": 0.004530535363926052\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.43386243386243384,\n \"acc_norm_stderr,none\"\ : 0.01762618265060195,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.56,\n\ \ \"acc_norm_stderr,none\": 0.03145724452223569\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.296875,\n \"acc_norm_stderr,none\"\ : 0.028610997088737832\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ }\n },\n \"leaderboard\": {\n \"acc,none\": 0.4447307180851064,\n\ \ \"acc_stderr,none\": 0.004530535363926051,\n \"inst_level_loose_acc,none\"\ : 0.8285371702637889,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_strict_acc,none\": 0.8165467625899281,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"exact_match,none\": 0.32326283987915405,\n \"exact_match_stderr,none\"\ : 0.011761711608666757,\n \"prompt_level_loose_acc,none\": 0.7634011090573013,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.018288827582625598,\n \ \ \"acc_norm,none\": 0.5014917628745622,\n \"acc_norm_stderr,none\": 0.005340969872084893,\n\ \ \"prompt_level_strict_acc,none\": 0.7504621072088724,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018622404509805804,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.5521610831452872,\n \"acc_norm_stderr,none\"\ : 0.006179016832046109,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.86,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.5668449197860963,\n \"acc_norm_stderr,none\"\ : 0.03633267411102591\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.03162125257572558\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373279\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575786\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.5958904109589042,\n\ \ \"acc_norm_stderr,none\": 0.0407519857003932\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6966292134831461,\n \"acc_norm_stderr,none\"\ : 0.03455421944400101\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255664\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255664\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.29949664429530204,\n\ \ \"acc_norm_stderr,none\": 0.013278959534799928,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.2878787878787879,\n\ \ \"acc_norm_stderr,none\": 0.03225883512300998\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.29120879120879123,\n \"acc_norm_stderr,none\": 0.019460910297288078\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.31473214285714285,\n \"acc_norm_stderr,none\"\ : 0.021965797142222607\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7504621072088724,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018622404509805804,\n \ \ \"inst_level_strict_acc,none\": 0.8165467625899281,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7634011090573013,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.018288827582625598,\n \"inst_level_loose_acc,none\"\ : 0.8285371702637889,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.32326283987915405,\n\ \ \"exact_match_stderr,none\": 0.011761711608666757,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.6091205211726385,\n \"exact_match_stderr,none\": 0.027894098976471507\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.2032520325203252,\n \"exact_match_stderr,none\": 0.03643325851749072\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.20454545454545456,\n \"exact_match_stderr,none\"\ : 0.03524251981380333\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.1392857142857143,\n \"exact_match_stderr,none\"\ : 0.02072911170255923\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.3051948051948052,\n \"exact_match_stderr,none\": 0.0372284008596668\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.46113989637305697,\n \"exact_match_stderr,none\"\ : 0.03597524411734576\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.1037037037037037,\n \"exact_match_stderr,none\": 0.02633725661744443\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.4447307180851064,\n \"acc_stderr,none\": 0.004530535363926052\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.43386243386243384,\n\ \ \"acc_norm_stderr,none\": 0.01762618265060195,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"alias\": \" - leaderboard_musr_object_placements\",\n \"\ acc_norm,none\": 0.296875,\n \"acc_norm_stderr,none\": 0.028610997088737832\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ }\n}\n```" repo_url: https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix leaderboard_url: '' point_of_contact: '' configs: - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_date_understanding data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_navigate data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_navigate_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_object_counting data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_ruin_names data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_snarks data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_snarks_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_gpqa_diamond data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_gpqa_extended data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_gpqa_extended_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_gpqa_main data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_gpqa_main_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_ifeval data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_ifeval_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_algebra_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_geometry_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_num_theory_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_math_precalculus_hard data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_mmlu_pro data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_mmlu_pro_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_musr_object_placements data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_musr_object_placements_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-22T00-32-11.693490.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_musr_team_allocation data_files: - split: 2024_11_22T00_32_11.693490 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-22T00-32-11.693490.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-22T00-32-11.693490.jsonl' --- # Dataset Card for Evaluation run of ZeroXClem/Qwen2.5-7B-HomerCreative-Mix <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [ZeroXClem/Qwen2.5-7B-HomerCreative-Mix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix-details", name="ZeroXClem__Qwen2.5-7B-HomerCreative-Mix__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-22T00-32-11.693490](https://huggingface.co/datasets/open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix-details/blob/main/ZeroXClem__Qwen2.5-7B-HomerCreative-Mix/results_2024-11-22T00-32-11.693490.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "acc,none": 0.4447307180851064, "acc_stderr,none": 0.004530535363926051, "inst_level_loose_acc,none": 0.8285371702637889, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8165467625899281, "inst_level_strict_acc_stderr,none": "N/A", "exact_match,none": 0.32326283987915405, "exact_match_stderr,none": 0.011761711608666757, "prompt_level_loose_acc,none": 0.7634011090573013, "prompt_level_loose_acc_stderr,none": 0.018288827582625598, "acc_norm,none": 0.5014917628745622, "acc_norm_stderr,none": 0.005340969872084893, "prompt_level_strict_acc,none": 0.7504621072088724, "prompt_level_strict_acc_stderr,none": 0.018622404509805804, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5521610831452872, "acc_norm_stderr,none": 0.006179016832046109, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.86, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.5668449197860963, "acc_norm_stderr,none": 0.03633267411102591 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572558 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373279 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5958904109589042, "acc_norm_stderr,none": 0.0407519857003932 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.03063032594455827 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6966292134831461, "acc_norm_stderr,none": 0.03455421944400101 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.74, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.548, "acc_norm_stderr,none": 0.03153986449255664 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.168, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.548, "acc_norm_stderr,none": 0.03153986449255664 }, "leaderboard_gpqa": { "acc_norm,none": 0.29949664429530204, "acc_norm_stderr,none": 0.013278959534799928, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.2878787878787879, "acc_norm_stderr,none": 0.03225883512300998 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.29120879120879123, "acc_norm_stderr,none": 0.019460910297288078 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.31473214285714285, "acc_norm_stderr,none": 0.021965797142222607 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7504621072088724, "prompt_level_strict_acc_stderr,none": 0.018622404509805804, "inst_level_strict_acc,none": 0.8165467625899281, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7634011090573013, "prompt_level_loose_acc_stderr,none": 0.018288827582625598, "inst_level_loose_acc,none": 0.8285371702637889, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.32326283987915405, "exact_match_stderr,none": 0.011761711608666757, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.6091205211726385, "exact_match_stderr,none": 0.027894098976471507 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.2032520325203252, "exact_match_stderr,none": 0.03643325851749072 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.20454545454545456, "exact_match_stderr,none": 0.03524251981380333 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.1392857142857143, "exact_match_stderr,none": 0.02072911170255923 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3051948051948052, "exact_match_stderr,none": 0.0372284008596668 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.46113989637305697, "exact_match_stderr,none": 0.03597524411734576 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.1037037037037037, "exact_match_stderr,none": 0.02633725661744443 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.4447307180851064, "acc_stderr,none": 0.004530535363926052 }, "leaderboard_musr": { "acc_norm,none": 0.43386243386243384, "acc_norm_stderr,none": 0.01762618265060195, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.296875, "acc_norm_stderr,none": 0.028610997088737832 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 } }, "leaderboard": { "acc,none": 0.4447307180851064, "acc_stderr,none": 0.004530535363926051, "inst_level_loose_acc,none": 0.8285371702637889, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8165467625899281, "inst_level_strict_acc_stderr,none": "N/A", "exact_match,none": 0.32326283987915405, "exact_match_stderr,none": 0.011761711608666757, "prompt_level_loose_acc,none": 0.7634011090573013, "prompt_level_loose_acc_stderr,none": 0.018288827582625598, "acc_norm,none": 0.5014917628745622, "acc_norm_stderr,none": 0.005340969872084893, "prompt_level_strict_acc,none": 0.7504621072088724, "prompt_level_strict_acc_stderr,none": 0.018622404509805804, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5521610831452872, "acc_norm_stderr,none": 0.006179016832046109, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.86, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.5668449197860963, "acc_norm_stderr,none": 0.03633267411102591 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572558 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373279 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.5958904109589042, "acc_norm_stderr,none": 0.0407519857003932 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.03063032594455827 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6966292134831461, "acc_norm_stderr,none": 0.03455421944400101 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.74, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.548, "acc_norm_stderr,none": 0.03153986449255664 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.168, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.548, "acc_norm_stderr,none": 0.03153986449255664 }, "leaderboard_gpqa": { "acc_norm,none": 0.29949664429530204, "acc_norm_stderr,none": 0.013278959534799928, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.2878787878787879, "acc_norm_stderr,none": 0.03225883512300998 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.29120879120879123, "acc_norm_stderr,none": 0.019460910297288078 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.31473214285714285, "acc_norm_stderr,none": 0.021965797142222607 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7504621072088724, "prompt_level_strict_acc_stderr,none": 0.018622404509805804, "inst_level_strict_acc,none": 0.8165467625899281, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7634011090573013, "prompt_level_loose_acc_stderr,none": 0.018288827582625598, "inst_level_loose_acc,none": 0.8285371702637889, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.32326283987915405, "exact_match_stderr,none": 0.011761711608666757, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.6091205211726385, "exact_match_stderr,none": 0.027894098976471507 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.2032520325203252, "exact_match_stderr,none": 0.03643325851749072 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.20454545454545456, "exact_match_stderr,none": 0.03524251981380333 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.1392857142857143, "exact_match_stderr,none": 0.02072911170255923 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3051948051948052, "exact_match_stderr,none": 0.0372284008596668 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.46113989637305697, "exact_match_stderr,none": 0.03597524411734576 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.1037037037037037, "exact_match_stderr,none": 0.02633725661744443 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.4447307180851064, "acc_stderr,none": 0.004530535363926052 }, "leaderboard_musr": { "acc_norm,none": 0.43386243386243384, "acc_norm_stderr,none": 0.01762618265060195, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.296875, "acc_norm_stderr,none": 0.028610997088737832 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - 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open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix-details

open-llm-leaderboard

--- pretty_name: Evaluation run of ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix-details\"\ ,\n\tname=\"ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-22T00-34-20.371295](https://huggingface.co/datasets/open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix-details/blob/main/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix/results_2024-11-22T00-34-20.371295.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"prompt_level_loose_acc,none\": 0.7578558225508318,\n \"\ prompt_level_loose_acc_stderr,none\": 0.018434587800223168,\n \"acc,none\"\ : 0.4431515957446808,\n \"acc_stderr,none\": 0.00452891098809217,\n \ \ \"acc_norm,none\": 0.5046050071345181,\n \"acc_norm_stderr,none\"\ : 0.005356894928628325,\n \"inst_level_strict_acc,none\": 0.802158273381295,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.7393715341959335,\n \"prompt_level_strict_acc_stderr,none\": 0.018890584986760186,\n\ \ \"exact_match,none\": 0.29531722054380666,\n \"exact_match_stderr,none\"\ : 0.011453860732395094,\n \"inst_level_loose_acc,none\": 0.8201438848920863,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.551640340218712,\n \"acc_norm_stderr,none\": 0.006182534734432989,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.852,\n \"acc_norm_stderr,none\": 0.022503547243806186\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.5614973262032086,\n\ \ \"acc_norm_stderr,none\": 0.03638341809400991\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\":\ \ 0.03139181076542941\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ \ \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.6,\n\ \ \"acc_norm_stderr,none\": 0.031046021028253316\n },\n \ \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.552,\n \ \ \"acc_norm_stderr,none\": 0.03151438761115348\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.524,\n \"acc_norm_stderr,none\":\ \ 0.03164968895968774\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.484,\n \"acc_norm_stderr,none\":\ \ 0.03166998503010743\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.644,\n \"acc_norm_stderr,none\": 0.0303436806571532\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575786\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\"\ : \" - leaderboard_bbh_object_counting\",\n \"acc_norm,none\": 0.364,\n\ \ \"acc_norm_stderr,none\": 0.030491555220405475\n },\n \ \ \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ ,\n \"acc_norm,none\": 0.589041095890411,\n \"acc_norm_stderr,none\"\ : 0.04085902451640228\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_ruin_names\": {\n\ \ \"alias\": \" - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n\ \ \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.6966292134831461,\n\ \ \"acc_norm_stderr,none\": 0.03455421944400101\n },\n \ \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\":\ \ 0.02806876238252672\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \ \ \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.204,\n \"acc_norm_stderr,none\":\ \ 0.025537121574548162\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\":\ \ 0.027367497504863593\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3196308724832215,\n\ \ \"acc_norm_stderr,none\": 0.013522572199065146,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3181818181818182,\n \"acc_norm_stderr,none\": 0.0331847733384533\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3131868131868132,\n\ \ \"acc_norm_stderr,none\": 0.01986656558013767\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.328125,\n \"acc_norm_stderr,none\"\ : 0.0222080353262888\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7393715341959335,\n \"prompt_level_strict_acc_stderr,none\": 0.018890584986760186,\n\ \ \"inst_level_strict_acc,none\": 0.802158273381295,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_loose_acc_stderr,none\": 0.018434587800223168,\n\ \ \"inst_level_loose_acc,none\": 0.8201438848920863,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.29531722054380666,\n \"exact_match_stderr,none\"\ : 0.011453860732395094,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.5635179153094463,\n\ \ \"exact_match_stderr,none\": 0.028351520946552713\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.17073170731707318,\n \"exact_match_stderr,none\": 0.034066279591320504\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.1590909090909091,\n\ \ \"exact_match_stderr,none\": 0.03195667292673137\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.11785714285714285,\n \"exact_match_stderr,none\": 0.019303911310421605\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.23376623376623376,\n\ \ \"exact_match_stderr,none\": 0.034215730598256215\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.47668393782383417,\n \"exact_match_stderr,none\"\ : 0.03604513672442202\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.1111111111111111,\n \"exact_match_stderr,none\"\ : 0.027148765412512273\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.4431515957446808,\n\ \ \"acc_stderr,none\": 0.00452891098809217\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.43783068783068785,\n \"acc_norm_stderr,none\"\ : 0.017595964155130817,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.556,\n\ \ \"acc_norm_stderr,none\": 0.03148684942554571\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.28515625,\n \"acc_norm_stderr,none\"\ : 0.028273327213286358\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_loose_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_loose_acc_stderr,none\": 0.018434587800223168,\n\ \ \"acc,none\": 0.4431515957446808,\n \"acc_stderr,none\": 0.00452891098809217,\n\ \ \"acc_norm,none\": 0.5046050071345181,\n \"acc_norm_stderr,none\"\ : 0.005356894928628325,\n \"inst_level_strict_acc,none\": 0.802158273381295,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.7393715341959335,\n \"prompt_level_strict_acc_stderr,none\": 0.018890584986760186,\n\ \ \"exact_match,none\": 0.29531722054380666,\n \"exact_match_stderr,none\"\ : 0.011453860732395094,\n \"inst_level_loose_acc,none\": 0.8201438848920863,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.551640340218712,\n\ \ \"acc_norm_stderr,none\": 0.006182534734432989,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.852,\n \"acc_norm_stderr,none\": 0.022503547243806186\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.5614973262032086,\n \"acc_norm_stderr,none\"\ : 0.03638341809400991\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010743\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"\ acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575786\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.589041095890411,\n\ \ \"acc_norm_stderr,none\": 0.04085902451640228\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6966292134831461,\n \"acc_norm_stderr,none\"\ : 0.03455421944400101\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.204,\n \"acc_norm_stderr,none\": 0.025537121574548162\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3196308724832215,\n\ \ \"acc_norm_stderr,none\": 0.013522572199065146,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3181818181818182,\n\ \ \"acc_norm_stderr,none\": 0.0331847733384533\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3131868131868132,\n \"acc_norm_stderr,none\": 0.01986656558013767\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.328125,\n \"acc_norm_stderr,none\": 0.0222080353262888\n\ \ },\n \"leaderboard_ifeval\": {\n \"alias\": \" - leaderboard_ifeval\"\ ,\n \"prompt_level_strict_acc,none\": 0.7393715341959335,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018890584986760186,\n \"inst_level_strict_acc,none\": 0.802158273381295,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_loose_acc_stderr,none\": 0.018434587800223168,\n\ \ \"inst_level_loose_acc,none\": 0.8201438848920863,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.29531722054380666,\n \"exact_match_stderr,none\": 0.011453860732395094,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.5635179153094463,\n \"exact_match_stderr,none\": 0.028351520946552713\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.17073170731707318,\n \"exact_match_stderr,none\": 0.034066279591320504\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.1590909090909091,\n \"exact_match_stderr,none\"\ : 0.03195667292673137\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.11785714285714285,\n \"exact_match_stderr,none\"\ : 0.019303911310421605\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.23376623376623376,\n \"exact_match_stderr,none\": 0.034215730598256215\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.47668393782383417,\n \"exact_match_stderr,none\"\ : 0.03604513672442202\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.1111111111111111,\n \"exact_match_stderr,none\": 0.027148765412512273\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.4431515957446808,\n \"acc_stderr,none\": 0.00452891098809217\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.43783068783068785,\n\ \ \"acc_norm_stderr,none\": 0.017595964155130817,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.28515625,\n \"acc_norm_stderr,none\": 0.028273327213286358\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ }\n}\n```" repo_url: https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix leaderboard_url: '' point_of_contact: '' configs: - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_date_understanding data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_navigate data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_navigate_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_object_counting data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_ruin_names data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_snarks data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_snarks_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_gpqa_diamond data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_gpqa_extended data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_gpqa_extended_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_gpqa_main data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_gpqa_main_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_ifeval data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_ifeval_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_algebra_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_geometry_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_num_theory_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_math_precalculus_hard data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_mmlu_pro data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_mmlu_pro_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_musr_object_placements data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_musr_object_placements_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-22T00-34-20.371295.jsonl' - config_name: ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_musr_team_allocation data_files: - split: 2024_11_22T00_34_20.371295 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-22T00-34-20.371295.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-22T00-34-20.371295.jsonl' --- # Dataset Card for Evaluation run of ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix-details", name="ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-22T00-34-20.371295](https://huggingface.co/datasets/open-llm-leaderboard/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix-details/blob/main/ZeroXClem__Qwen2.5-7B-HomerAnvita-NerdMix/results_2024-11-22T00-34-20.371295.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "prompt_level_loose_acc,none": 0.7578558225508318, "prompt_level_loose_acc_stderr,none": 0.018434587800223168, "acc,none": 0.4431515957446808, "acc_stderr,none": 0.00452891098809217, "acc_norm,none": 0.5046050071345181, "acc_norm_stderr,none": 0.005356894928628325, "inst_level_strict_acc,none": 0.802158273381295, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7393715341959335, "prompt_level_strict_acc_stderr,none": 0.018890584986760186, "exact_match,none": 0.29531722054380666, "exact_match_stderr,none": 0.011453860732395094, "inst_level_loose_acc,none": 0.8201438848920863, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.551640340218712, "acc_norm_stderr,none": 0.006182534734432989, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.5614973262032086, "acc_norm_stderr,none": 0.03638341809400991 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.524, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.484, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.644, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.589041095890411, "acc_norm_stderr,none": 0.04085902451640228 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6966292134831461, "acc_norm_stderr,none": 0.03455421944400101 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.204, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.16, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.248, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_gpqa": { "acc_norm,none": 0.3196308724832215, "acc_norm_stderr,none": 0.013522572199065146, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3181818181818182, "acc_norm_stderr,none": 0.0331847733384533 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3131868131868132, "acc_norm_stderr,none": 0.01986656558013767 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.328125, "acc_norm_stderr,none": 0.0222080353262888 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7393715341959335, "prompt_level_strict_acc_stderr,none": 0.018890584986760186, "inst_level_strict_acc,none": 0.802158273381295, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7578558225508318, "prompt_level_loose_acc_stderr,none": 0.018434587800223168, "inst_level_loose_acc,none": 0.8201438848920863, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.29531722054380666, "exact_match_stderr,none": 0.011453860732395094, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.5635179153094463, "exact_match_stderr,none": 0.028351520946552713 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.17073170731707318, "exact_match_stderr,none": 0.034066279591320504 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.1590909090909091, "exact_match_stderr,none": 0.03195667292673137 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.11785714285714285, "exact_match_stderr,none": 0.019303911310421605 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.23376623376623376, "exact_match_stderr,none": 0.034215730598256215 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.47668393782383417, "exact_match_stderr,none": 0.03604513672442202 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.1111111111111111, "exact_match_stderr,none": 0.027148765412512273 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.4431515957446808, "acc_stderr,none": 0.00452891098809217 }, "leaderboard_musr": { "acc_norm,none": 0.43783068783068785, "acc_norm_stderr,none": 0.017595964155130817, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.28515625, "acc_norm_stderr,none": 0.028273327213286358 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 } }, "leaderboard": { "prompt_level_loose_acc,none": 0.7578558225508318, "prompt_level_loose_acc_stderr,none": 0.018434587800223168, "acc,none": 0.4431515957446808, "acc_stderr,none": 0.00452891098809217, "acc_norm,none": 0.5046050071345181, "acc_norm_stderr,none": 0.005356894928628325, "inst_level_strict_acc,none": 0.802158273381295, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7393715341959335, "prompt_level_strict_acc_stderr,none": 0.018890584986760186, "exact_match,none": 0.29531722054380666, "exact_match_stderr,none": 0.011453860732395094, "inst_level_loose_acc,none": 0.8201438848920863, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.551640340218712, "acc_norm_stderr,none": 0.006182534734432989, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.852, "acc_norm_stderr,none": 0.022503547243806186 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.5614973262032086, "acc_norm_stderr,none": 0.03638341809400991 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.524, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.484, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.644, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.589041095890411, "acc_norm_stderr,none": 0.04085902451640228 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6966292134831461, "acc_norm_stderr,none": 0.03455421944400101 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.204, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.16, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.248, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_gpqa": { "acc_norm,none": 0.3196308724832215, "acc_norm_stderr,none": 0.013522572199065146, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3181818181818182, "acc_norm_stderr,none": 0.0331847733384533 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3131868131868132, "acc_norm_stderr,none": 0.01986656558013767 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.328125, "acc_norm_stderr,none": 0.0222080353262888 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7393715341959335, "prompt_level_strict_acc_stderr,none": 0.018890584986760186, "inst_level_strict_acc,none": 0.802158273381295, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7578558225508318, "prompt_level_loose_acc_stderr,none": 0.018434587800223168, "inst_level_loose_acc,none": 0.8201438848920863, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.29531722054380666, "exact_match_stderr,none": 0.011453860732395094, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.5635179153094463, "exact_match_stderr,none": 0.028351520946552713 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.17073170731707318, "exact_match_stderr,none": 0.034066279591320504 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.1590909090909091, "exact_match_stderr,none": 0.03195667292673137 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.11785714285714285, "exact_match_stderr,none": 0.019303911310421605 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.23376623376623376, "exact_match_stderr,none": 0.034215730598256215 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.47668393782383417, "exact_match_stderr,none": 0.03604513672442202 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.1111111111111111, "exact_match_stderr,none": 0.027148765412512273 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.4431515957446808, "acc_stderr,none": 0.00452891098809217 }, "leaderboard_musr": { "acc_norm,none": 0.43783068783068785, "acc_norm_stderr,none": 0.017595964155130817, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.28515625, "acc_norm_stderr,none": 0.028273327213286358 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - 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neoneye/simon-arc-solve-color-v17

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve color version 17 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the colors gets manipulated. Currently it's two-color images, where the transformation is to swap colors. The image sizes are between 1 and 5 pixels. Predict the number of rows in the output image. # Version 2 Number of test: 1-2. Previously it was always 1 test. # Version 3 input image size: 1-3. Number of tests: 1. Identify most popular color, and least popular color. The output size is always 1x1. # Version 4 input image size: 1-4. Number of tests: 1. Identify most popular color, and least popular color. The output size is always 1x1. # Version 5 input image size: 1-5. Number of tests: 1-2. Identify most popular color, and least popular color. The output size is always 1x1. # Version 6 input image size: 1-5. Number of tests: 1-2. Identify most popular color, and least popular color. Multiple output sizes: output size is 1x1, and same output size as input size. Swap colors. # Version 7 Focus on `generate_task_replace_color`. image size: 3-6. padding size: 1-5. # Version 8 Focus on `generate_task_replace_color`. image size: 3-8. padding size: 1-10. # Version 9 Focus on `generate_task_replace_color`. image size: 3-10. padding size: 1-20. # Version 10 Enabled all the task generators. # Version 11 Focus on `generate_task_replace_color_pairs_with_different_palettes`. image size: 3-5. padding size: 1-4. # Version 12 Focus on `generate_task_replace_color_pairs_with_different_palettes`. image size: 3-8. padding size: 1-10. # Version 13 Focus on `generate_task_replace_color_pairs_with_different_palettes`. image size: 3-10. padding size: 1-20. # Version 14 Extended `generate_task_replace_color_pairs_with_different_palettes` with 2 new palette modes. Enabled all transformations. # Version 15 Earlier predictions added to some of the rows. # Version 16 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 17 Replaced RLE compressed response with raw pixel response. image size: 1-7.

neoneye/simon-arc-solve-skew-v6

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve skew version 6 size_categories: - 1K<n<10K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the job is to apply skew/unkew in the directions up/down/left/right. example count: 2-4. test count: 1-2. image size: 1-4. # Version 2 image size: 1-7. # Version 3 Earlier predictions added to some of the rows. # Version 4 Added fields: `arc_task`, `test_index`, `earlier_output`. # Version 5 Replaced RLE compressed response with raw pixel response. # Version 6 image size: 1-9.

magnifi/parser_user_v27h

magnifi

--- dataset_info: features: - name: Query_id dtype: int64 - name: Query dtype: string - name: Elastic_search dtype: string - name: virtual_portfolios dtype: string - name: Parser_output dtype: string splits: - name: train num_bytes: 344199 num_examples: 1524 - name: validation num_bytes: 24775 num_examples: 128 download_size: 137440 dataset_size: 368974 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

ZixuanKe/fingpt_convfinqa_sup_sample_from_policy_v1.1_dpo_val_chunk_18

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 147908 num_examples: 24 download_size: 19032 dataset_size: 147908 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/fingpt_convfinqa_sup_sample_from_policy_v1.1_dpo_val_chunk_23

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 167913 num_examples: 33 download_size: 26156 dataset_size: 167913 configs: - config_name: default data_files: - split: train path: data/train-* ---

mhdang/image_unseen-fewshot_sc_ours_withjpg_num500

mhdang

--- dataset_info: features: - name: jpg_model_train dtype: binary - name: jpg_model_base dtype: binary - name: user_id dtype: int64 - name: text dtype: string - name: emb sequence: sequence: float64 - name: preferred_image_uid_0 dtype: string - name: dispreferred_image_uid_0 dtype: string - name: caption_0 dtype: string - name: preferred_image_uid_1 dtype: string - name: dispreferred_image_uid_1 dtype: string - name: caption_1 dtype: string - name: preferred_image_uid_2 dtype: string - name: dispreferred_image_uid_2 dtype: string - name: caption_2 dtype: string - name: preferred_image_uid_3 dtype: string - name: dispreferred_image_uid_3 dtype: string - name: caption_3 dtype: string - name: class dtype: int64 - name: __index_level_0__ dtype: int64 - name: user_description dtype: string - name: caption dtype: string - name: preferred_image_uid_0_jpg dtype: binary - name: preferred_image_uid_1_jpg dtype: binary - name: preferred_image_uid_2_jpg dtype: binary - name: preferred_image_uid_3_jpg dtype: binary - name: dispreferred_image_uid_0_jpg dtype: binary - name: dispreferred_image_uid_1_jpg dtype: binary - name: dispreferred_image_uid_2_jpg dtype: binary - name: dispreferred_image_uid_3_jpg dtype: binary splits: - name: test num_bytes: 1537893962 num_examples: 500 download_size: 1079067223 dataset_size: 1537893962 configs: - config_name: default data_files: - split: test path: data/test-* ---

ZixuanKe/fingpt_convfinqa_sup_sample_from_policy_v1.1_dpo_val_chunk_28

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 216320 num_examples: 33 download_size: 37707 dataset_size: 216320 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/fingpt_convfinqa_sup_sample_from_policy_v1.1_dpo_val_chunk_13

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 195300 num_examples: 35 download_size: 28241 dataset_size: 195300 configs: - config_name: default data_files: - split: train path: data/train-* ---

mhdang/image_seen_sc_ours_withjpg_num500

mhdang

--- dataset_info: features: - name: jpg_model_train dtype: binary - name: jpg_model_base dtype: binary - name: user_id dtype: int64 - name: text dtype: string - name: emb sequence: sequence: float64 - name: preferred_image_uid_0 dtype: string - name: dispreferred_image_uid_0 dtype: string - name: caption_0 dtype: string - name: preferred_image_uid_1 dtype: string - name: dispreferred_image_uid_1 dtype: string - name: caption_1 dtype: string - name: preferred_image_uid_2 dtype: string - name: dispreferred_image_uid_2 dtype: string - name: caption_2 dtype: string - name: preferred_image_uid_3 dtype: string - name: dispreferred_image_uid_3 dtype: string - name: caption_3 dtype: string - name: class dtype: int64 - name: __index_level_0__ dtype: int64 - name: user_description dtype: string - name: caption dtype: string - name: preferred_image_uid_0_jpg dtype: binary - name: preferred_image_uid_1_jpg dtype: binary - name: preferred_image_uid_2_jpg dtype: binary - name: preferred_image_uid_3_jpg dtype: binary - name: dispreferred_image_uid_0_jpg dtype: binary - name: dispreferred_image_uid_1_jpg dtype: binary - name: dispreferred_image_uid_2_jpg dtype: binary - name: dispreferred_image_uid_3_jpg dtype: binary splits: - name: test num_bytes: 1468520892 num_examples: 500 download_size: 1143544216 dataset_size: 1468520892 configs: - config_name: default data_files: - split: test path: data/test-* ---

ifrah1/your_dataset_name

ifrah1

--- dataset_info: features: - name: English dtype: string - name: Urdu dtype: string splits: - name: train num_bytes: 33059917 num_examples: 107317 download_size: 16879027 dataset_size: 33059917 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/fingpt_convfinqa_sup_sample_from_policy_v1.1_dpo_val_chunk_32

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 285573 num_examples: 50 download_size: 24937 dataset_size: 285573 configs: - config_name: default data_files: - split: train path: data/train-* ---

procit007/treated_0.5

procit007

--- dataset_info: features: - name: gender dtype: string - name: accent dtype: string - name: speaker_id dtype: int64 - name: speaker_name dtype: string - name: text dtype: string - name: normalized_text dtype: string - name: audio dtype: audio - name: treated dtype: bool - name: metrics struct: - name: clipping_ratio dtype: float64 - name: duration dtype: float64 - name: is_valid dtype: bool - name: rms_energy dtype: float64 - name: sample_rate dtype: int64 - name: silence_ratio dtype: float64 - name: snr dtype: float64 splits: - name: train num_bytes: 3188358457.0 num_examples: 10000 download_size: 2987430472 dataset_size: 3188358457.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Asap7772/processed_image_unseen-fewshot_sc_ours_withjpg_num500

Asap7772

--- dataset_info: features: - name: user_id dtype: int64 - name: caption sequence: string - name: split dtype: string - name: shot_id dtype: int64 - name: preferred_image sequence: binary - name: dispreferred_image sequence: binary - name: preferred_image_uid sequence: string - name: dispreferred_image_uid sequence: string splits: - name: test num_bytes: 1119635843 num_examples: 500 download_size: 1100260023 dataset_size: 1119635843 configs: - config_name: default data_files: - split: test path: data/test-* ---

joycewu/common_voice_16_1_zh_TW_pseudo_labelled_concat2

joycewu

--- dataset_info: config_name: zh-TW features: - name: path dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: sentence dtype: string - name: condition_on_prev sequence: int64 - name: whisper_transcript dtype: string splits: - name: train num_bytes: 746186952.0 num_examples: 857 - name: validation num_bytes: 538995300.0 num_examples: 617 - name: test num_bytes: 594574487.0 num_examples: 684 download_size: 1682750460 dataset_size: 1879756739.0 configs: - config_name: zh-TW data_files: - split: train path: zh-TW/train-* - split: validation path: zh-TW/validation-* - split: test path: zh-TW/test-* ---