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ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_64_0.01_64_BestF1_pl

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: 157591 num_examples: 101 - name: test num_bytes: 1105280 num_examples: 654 download_size: 273569 dataset_size: 1262871 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_16_64_0.01_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 314142 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_64_0.05_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 313532 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_16_16_0.05_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 313929 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

Carlosgg14/Yuta

Carlosgg14

--- license: openrail ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_32_0.01_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 314229 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_64_0.05_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 314194 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_32_0.05_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 316033 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_16_0.01_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 314842 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_32_0.01_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 313240 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_16_0.05_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 314776 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_16_32_0.01_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 313629 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_64_16_0.01_64_BestF1_gr

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: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 317783 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_16_16_0.05_64_BestF1_en

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: id dtype: string - name: offsets sequence: int64 - name: role dtype: string - name: semantic_type_id dtype: string - name: text dtype: string - name: type dtype: string - name: original_text dtype: string - name: original_id 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: 418249 num_examples: 106 - name: test num_bytes: 2472788 num_examples: 666 download_size: 292646 dataset_size: 2891037 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

marco-schouten/exp1

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 116903.0 num_examples: 28 download_size: 56123 dataset_size: 116903.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp2

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 532978.0 num_examples: 111 download_size: 282927 dataset_size: 532978.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp3

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 321937.0 num_examples: 64 download_size: 178481 dataset_size: 321937.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp4

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 658792.0 num_examples: 172 download_size: 237697 dataset_size: 658792.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp5

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 1279936.0 num_examples: 291 download_size: 583043 dataset_size: 1279936.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp6

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 765821.0 num_examples: 224 download_size: 241138 dataset_size: 765821.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp7

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 3291157.0 num_examples: 888 download_size: 1280848 dataset_size: 3291157.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp8

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 1994325.0 num_examples: 512 download_size: 804259 dataset_size: 1994325.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp9

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 4025641.728 num_examples: 1376 download_size: 913827 dataset_size: 4025641.728 configs: - config_name: default data_files: - split: train path: data/train-* ---

marco-schouten/exp10

marco-schouten

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 8311728.384 num_examples: 2328 download_size: 2712417 dataset_size: 8311728.384 configs: - config_name: default data_files: - split: train path: data/train-* ---

Caua261/datasetTcc

Caua261

--- license: other license_name: test license_link: LICENSE ---

all-oj-gen/ds_chat_reflct_rmsprop_iter2_sppo_hard_new_all_oj_iter2-bin_all_pairs

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: rejected_traceback dtype: string - name: test dtype: string splits: - name: train num_bytes: 32328416 num_examples: 10785 download_size: 9136605 dataset_size: 32328416 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_chat_reflct_rmsprop_iter2_sppo_hard_new_all_oj_iter2-bin_all_pairs" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

richmondsin/truthfulqa_it_mc2_results

richmondsin

--- pretty_name: Evaluation run of google/gemma-2-2b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b)\nThe dataset is\ \ composed of 0 configuration(s), each one corresponding to one of the evaluated\ \ task.\n\nThe dataset has been created from 2 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\n\ from datasets import load_dataset\ndata = load_dataset(\n\t\"richmondsin/truthfulqa_it_mc2_results\"\ ,\n\tname=\"google__gemma-2-2b__truthfulqa_it_mc2\",\n\tsplit=\"latest\"\n)\n```\n\ \n## Latest results\n\nThese are the [latest results from run 2024-12-02T16-10-20.246364](https://huggingface.co/datasets/richmondsin/truthfulqa_it_mc2_results/blob/main/google/gemma-2-2b/results_2024-12-02T16-10-20.246364.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 \"truthfulqa_it_mc2\"\ : {\n \"alias\": \"truthfulqa_it_mc2\",\n \"acc,none\": 0.4362238821542554,\n\ \ \"acc_stderr,none\": 0.01598467768604646\n }\n },\n \"\ truthfulqa_it_mc2\": {\n \"alias\": \"truthfulqa_it_mc2\",\n \"acc,none\"\ : 0.4362238821542554,\n \"acc_stderr,none\": 0.01598467768604646\n }\n\ }\n```" repo_url: https://huggingface.co/google/gemma-2-2b leaderboard_url: '' point_of_contact: '' configs: - config_name: google__gemma-2-2b__truthfulqa_it_mc2 data_files: - split: 2024_12_02T16_10_20.246364 path: - '**/samples_truthfulqa_it_mc2_2024-12-02T16-10-20.246364.jsonl' - split: latest path: - '**/samples_truthfulqa_it_mc2_2024-12-02T16-10-20.246364.jsonl' --- # Dataset Card for Evaluation run of google/gemma-2-2b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) The dataset is composed of 0 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 2 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( "richmondsin/truthfulqa_it_mc2_results", name="google__gemma-2-2b__truthfulqa_it_mc2", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-02T16-10-20.246364](https://huggingface.co/datasets/richmondsin/truthfulqa_it_mc2_results/blob/main/google/gemma-2-2b/results_2024-12-02T16-10-20.246364.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": { "truthfulqa_it_mc2": { "alias": "truthfulqa_it_mc2", "acc,none": 0.4362238821542554, "acc_stderr,none": 0.01598467768604646 } }, "truthfulqa_it_mc2": { "alias": "truthfulqa_it_mc2", "acc,none": 0.4362238821542554, "acc_stderr,none": 0.01598467768604646 } } ``` ## 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]

lingvenvist/animacy-zh-nogroups-xtr-synthetic-filtered

lingvenvist

--- dataset_info: features: - name: sentences dtype: string - name: tokens sequence: string - name: anim_tags sequence: class_label: names: '0': N '1': A '2': H - name: target-indexes sequence: int64 - name: source dtype: string splits: - name: train num_bytes: 7744341 num_examples: 22923 - name: test num_bytes: 1534376 num_examples: 4577 - name: validation num_bytes: 1036151 num_examples: 3072 download_size: 5067570 dataset_size: 10314868 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

mathreward/data_collection_8b_math_1

mathreward

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: my_solu dtype: string splits: - name: train num_bytes: 2281260230 num_examples: 562500 download_size: 859608808 dataset_size: 2281260230 configs: - config_name: default data_files: - split: train path: data/train-* ---

mathreward/data_collection_8b_math_4

mathreward

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: my_solu dtype: string splits: - name: train num_bytes: 3715831133 num_examples: 705000 download_size: 1513598540 dataset_size: 3715831133 configs: - config_name: default data_files: - split: train path: data/train-* ---

mathreward/data_collection_8b_math_3

mathreward

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: my_solu dtype: string splits: - name: train num_bytes: 4018723852 num_examples: 757500 download_size: 1633212244 dataset_size: 4018723852 configs: - config_name: default data_files: - split: train path: data/train-* ---

taufiqsyed/salami_cleaned_sampled_trial_trunc_enriched

taufiqsyed

--- dataset_info: features: - name: audio dtype: audio - name: song_id dtype: string - name: structure dtype: string - name: start_time dtype: float64 - name: end_time dtype: float64 - name: tempos dtype: string - name: keys dtype: string - name: instruments dtype: string - name: genres dtype: string - name: moods dtype: string - name: metadata dtype: string splits: - name: train num_bytes: 529245167.0 num_examples: 200 - name: eval num_bytes: 84679315.0 num_examples: 32 download_size: 598466538 dataset_size: 613924482.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* ---

richmondsin/truthfulqa_id_mc1_results

richmondsin

--- pretty_name: Evaluation run of google/gemma-2-2b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b)\nThe dataset is\ \ composed of 0 configuration(s), each one corresponding to one of the evaluated\ \ task.\n\nThe dataset has been created from 2 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\n\ from datasets import load_dataset\ndata = load_dataset(\n\t\"richmondsin/truthfulqa_id_mc1_results\"\ ,\n\tname=\"google__gemma-2-2b__truthfulqa_id_mc1\",\n\tsplit=\"latest\"\n)\n```\n\ \n## Latest results\n\nThese are the [latest results from run 2024-12-02T17-32-01.349991](https://huggingface.co/datasets/richmondsin/truthfulqa_id_mc1_results/blob/main/google/gemma-2-2b/results_2024-12-02T17-32-01.349991.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 \"truthfulqa_id_mc1\"\ : {\n \"alias\": \"truthfulqa_id_mc1\",\n \"acc,none\": 0.2953890489913545,\n\ \ \"acc_stderr,none\": 0.017330267741201465,\n \"acc_norm,none\"\ : 0.29971181556195964,\n \"acc_norm_stderr,none\": 0.01740298373741313\n\ \ }\n },\n \"truthfulqa_id_mc1\": {\n \"alias\": \"truthfulqa_id_mc1\"\ ,\n \"acc,none\": 0.2953890489913545,\n \"acc_stderr,none\": 0.017330267741201465,\n\ \ \"acc_norm,none\": 0.29971181556195964,\n \"acc_norm_stderr,none\"\ : 0.01740298373741313\n }\n}\n```" repo_url: https://huggingface.co/google/gemma-2-2b leaderboard_url: '' point_of_contact: '' configs: - config_name: google__gemma-2-2b__truthfulqa_id_mc1 data_files: - split: 2024_12_02T17_32_01.349991 path: - '**/samples_truthfulqa_id_mc1_2024-12-02T17-32-01.349991.jsonl' - split: latest path: - '**/samples_truthfulqa_id_mc1_2024-12-02T17-32-01.349991.jsonl' --- # Dataset Card for Evaluation run of google/gemma-2-2b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) The dataset is composed of 0 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 2 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( "richmondsin/truthfulqa_id_mc1_results", name="google__gemma-2-2b__truthfulqa_id_mc1", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-02T17-32-01.349991](https://huggingface.co/datasets/richmondsin/truthfulqa_id_mc1_results/blob/main/google/gemma-2-2b/results_2024-12-02T17-32-01.349991.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": { "truthfulqa_id_mc1": { "alias": "truthfulqa_id_mc1", "acc,none": 0.2953890489913545, "acc_stderr,none": 0.017330267741201465, "acc_norm,none": 0.29971181556195964, "acc_norm_stderr,none": 0.01740298373741313 } }, "truthfulqa_id_mc1": { "alias": "truthfulqa_id_mc1", "acc,none": 0.2953890489913545, "acc_stderr,none": 0.017330267741201465, "acc_norm,none": 0.29971181556195964, "acc_norm_stderr,none": 0.01740298373741313 } } ``` ## 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]

pclucas14/nqa-RAG-256_14_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 25733272 num_examples: 65 download_size: 10060126 dataset_size: 25733272 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_16_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26754022 num_examples: 65 download_size: 11080276 dataset_size: 26754022 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_15_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26439230 num_examples: 65 download_size: 10829894 dataset_size: 26439230 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_10_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 25975615 num_examples: 66 download_size: 10487988 dataset_size: 25975615 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_13_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26682014 num_examples: 65 download_size: 10384710 dataset_size: 26682014 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_19_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26696045 num_examples: 65 download_size: 10996107 dataset_size: 26696045 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_9_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26396960 num_examples: 66 download_size: 11485151 dataset_size: 26396960 configs: - config_name: default data_files: - split: train path: data/train-* ---

taufiqsyed/salami_truncsplit_legit1__enriched

taufiqsyed

--- dataset_info: features: - name: audio dtype: audio - name: song_id dtype: string - name: structure dtype: string - name: start_time dtype: float64 - name: end_time dtype: float64 - name: tempos dtype: string - name: keys dtype: string - name: instruments dtype: string - name: genres dtype: string - name: moods dtype: string - name: metadata dtype: string splits: - name: train num_bytes: 2199008170.0 num_examples: 831 - name: eval num_bytes: 84679315.0 num_examples: 32 download_size: 2235466097 dataset_size: 2283687485.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* ---

pclucas14/nqa-RAG-256_12_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26495607 num_examples: 65 download_size: 10695044 dataset_size: 26495607 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_8_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 25864745 num_examples: 66 download_size: 9692932 dataset_size: 25864745 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_3_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26650607 num_examples: 66 download_size: 10586949 dataset_size: 26650607 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_17_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 25745301 num_examples: 65 download_size: 10301059 dataset_size: 25745301 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_18_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26217561 num_examples: 65 download_size: 10286908 dataset_size: 26217561 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_6_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 27197480 num_examples: 66 download_size: 11257143 dataset_size: 27197480 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_2_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 27569614 num_examples: 66 download_size: 10931973 dataset_size: 27569614 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_0_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 27966150 num_examples: 66 download_size: 11309961 dataset_size: 27966150 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_11_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26278970 num_examples: 66 download_size: 10248590 dataset_size: 26278970 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_1_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 27289971 num_examples: 66 download_size: 10874793 dataset_size: 27289971 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_7_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26787005 num_examples: 66 download_size: 10503985 dataset_size: 26787005 configs: - config_name: default data_files: - split: train path: data/train-* ---

pclucas14/nqa-RAG-256_4_24

pclucas14

--- dataset_info: features: - name: text sequence: sequence: string - name: questions sequence: string - name: answers sequence: sequence: string - name: document_id dtype: string - name: split dtype: string splits: - name: train num_bytes: 26619269 num_examples: 66 download_size: 11036439 dataset_size: 26619269 configs: - config_name: default data_files: - split: train path: data/train-* ---

doejn771/code_x_glue_ct_code_to_text_java_python

doejn771

--- dataset_info: features: - name: id dtype: int32 - name: repo dtype: string - name: path dtype: string - name: func_name dtype: string - name: original_string dtype: string - name: language dtype: string - name: code dtype: string - name: code_tokens sequence: string - name: docstring dtype: string - name: docstring_tokens sequence: string - name: sha dtype: string - name: url dtype: string splits: - name: train num_bytes: 1266216983 num_examples: 416743 - name: validation num_bytes: 60254908 num_examples: 19097 - name: test num_bytes: 79740441 num_examples: 25873 download_size: 480195417 dataset_size: 1406212332 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

richmondsin/truthfulqa_id_mc2_results

richmondsin

--- pretty_name: Evaluation run of google/gemma-2-2b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b)\nThe dataset is\ \ composed of 0 configuration(s), each one corresponding to one of the evaluated\ \ task.\n\nThe dataset has been created from 2 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\n\ from datasets import load_dataset\ndata = load_dataset(\n\t\"richmondsin/truthfulqa_id_mc2_results\"\ ,\n\tname=\"google__gemma-2-2b__truthfulqa_id_mc2\",\n\tsplit=\"latest\"\n)\n```\n\ \n## Latest results\n\nThese are the [latest results from run 2024-12-02T19-28-03.715223](https://huggingface.co/datasets/richmondsin/truthfulqa_id_mc2_results/blob/main/google/gemma-2-2b/results_2024-12-02T19-28-03.715223.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 \"truthfulqa_id_mc2\"\ : {\n \"alias\": \"truthfulqa_id_mc2\",\n \"acc,none\": 0.4366475601155338,\n\ \ \"acc_stderr,none\": 0.016426278376888724\n }\n },\n \"\ truthfulqa_id_mc2\": {\n \"alias\": \"truthfulqa_id_mc2\",\n \"acc,none\"\ : 0.4366475601155338,\n \"acc_stderr,none\": 0.016426278376888724\n }\n\ }\n```" repo_url: https://huggingface.co/google/gemma-2-2b leaderboard_url: '' point_of_contact: '' configs: - config_name: google__gemma-2-2b__truthfulqa_id_mc2 data_files: - split: 2024_12_02T19_28_03.715223 path: - '**/samples_truthfulqa_id_mc2_2024-12-02T19-28-03.715223.jsonl' - split: latest path: - '**/samples_truthfulqa_id_mc2_2024-12-02T19-28-03.715223.jsonl' --- # Dataset Card for Evaluation run of google/gemma-2-2b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) The dataset is composed of 0 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 2 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( "richmondsin/truthfulqa_id_mc2_results", name="google__gemma-2-2b__truthfulqa_id_mc2", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-02T19-28-03.715223](https://huggingface.co/datasets/richmondsin/truthfulqa_id_mc2_results/blob/main/google/gemma-2-2b/results_2024-12-02T19-28-03.715223.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": { "truthfulqa_id_mc2": { "alias": "truthfulqa_id_mc2", "acc,none": 0.4366475601155338, "acc_stderr,none": 0.016426278376888724 } }, "truthfulqa_id_mc2": { "alias": "truthfulqa_id_mc2", "acc,none": 0.4366475601155338, "acc_stderr,none": 0.016426278376888724 } } ``` ## 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]

julia-se/tracka_mistral_fewshot_anger

julia-se

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: Anger dtype: int64 - name: Disgust dtype: int64 - name: Fear dtype: int64 - name: Joy dtype: int64 - name: Sadness dtype: int64 - name: Surprise dtype: int64 - name: predicted_is_anger dtype: int64 - name: y_anger dtype: int64 splits: - name: train num_bytes: 472807 num_examples: 2226 download_size: 217016 dataset_size: 472807 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_2_fuzzycosseno_80

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: inteiro_teor_regex dtype: string - name: NER 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: 160888933 num_examples: 1000 download_size: 44243977 dataset_size: 160888933 configs: - config_name: default data_files: - split: train path: data/train-* ---

infinite-dataset-hub/AnimalAlliesAlgorithm

infinite-dataset-hub

--- license: mit tags: - infinite-dataset-hub - synthetic --- # AnimalAlliesAlgorithm tags: vegan advocacy, efficacy prediction, animal rights _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'AnimalAlliesAlgorithm' dataset is a curated collection of textual data aimed at understanding the various dimensions of vegan advocacy. It encompasses a range of content, including advocacy campaigns, personal testimonies, scientific studies, and policy discussions related to animal rights and veganism. Each entry has been carefully labeled to reflect its primary focus within the realm of vegan advocacy, from awareness-raising to promoting policy change. **CSV Content Preview:** ``` id,text,label 001,"The Vegan Society's recent campaign highlighted the environmental benefits of a plant-based diet.",Awareness 002,"An interview with a renowned vegan chef discussing the moral imperative of veganism.",PersonalTestimony 003,"A scientific study on the impact of factory farming on local wildlife populations.",ImpactStudy 004,"A blog post from a legislator advocating for stricter animal welfare laws.",PolicyChange 005,"Vegan bloggers collaborating to share recipes and tips for a cruelty-free lifestyle.",CommunitySupport ``` **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'vegan advocacy': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=vegan+advocacy&dataset=AnimalAlliesAlgorithm&tags=vegan+advocacy,+efficacy+prediction,+animal+rights - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub

seachen/stable-1

seachen

--- license: apache-2.0 ---

r1v3r/bitflags-filterbyLLM-verified

r1v3r

--- dataset_info: features: - name: repo dtype: string - name: problem_statement dtype: string - name: hints_text dtype: string - name: instance_id dtype: string - name: issue_numbers sequence: string - name: base_commit dtype: string - name: test_patch dtype: string - name: version dtype: string - name: pull_number dtype: int64 - name: created_at dtype: string - name: patch dtype: string - name: environment_setup_commit dtype: string - name: FAIL_TO_PASS sequence: string - name: PASS_TO_PASS sequence: string - name: FAIL_TO_FAIL sequence: string - name: PASS_TO_FAIL sequence: 'null' splits: - name: train num_bytes: 164014 num_examples: 9 download_size: 58139 dataset_size: 164014 configs: - config_name: default data_files: - split: train path: data/train-* ---

ELVISIO/incorrect_triplet

ELVISIO

--- dataset_info: features: - name: doc_regexclean01 dtype: string - name: anchor dtype: string - name: positive dtype: string - name: negative dtype: string splits: - name: train num_bytes: 832690 num_examples: 558 download_size: 499310 dataset_size: 832690 configs: - config_name: default data_files: - split: train path: data/train-* ---

HappyPablo/dec3_1

HappyPablo

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "so100", "total_episodes": 1, "total_frames": 794, "total_tasks": 1, "total_videos": 0, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:1" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

vantral/selkup_me_pl

vantral

--- dataset_info: features: - name: all struct: - name: interlinear-text list: - name: item struct: - name: source dtype: string - name: paragraph list: - name: item struct: - name: speaker dtype: string - name: phrase list: - name: item struct: - name: ft dtype: string - name: id dtype: string - name: participant dtype: string - name: timestamp sequence: string - name: word list: list: - name: item struct: - name: grammar_tags sequence: string - name: translation sequence: string - name: txt dtype: string - name: morph list: - name: item struct: - name: gls dtype: string - name: id dtype: string - name: txt dtype: string - name: item dtype: 'null' splits: - name: train num_bytes: 29025 num_examples: 1 download_size: 23213 dataset_size: 29025 configs: - config_name: default data_files: - split: train path: data/train-* ---

babs/podcast-12

babs

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 206176216.0 num_examples: 339 download_size: 194924855 dataset_size: 206176216.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

shreyasgite/so100_test

shreyasgite

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100 - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "so100", "total_episodes": 2, "total_frames": 2390, "total_tasks": 1, "total_videos": 4, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:2" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

babs/podcast-16

babs

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 199714333.0 num_examples: 233 download_size: 190909606 dataset_size: 199714333.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_2_fuzzyover_70

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: inteiro_teor_regex dtype: string - name: NER 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: 157934422 num_examples: 1000 download_size: 43794395 dataset_size: 157934422 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/t5v1-1base_sst2_pair_leap

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 48613 num_examples: 637 download_size: 34535 dataset_size: 48613 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/opengpt_gpt-4o-mini_scale_x.25

mlfoundations-dev

--- dataset_info: features: - name: language dtype: string - name: quantity dtype: int64 - name: task dtype: string - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 3767638 num_examples: 1479 download_size: 1912183 dataset_size: 3767638 configs: - config_name: default data_files: - split: train path: data/train-* ---

Alwaly/parler_tts-descriptions-tags_bis_wom_test

Alwaly

--- dataset_info: features: - name: text dtype: string - name: utterance_pitch_mean dtype: float32 - name: utterance_pitch_std dtype: float32 - name: snr dtype: float64 - name: c50 dtype: float64 - name: speaking_rate dtype: string - name: phonemes dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 - name: noise dtype: string - name: reverberation dtype: string - name: speech_monotony dtype: string - name: sdr_noise dtype: string - name: pesq_speech_quality dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 770344 num_examples: 1995 download_size: 301291 dataset_size: 770344 configs: - config_name: default data_files: - split: test path: data/test-* ---

Sprutz/TrollBlend-50

Sprutz

--- language: - en tags: - Troll - Misinformation size_categories: - 100K<n<1M --- This dataset is a collection of troll tweets and non troll tweets. The troll tweets are gathered from the Russian Troll dataset and the non troll tweets are a colelction of serious tweets from political tweets and tweets from the #metoo movement. The tweets present in this dataset are very old and thus might not be a good standalone dataset to train a model on. Add more recent tweets for a model that generalizes better

mlfoundations-dev/unnatural_instructions_gpt-4o-mini_scale_x.25

mlfoundations-dev

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: constraints dtype: string - name: output dtype: string - name: alternative_formulation dtype: string - name: alternative_formulation_inlined dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 27774548 num_examples: 17504 download_size: 10360530 dataset_size: 27774548 configs: - config_name: default data_files: - split: train path: data/train-* ---

ashercn97/reasoning-v2-yay

ashercn97

--- dataset_info: features: - name: text_id dtype: string - name: text dtype: string - name: label sequence: string - name: split_text sequence: string splits: - name: train num_bytes: 4677252 num_examples: 3000 download_size: 2658627 dataset_size: 4677252 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/unnatural_instructions_gpt-4o-mini_scale_x.5

mlfoundations-dev

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: constraints dtype: string - name: output dtype: string - name: alternative_formulation dtype: string - name: alternative_formulation_inlined dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 52683197 num_examples: 33253 download_size: 19622868 dataset_size: 52683197 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/alpaca_scale_x.5

mlfoundations-dev

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: filtered_reason dtype: 'null' - name: filtered_decision dtype: bool - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 57105095 num_examples: 72773 download_size: 34690806 dataset_size: 57105095 configs: - config_name: default data_files: - split: train path: data/train-* ---

RyanYr/self-reflect_mini8Bit-t0_mistlarge-t12_om2-460k_binlabel_correction

RyanYr

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: response@0_correctness dtype: bool - name: response@2_correctness dtype: bool splits: - name: train num_bytes: 1110721389 num_examples: 247730 download_size: 409878232 dataset_size: 1110721389 configs: - config_name: default data_files: - split: train path: data/train-* ---

haydenbspence/distilabel-example

haydenbspence

--- dataset_info: features: - name: instruction dtype: string - name: completion dtype: string - name: meta struct: - name: category dtype: string - name: completion dtype: string - name: id dtype: int64 - name: input dtype: 'null' - name: motivation_app dtype: 'null' - name: prompt dtype: string - name: source dtype: string - name: subcategory dtype: string - name: generation dtype: 'null' - name: model_name dtype: 'null' - name: distilabel_metadata struct: - name: raw_input_text_generation_0 dtype: 'null' - name: raw_output_text_generation_0 dtype: 'null' splits: - name: train num_bytes: 16613 num_examples: 10 download_size: 19461 dataset_size: 16613 configs: - config_name: default data_files: - split: train path: data/train-* ---

Shifaur/sri_lanka_constitutional_law_qa

Shifaur

--- license: openrail task_categories: - question-answering language: - en tags: - legal size_categories: - 1K<n<10K --- # Sri Lankan Constitutional Law QA Dataset ## **Overview** This dataset is the **first publicly accessible question-answer dataset** focused specifically on **Sri Lankan Constitutional Law**. It was developed to facilitate research, education, and application in areas related to legal studies, constitutional understanding, and NLP (Natural Language Processing). The dataset contains **1,697 question-answer pairs**, each verified to ensure accuracy. ### **Dataset Creation Process** This dataset was created through an innovative two-step approach: 1. **AI Generation**: - The questions were generated synthetically using **GPT-4**. The generative process utilized advanced prompt engineering to extract detailed, contextually accurate questions and answers about Sri Lankan constitutional law. - The process followed principles inspired by the **Orca paper** (*Mukherjee et al., 2023: Orca: Progressive learning from complex explanation traces of GPT-4*). In this process, **complex reasoning patterns of GPT-4** were leveraged to ensure the quality and diversity of generated questions and answers. 2. **Expert Verification**: - Every entry generated by GPT-4 was **thoroughly verified by legal professionals**. This rigorous review aimed to ensure **accuracy**, **legal correctness**, and **completeness** of the information provided. ### **Content** The dataset comprises question-answer pairs regarding various aspects of the **Sri Lankan Constitution**, including, but not limited to: - The rights and duties of citizens. - Roles and responsibilities of government branches. - Legal definitions and judicial interpretations. - Amendments, legal provisions, and exceptions. ### **Significance** This dataset is the **first of its kind** in terms of public accessibility for Sri Lankan Constitutional Law, providing an important educational and research resource. It can be used in: - **Legal Research**: Assisting in training NLP models for legal understanding. - **Education**: Providing law students with resources to understand the constitution more deeply. - **AI Research**: Training, fine-tuning, or benchmarking language models for complex legal reasoning. ## **Data Format** The dataset is structured as JSON, with each entry having the following fields: - **"question"**: A string containing the legal question. - **"answer"**: A string containing the corresponding answer, verified for accuracy. ### **Example Entry** ```json { "question": "What is the short title of the Penal Code Ordinance?", "answer": "The short title of the Penal Code Ordinance is 'Penal Code'." } ``` ## **Usage Instructions** This dataset can be loaded and processed easily for NLP applications, legal text analysis, or educational purposes. Tools like the Hugging Face `datasets` library are recommended for accessing and processing the dataset. ## **Licensing** This dataset is made available under the **OpenRAIL license**. The OpenRAIL license allows for: - **Royalty-free access** to the dataset. - **Flexible downstream use and re-distribution**. - **Distribution of any derivatives** created from the dataset. For the full terms and conditions of the OpenRAIL license, please refer to [OpenRAIL License Link](https://www.licenses.ai/source-code-license). ## **Disclaimers** - **Not Legal Advice**: This dataset is intended solely for **informational and educational purposes**. It does not constitute legal advice, nor should it be treated as such. Users must consult qualified legal professionals for advice on any legal matters. - **No Liability for Use**: The creators and contributors of this dataset explicitly disclaim all warranties of accuracy, completeness, or applicability for specific use cases. While every effort has been made to ensure the accuracy and validity of the content, **no guarantees** are made regarding its fitness for use, and the creators will not be held responsible for any losses, damages, or liabilities that may arise from its use. - **No Endorsement**: The dataset and its contents do not reflect the official views of any government, legal entity, or institution. The dataset was developed independently, and **no endorsement** by any official body is implied. ## **Citation** If you use this dataset in your work, please cite it as follows: ``` @misc {shifaur_rahman_2024, author = { {Shifaur Rahman} }, title = { sri_lanka_constitutional_law_qa (Revision b4079d1) }, year = 2024, url = { https://huggingface.co/datasets/Shifaur/sri_lanka_constitutional_law_qa }, doi = { 10.57967/hf/3708 }, publisher = { Hugging Face } } @article{mukherjee2023orca, title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4}, author={Mukherjee, Subhojit and Mitra, Arindam and Jawahar, Ganesh and Agarwal, Siddhartha and Palangi, Hamid and Awadallah, Ahmed}, journal={arXiv preprint arXiv:2306.02707}, year={2023} } ``` ## **Acknowledgements** The development of this dataset involved: - The **GPT-4** model for question generation. - **Legal experts** who verified every entry for accuracy and legal validity. - The dataset was inspired by the methodology detailed in the **Orca paper** by Mukherjee et al. (2023). ## **Contact Information** For any questions or issues regarding this dataset, please reach out to the contributors through the [Hugging Face dataset page](https://huggingface.com/datasets/Shifaur/sri_lanka_constitutional_law_qa).

mlgawd/final_dpo_nemo_v8

mlgawd

--- dataset_info: features: - name: questions dtype: string - name: accepted dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 28069223 num_examples: 5877 download_size: 15919715 dataset_size: 28069223 configs: - config_name: default data_files: - split: train path: data/train-* ---

LuanaMARD/historiav01

LuanaMARD

--- license: mit ---

mlgawd/final_dpo_nemo_v10

mlgawd

--- dataset_info: features: - name: questions dtype: string - name: accepted dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 28102869 num_examples: 5877 download_size: 15924726 dataset_size: 28102869 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlgawd/final_dpo_nemo_v12

mlgawd

--- dataset_info: features: - name: questions dtype: string - name: accepted dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 28031447 num_examples: 5864 download_size: 15892999 dataset_size: 28031447 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/airoboros_stage_3_roleplay_none_response_gpt-4o-inst_gpt_4o-mini_resp

mlfoundations-dev

--- dataset_info: features: - name: min_docsearch_score dtype: float64 - name: airoboros_subset dtype: string - name: instruction dtype: string - name: embedding sequence: float64 - name: too_similar dtype: bool - name: similar_text dtype: string - name: similar_text_distance dtype: float64 splits: - name: train num_bytes: 192199 num_examples: 20 download_size: 148062 dataset_size: 192199 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettaphd/D_gen0_run2_llama2-7b_wiki_doc1000_real64_synt64

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 578372 num_examples: 1000 download_size: 361575 dataset_size: 578372 configs: - config_name: default data_files: - split: train path: data/train-* ---

CambioMoney/ami-speaker-analysis_full_run_5_validation

CambioMoney

--- dataset_info: features: - name: meeting_id dtype: string - name: audio_id dtype: string - name: text dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: microphone_id dtype: string - name: speaker_id dtype: string - name: is_complete dtype: bool - name: original_segment dtype: bool splits: - name: train num_bytes: 413360707 num_examples: 1084 download_size: 91497853 dataset_size: 413360707 configs: - config_name: default data_files: - split: train path: data/train-* ---

CambioMoney/ami-speaker-analysis_deepgram_run_train

CambioMoney

--- dataset_info: features: - name: meeting_id dtype: string - name: audio_id dtype: string - name: text dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: microphone_id dtype: string - name: speaker_id dtype: string - name: is_complete dtype: bool - name: original_segment dtype: bool - name: confidence dtype: float64 splits: - name: train num_bytes: 18406083 num_examples: 36 download_size: 3608850 dataset_size: 18406083 configs: - config_name: default data_files: - split: train path: data/train-* ---

siqi00/llama3_gsm8k_question_gsmlike_unhelpful_0.6_0.9_50_256

siqi00

--- dataset_info: features: - name: real list: - name: content dtype: string - name: role dtype: string - name: generated_0 list: - name: content dtype: string - name: role dtype: string - name: generated_1 list: - name: content dtype: string - name: role dtype: string - name: generated_2 list: - name: content dtype: string - name: role dtype: string - name: generated_3 list: - name: content dtype: string - name: role dtype: string - name: generated_4 list: - name: content dtype: string - name: role dtype: string - name: generated_5 list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 36559895 num_examples: 7473 download_size: 14555121 dataset_size: 36559895 configs: - config_name: default data_files: - split: train path: data/train-* ---

gswamy/pythia-1.4B-tldr-vllm-pair-iter-2

gswamy

--- dataset_info: features: - name: info struct: - name: id dtype: string - name: post dtype: string - name: title dtype: string - name: subreddit dtype: string - name: site dtype: string - name: article dtype: string - name: summaries list: - name: text dtype: string - name: policy dtype: string - name: note dtype: string - name: choice dtype: int32 - name: worker dtype: string - name: batch dtype: string - name: split dtype: string - name: extra struct: - name: confidence dtype: int32 - name: query_token sequence: int64 - name: query dtype: string - name: response0 dtype: string - name: response0_token sequence: int64 - name: response0_token_len dtype: int64 - name: response0_policy dtype: string - name: query_response0 dtype: string - name: query_response0_token sequence: int64 - name: query_response0_token_len dtype: int64 - name: query_response0_token_response_label sequence: int64 - name: response1 dtype: string - name: response1_token sequence: int64 - name: response1_token_len dtype: int64 - name: response1_policy dtype: string - name: query_response1 dtype: string - name: query_response1_token sequence: int64 - name: query_response1_token_len dtype: int64 - name: query_response1_token_response_label sequence: int64 - name: query_token_len dtype: int64 - name: policies dtype: string - name: iter_2_best_query_response sequence: int64 - name: iter_2_worst_query_response sequence: int64 - name: iter_2_best_mask sequence: int64 - name: iter_2_worst_mask sequence: int64 - name: iter_2_best_reward dtype: float64 - name: iter_2_worst_reward dtype: float64 splits: - name: train num_bytes: 4841788931 num_examples: 92858 download_size: 182255447 dataset_size: 4841788931 configs: - config_name: default data_files: - split: train path: data/train-* ---

julia-se/tracka_mistral_multilabel

julia-se

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: Anger dtype: int64 - name: Disgust dtype: int64 - name: Fear dtype: int64 - name: Joy dtype: int64 - name: Sadness dtype: int64 - name: Surprise dtype: int64 - name: Raiva dtype: int64 - name: Nojo dtype: int64 - name: Medo dtype: int64 - name: Alegria dtype: int64 - name: Tristeza dtype: int64 - name: Surpresa dtype: int64 splits: - name: train num_bytes: 544039 num_examples: 2226 download_size: 221435 dataset_size: 544039 configs: - config_name: default data_files: - split: train path: data/train-* ---

julia-se/tracka_qwen_zeroshot_fear

julia-se

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: Anger dtype: int64 - name: Disgust dtype: int64 - name: Fear dtype: int64 - name: Joy dtype: int64 - name: Sadness dtype: int64 - name: Surprise dtype: int64 - name: predicted_is_fear dtype: int64 - name: y_fear dtype: int64 splits: - name: train num_bytes: 472807 num_examples: 2226 download_size: 220654 dataset_size: 472807 configs: - config_name: default data_files: - split: train path: data/train-* ---

r1v3r/asterinas_llm_versions

r1v3r

--- dataset_info: features: - name: version dtype: string - name: pull_number dtype: int64 - name: problem_statement dtype: string - name: test_patch dtype: string - name: instance_id dtype: string - name: created_at dtype: string - name: base_commit dtype: string - name: repo dtype: string - name: issue_numbers sequence: string - name: patch dtype: string - name: hints_text dtype: string - name: environment_setup_commit dtype: string splits: - name: train num_bytes: 95500 num_examples: 3 download_size: 73934 dataset_size: 95500 configs: - config_name: default data_files: - split: train path: data/train-* ---

ininini/final2_QA-Dataset

ininini

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 23107 num_examples: 187 download_size: 10468 dataset_size: 23107 configs: - config_name: default data_files: - split: train path: data/train-* ---

presencesw/data_remove_v0_preprocessed_1000

presencesw

--- dataset_info: features: - name: image dtype: image - name: mask dtype: image - name: masked_image dtype: image - name: mae_embedding dtype: array3_d: shape: - 1 - 196 - 768 dtype: float32 splits: - name: train num_bytes: 13629084978.0 num_examples: 1000 download_size: 13640186121 dataset_size: 13629084978.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

HappyPablo/eval_dec4_data1

HappyPablo

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - so100_2_eval configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "so100", "total_episodes": 10, "total_frames": 8602, "total_tasks": 1, "total_videos": 20, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:10" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

Nachiket-S/LLaMa_3B_IsCoT_DebiasingInstruction

Nachiket-S

--- dataset_info: features: - name: file_name dtype: 'null' - name: paragraph dtype: 'null' splits: - name: inference num_bytes: 0 num_examples: 0 download_size: 756 dataset_size: 0 configs: - config_name: default data_files: - split: inference path: data/inference-* ---

Nachiket-S/LLaMa_3B_NoCoT_DebiasingInstruction

Nachiket-S

--- dataset_info: features: - name: file_name dtype: 'null' - name: paragraph dtype: 'null' splits: - name: inference num_bytes: 0 num_examples: 0 download_size: 756 dataset_size: 0 configs: - config_name: default data_files: - split: inference path: data/inference-* ---

mlgawd/final_dpo_nemo_v18

mlgawd

--- dataset_info: features: - name: questions dtype: string - name: accepted dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 27178086 num_examples: 5845 download_size: 15360486 dataset_size: 27178086 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlgawd/final_dpo_nemo_v20

mlgawd

--- dataset_info: features: - name: questions dtype: string - name: accepted dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 27177632 num_examples: 5845 download_size: 15358940 dataset_size: 27177632 configs: - config_name: default data_files: - split: train path: data/train-* ---

kowndinya23/flan2022-zeroshot-instr-inpt-outp-800000

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 789086601 num_examples: 800000 - name: validation num_bytes: 6604084 num_examples: 7407 download_size: 322527226 dataset_size: 795690685 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

kowndinya23/flan2022-zeroshot-instr-inpt-outp-1600000

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 1522586846 num_examples: 1600000 - name: validation num_bytes: 12982473 num_examples: 13716 download_size: 626208029 dataset_size: 1535569319 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---