Datasets:

librarian-bots

/

dataset_cards_with_metadata

like 11

Follow

Librarian Bots 59

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-* ---

JoeLeelyf/OVBench

JoeLeelyf

--- license: cc-by-nc-sa-4.0 ---

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-* ---

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-* ---

all-oj-gen/ds_coder_reflct_rmsprop_iter3_sppo_hard_new_all_oj_iter3-bin

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: rejected_traceback dtype: string - name: chosen_probs dtype: float64 - name: chosen_probs_win dtype: float64 - name: chosen_probs_lose dtype: float64 splits: - name: train num_bytes: 19631270 num_examples: 4925 download_size: 8690052 dataset_size: 19631270 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_coder_reflct_rmsprop_iter3_sppo_hard_new_all_oj_iter3-bin" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

all-oj-gen/ds_coder_reflct_rmsprop_iter3_sppo_hard_new_all_oj_iter3-full_resp_trace

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: test dtype: string - name: tag dtype: string - name: id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: text_prompt dtype: string - name: text_chosen dtype: string - name: text_rejected dtype: string - name: generate_0 dtype: string - name: generate_0_score dtype: int64 - name: traceback_0 dtype: string - name: generate_1 dtype: string - name: generate_1_score dtype: int64 - name: traceback_1 dtype: string - name: generate_2 dtype: string - name: generate_2_score dtype: int64 - name: traceback_2 dtype: string - name: generate_3 dtype: string - name: generate_3_score dtype: int64 - name: traceback_3 dtype: string - name: probability sequence: sequence: float64 - name: rm_scores sequence: int64 splits: - name: train num_bytes: 50739368 num_examples: 4925 download_size: 19826846 dataset_size: 50739368 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_coder_reflct_rmsprop_iter3_sppo_hard_new_all_oj_iter3-full_resp_trace" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

all-oj-gen/ds_coder_reflct_rmsprop_iter3_sppo_hard_new_all_oj_iter3-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: 38571495 num_examples: 9504 download_size: 11589303 dataset_size: 38571495 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_coder_reflct_rmsprop_iter3_sppo_hard_new_all_oj_iter3-bin_all_pairs" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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-* ---

all-oj-gen/ds_coder_reflct_rmsprop_iter4_sppo_hard_new_all_oj_iter4-bin

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: rejected_traceback dtype: string - name: chosen_probs dtype: float64 - name: chosen_probs_win dtype: float64 - name: chosen_probs_lose dtype: float64 splits: - name: train num_bytes: 19207775 num_examples: 4786 download_size: 8513208 dataset_size: 19207775 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_coder_reflct_rmsprop_iter4_sppo_hard_new_all_oj_iter4-bin" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

all-oj-gen/ds_coder_reflct_rmsprop_iter4_sppo_hard_new_all_oj_iter4-full_resp_trace

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: test dtype: string - name: tag dtype: string - name: id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: text_prompt dtype: string - name: text_chosen dtype: string - name: text_rejected dtype: string - name: generate_0 dtype: string - name: generate_0_score dtype: int64 - name: traceback_0 dtype: string - name: generate_1 dtype: string - name: generate_1_score dtype: int64 - name: traceback_1 dtype: string - name: generate_2 dtype: string - name: generate_2_score dtype: int64 - name: traceback_2 dtype: string - name: generate_3 dtype: string - name: generate_3_score dtype: int64 - name: traceback_3 dtype: string - name: probability sequence: sequence: float64 - name: rm_scores sequence: int64 splits: - name: train num_bytes: 49550398 num_examples: 4786 download_size: 19394475 dataset_size: 49550398 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_coder_reflct_rmsprop_iter4_sppo_hard_new_all_oj_iter4-full_resp_trace" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mlfoundations-dev/alpaca_scale_x.25

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: 35395595 num_examples: 45284 download_size: 21459095 dataset_size: 35395595 configs: - config_name: default data_files: - split: train path: data/train-* ---

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-* ---

RyanYr/self-reflect_mini8Bit-t0_mistlarge-t12_om2-7

RyanYr

--- dataset_info: features: - name: problem dtype: string - name: generated_solution dtype: string - name: answer dtype: string - name: problem_source dtype: string - name: response@0 sequence: string - name: response@1 sequence: string - name: response@2 sequence: string splits: - name: train num_bytes: 303172122 num_examples: 50000 download_size: 130821502 dataset_size: 303172122 configs: - config_name: default data_files: - split: train path: data/train-* ---

RyanYr/self-reflect_mini8Bit-t0_mistlarge-t12_om2-7_binlabel

RyanYr

--- dataset_info: features: - name: problem dtype: string - name: generated_solution dtype: string - name: answer dtype: string - name: problem_source dtype: string - name: response@0 sequence: string - name: response@1 sequence: string - name: response@2 sequence: string - name: response@0_ans sequence: string - name: response@0_correctness sequence: bool - name: response@2_ans sequence: string - name: response@2_correctness sequence: bool splits: - name: train num_bytes: 305368625 num_examples: 50000 download_size: 131914170 dataset_size: 305368625 configs: - config_name: default data_files: - split: train path: data/train-* ---

Saqib772/fashion

Saqib772

--- license: mit ---

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-* ---

NMizu/moonloader

NMizu

--- license: mit language: - ru ---

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-* ---

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-* ---

Synthyra/homodimer_dataset

Synthyra

--- dataset_info: features: - name: seq dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 76793473 num_examples: 164336 download_size: 74972805 dataset_size: 76793473 configs: - config_name: default data_files: - split: train path: data/train-* --- Dataset of proteins that homodimerize (1) and randomly selected proteins from StringDB (0). Homodimers are selected from [here](https://seq2fun.dcmb.med.umich.edu/HomodimerDB/download.cgi) vai the 80% identity clustering.

Nash-pAnDiTa/youssef-mohamed-damar4

Nash-pAnDiTa

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string splits: - name: train num_bytes: 291129184.0 num_examples: 27 download_size: 285538441 dataset_size: 291129184.0 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-* ---

Hieuman/en_HRS_11_22_24

Hieuman

--- dataset_info: features: - name: authorIDs dtype: string - name: fullText sequence: sequence: string - name: cluster dtype: int64 - name: retrieval_idx sequence: int64 splits: - name: train num_bytes: 272149905 num_examples: 11433 download_size: 158253792 dataset_size: 272149905 configs: - config_name: default data_files: - split: train path: data/train-* ---

Hieuman/ru_HRS_11_22_24

Hieuman

--- dataset_info: features: - name: authorIDs dtype: string - name: fullText sequence: sequence: string - name: cluster dtype: int64 - name: retrieval_idx sequence: int64 splits: - name: train num_bytes: 70363749 num_examples: 2468 download_size: 34801169 dataset_size: 70363749 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-* ---

all-oj-gen/ds_chat_pos_reflct_rmsprop_iter4_sppo_hard_new_all_oj_iter4-bin

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: rejected_traceback dtype: string - name: chosen_probs dtype: float64 - name: chosen_probs_win dtype: float64 - name: chosen_probs_lose dtype: float64 splits: - name: train num_bytes: 14458986 num_examples: 4898 download_size: 6165576 dataset_size: 14458986 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_chat_pos_reflct_rmsprop_iter4_sppo_hard_new_all_oj_iter4-bin" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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-* ---

Jithendra-k/EmpatheticDialogues_Results

Jithendra-k

--- dataset_info: features: - name: id dtype: string - name: conversation sequence: string - name: emotion dtype: string - name: emotion_cause dtype: string - name: cause_utterance_indices sequence: int64 - name: conv_response dtype: string - name: generated_responses dtype: string splits: - name: train num_bytes: 1258636 num_examples: 2000 download_size: 712740 dataset_size: 1258636 configs: - config_name: default data_files: - split: train path: data/train-* ---

Nash-pAnDiTa/youssef-StayAtHomeLongTime

Nash-pAnDiTa

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string splits: - name: train num_bytes: 153426511.0 num_examples: 15 download_size: 130983965 dataset_size: 153426511.0 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-* ---

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

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 794683937 num_examples: 800000 - name: validation num_bytes: 6934497 num_examples: 7407 download_size: 428329653 dataset_size: 801618434 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

kowndinya23/flan2022-zeroshot-inpt-outp-800000

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 552943332 num_examples: 800000 - name: validation num_bytes: 4486336 num_examples: 7407 download_size: 298422800 dataset_size: 557429668 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

kowndinya23/flan2022-zeroshot-inpt-outp-1600000

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 1055583489 num_examples: 1600000 - name: validation num_bytes: 9000670 num_examples: 13716 download_size: 579954891 dataset_size: 1064584159 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

mlgawd/final_dpo_nemo_v24

mlgawd

--- dataset_info: features: - name: questions dtype: string - name: accepted dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 27177865 num_examples: 5845 download_size: 15359684 dataset_size: 27177865 configs: - config_name: default data_files: - split: train path: data/train-* ---

Ameeeee/my-distiset-8df6f341

Ameeeee

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': dress '1': outerwear '2': top '3': bottom '4': shoes '5': accessory splits: - name: train num_bytes: 1887 num_examples: 10 download_size: 3623 dataset_size: 1887 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <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 my-distiset-8df6f341 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/Ameeeee/my-distiset-8df6f341/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/Ameeeee/my-distiset-8df6f341/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 2, "text": "The intricately designed long sleeve with a high neckline, cinched at the waist, and made of lightweight yet durable fabric, perfect for both formal and semi-formal events, can be considered an appropriate addition to any woman\u0027s wardrobe, complementing dresses or tops alike." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("Ameeeee/my-distiset-8df6f341", "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("Ameeeee/my-distiset-8df6f341") ``` </details>

2Vasabi/LLaVa-ru-Instruct-mini

2Vasabi

--- dataset_info: features: - name: conversations dtype: string - name: type dtype: string - name: id dtype: int64 - name: image dtype: string splits: - name: train num_bytes: 71942597 num_examples: 40002 download_size: 28578667 dataset_size: 71942597 configs: - config_name: default data_files: - split: train path: data/train-* ---

all-oj-gen/ds_coder6.7b_pos_reflct_rmsprop_iter2_sppo_hard_new_all_oj_iter2-full_resp_trace

all-oj-gen

--- dataset_info: features: - name: prompt dtype: string - name: test dtype: string - name: tag dtype: string - name: id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: text_prompt dtype: string - name: text_chosen dtype: string - name: text_rejected dtype: string - name: generate_0 dtype: string - name: generate_0_score dtype: int64 - name: traceback_0 dtype: string - name: generate_1 dtype: string - name: generate_1_score dtype: int64 - name: traceback_1 dtype: string - name: generate_2 dtype: string - name: generate_2_score dtype: int64 - name: traceback_2 dtype: string - name: generate_3 dtype: string - name: generate_3_score dtype: int64 - name: traceback_3 dtype: string - name: probability sequence: sequence: float64 - name: rm_scores sequence: int64 splits: - name: train num_bytes: 48942459 num_examples: 5387 download_size: 18740718 dataset_size: 48942459 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ds_coder6.7b_pos_reflct_rmsprop_iter2_sppo_hard_new_all_oj_iter2-full_resp_trace" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

jfcalvo/argilla-hub-dataset-exporter-test

jfcalvo

--- tags: - rlfh - argilla - human-feedback --- # Dataset Card for argilla-hub-dataset-exporter-test This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets). ## Using this dataset with Argilla To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: ```python import argilla as rg ds = rg.Dataset.from_hub("jfcalvo/argilla-hub-dataset-exporter-test", settings="auto") ``` This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation. ## Using this dataset with `datasets` To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset ds = load_dataset("jfcalvo/argilla-hub-dataset-exporter-test") ``` This will only load the records of the dataset, but not the Argilla settings. ## Dataset Structure This dataset repo contains: * Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`. * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla. * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`. The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**. ### Fields The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset. | Field Name | Title | Type | Required | | ---------- | ----- | ---- | -------- | | text | Field Title | text | False | ### Questions The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking. | Question Name | Title | Type | Required | Description | Values/Labels | | ------------- | ----- | ---- | -------- | ----------- | ------------- | <!-- check length of metadata properties --> ### Data Splits The dataset contains a single split, which is `train`. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation guidelines [More Information Needed] #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

NinaCalvi/prefcollection-sample-skyworm-rm

NinaCalvi

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: truth_result dtype: string - name: orig_instruction dtype: string - name: orig_response_A dtype: string - name: orig_response_B dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_A dtype: float64 - name: score_B dtype: float64 splits: - name: train num_bytes: 35399703 num_examples: 3000 download_size: 17097077 dataset_size: 35399703 configs: - config_name: default data_files: - split: train path: data/train-* ---

NinaCalvi/prefcollection-full-armo-rm

NinaCalvi

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: truth_result dtype: string - name: orig_instruction dtype: string - name: orig_response_A dtype: string - name: orig_response_B dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_A dtype: float64 - name: score_B dtype: float64 splits: - name: train num_bytes: 855993261 num_examples: 72630 download_size: 244971161 dataset_size: 855993261 configs: - config_name: default data_files: - split: train path: data/train-* ---

maniro-ai/2024-12-04-rod-nav-tape-straight-02

maniro-ai

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

Andrewhg414/CS6613ProjectInstructDS

Andrewhg414

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 796783 num_examples: 1480 - name: test num_bytes: 87890 num_examples: 165 download_size: 427355 dataset_size: 884673 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

skdrx/python-dpo-dataset-varname-formatted-combined-NOSYSTEMPROMPT

skdrx

--- dataset_info: features: - name: rejected list: - name: content dtype: string - name: role dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: prompt list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 1095035 num_examples: 1000 download_size: 432249 dataset_size: 1095035 configs: - config_name: default data_files: - split: train path: data/train-* ---

fedric95/umbra

fedric95

--- license: other license_name: license license_link: LICENSE configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: id dtype: string - name: date dtype: string - name: bbox dtype: string - name: geometry dtype: string - name: satellite dtype: string - name: track dtype: string - name: direction dtype: string - name: mode dtype: string - name: band dtype: string - name: polarization dtype: string - name: azimuth_res dtype: float64 - name: range_res dtype: float64 - name: rows dtype: int64 - name: cols dtype: int64 - name: image_href dtype: string - name: label dtype: image: decode: false - name: image dtype: image: decode: false - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 1934150670.0 num_examples: 8 download_size: 1854301422 dataset_size: 1934150670.0 --- **AGPL-3.0 License**: This OSI-approved open-source license is for research only activities. See the LICENSE file for more details. **Enterprise License**: Designed for commercial use, this license permits integration of AI models derived from this dataset into commercial goods and services, bypassing the open-source requirements of AGPL-3.0. If your scenario involves embedding this dataset into a commercial offering, contact me.

Honi086/Billie_Ellish

Honi086

--- license: openrail ---

shuyuej/PodGPT-Demo-Data

shuyuej

--- license: apache-2.0 ---

BASF-AI/PubChemWikiJAPC

BASF-AI

--- dataset_info: features: - name: sent1 dtype: string - name: sent2 dtype: string - name: labels dtype: int64 splits: - name: test num_bytes: 1213666 num_examples: 1434 download_size: 640047 dataset_size: 1213666 configs: - config_name: default data_files: - split: test path: data/test-* license: cc-by-nc-sa-4.0 task_categories: - text-classification language: - en - ja tags: - chemistry - chemteb - wikipedia - pubchem size_categories: - 1K<n<10K pretty_name: PubChem & Wikipedia English-Japanese Paragraph Pair Classification --- # PubChem & Wikipedia English-Japanese Paragraph Pair Classification This dataset is a multilingual extension of the [PubChem & Wikipedia Paragraphs Pair Classification](https://huggingface.co/datasets/BASF-AI/PubChemWikiParagraphsPC) dataset. It includes pairs of paragraphs in English and Japanese (sent1 and sent2) with a binary labels column indicating whether the paragraphs describe the same entity (1) or different entities (0).

KaiChen1998/nuscenes2d-time-weather-geodiffusion

KaiChen1998

--- license: apache-2.0 task_categories: - text-to-image tags: - layout-to-image --- # nuScenes-time-weather-GeoDiffusion Dataset Card nuScenes-time-weather-GeoDiffusion is the official dataset annotation file used to train [GeoDiffusion](https://arxiv.org/abs/2306.04607) on the nuScenes dataset with time of day (i.e., daytime/night) and weather (i.e., sunny/rain). Since the nuImages dataset does not equip with those meta tags, we opt for the nuScenes dataset and generate the 2D bounding box annotations via inference with a [Mask R-CNN](https://github.com/open-mmlab/mmdetection3d/tree/main/configs/nuimages#instance-segmentation) pre-trained on the nuImages dataset, which is then saved in the standard COCO format. Check detailed usage in our [Github repo](https://github.com/KaiChen1998/GeoDiffusion).

Nachiket-S/LLaMa_1B_Debiasing_Instruction_NoCoT

Nachiket-S

--- dataset_info: features: - name: file_name dtype: string - name: paragraph dtype: string splits: - name: CleanPrompts num_bytes: 63287 num_examples: 90 download_size: 15182 dataset_size: 63287 configs: - config_name: default data_files: - split: CleanPrompts path: data/CleanPrompts-* ---

violetxi/MATH500-sft-prm800k-llama31-8b-steptok_temp0-0_15

violetxi

--- dataset_info: features: - name: problem dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 77533328 num_examples: 20736 download_size: 5766010 dataset_size: 77533328 configs: - config_name: default data_files: - split: train path: data/train-* ---

jkazdan/pku-safe-llama-3.1-8B-Instruct-trial

jkazdan

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 7778 num_examples: 10 download_size: 10606 dataset_size: 7778 configs: - config_name: default data_files: - split: train path: data/train-* ---

guodaosun/tale-frame

guodaosun

--- license: mit task_categories: - text-generation language: - en pretty_name: TaleFrame size_categories: - 1K<n<10K --- # TinyStories Dataset README ## Overview This dataset is based on TinyStories and includes structured JSON data with corresponding annotations, designed for research in controllable story generation and related tasks. ## Dataset Structure Each data item contains the following fields: ### 1. `conversations` - **Type**: List - **Purpose**: Contains the JSON of the story - **`from`**: Always set to `"human"`. - **`value`**: Structured data containing entities, events, story structures and relationships described in JSON format. ### 2. `chosen` - **Type**: Object - **Purpose**: Contains the final selected story. - **`from`**: Always set to `"gpt"`. - **`value`**: The accepted story text. ### 3. `rejected` - **Type**: Object - **Purpose**: Contains a rejected version of the story. - **`from`**: Always set to `"gpt"`. - **`value`**: The rejected story text. ## Structure of `value` Field ## Units Attributes Definition ### Entity | Attribute | Definition | Nullability | |---------------------|-------------------------------------------------------------------------|-------------| | `entity_id` | A unique identifier for the entity, e.g., "entity_1". | required | | `entity_name` | The name of the entity. | required | | `entity_identity` | The identity of the entity. | required | | `entity_motivation` | The motivation or goal of the entity. | required | | `personality_traits`| The list of personality traits of the entity. | required | ### Event | Attribute | Definition | Nullability | |---------------------|-------------------------------------------------------------------------|-------------| | `event_id` | A unique identifier of the event, e.g., "event_1". | required | | `event_time` | Time the event occurs. | nullable | | `event_location` | Location where the event happens. | nullable | | `event_details` | A brief description for the event. | required | | `event_importance` | Importance of the event (three levels: low, medium, high). | required | | `earlier_event` | List of preceding events that caused this event, using event IDs. | required | | `later_event` | List of subsequent events resulting from this event, using event IDs. | required | ### Relationship | Attribute | Definition | Nullability | |-------------------------|---------------------------------------------------------------------------|-------------| | `relationship_id` | A unique identifier for the relationship, e.g., "rel_1". | required | | `included_entities` | The list of entities involved in the relationship, referenced by their entity IDs. | required | | `emotional_type` | The emotional category between the two entities in the relationship. | required | | `action_type` | The type of behavior exhibited between the entities in the relationship. | required | | `action_direction` | The direction of the action/behavior within the relationship. "Internal", "bidirectional", "from AGENT to PATIENT". | required | | `relationship_strength` | The strength of the relationship, categorized as "low", "medium", or "high". | required | | `relationship_evolution`| Description of how the relationship evolves over time, such as gradually building trust. | required | ### Story | Attribute | Definition | Nullability | |-----------------------|-------------------------------------------------------------------------|-------------| | `title` | The title of the story. | required | | `story_description` | A brief description of the story. | required | | `story_structure` | The structure of the story, including "beginning", "middle", "climax", and "ending". | required | | `beginning` | List of event IDs that occur at the beginning of the story. | required | | `middle` | List of event IDs that occur in the middle of the story. | required | | `climax` | List of event IDs that represent the climax of the story. | required | | `ending` | List of event IDs that occur at the ending of the story. | required | ## Nullability - **Required fields**: Must contain a valid value. - **Nullable fields**: Can be left empty. ## Dataset Statistical Features ### Entities - **Total entities**: 24,154 - **Unique entity names**: 4,560 - **Total entity traits**: 4,770 - **Entity trait distribution**: - Negative - Neutral - Positive ### Stories - **Total stories**: 9,851 - **Emotional distribution**: - Negative: 1,243 - Neutral: 2,433 - Positive: 17,727 ### Events - **Total events**: 68,553 - **Emotional distribution**: - Negative: 9,226 - Neutral: 2,213 - Positive: 12,715 ### Relationships - **Total relationships**: 69,481 - **Emotional distribution**: - Negative: 12,213 - Neutral: 15,458 - Positive: 40,882 ## Annotations Stories are evaluated using models like GPT-4 and annotated as "Chosen" or "Rejected" based on quality.

nit1607/access-levels-instruction-with-astriks

nit1607

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 26789819 num_examples: 40000 download_size: 8230717 dataset_size: 26789819 configs: - config_name: default data_files: - split: train path: data/train-* ---

moonhpark/jenny-tts-tags-6h-v1

moonhpark

--- dataset_info: features: - name: file_name dtype: string - name: text dtype: string - name: transcription_normalised 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: float64 - name: phonemes dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 splits: - name: train num_bytes: 1640896 num_examples: 4000 download_size: 1041813 dataset_size: 1640896 configs: - config_name: default data_files: - split: train path: data/train-* ---

moonhpark/jenny-tts-text-tags-6h-v1

moonhpark

--- dataset_info: features: - name: file_name dtype: string - name: text dtype: string - name: transcription_normalised 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 splits: - name: train num_bytes: 2063542 num_examples: 4000 download_size: 1025292 dataset_size: 2063542 configs: - config_name: default data_files: - split: train path: data/train-* ---

sarmass/a4_lima_pairrm_preference_data

sarmass

--- dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: preference dtype: string splits: - name: train num_bytes: 499580 num_examples: 520 download_size: 63799 dataset_size: 499580 configs: - config_name: default data_files: - split: train path: data/train-* ---

shimejii/databricks-dolly-15k-ja__resCount

shimejii

--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string - name: response_char_count dtype: int64 splits: - name: train num_bytes: 14946333 num_examples: 15011 download_size: 8713375 dataset_size: 14946333 configs: - config_name: default data_files: - split: train path: data/train-* ---

cen001/1250ganqingceshi10

cen001

--- dataset_info: features: - name: conversation list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 3355 num_examples: 7 download_size: 3609 dataset_size: 3355 configs: - config_name: default data_files: - split: train path: data/train-* ---

suraj164/lifeexp

suraj164

--- license: apache-2.0 ---

tororoin/onion-text

tororoin

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 23517884 num_examples: 33880 download_size: 15755179 dataset_size: 23517884 configs: - config_name: default data_files: - split: train path: data/train-* ---

anusha7/dataset

anusha7

--- dataset_info: features: - name: Holdings dtype: string - name: Price dtype: float64 - name: Portfolio Weight dtype: float64 - name: First Bought dtype: string - name: Market Value as of Oct 31 2024 dtype: int64 - name: Cur dtype: string - name: Share Change % dtype: float64 - name: 1-Year Return dtype: float64 - name: 3-Year Return dtype: float64 - name: 5-Year Return dtype: float64 - name: Sector dtype: string - name: 'Unnamed: 11' dtype: float64 splits: - name: train num_bytes: 3509 num_examples: 26 download_size: 6695 dataset_size: 3509 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/gpt2_sst2_leap

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 52433 num_examples: 704 download_size: 36548 dataset_size: 52433 configs: - config_name: default data_files: - split: train path: data/train-* ---

gokulsrinivasagan/processed_book_corpus-ld-5

gokulsrinivasagan

--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: special_tokens_mask sequence: int8 - name: lda_lables sequence: float64 splits: - name: train num_bytes: 7123525776 num_examples: 2277342 - name: validation num_bytes: 377568368 num_examples: 120706 download_size: 2169784136 dataset_size: 7501094144 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

Krainmann/common_voice_01_test_de

Krainmann

--- dataset_info: features: - name: client_id dtype: string - name: path dtype: string - name: audio dtype: audio: sampling_rate: 48000 - 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 splits: - name: test num_bytes: 83607787.235 num_examples: 2269 download_size: 82982728 dataset_size: 83607787.235 configs: - config_name: default data_files: - split: test path: data/test-* ---

badayvedat/LJSpeech-1.1

badayvedat

--- tags: - audio - text - text-to-speech --- # The LJ Speech Dataset Version 1.1 July 5, 2017 https://keithito.com/LJ-Speech-Dataset ## OVERVIEW This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. The texts were published between 1884 and 1964, and are in the public domain. The audio was recorded in 2016-17 by the LibriVox project and is also in the public domain. ## FILE FORMAT Metadata is provided in metadata.csv. This file consists of one record per line, delimited by the pipe character (0x7c). The fields are: 1. ID: this is the name of the corresponding .wav file 2. Transcription: words spoken by the reader (UTF-8) 3. Normalized Transcription: transcription with numbers, ordinals, and monetary units expanded into full words (UTF-8). Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 22050 Hz. ## STATISTICS Total Clips 13,100 Total Words 225,715 Total Characters 1,308,674 Total Duration 23:55:17 Mean Clip Duration 6.57 sec Min Clip Duration 1.11 sec Max Clip Duration 10.10 sec Mean Words per Clip 17.23 Distinct Words 13,821 ## MISCELLANEOUS The audio clips range in length from approximately 1 second to 10 seconds. They were segmented automatically based on silences in the recording. Clip boundaries generally align with sentence or clause boundaries, but not always. The text was matched to the audio manually, and a QA pass was done to ensure that the text accurately matched the words spoken in the audio. The original LibriVox recordings were distributed as 128 kbps MP3 files. As a result, they may contain artifacts introduced by the MP3 encoding. The following abbreviations appear in the text. They may be expanded as follows: Abbreviation Expansion -------------------------- Mr. Mister Mrs. Misess (*) Dr. Doctor No. Number St. Saint Co. Company Jr. Junior Maj. Major Gen. General Drs. Doctors Rev. Reverend Lt. Lieutenant Hon. Honorable Sgt. Sergeant Capt. Captain Esq. Esquire Ltd. Limited Col. Colonel Ft. Fort * there's no standard expansion of "Mrs." 19 of the transcriptions contain non-ASCII characters (for example, LJ016-0257 contains "raison d'être"). For more information or to report errors, please email kito@kito.us. ## LICENSE This dataset is in the public domain in the USA (and likely other countries as well). There are no restrictions on its use. For more information, please see: https://librivox.org/pages/public-domain. ## CHANGELOG * 1.0 (July 8, 2017): Initial release * 1.1 (Feb 19, 2018): Version 1.0 included 30 .wav files with no corresponding annotations in metadata.csv. These have been removed in version 1.1. Thanks to Rafael Valle for spotting this. ## CREDITS This dataset consists of excerpts from the following works: * Morris, William, et al. Arts and Crafts Essays. 1893. * Griffiths, Arthur. The Chronicles of Newgate, Vol. 2. 1884. * Roosevelt, Franklin D. The Fireside Chats of Franklin Delano Roosevelt. 1933-42. * Harland, Marion. Marion Harland's Cookery for Beginners. 1893. * Rolt-Wheeler, Francis. The Science - History of the Universe, Vol. 5: Biology. 1910. * Banks, Edgar J. The Seven Wonders of the Ancient World. 1916. * President's Commission on the Assassination of President Kennedy. Report of the President's Commission on the Assassination of President Kennedy. 1964. Recordings by Linda Johnson. Alignment and annotation by Keith Ito. All text, audio, and annotations are in the public domain. There's no requirement to cite this work, but if you'd like to do so, you can link to: https://keithito.com/LJ-Speech-Dataset or use the following: ```bibtex @misc{ljspeech17, author = {Keith Ito}, title = {The LJ Speech Dataset}, howpublished = {\url{https://keithito.com/LJ-Speech-Dataset/}}, year = 2017 } ```

juliadollis/seu_dataset_de_previsoes

juliadollis

--- dataset_info: features: - name: text dtype: string - name: toxicity_human dtype: float64 - name: true_label dtype: int64 - name: predict_label dtype: int64 splits: - name: train num_bytes: 13025 num_examples: 100 download_size: 10262 dataset_size: 13025 configs: - config_name: default data_files: - split: train path: data/train-* ---

Krainmann/common_voice_01_test_en

Krainmann

--- dataset_info: features: - name: client_id dtype: string - name: path dtype: string - name: audio dtype: audio: sampling_rate: 48000 - 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 splits: - name: test num_bytes: 443272447.056 num_examples: 7016 download_size: 299291294 dataset_size: 443272447.056 configs: - config_name: default data_files: - split: test path: data/test-* ---

lingvenvist/animacy-ko-goldstandard-original-dataset-no-glosses

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: validation num_bytes: 99347 num_examples: 912 - name: test num_bytes: 400932 num_examples: 3628 download_size: 234437 dataset_size: 500279 configs: - config_name: default data_files: - split: validation path: data/validation-* - split: test path: data/test-* ---

syllasgiorgos/mini_commonVoice_27583_16Khz

syllasgiorgos

--- dataset_info: features: - name: audio dtype: audio - name: text dtype: string - name: speaker_id dtype: int64 splits: - name: train num_bytes: 69324136.0 num_examples: 459 download_size: 57442486 dataset_size: 69324136.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Erland/NLP701_Assignment2_Subtask3

Erland

--- dataset_info: config_name: EN features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 318635 num_examples: 88 - name: validation num_bytes: 118287 num_examples: 30 download_size: 291390 dataset_size: 436922 configs: - config_name: EN data_files: - split: train path: EN/train-* - split: validation path: EN/validation-* ---