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olgagasowska/27_11_working_code_dataset

olgagasowska

--- dataset_info: features: - name: source dtype: string - name: text dtype: string - name: frames_directory dtype: string - name: speaker dtype: string - name: title dtype: string splits: - name: train num_bytes: 9015 num_examples: 1 download_size: 9071 dataset_size: 9015 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/multi-RLHF-65000_turn_0_ckp

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 56996997 num_examples: 65000 download_size: 30209035 dataset_size: 56996997 configs: - config_name: default data_files: - split: train path: data/train-* ---

sumuks/fairytaleqa-single-shot-questions-multihop-original

sumuks

--- dataset_info: features: - name: chunk_ids sequence: string - name: generator_model dtype: string - name: question_type dtype: string - name: question dtype: string - name: answer dtype: string - name: document_analysis dtype: string - name: chunk_analysis sequence: string - name: potential_question_directions sequence: string - name: best_direction dtype: string - name: reasoning dtype: string - name: estimated_difficulty dtype: int64 - name: testable_concepts sequence: string - name: difficulty_justification dtype: string - name: quote_context dtype: string - name: supporting_quotes sequence: string splits: - name: train num_bytes: 343213 num_examples: 131 download_size: 89372 dataset_size: 343213 configs: - config_name: default data_files: - split: train path: data/train-* ---

ziyu3141/rich_feedback_test_new

ziyu3141

--- dataset_info: features: - name: Filename dtype: string - name: Aesthetics score dtype: float64 - name: Artifact score dtype: float64 - name: Misalignment score dtype: float64 - name: Overall score dtype: float64 - name: Artifact heatmap sequence: sequence: sequence: int64 - name: Misalignment heatmap sequence: sequence: sequence: int64 - name: Misalignment token label dtype: string splits: - name: train num_bytes: 6012364496 num_examples: 955 download_size: 12296434 dataset_size: 6012364496 configs: - config_name: default data_files: - split: train path: data/train-* ---

LongVILA/slimpajama_encode_qwen2_512k

LongVILA

--- dataset_info: features: - name: text sequence: int64 splits: - name: train num_bytes: 12591312616 num_examples: 3002 download_size: 3196311388 dataset_size: 12591312616 configs: - config_name: default data_files: - split: train path: data/train-* ---

LongVILA/slimpajama_encode_qwen2_1M

LongVILA

--- dataset_info: features: - name: text sequence: int64 splits: - name: train num_bytes: 15728647500 num_examples: 1875 download_size: 3990195366 dataset_size: 15728647500 configs: - config_name: default data_files: - split: train path: data/train-* ---

AnnGull/GeoWiki

AnnGull

--- task_categories: - text-generation language: - ru ---

FrancophonIA/Ministry_Development_Funds_Regional_Policy

FrancophonIA

--- language: - en - es - fr - de - pl multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/19454 ## Description A collection of parallel PL-EN, EN-DE, EN-ES, EN-FR texts extracted from the documents delivered by the Ministry of Development Funds and Regional Policy (MFiPR). Sentence-level alignment of translation segments was carried out manually and encoded in the XLiFF format. Merging/filtering of segment pairs and conversion into TMX format have also been applied. The collection includes: EN-DE : 96 TUs EN-FR : 94 TUs EN-ES : 96 TUs EN-PL : 2640 TUs ## Citation ``` Ministry of Development Funds and Regional Policy Dataset (Processed) (2021, January 14). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/19454 ```

FrancophonIA/COVID-19_Federal_Public_Service

FrancophonIA

--- language: - en - de - fr - nl multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21030 ## Description Multilingual (EN, DE, FR, NL) COVID-19-related corpus acquired from the website (https://www.info-coronavirus.be) of the Federal Public Service (FPS) Health, Food Chain Safety and Environment of the Belgian government (26th April 2020). It contains 5469 TUs in total. ## Citation ``` COVID-19 Federal Public Service (FPS) Health, Food Chain Safety and Environment of the Belgian government dataset v1. Multilingual (EN, DE, FR, NL) (2020, April 26). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21030 ```

FrancophonIA/COVID-19_PIO-CY

FrancophonIA

--- language: - en - el - fr multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21077 ## Description Multilingual (EN, FR, EL) corpus acquired from the website (https://www.pio.gov.cy/) of the Press and Information Office of Cyprus (30th April 2020). It contains 1692 TUs in total. ## Citation ``` COVID-19 PIO-CY dataset. Multilingual (EN, FR, EL) (2020, May 04). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21077 ```

FrancophonIA/COVID-19_POLISH-GOVv2

FrancophonIA

--- language: - en - de - fr - pl - ru - uk - vi multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21101 ## Description Multilingual (EN, PL, FR, DE, VI, RU, UK) COVID-19-related corpus acquired from the portal (https://www.gov.pl/) of the Polish Government (8th May 2020). It contains 1447 TUs in total. ## Citation ``` COVID-19 POLISH-GOV v2 dataset. Multilingual (EN, PL, FR, DE, VI, RU, UK) (2020, May 09). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21101 ```

FrancophonIA/COVID-19_ROM-GOV

FrancophonIA

--- language: - en - fr - ro multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21109 ## Description Multilingual (EN, FR, RO) corpus acquired from websites of Romanian Government Agencies. It contains 1801 TUs in total. ## Citation ``` COVID-19 ROM-GOV dataset. Multilingual (EN, RO, FR) (2020, May 11). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21109 ```

FrancophonIA/COVID-19_Foreign_Affairs_Belgian_government

FrancophonIA

--- language: - en - fr - de - nl multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21137 ## Description Multilingual (EN, NL, FR, DE) COVID-19-related corpus acquired from the website (https://diplomatie.belgium.be/) of the Foreign Affairs, Foreign Trade and Development Cooperation of the Belgian government (18th August 2020). It contains 6145 TUs in total. ## Citation ``` COVID-19 Foreign Affairs, Foreign Trade and Development Cooperation of the Belgian government dataset v2. Multilingual (EN, NL, FR, DE) (2020, August 24). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21137 ```

FrancophonIA/COVID-19_Luxembourg

FrancophonIA

--- language: - en - pt - fr - de multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21138 ## Description Multilingual (EN, PT, FR, DE) COVID-19-related corpus acquired from the website (https://msan.gouvernement.lu/) of the government of the Grant Duchy of Luxembourg (19th August 2020). It contains 3739 TUs in total. ## Citation ``` COVID-19 Luxembourg dataset v2. Multilingual (EN, PT, FR, DE) (2020, August 24). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21138 ```

FrancophonIA/COVID-19_GOV-LUX

FrancophonIA

--- language: - en - fr - pt - de - nl multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21143 ## Description Multilingual (EN, FR, DE, PT, NL) corpus acquired from websites (*gouvernement.lu*) of the Government og Luxembourg (26th August 2020). It contains 6334 TUs in total. ## Citation ``` COVID-19 GOV-LUX dataset v3. Multilingual (EN, FR, DE, PT, NL) (2020, August 27). Version 3.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21143 ```

FrancophonIA/COVID-19_GEMR_UNESCO

FrancophonIA

--- language: - en - es - fr multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21171 ## Description Multilingual (EN, FR, ES) COVID-19-related corpus acquired from the website (https://gemreportunesco.wordpress.com/) of Global Education Monitoring Report of UNESCO (30th April 2020). It contains 1264 TUs in total. ## Citation ``` COVID-19 GEMR of UNESCO dataset. Multilingual (EN, FR, ES) (2020, April 27). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21171 ```

FrancophonIA/COVID-19_OSHA-EUROPA

FrancophonIA

--- language: - en - bg - cs - da - de - el - es - et - fi - fr - hr - hu - is - it - lt - lv - mt - nb - nl - pl - pt - ro - sk - sl - sv multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21210 ## Description Multilingual (CEF languages) corpus acquired (17th july 2020) from website (https://osha.europa.eu/) of the European Agency for Safety and Health at Work (17th July 2020). It contains 24 TMX files (EN-X, where X is a CEF language plus IS and NB but not Irish) with 1169 TUs in total. ## Citation ``` COVID-19 OSHA-EUROPA dataset v1. Multilingual (CEF languages plus IS and NB but not Irish) (2020, August 04). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21210 ```

FrancophonIA/COVID-19_WIPO

FrancophonIA

--- language: - en - ar - de - es - fr - pt - ru - zh multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21211 ## Description Multilingual (EN, ES, FR, DE, PT, RU, AR, ZH) corpus acquired (10th August 2020) from website (https://www.wipo.int/) of the World intellectual Property Organization. It contains 2427 TUs in total. ## Citation ``` COVID-19 WIPO dataset v2. Multilingual (EN, ES, FR, DE, PT, RU, AR, ZH) (2020, August 11). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21211 ```

FrancophonIA/COVID-19_EI

FrancophonIA

--- language: - en - es - fr multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21213 ## Description Multilingual (EN, FR, ES ) corpus acquired from the website (https://www.ei-ie.org/) of the Education International (24th August 2020). It contains 4015 TUs in total. ## Citation ``` COVID-19 EI dataset v3. Multilingual (EN, FR, ES) (2020, August 24). Version 3.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21213 ```

FrancophonIA/COVID-19_SST-DK

FrancophonIA

--- language: - en - tr - sv - pl - nb - is - fr - fi - de - da multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21215 ## Description Multilingual (EN, TR, SV, PL, NB, IS, FR, FI, DE, DA) corpus acquired from the website (https://www.sst.dk/) of the Danish Health Authority. It contains 1210 TUs in total. ## Citation ``` COVID-19 SST-DK dataset v1. Multilingual (EN, TR, SV, PL, NB, IS, FR, FI, DE, DA) (2020, August 28). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21215 ```

FrancophonIA/COVID-19_landlaeknir

FrancophonIA

--- language: - en - is - pl - de - es - fr - lt multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21216 ## Description Multilingual (EN, IS, PL, DE, ES, FR, LT) corpus acquired from the website (https://www.landlaeknir.is/) of the Directorate of Health of Iceland (27th August 2020). It contains 2603 TUs in total. ## Citation ``` COVID-19 landlaeknir dataset v2. Multilingual (EN, IS, PL, DE, ES, FR, LT) (2020, August 28). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21216 ```

FrancophonIA/COVID-19_Health_Service_Executive_Ireland

FrancophonIA

--- language: - en - bg - cs - de - el - es - fr - ga - lv - lt - pl - pt - ro - sk - sq multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21354 ## Description Multilingual (EN, BG, CS, DE, EL, ES, FR, GA, LV, LT, PL, PT, RO, SK, SQ) covid19-related corpus acquired from the website (https://www.hse.ie/) of the Health Service Executive of Ireland (26th August 2020). It contains 4982 TUs in total. ## Citation ``` COVID-19 Health Service Executive of Ireland dataset v2. Multilingual (EN, BG, CS, DE, EL, ES, FR, GA, LV, LT, PL, PT, RO, SK, SQ) (2020, August 28). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21354 ```

FrancophonIA/Human-reviewed_automatic_English_translations_Europeana

FrancophonIA

--- language: - bg - cs - da - de - el - es - fi - fr - hr - hu - it - nl - pl - ro - sk - sl - sv multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21498 ## Description The resource includes human-reviewed or post-edited translations of metadata sourced from the Europeana platform. The human-inspected automatic translations are from 17 European languages to English. The translations from Bulgarian, Croatian, Czech, Danish, German, Greek, Spanish, Finnish, Hungarian, Polish, Romanian, Slovak, Slovenian and Swedish have been reviewed by a group of linguist experts (2 experts for each language). The translations from Dutch, French, and Italian are sourced from Europeana collections coming from the fashion, audiovisual and museum heritage domains and have been evaluated by cultural heritage experts. In both cases, evaluators were solicited to rate the automatic translations on a scale from 0 to 100. The textual segments have been extracted from different metadata properties of the Europeana Data Model, which captures aspects of a CH item, such as the title of a painting or its description. The TSV files include automatic translations that received a human rating of 90% or above. For Italian, French, and Dutch, we also include in the TSV files automatic translations that have been post-edited by human experts so as to reflect a correct translation. TTSV files have the first row in the source language and the second in English. ## Citation ``` Human-reviewed automatic English translations of Europeana metadata (2023). Version unspecified. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/21498 ```

hhua2/CompositionCap

hhua2

--- license: apache-2.0 ---

juliadollis/Qwen2.5-7B-Instruct_toxigen-data-test_fewshot_maior_LIMIAR3

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 splits: - name: train num_bytes: 393176 num_examples: 940 download_size: 85179 dataset_size: 393176 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/Qwen2.5-7B-Instruct_toxigen-data-test_ZEROSHOTMAIOR

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 splits: - name: train num_bytes: 393176 num_examples: 940 download_size: 85179 dataset_size: 393176 configs: - config_name: default data_files: - split: train path: data/train-* ---

timaeus/max_delta_ablation_l0h3

timaeus

--- dataset_info: features: - name: contents dtype: string - name: metadata struct: - name: pile_set_name sequence: string - name: id dtype: int64 splits: - name: train num_bytes: 16639621 num_examples: 10000 download_size: 10158724 dataset_size: 16639621 configs: - config_name: default data_files: - split: train path: data/train-* ---

thetedjamesexperiment/bluesky_1_post

thetedjamesexperiment

--- license: unlicense --- This dataset contains one (1) Bluesky post by me. It's the greatest post on the whole website.

amuvarma/smol-talk-everyday-flat

amuvarma

--- dataset_info: features: - name: full_topic dtype: string - name: human1 dtype: string - name: assistant1 dtype: string - name: human2 dtype: string - name: assistant2 dtype: string - name: human3 dtype: string - name: assistant3 dtype: string - name: human4 dtype: string - name: assistant4 dtype: string - name: human5 dtype: string - name: assistant5 dtype: string splits: - name: train num_bytes: 1755815 num_examples: 2260 download_size: 977256 dataset_size: 1755815 configs: - config_name: default data_files: - split: train path: data/train-* ---

youkioh/c4_100gb_preprocessed

youkioh

--- dataset_info: features: - name: chunk_id dtype: int64 - name: document dtype: string - name: embedding sequence: float32 splits: - name: train num_bytes: 210966975815 num_examples: 71553600 download_size: 216830634123 dataset_size: 210966975815 configs: - config_name: default data_files: - split: train path: data/train-* ---

RyanYr/self-reflect_mini8Bit-t0_mistlarge-t12_om2-4

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: 311764942 num_examples: 60000 download_size: 136718740 dataset_size: 311764942 configs: - config_name: default data_files: - split: train path: data/train-* ---

derek-thomas/labeled-multiple-choice-explained-mistral-results

derek-thomas

--- dataset_info: features: - name: topic dtype: string - name: question_text dtype: string - name: answer_key dtype: string - name: gpt3_5_reasoning dtype: string - name: mistral_reasoning dtype: string - name: answer_choices dtype: string - name: user_prompt dtype: string - name: user_prompt_RFA dtype: string - name: conversation_RFA_gpt3_5 dtype: string - name: conversation_RFA_mistral dtype: string - name: user_prompt_FAR dtype: string - name: conversation_FAR_gpt3_5 dtype: string - name: conversation_FAR_mistral dtype: string - name: user_prompt_FA dtype: string - name: conversation_FA dtype: string - name: responses_RFA_mistral dtype: string - name: responses_FAR_mistral dtype: string - name: responses_RFA_gpt3_5 dtype: string - name: responses_FAR_gpt3_5 dtype: string - name: responses_FA dtype: string - name: responses_base dtype: string - name: predictions_base dtype: string - name: predictions_FA dtype: string - name: predictions_RFA_mistral dtype: string - name: predictions_FAR_mistral dtype: string - name: predictions_RFA_gpt3_5 dtype: string - name: predictions_FAR_gpt3_5 dtype: string splits: - name: train num_bytes: 28111184 num_examples: 1683 download_size: 11492814 dataset_size: 28111184 configs: - config_name: default data_files: - split: train path: data/train-* ---

smballaa/GATLc

smballaa

--- language: - ar size_categories: - 1K<n<10K --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## 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]

jcw1129/QA-Dataset-mini

jcw1129

--- dataset_info: features: - name: standard dtype: string - name: questions struct: - name: core_question dtype: string - name: start_question dtype: string - name: development_question dtype: string - name: final_question dtype: string splits: - name: train num_bytes: 6302 num_examples: 15 download_size: 9936 dataset_size: 6302 configs: - config_name: default data_files: - split: train path: data/train-* ---

netvu21/llama2_custom_code

netvu21

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 7786 num_examples: 32 download_size: 4172 dataset_size: 7786 configs: - config_name: default data_files: - split: train path: data/train-* ---

kowndinya23/flan2022-zeroshot-task-token-inpt-outp-100000-16-tasks

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 159057545 num_examples: 100000 - name: validation num_bytes: 195563 num_examples: 404 download_size: 94275766 dataset_size: 159253108 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

kowndinya23/flan2022-zeroshot-inpt-outp-100000-16-tasks

kowndinya23

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 158124133 num_examples: 100000 - name: validation num_bytes: 191927 num_examples: 404 download_size: 94108019 dataset_size: 158316060 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

usiboy/shein-clothes-imgs

usiboy

--- dataset_info: features: - name: image dtype: image - name: itemId dtype: string splits: - name: train num_bytes: 26226772.0 num_examples: 10 download_size: 25987876 dataset_size: 26226772.0 --- # Dataset Card for "shein-clothes-imgs" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

rungalileo/toxic_train_v2

rungalileo

--- dataset_info: features: - name: sample_id dtype: int64 - name: text dtype: string - name: toxic dtype: int64 - name: model dtype: string - name: prompt dtype: string - name: n_tokens dtype: int64 splits: - name: train num_bytes: 7057508 num_examples: 4210 - name: val num_bytes: 1256573 num_examples: 743 download_size: 1112150 dataset_size: 8314081 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* ---

simonycl/ultrafeedback_binarized_raw-annotate-judge-mtbench_cot_hon

simonycl

--- dataset_info: features: - name: prompt_id dtype: string - name: prompt dtype: string - name: all_generated_responses sequence: string - name: scores sequence: float64 - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 561825661 num_examples: 61124 download_size: 297679673 dataset_size: 561825661 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/Mistral-7B-Instruct-v0.3-_toxigen-data-test_zeroshot_LIMIAR2

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 splits: - name: train num_bytes: 393176 num_examples: 940 download_size: 85195 dataset_size: 393176 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/finetuningtrain1INSTRUCT-_toxigen-data-test_fewshotmenor_LIMIAR3

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 splits: - name: train num_bytes: 393176 num_examples: 940 download_size: 83155 dataset_size: 393176 configs: - config_name: default data_files: - split: train path: data/train-* ---

THUMedInfo/PMC-Patients-ReCDS

THUMedInfo

--- license: cc-by-nc-sa-4.0 language: - en tags: - information retrieval - patient similarity - clinical decision support size_categories: - 100K<n<1M --- # Dataset Card for PMC-Patients-ReCDS ## Dataset Description - **Homepage:** https://github.com/pmc-patients/pmc-patients - **Repository:** https://github.com/pmc-patients/pmc-patients - **Paper:** https://arxiv.org/pdf/2202.13876.pdf - **Leaderboard:** https://pmc-patients.github.io/ - **Point of Contact:** zhengyun21@mails.tsinghua.edu.cn ### Dataset Summary **PMC-Patients** is a first-of-its-kind dataset consisting of 167k patient summaries extracted from case reports in PubMed Central (PMC), 3.1M patient-article relevance and 293k patient-patient similarity annotations defined by PubMed citation graph. ### Supported Tasks and Leaderboards Based on PMC-Patients, we define two tasks to benchmark Retrieval-based Clinical Decision Support (ReCDS) systems: Patient-to-Article Retrieval (PAR) and Patient-to-Patient Retrieval (PPR). For details, please refer to [our paper](https://arxiv.org/pdf/2202.13876.pdf) and [leaderboard](https://pmc-patients.github.io/). ### Languages English (en). ## Dataset Structure The PMC-Patients ReCDS benchmark is presented as retrieval tasks and the data format is the same as [BEIR](https://github.com/beir-cellar/beir) benchmark. To be specific, there are queries, corpus, and qrels (annotations). ### Queries ReCDS-PAR and ReCDS-PPR tasks share the same query patient set and dataset split. For each split (train, dev, and test), queries are stored a `jsonl` file that contains a list of dictionaries, each with two fields: - `_id`: unique query identifier represented by patient_uid. - `text`: query text represented by patient summary text. ### Corpus Corpus is shared by different splits. For ReCDS-PAR, the corpus contains 11.7M PubMed articles, and for ReCDS-PPR, the corpus contains 155.2k reference patients from PMC-Patients. The corpus is also presented by a `jsonl` file that contains a list of dictionaries with three fields: - `_id`: unique document identifier represented by PMID of the PubMed article in ReCDS-PAR, and patient_uid of the candidate patient in ReCDS-PPR. - `title`: : title of the article in ReCDS-PAR, and empty string in ReCDS-PPR. - `text`: abstract of the article in ReCDS-PAR, and patient summary text in ReCDS-PPR. **PAR corpus note** Due to its large size, we fail to upload the full PAR corpus on Huggingface. Instead, we provide PMIDs of the articles we include in PAR corpus, but we recommend you to download the dataset from [Figshare](https://figshare.com/collections/PMC-Patients/6723465) which contains the full PAR corpus file. ### Qrels Qrels are TREC-style retrieval annotation files in `tsv` format. A qrels file contains three tab-separated columns, i.e. the query identifier, corpus identifier, and score in this order. The scores (2 or 1) indicate the relevance level in ReCDS-PAR or similarity level in ReCDS-PPR. Note that the qrels may not be the same as `relevant_articles` and `similar_patients` in `PMC-Patients.json` due to dataset split (see our manuscript for details). ### Data Instances **A sample of query** {"_id": "8699387-1", "text": "A 60-year-old female patient with a medical history of hypertension came to our attention because of several neurological deficits that had developed over the last few years, significantly impairing her daily life. Four years earlier, she developed sudden weakness and hypoesthesia of the right hand. The symptoms resolved in a few days and no specific diagnostic tests were performed. Two months later, she developed hypoesthesia and weakness of the right lower limb. On neurological examination at the time, she had spastic gait, ataxia, slight pronation of the right upper limb and bilateral Babinski sign. Brain MRI showed extensive white matter hyperintensities (WMHs), so leukodystrophy was suspected. However, these WMHs were located bilaterally in the corona radiata, basal ganglia, the anterior part of the temporal lobes and the medium cerebellar peduncle (A–D), and were highly suggestive of CADASIL. Genetic testing was performed, showing heterozygous mutation of the NOTCH3 gene (c.994 C<T; exon 6). The diagnosis of CADASIL was confirmed and antiplatelet prevention therapy was started. Since then, her clinical conditions remained stable, and the lesion load was unchanged at follow-up brain MRIs for 4 years until November 2020, when the patient was diagnosed with COVID-19 after a PCR nasal swab. The patient developed only mild respiratory symptoms, not requiring hospitalization or any specific treatment. Fifteen days after the COVID-19 diagnosis, she suddenly developed aphasia, agraphia and worsened right upper limb motor deficit, but she did not seek medical attention. Some days later, she reported these symptoms to her family medical doctor, and a new brain MRI was performed, showing a subacute ischemic area in the left corona radiata (E,F). Therapy with acetylsalicylic acid was switched to clopidogrel as secondary prevention, while her symptoms improved in the next few weeks. The patient underwent a carotid doppler ultrasound and an echocardiogram, which did not reveal any pathological changes. The review of the blood pressure log, both in-hospital and the personal one the patient had kept, excluded uncontrolled hypertension."} **A sample of qrels** query-id corpus-id score 8647806-1 6437752-1 1 8647806-1 6946242-1 1 ### Data Splits Refer to our paper. ## Dataset Creation If you are interested in the collection of PMC-Patients and reproducing our baselines, please refer to [this reporsitory](https://github.com/zhao-zy15/PMC-Patients). ### Citation Information If you find PMC-Patients helpful in your research, please cite our work by: ``` @misc{zhao2023pmcpatients, title={PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems}, author={Zhengyun Zhao and Qiao Jin and Fangyuan Chen and Tuorui Peng and Sheng Yu}, year={2023}, eprint={2202.13876}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```

THUMedInfo/PMC-Patients-MetaData

THUMedInfo

--- license: cc-by-nc-sa-4.0 language: - en tags: - medical size_categories: - 100K<n<1M --- Meta data for PMC-Patients that might facilitate reproduction or usage of our dataset, consisting of the following files (most of which can be derived from our main files above). ## PMIDs.json PMIDs of articles from which PMC-Patients are extracted. List of string, length 140,897. ## train_PMIDs.json & dev_PMIDs.json & test_PMIDs.json PMIDs of articles in training / dev / test split. List of string. ## train_patient_uids.json & dev_patient_uids.json & test_patient_uids.json Patient_uids of notes in training / dev / test split. List of string. ## patient2article_relevance.json Full patient-to-article dataset. A dict where the keys are `patient_uid` of queries and each entry is a list of `PMID`, representing articles relevant to the query. The 3-point relevance can be obtained by checking whether the `PMID` is in `PMIDs.json`. ## patient2patient_similarity.json Full patient-to-patient similarity dataset. A dict where the keys are `patient_uid` of queries and each entry is a list of `patient_uid`, representing similar patients to the query. The 3-point similarity can be obtained by checking whether the similar patient share the `PMID` (the string before '-' in `patient_uid`) with the query patient. ## PMID2Mesh.json Dict of PMIDs to MeSH terms of the article. ## MeSH_Humans_patient_uids.json `patient_uid` of the patients in PMC-Patients-Humans (extracted from articles with "Humans" MeSH term). List of string. ## PMC-Patients_citations.json Citations for all articles we used to collect our dataset. A dict where the keys are `patient_uid` and each entry is the citation of the source article. ## human_PMIDs.json PMIDs of the 500 randomly sampled articles for human evaluation. List of string. ## PMC-Patients_human_eval.json Expert annotation results of the 500 articles in `human_PMIDs.json`, including manually annotated patient note, demographics, and relations of the top 5 retrieved articles / patients. List of dict, and the keys are almost identical to `PMC-Patients.json`, with the exception of `human_patient_id` and `human_patient_uid`. The relational annotations are different from automatic ones. They are strings indicating on which dimension(s) are the patient-article / patient-patient pair relevant / similar. "0", "1", "2", and "3" represent "Irrelevant", "Diagnosis", "Test", "Treatment" in ReCDS-PAR, and represent "Dissimilar", "Features", "Outcomes", "Exposure" in ReCDS-PPR. Note that a pair can be relevant / similar on multiple dimensions at the same time. ## PAR_PMIDs.json PMIDs of the 11.7M articles used as PAR corpus. List of string.

wilkincr/OpenRLAIF

wilkincr

--- license: mit ---

makcedward/hudocvqadev2

makcedward

--- dataset_info: config_name: raw features: - name: id dtype: string - name: image dtype: image - name: text dtype: string - name: questions sequence: string - name: answers sequence: string - name: llama3_messages list: - name: content dtype: string - name: role dtype: string splits: - name: test num_bytes: 348512.0 num_examples: 3 - name: train num_bytes: 3073391.0 num_examples: 23 - name: val num_bytes: 350609.0 num_examples: 4 download_size: 3782009 dataset_size: 3772512.0 configs: - config_name: raw data_files: - split: test path: raw/test-* - split: train path: raw/train-* - split: val path: raw/val-* ---

BoringAnt1793/paired_sentiment_datasets_with_spans

BoringAnt1793

--- dataset_info: features: - name: batch_id dtype: int64 - name: first_sentence dtype: string - name: second_sentence dtype: string - name: first_sentence_changes dtype: string - name: second_sentence_changes dtype: string - name: first_sentence_counterfactual_words dtype: string - name: second_sentence_counterfactual_words dtype: string - name: first_sentence_ratio dtype: float64 - name: second_sentence_ratio dtype: float64 - name: first_sentence_sentiment dtype: string - name: second_sentence_sentiment dtype: string splits: - name: train_first_focus num_bytes: 621092 num_examples: 163 - name: test_first_focus num_bytes: 173827 num_examples: 49 - name: dev_first_focus num_bytes: 85796 num_examples: 22 - name: train_second_focus num_bytes: 459434 num_examples: 131 - name: test_second_focus num_bytes: 128142 num_examples: 36 - name: dev_second_focus num_bytes: 92707 num_examples: 22 download_size: 2369954 dataset_size: 1560998 configs: - config_name: default data_files: - split: train_first_focus path: data/train_first_focus-* - split: test_first_focus path: data/test_first_focus-* - split: dev_first_focus path: data/dev_first_focus-* - split: train_second_focus path: data/train_second_focus-* - split: test_second_focus path: data/test_second_focus-* - split: dev_second_focus path: data/dev_second_focus-* ---

marcov/hyperpartisan_news_detection_bypublisher_promptsource

marcov

--- dataset_info: features: - name: text dtype: string - name: title dtype: string - name: hyperpartisan dtype: bool - name: url dtype: string - name: published_at dtype: string - name: bias dtype: class_label: names: '0': right '1': right-center '2': least '3': left-center '4': left - name: template_name dtype: string - name: template dtype: string - name: rendered_input dtype: string - name: rendered_output dtype: string splits: - name: train num_bytes: 28867824560.0 num_examples: 3000000 - name: validation num_bytes: 9802205595.0 num_examples: 750000 download_size: 21155778597 dataset_size: 38670030155.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

juliadollis/stf_regex_ner_pierre_39

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 splits: - name: train num_bytes: 105710580 num_examples: 1000 download_size: 29148054 dataset_size: 105710580 configs: - config_name: default data_files: - split: train path: data/train-* ---

sert121/adult_data_instruction_leaving_relationship

sert121

--- dataset_info: features: - name: input dtype: string - name: instruction dtype: string - name: output dtype: int64 splits: - name: train num_bytes: 6299613 num_examples: 15682 download_size: 672892 dataset_size: 6299613 configs: - config_name: default data_files: - split: train path: data/train-* ---

sert121/adult_data_instruction_leaving_relationship_marital-status

sert121

--- dataset_info: features: - name: input dtype: string - name: instruction dtype: string - name: output dtype: int64 splits: - name: train num_bytes: 5746241 num_examples: 15682 download_size: 606828 dataset_size: 5746241 configs: - config_name: default data_files: - split: train path: data/train-* ---

sert121/adult_data_instruction_leaving_relationship_marital-status_capital-gain

sert121

--- dataset_info: features: - name: input dtype: string - name: instruction dtype: string - name: output dtype: int64 splits: - name: train num_bytes: 5441527 num_examples: 15682 download_size: 579506 dataset_size: 5441527 configs: - config_name: default data_files: - split: train path: data/train-* ---

sert121/adult_data_instruction_leaving_relationship_marital-status_capital-gain_occupation

sert121

--- dataset_info: features: - name: input dtype: string - name: instruction dtype: string - name: output dtype: int64 splits: - name: train num_bytes: 4997160 num_examples: 15682 download_size: 519777 dataset_size: 4997160 configs: - config_name: default data_files: - split: train path: data/train-* ---

rafalopesoc/teste

rafalopesoc

--- license: openrail ---

satriok/data_gabungan_dataset

satriok

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 190069979 num_examples: 100875 download_size: 83038140 dataset_size: 190069979 configs: - config_name: default data_files: - split: train path: data/train-* ---

LovrOP/bone_fracture_dataset

LovrOP

--- dataset_info: features: - name: image_id dtype: int64 - name: image_path dtype: string - name: bbox sequence: int64 - name: category dtype: string - name: category_id dtype: int64 - name: area dtype: int64 - name: iscrowd dtype: int64 splits: - name: train num_bytes: 54278 num_examples: 417 - name: valid num_bytes: 15158 num_examples: 117 - name: test num_bytes: 8698 num_examples: 67 download_size: 40799 dataset_size: 78134 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* ---

maanasharma5/chinese_sft_data

maanasharma5

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: refusal dtype: string splits: - name: train num_bytes: 15064550 num_examples: 15000 download_size: 8081275 dataset_size: 15064550 configs: - config_name: default data_files: - split: train path: data/train-* ---

RyanYr/self-reflect_mini8Bit-t0_mistlarge-t12_om2-5_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: 548202139 num_examples: 100273 download_size: 239693559 dataset_size: 548202139 configs: - config_name: default data_files: - split: train path: data/train-* ---

maanasharma5/greek_sft_data

maanasharma5

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: refusal dtype: string splits: - name: train num_bytes: 24305268 num_examples: 15000 download_size: 10246854 dataset_size: 24305268 configs: - config_name: default data_files: - split: train path: data/train-* ---

LovrOP/bone-fracture-dataset_lovro2002

LovrOP

--- dataset_info: features: - name: image dtype: image - name: image_id dtype: int64 - name: image_path dtype: string - name: bbox sequence: float32 - name: category dtype: class_label: names: '0': bone-fracture '1': angle '2': fracture '3': line '4': messed_up_angle - name: category_id dtype: int64 - name: area dtype: float32 - name: iscrowd dtype: int32 splits: - name: train num_bytes: 18600529.0 num_examples: 417 - name: valid num_bytes: 5539688.0 num_examples: 117 - name: test num_bytes: 3502581.0 num_examples: 67 download_size: 18873532 dataset_size: 27642798.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* ---

DT4LM/debertav3base_mr_pair_leap

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 106140 num_examples: 804 download_size: 75001 dataset_size: 106140 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/debertav3base_mr_pair_leap_original

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 104686 num_examples: 804 download_size: 72570 dataset_size: 104686 configs: - config_name: default data_files: - split: train path: data/train-* ---

DT4LM/albertbasev2_mr_clare_original

DT4LM

--- dataset_info: features: - name: text dtype: string - name: label dtype: int32 splits: - name: train num_bytes: 104015 num_examples: 848 download_size: 71832 dataset_size: 104015 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_pierre_41

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 splits: - name: train num_bytes: 108803977 num_examples: 1000 download_size: 29579011 dataset_size: 108803977 configs: - config_name: default data_files: - split: train path: data/train-* ---

luca0621/multi-RLHF-processed-llama1B-dataset-with-1000-rewards

luca0621

--- dataset_info: features: - name: query dtype: string - name: response dtype: string - name: reward dtype: float64 splits: - name: train num_bytes: 5729563 num_examples: 8000 - name: test num_bytes: 1419142 num_examples: 2000 download_size: 2276183 dataset_size: 7148705 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

juliadollis/stf_regex_ner_pierre_43

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 splits: - name: train num_bytes: 85263411 num_examples: 1000 download_size: 23312438 dataset_size: 85263411 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_pierre_44

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 splits: - name: train num_bytes: 78865976 num_examples: 1000 download_size: 21649229 dataset_size: 78865976 configs: - config_name: default data_files: - split: train path: data/train-* ---

RyanYr/self-reflect_mini8Bit_om2-2

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 splits: - name: train num_bytes: 309595156 num_examples: 100000 download_size: 139025315 dataset_size: 309595156 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_pierre_46

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 splits: - name: train num_bytes: 137256751 num_examples: 1000 download_size: 37207306 dataset_size: 137256751 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_pierre_50

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 splits: - name: train num_bytes: 90846214 num_examples: 1000 download_size: 24392977 dataset_size: 90846214 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_pierre_52

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 splits: - name: train num_bytes: 85183838 num_examples: 1000 download_size: 22726111 dataset_size: 85183838 configs: - config_name: default data_files: - split: train path: data/train-* ---

juliadollis/stf_regex_ner_pierre_53

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 splits: - name: train num_bytes: 100784241 num_examples: 1000 download_size: 27112134 dataset_size: 100784241 configs: - config_name: default data_files: - split: train path: data/train-* ---

lianghsun/tw-processed-related-law-article

lianghsun

--- license: cc-by-nc-sa-4.0 task_categories: - text-generation language: - zh tags: - legal size_categories: - 10K<n<100K --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## 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]

juliadollis/stf_regex_ner_pierre_54

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 splits: - name: train num_bytes: 109944931 num_examples: 1000 download_size: 29848217 dataset_size: 109944931 configs: - config_name: default data_files: - split: train path: data/train-* ---

lianghsun/tw-processed-law-article-related-judgment

lianghsun

--- license: cc-by-nc-sa-4.0 task_categories: - text-generation language: - zh tags: - legal size_categories: - 1M<n<10M --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## 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]

Xtest/function_dataset_from_repos_with_binaries

Xtest

--- dataset_info: features: - name: file_name dtype: string - name: function_name dtype: string - name: function_all dtype: string - name: function_body dtype: string - name: function_all_unknown dtype: string - name: Modified Code dtype: string - name: S-Expression of Original Code dtype: string - name: S-Expression of Modified Code dtype: string - name: Root Node dtype: string - name: Compiled dtype: bool - name: Compile Error dtype: string - name: Binary Path dtype: string splits: - name: train num_bytes: 140501251 num_examples: 3310 - name: validation num_bytes: 21952135 num_examples: 414 - name: test num_bytes: 18914225 num_examples: 414 download_size: 31189818 dataset_size: 181367611 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

Bruece/office-home-edge-hed-realworld

Bruece

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 86203975.47 num_examples: 3049 download_size: 88220429 dataset_size: 86203975.47 configs: - config_name: default data_files: - split: train path: data/train-* ---

Bruece/domainnet-126-edge-hed-clipart

Bruece

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 466494480.698 num_examples: 14818 download_size: 451257493 dataset_size: 466494480.698 configs: - config_name: default data_files: - split: train path: data/train-* ---

Bruece/domainnet-126-edge-hed-painting

Bruece

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 860294885.48 num_examples: 24032 download_size: 837774035 dataset_size: 860294885.48 configs: - config_name: default data_files: - split: train path: data/train-* ---

Bruece/domainnet-126-edge-hed-sketch

Bruece

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 548116968.049 num_examples: 19317 download_size: 503022578 dataset_size: 548116968.049 configs: - config_name: default data_files: - split: train path: data/train-* ---

rahul77/pubtables-1m-batch2

rahul77

--- dataset_info: features: - name: image dtype: image - name: latex dtype: string - name: filename dtype: string splits: - name: train num_bytes: 17018426.0 num_examples: 500 download_size: 16366032 dataset_size: 17018426.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Bruece/domainnet-126-edge-hed-real

Bruece

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 1431931609.055 num_examples: 55697 download_size: 1730605967 dataset_size: 1431931609.055 configs: - config_name: default data_files: - split: train path: data/train-* ---

hyen99-03/llama3_lastdata

hyen99-03

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: input dtype: float64 splits: - name: train num_bytes: 63915 num_examples: 263 download_size: 10523 dataset_size: 63915 configs: - config_name: default data_files: - split: train path: data/train-* ---

Amberlululu/Ukiyoe-pose

Amberlululu

--- license: mit ---

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-GR-unrevised_NoQuant_32_32_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 311516 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-GR-unrevised_NoQuant_16_16_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 312817 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-GR-unrevised_NoQuant_16_32_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 312920 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-GR-unrevised_NoQuant_32_16_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 312126 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-GR-unrevised_NoQuant_64_64_0.05_64_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 172478 num_examples: 94 - name: test num_bytes: 1556265 num_examples: 738 download_size: 312043 dataset_size: 1728743 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

laiBatool/urdu-formated-data

laiBatool

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 180 num_examples: 45 download_size: 708 dataset_size: 180 configs: - config_name: default data_files: - split: train path: data/train-* ---

rahul77/pubtables-1m-batch3

rahul77

--- dataset_info: features: - name: image dtype: image - name: latex dtype: string - name: filename dtype: string splits: - name: train num_bytes: 17018426.0 num_examples: 500 download_size: 16369465 dataset_size: 17018426.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Leanh112/jenny-tts-text-tags-6h-v1

Leanh112

--- 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-* ---

rahul77/pubtables-1m-batch4

rahul77

--- dataset_info: features: - name: image dtype: image - name: latex dtype: string - name: filename dtype: string splits: - name: train num_bytes: 17018426.0 num_examples: 500 download_size: 16366436 dataset_size: 17018426.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

helper2424/koch_test

helper2424

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

Taylor658/functional_neurosurgery

Taylor658

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': medical-diagnosis '1': patient-outcome '2': neuroanatomy '3': treatment-option '4': medical-condition '5': medical-device '6': symptom-description '7': surgical-tool '8': surgical-procedure '9': research-findings splits: - name: train num_bytes: 28687 num_examples: 100 download_size: 18016 dataset_size: 28687 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 functional_neurosurgery 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/Taylor658/functional_neurosurgery/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/Taylor658/functional_neurosurgery/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 8, "text": "A patient with a history of migraines undergoes a procedure to implant a device that stimulates the vagus nerve to prevent seizures." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("Taylor658/functional_neurosurgery", "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("Taylor658/functional_neurosurgery") ``` </details>

omareweis/commonvoice_19.0

omareweis

--- task_categories: - translation language: - en ---

junnystateofmind/multi-RLHF-65000_turn_4_ckp

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 206639951 num_examples: 65000 download_size: 69613246 dataset_size: 206639951 configs: - config_name: default data_files: - split: train path: data/train-* ---

rvanova/harness-docfinqa_golden

rvanova

--- dataset_info: features: - name: input dtype: string - name: target dtype: string splits: - name: train num_bytes: 2444250 num_examples: 5735 - name: validation num_bytes: 328212 num_examples: 780 - name: test num_bytes: 389498 num_examples: 922 download_size: 1223611 dataset_size: 3161960 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

Ziyang/videoautoarena-battles

Ziyang

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

ADHIZ/gh

ADHIZ

--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 6715163 num_examples: 7598 download_size: 1204118 dataset_size: 6715163 configs: - config_name: default data_files: - split: train path: data/train-* ---