Datasets:
davanstrien
/
test_card

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legacy107/qa_wikipedia_retrieved_chunks
2023-09-28T05:16:17.000Z
[ "region:us" ]
legacy107
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answer_start dtype: int64 - name: answer dtype: string - name: article dtype: string - name: retrieved_context dtype: string splits: - name: train num_bytes: 6212832895 num_examples: 110970 - name: validation num_bytes: 732218436 num_examples: 13833 - name: test num_bytes: 763004753 num_examples: 13873 download_size: 420701697 dataset_size: 7708056084 --- # Dataset Card for "qa_wikipedia_retrieved_chunks" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
thanhduycao/data_synthesis_v1
2023-09-22T00:45:24.000Z
[ "region:us" ]
thanhduycao
null
null
null
0
5
--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: 'null' - name: sampling_rate dtype: int64 - name: transcription dtype: string - name: old_transcription dtype: string splits: - name: train num_bytes: 10125909 num_examples: 20 download_size: 2434457 dataset_size: 10125909 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data_synthesis_v1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hwattenberger/llama2_helpcenter
2023-10-01T23:13:15.000Z
[ "region:us" ]
hwattenberger
null
null
null
0
5
Entry not found
jscode13/Celestia
2023-09-22T01:37:32.000Z
[ "region:us" ]
jscode13
null
null
null
0
5
Entry not found
carlicode/violence_context
2023-09-22T04:47:09.000Z
[ "license:other", "region:us" ]
carlicode
null
null
null
0
5
--- license: other ---
Herreera1/Instructions_objects
2023-09-22T16:35:19.000Z
[ "task_categories:text-classification", "size_categories:n<1K", "language:es", "region:us" ]
Herreera1
null
null
null
0
5
--- task_categories: - text-classification language: - es pretty_name: Dataset tesis size_categories: - n<1K ---
mozci/logobookDB
2023-09-26T02:15:39.000Z
[ "task_categories:text-to-image", "size_categories:1K<n<10K", "language:en", "license:afl-3.0", "brand", "logo", "design", "graphic design", "region:us" ]
mozci
null
null
null
0
5
--- language: - en license: afl-3.0 size_categories: - 1K<n<10K task_categories: - text-to-image pretty_name: Logobook Archive with Captions tags: - brand - logo - design - graphic design dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 162614866.176 num_examples: 4026 download_size: 139569721 dataset_size: 162614866.176 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card This dataset contains image caption pairs for logo designs screped from logobook.com. It is created for my research project to finetune text-image diffusion models with logo designs. Logobook.com has a very nice logo archive consisting of modernist and simplistic logo designs. Each design stored along with some keywords. I used these keywords to create a caption for the logo designs. See example below: ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6475548022b4dec4524bd3f3/8NHOZFmmjk9Hrb0sLeXTl.jpeg) Caption: Adams Law, a prominent law firm in Ireland, features a sleek and professional logo design by Jeremy Simmons of Process. The logo showcases a symbolic letter 'A' enclosed within a circular frame, representing unity and integrity. The inclusion of the word 'Ireland' emphasizes the firm's local expertise and dedication to serving the Irish community. A subtle quotation mark adds a touch of elegance and sophistication, reflecting Adams Law's commitment to delivering impactful legal solutions. This timeless logo design, created in 2017, effectively captures the firm's professionalism and legal expertise. ## Copyright disclaimer Created and used for research purposes.
Falah/blonde_woman_photography_prompts
2023-09-23T06:14:01.000Z
[ "region:us" ]
Falah
null
null
null
0
5
--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 98527 num_examples: 1000 download_size: 1673 dataset_size: 98527 --- # Dataset Card for "blonde_woman_photography_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tanvirsrbd1/srbd-test1-1_annotated
2023-09-23T09:15:33.000Z
[ "region:us" ]
tanvirsrbd1
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: xml dtype: string - name: html dtype: string - name: response dtype: string - name: annotated dtype: string splits: - name: train num_bytes: 35197381.665745854 num_examples: 1265 download_size: 3944835 dataset_size: 35197381.665745854 --- # Dataset Card for "srbd-test1-1_annotated" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tanvirsrbd1/srbd-test1-1_annotated_segmented
2023-09-24T04:54:50.000Z
[ "region:us" ]
tanvirsrbd1
null
null
null
0
5
--- dataset_info: features: - name: html dtype: string - name: response dtype: string splits: - name: train num_bytes: 1837883 num_examples: 2980 download_size: 607662 dataset_size: 1837883 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "srbd-test1-1_annotated_segmented" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Yuhthe/phoner
2023-09-24T15:28:21.000Z
[ "region:us" ]
Yuhthe
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* dataset_info: features: - name: id dtype: int64 - name: words sequence: string - name: tags sequence: class_label: names: '0': B-AGE '1': I-AGE '2': B-DATE '3': I-JOB '4': O '5': B-NAME '6': I-PATIENT_ID '7': B-LOCATION '8': B-TRANSPORTATION '9': B-GENDER '10': I-ORGANIZATION '11': B-SYMPTOM_AND_DISEASE '12': B-JOB '13': I-NAME '14': B-ORGANIZATION '15': I-TRANSPORTATION '16': B-PATIENT_ID '17': I-SYMPTOM_AND_DISEASE '18': I-LOCATION '19': I-DATE splits: - name: train num_bytes: 2408512 num_examples: 5027 - name: val num_bytes: 1020086 num_examples: 2000 - name: test num_bytes: 1549558 num_examples: 3000 download_size: 0 dataset_size: 4978156 --- # Dataset Card for "phoner" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Yuhthe/phoner_conll
2023-09-24T15:34:31.000Z
[ "region:us" ]
Yuhthe
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* dataset_info: features: - name: id dtype: int64 - name: words sequence: string - name: tags sequence: class_label: names: '0': B-AGE '1': I-AGE '2': B-DATE '3': I-JOB '4': O '5': B-NAME '6': I-PATIENT_ID '7': B-LOCATION '8': B-TRANSPORTATION '9': B-GENDER '10': I-ORGANIZATION '11': B-SYMPTOM_AND_DISEASE '12': B-JOB '13': I-NAME '14': B-ORGANIZATION '15': I-TRANSPORTATION '16': B-PATIENT_ID '17': I-SYMPTOM_AND_DISEASE '18': I-LOCATION '19': I-DATE splits: - name: train num_bytes: 2408512 num_examples: 5027 - name: val num_bytes: 1020086 num_examples: 2000 - name: test num_bytes: 1549558 num_examples: 3000 download_size: 831184 dataset_size: 4978156 --- # Dataset Card for "phoner_conll" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Twenty1/cwai_data
2023-09-24T15:43:36.000Z
[ "region:us" ]
Twenty1
null
null
null
0
5
Entry not found
iohadrubin/top_terms
2023-09-24T15:49:25.000Z
[ "region:us" ]
iohadrubin
null
null
null
0
5
--- dataset_info: features: - name: idx dtype: int64 - name: value dtype: string splits: - name: train num_bytes: 49818 num_examples: 64 download_size: 31740 dataset_size: 49818 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "top_terms" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dim/habr_10k
2023-09-24T15:56:17.000Z
[ "region:us" ]
dim
null
null
null
0
5
--- dataset_info: features: - name: id dtype: uint32 - name: language dtype: string - name: url dtype: string - name: title dtype: string - name: text_markdown dtype: string - name: text_html dtype: string - name: author dtype: string - name: original_author dtype: string - name: original_url dtype: string - name: lead_html dtype: string - name: lead_markdown dtype: string - name: type dtype: string - name: time_published dtype: uint64 - name: statistics struct: - name: commentsCount dtype: uint32 - name: favoritesCount dtype: uint32 - name: readingCount dtype: uint32 - name: score dtype: int32 - name: votesCount dtype: int32 - name: votesCountPlus dtype: int32 - name: votesCountMinus dtype: int32 - name: labels sequence: string - name: hubs sequence: string - name: flows sequence: string - name: tags sequence: string - name: reading_time dtype: uint32 - name: format dtype: string - name: complexity dtype: string - name: comments sequence: - name: id dtype: uint64 - name: parent_id dtype: uint64 - name: level dtype: uint32 - name: time_published dtype: uint64 - name: score dtype: int32 - name: votes dtype: uint32 - name: message_html dtype: string - name: message_markdown dtype: string - name: author dtype: string - name: children sequence: uint64 - name: readingCount dtype: int64 splits: - name: train num_bytes: 661170132.0315578 num_examples: 10000 download_size: 901387901 dataset_size: 661170132.0315578 --- # Dataset Card for "habr_10k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Yuhthe/phoner_seq2seq
2023-09-24T16:54:52.000Z
[ "region:us" ]
Yuhthe
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* dataset_info: features: - name: id dtype: int64 - name: words dtype: string - name: tags dtype: string splits: - name: train num_bytes: 2534372 num_examples: 5027 - name: val num_bytes: 1140004 num_examples: 2000 - name: test num_bytes: 1742126 num_examples: 3000 download_size: 2188554 dataset_size: 5416502 --- # Dataset Card for "phoner_seq2seq" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
drumwell/llm-kuobot
2023-09-24T17:11:11.000Z
[ "region:us" ]
drumwell
null
null
null
0
5
--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 1631004.0 num_examples: 199 - name: test num_bytes: 188508.0 num_examples: 23 download_size: 942321 dataset_size: 1819512.0 --- # Dataset Card for "llm-kuobot2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
nannullna/laion-subset
2023-09-25T03:38:21.000Z
[ "task_categories:text-to-image", "size_categories:10K<n<100K", "language:en", "license:mit", "region:us" ]
nannullna
null
null
null
0
5
--- license: mit task_categories: - text-to-image language: - en size_categories: - 10K<n<100K ---
mickwokdotai/vist_sis
2023-09-25T08:03:54.000Z
[ "region:us" ]
mickwokdotai
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: images list: - name: datetaken dtype: timestamp[s] - name: license dtype: string - name: title dtype: string - name: text dtype: string - name: album_id dtype: string - name: longitude dtype: string - name: url_o dtype: string - name: secret dtype: string - name: media dtype: string - name: latitude dtype: string - name: id dtype: string - name: tags dtype: string - name: farm dtype: string - name: server dtype: string - name: url_m dtype: string - name: info dtype: string - name: albums list: - name: description dtype: string - name: title dtype: string - name: farm dtype: string - name: date_update dtype: string - name: primary dtype: string - name: server dtype: string - name: date_create dtype: string - name: photos dtype: string - name: secret dtype: string - name: owner dtype: string - name: vist_label dtype: string - name: id dtype: string - name: type dtype: string - name: annotations list: list: - name: original_text dtype: string - name: album_id dtype: string - name: photo_flickr_id dtype: string - name: setting dtype: string - name: worker_id dtype: string - name: story_id dtype: string - name: tier dtype: string - name: worker_arranged_photo_order dtype: int64 - name: text dtype: string - name: storylet_id dtype: string splits: - name: train num_bytes: 93223761 num_examples: 1 - name: validation num_bytes: 11435294 num_examples: 1 - name: test num_bytes: 11936227 num_examples: 1 download_size: 37413238 dataset_size: 116595282 --- # Dataset Card for "vist_sis" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
atmallen/amazon_polarity_embeddings_random0
2023-09-26T01:31:37.000Z
[ "region:us" ]
atmallen
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: content dtype: string - name: label dtype: class_label: names: '0': neg '1': pos - name: embedding sequence: float32 - name: title dtype: string splits: - name: train num_bytes: 7148364432 num_examples: 3600000 - name: test num_bytes: 19940712 num_examples: 10000 download_size: 3903677724 dataset_size: 7168305144 --- # Dataset Card for "amazon_polarity_embeddings_random0" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
acrastt/EverythingLM-V3-ShareGPT
2023-09-25T23:55:45.000Z
[ "license:mit", "region:us" ]
acrastt
null
null
null
0
5
--- license: mit --- <a href="https://www.buymeacoffee.com/acrastt" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a> [EverythingLM V3 Data](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3) converted to ShareGPT format.
Joo99/counsel_data
2023-09-26T04:22:09.000Z
[ "region:us" ]
Joo99
null
null
null
0
5
Entry not found
lowem1/cc_news_ocr
2023-09-26T07:07:03.000Z
[ "region:us" ]
lowem1
null
null
null
0
5
--- dataset_info: features: - name: tag dtype: string - name: ocr_data dtype: string - name: text dtype: string splits: - name: train num_bytes: 19826223 num_examples: 2000 download_size: 7547846 dataset_size: 19826223 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "cc_news_ocr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ddonuts/recurrent-events
2023-09-26T09:50:00.000Z
[ "license:other", "region:us" ]
ddonuts
null
null
null
0
5
--- license: other ---
atsushi3110/chosen-rejected-pairs
2023-09-26T13:24:47.000Z
[ "license:creativeml-openrail-m", "region:us" ]
atsushi3110
null
null
null
0
5
--- license: creativeml-openrail-m ---
hakkam10/screenplay_emotions
2023-09-26T16:00:45.000Z
[ "region:us" ]
hakkam10
null
null
null
0
5
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # Dataset Card for Dataset Name ## Dataset Description ### Dataset Summary This dataset was created by scrapping the screenplays from the imsdb website and then splitting them into 100 segments. Each segment has been fed into a emotion classification model and classified into the emotion it evokes and represented as a number from 1 to 6. Each number represents one of six emotions: 1 - joy 2 - love 3 - surprise 4 - sadness 5 - anger 6 - fear These numbers are then stored as a one dimensional vector of length 100 in the column emotions. Columns: href - link of the website address from where the script was taken. It should be prefixed with "https://imsdb.com/". title - Title of the film script - The whole screenplay scenes - a list of length 100. scripts are segmented into 100 segments and stored as a list emotions - a list of emotions where each element corresponds to the segments of screenplay at the same position. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## 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 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]
Aditya000001/llamadataset
2023-09-26T18:19:07.000Z
[ "license:wtfpl", "region:us" ]
Aditya000001
null
null
null
0
5
--- license: wtfpl ---
erhwenkuo/openorca-chinese-zhtw
2023-09-26T22:30:01.000Z
[ "task_categories:conversational", "task_categories:text-classification", "task_categories:token-classification", "task_categories:table-question-answering", "task_categories:question-answering", "task_categories:zero-shot-classification", "task_categories:summarization", "task_categories:feature-extra...
erhwenkuo
null
null
null
0
5
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 6491661288 num_examples: 4233915 download_size: 4106469779 dataset_size: 6491661288 language: - zh license: mit task_categories: - conversational - text-classification - token-classification - table-question-answering - question-answering - zero-shot-classification - summarization - feature-extraction - text-generation - text2text-generation pretty_name: ' openorca-chinese-zhtw' size_categories: - 10M<n<100M --- ## Table of Contents - [Dataset Summary](#dataset-summary) - [Dataset Attribution](#dataset-attribution) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Dataset Use](#dataset-use) - [Use Cases](#use-cases) - [Usage Caveats](#usage-caveats) - [Getting Started](#getting-started) configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "openorca-chinese-zhtw" <a name="dataset-summary"></a> # Dataset Summary The OpenOrca dataset is a collection of augmented [FLAN Collection data](https://arxiv.org/abs/2301.13688). Currently ~1M GPT-4 completions, and ~3.2M GPT-3.5 completions. It is tabularized in alignment with the distributions presented in the ORCA paper and currently represents a partial completion of the full intended dataset, with ongoing generation to expand its scope. The data is primarily used for training and evaluation in the field of natural language processing. <a name="supported-tasks-and-leaderboards"></a> # Supported Tasks and Leaderboards This dataset supports a range of tasks including language modeling, text generation, and text augmentation. It has been instrumental in the generation of multiple high-performing model checkpoints which have exhibited exceptional performance in our unit testing. Further information on leaderboards will be updated as they become available. <a name="languages"></a> # Languages The language of the origin data is primarily English and this dataset is translated by Google Translation to traditional Chinese. <a name="dataset-structure"></a> # Dataset Structure <a name="data-instances"></a> ## Data Instances A data instance in this dataset represents entries from the FLAN collection which have been augmented by submitting the listed question to either GPT-4 or GPT-3.5. The response is then entered into the response field. <a name="data-fields"></a> ## Data Fields The fields are: 1) 'id', a unique numbered identifier which includes one of 'niv', 't0', 'cot', or 'flan' to represent which source FLAN Collection submix the 'question' is sourced from. 2) 'system_prompt', representing the System Prompt presented to the GPT-3.5 or GPT-4 API for the datapoint 3) 'question', representing a question entry as provided by the FLAN Collection 4) 'response', a response to that question received from a query to either GPT-3.5 or GPT-4. <a name="data-splits"></a> ## Data Splits The data is unsplit. <a name="dataset-creation"></a> # Dataset Creation <a name="curation-rationale"></a> ## Curation Rationale The dataset was created to provide a source of augmented text data for researchers and developers. The datapoints are intended primarily to provide an enhancement of the core FLAN Collection data which relies upon the detailed step by step reasoning capabilities of GPT-3.5 and GPT-4. This "reasoning trace" augmentation has demonstrated exceptional results, allowing a LLaMA-13B model trained with this data to rival or beat GPT-3.5 on broad sets of hard reasoning tasks which all models below 100B parameters had previously performed dramatically worse on. <a name="source-data"></a> ## Source Data The data is generated using techniques in alignment with the distributions outlined in the Orca paper, except as noted below: 1) There is not enough CoT data in the FLAN Collection to generate 150K zero-shot entries, as the paper purports to use. We suspect this portion was either undocumented or misrepresented. We have used the ~75K points available. 2) We used the pre-generated FLAN Collection datasets hosted on HuggingFace under conceptofmind, e.g. [conceptofmind/flan2021](https://huggingface.co/datasets/conceptofmind/flan2021_submix_original). These are referenced by the [official FLAN Collection repo](https://github.com/google-research/FLAN/tree/main/flan/v2) as the preferred data source. However, these are a subset of the full FLAN Collection data, and have less than the required entries for the flan2021 and t0 submixes, by ~1.25M and 200k respectively. Combined, this gave us ~1.5M fewer datapoints than in the original Orca paper. Completing the set is an ongoing work. <a name="dataset-use"></a> # Dataset Use <a name="use-cases"></a> ## Use Cases The dataset can be used for tasks related to language understanding, natural language processing, machine learning model training, and model performance evaluation. <a name="usage-caveats"></a> ## Usage Caveats Given that this is a work-in-progress dataset, it is recommended to regularly check for updates and improvements. Further, the data should be used in accordance with the guidelines and recommendations outlined in the Orca paper. <a name="getting-started"></a> ## Getting Started This dataset is organized such that it can be naively loaded via Hugging Face datasets library. We recommend using streaming due to the large size of the files. Regular updates and data generation progress can be monitored through the OpenOrca repository on Hugging Face. # Citation ```bibtex @misc{OpenOrca, title = {OpenOrca: An Open Dataset of GPT Augmented FLAN Reasoning Traces}, author = {Wing Lian and Bleys Goodson and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium"}, year = {2023}, publisher = {HuggingFace}, journal = {HuggingFace repository}, howpublished = {\url{https://https://huggingface.co/Open-Orca/OpenOrca}, } ``` ```bibtex @misc{mukherjee2023orca, title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4}, author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah}, year={2023}, eprint={2306.02707}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ```bibtex @misc{longpre2023flan, title={The Flan Collection: Designing Data and Methods for Effective Instruction Tuning}, author={Shayne Longpre and Le Hou and Tu Vu and Albert Webson and Hyung Won Chung and Yi Tay and Denny Zhou and Quoc V. Le and Barret Zoph and Jason Wei and Adam Roberts}, year={2023}, eprint={2301.13688}, archivePrefix={arXiv}, primaryClass={cs.AI} } ``` ```bibtex @misc{touvron2023llama, title={Llama 2: Open Foundation and Fine-Tuned Chat Models}, author={Hugo Touvron and Louis Martin and Kevin Stone and Peter Albert and Amjad Almahairi and Yasmine Babaei and Nikolay Bashlykov and Soumya Batra and Prajjwal Bhargava and Shruti Bhosale and Dan Bikel and Lukas Blecher and Cristian Canton Ferrer and Moya Chen and Guillem Cucurull and David Esiobu and Jude Fernandes and Jeremy Fu and Wenyin Fu and Brian Fuller and Cynthia Gao and Vedanuj Goswami and Naman Goyal and Anthony Hartshorn and Saghar Hosseini and Rui Hou and Hakan Inan and Marcin Kardas and Viktor Kerkez and Madian Khabsa and Isabel Kloumann and Artem Korenev and Punit Singh Koura and Marie-Anne Lachaux and Thibaut Lavril and Jenya Lee and Diana Liskovich and Yinghai Lu and Yuning Mao and Xavier Martinet and Todor Mihaylov and Pushkar Mishra and Igor Molybog and Yixin Nie and Andrew Poulton and Jeremy Reizenstein and Rashi Rungta and Kalyan Saladi and Alan Schelten and Ruan Silva and Eric Michael Smith and Ranjan Subramanian and Xiaoqing Ellen Tan and Binh Tang and Ross Taylor and Adina Williams and Jian Xiang Kuan and Puxin Xu and Zheng Yan and Iliyan Zarov and Yuchen Zhang and Angela Fan and Melanie Kambadur and Sharan Narang and Aurelien Rodriguez and Robert Stojnic and Sergey Edunov and Thomas Scialom}, year={2023}, eprint= arXiv 2307.09288 } @software{touvron2023llama, title={LLaMA: Open and Efficient Foundation Language Models}, author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume}, journal={arXiv preprint arXiv:2302.13971}, year={2023} } ```
huangyt/FINETUNE4_compare8k
2023-09-26T17:11:48.000Z
[ "region:us" ]
huangyt
null
null
null
0
5
Entry not found
mindchain/wikitext2
2023-09-26T19:13:55.000Z
[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:no-annotation", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "languag...
mindchain
null
null
null
0
5
--- annotations_creators: - no-annotation language_creators: - crowdsourced language: - en license: - cc-by-sa-3.0 - gfdl multilinguality: - monolingual paperswithcode_id: wikitext-2 pretty_name: WikiText size_categories: - 1M<n<10M source_datasets: - original task_categories: - text-generation - fill-mask task_ids: - language-modeling - masked-language-modeling dataset_info: - config_name: wikitext-103-v1 features: - name: text dtype: string splits: - name: test num_bytes: 1295579 num_examples: 4358 - name: train num_bytes: 545142639 num_examples: 1801350 - name: validation num_bytes: 1154755 num_examples: 3760 download_size: 190229076 dataset_size: 547592973 - config_name: wikitext-2-v1 features: - name: text dtype: string splits: - name: test num_bytes: 1270951 num_examples: 4358 - name: train num_bytes: 10918134 num_examples: 36718 - name: validation num_bytes: 1134127 num_examples: 3760 download_size: 4475746 dataset_size: 13323212 - config_name: wikitext-103-raw-v1 features: - name: text dtype: string splits: - name: test num_bytes: 1305092 num_examples: 4358 - name: train num_bytes: 546501673 num_examples: 1801350 - name: validation num_bytes: 1159292 num_examples: 3760 download_size: 191984949 dataset_size: 548966057 - config_name: wikitext-2-raw-v1 features: - name: text dtype: string splits: - name: test num_bytes: 1305092 num_examples: 4358 - name: train num_bytes: 11061733 num_examples: 36718 - name: validation num_bytes: 1159292 num_examples: 3760 download_size: 4721645 dataset_size: 13526117 --- # Dataset Card for "wikitext" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/](https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** [Pointer Sentinel Mixture Models](https://arxiv.org/abs/1609.07843) - **Point of Contact:** [Stephen Merity](mailto:smerity@salesforce.com) - **Size of downloaded dataset files:** 391.41 MB - **Size of the generated dataset:** 1.12 GB - **Total amount of disk used:** 1.52 GB ### Dataset Summary The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger vocabulary and retains the original case, punctuation and numbers - all of which are removed in PTB. As it is composed of full articles, the dataset is well suited for models that can take advantage of long term dependencies. Each subset comes in two different variants: - Raw (for character level work) contain the raw tokens, before the addition of the <unk> (unknown) tokens. - Non-raw (for word level work) contain only the tokens in their vocabulary (wiki.train.tokens, wiki.valid.tokens, and wiki.test.tokens). The out-of-vocabulary tokens have been replaced with the the <unk> token. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### wikitext-103-raw-v1 - **Size of downloaded dataset files:** 191.98 MB - **Size of the generated dataset:** 549.42 MB - **Total amount of disk used:** 741.41 MB An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "text": "\" The gold dollar or gold one @-@ dollar piece was a coin struck as a regular issue by the United States Bureau of the Mint from..." } ``` #### wikitext-103-v1 - **Size of downloaded dataset files:** 190.23 MB - **Size of the generated dataset:** 548.05 MB - **Total amount of disk used:** 738.27 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "\" Senjō no Valkyria 3 : <unk> Chronicles ( Japanese : 戦場のヴァルキュリア3 , lit . Valkyria of the Battlefield 3 ) , commonly referred to..." } ``` #### wikitext-2-raw-v1 - **Size of downloaded dataset files:** 4.72 MB - **Size of the generated dataset:** 13.54 MB - **Total amount of disk used:** 18.26 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "\" The Sinclair Scientific Programmable was introduced in 1975 , with the same case as the Sinclair Oxford . It was larger than t..." } ``` #### wikitext-2-v1 - **Size of downloaded dataset files:** 4.48 MB - **Size of the generated dataset:** 13.34 MB - **Total amount of disk used:** 17.82 MB An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "\" Senjō no Valkyria 3 : <unk> Chronicles ( Japanese : 戦場のヴァルキュリア3 , lit . Valkyria of the Battlefield 3 ) , commonly referred to..." } ``` ### Data Fields The data fields are the same among all splits. #### wikitext-103-raw-v1 - `text`: a `string` feature. #### wikitext-103-v1 - `text`: a `string` feature. #### wikitext-2-raw-v1 - `text`: a `string` feature. #### wikitext-2-v1 - `text`: a `string` feature. ### Data Splits | name | train |validation|test| |-------------------|------:|---------:|---:| |wikitext-103-raw-v1|1801350| 3760|4358| |wikitext-103-v1 |1801350| 3760|4358| |wikitext-2-raw-v1 | 36718| 3760|4358| |wikitext-2-v1 | 36718| 3760|4358| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information The dataset is available under the [Creative Commons Attribution-ShareAlike License (CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/). ### Citation Information ``` @misc{merity2016pointer, title={Pointer Sentinel Mixture Models}, author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher}, year={2016}, eprint={1609.07843}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
pestowithpasta/npc-jokes
2023-09-26T22:22:55.000Z
[ "region:us" ]
pestowithpasta
null
null
null
0
5
Entry not found
charlieoneill/genre_dataset_train
2023-09-26T23:49:18.000Z
[ "region:us" ]
charlieoneill
null
null
null
0
5
--- dataset_info: features: - name: text dtype: string - name: labels dtype: int64 splits: - name: train num_bytes: 5268557 num_examples: 6743 download_size: 3656417 dataset_size: 5268557 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "genre_dataset_train" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
DavidLanz/fine_tuning_datraset_4_openai
2023-09-27T03:45:13.000Z
[ "license:cc-by-4.0", "region:us" ]
DavidLanz
null
null
null
0
5
--- license: cc-by-4.0 ---
kewu93/natural_images_small
2023-09-27T05:42:22.000Z
[ "region:us" ]
kewu93
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: caption dtype: string splits: - name: train num_bytes: 2325900.3395232814 num_examples: 50 download_size: 2333116 dataset_size: 2325900.3395232814 --- # Dataset Card for "natural_images_small" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Vrushali/generated_chat
2023-09-27T18:36:46.000Z
[ "region:us" ]
Vrushali
null
null
null
0
5
Entry not found
classla/ParlaSent
2023-09-28T13:52:55.000Z
[ "task_categories:text-classification", "size_categories:10K<n<100K", "language:sl", "language:en", "language:cs", "language:bs", "language:hr", "language:sr", "language:sk", "license:cc-by-sa-4.0", "sentiment", "classification", "parliament", "parlament", "arxiv:2309.09783", "region:us...
classla
null
null
null
1
5
--- license: cc-by-sa-4.0 language: - sl - en - cs - bs - hr - sr - sk tags: - sentiment - classification - parliament - parlament pretty_name: ParlaSent size_categories: - 10K<n<100K configs: - config_name: EN data_files: ParlaSent_EN.jsonl - config_name: BCS data_files: ParlaSent_BCS.jsonl - config_name: CZ data_files: ParlaSent_CZ.jsonl - config_name: SK data_files: ParlaSent_SK.jsonl - config_name: SL data_files: ParlaSent_SL.jsonl - config_name: EN_additional_test data_files: ParlaSent_EN_test.jsonl - config_name: BCS_additional_test data_files: ParlaSent_BCS_test.jsonl task_categories: - text-classification --- # The multilingual sentiment dataset of parliamentary debates ParlaSent 1.0 ## Dataset Description - **Repository: [Clarin.si repo](http://hdl.handle.net/11356/1868)** - **Paper: https://arxiv.org/abs/2309.09783** ### Dataset Summary This dataset was created and used for sentiment analysis experiments. The dataset consists of five training datasets and two test sets. The test sets have a _test.jsonl suffix and appear in the Dataset Viewer as _additional_test. Each test set consists of 2,600 sentences, annotated by one highly trained annotator. Training datasets were internally split into "train", "dev" and "test" portions" for performing language-specific experiments. The 6-level annotation schema, used by annotators, is the following: - Positive for sentences that are entirely or predominantly positive - Negative for sentences that are entirely or predominantly negative - M_Positive for sentences that convey an ambiguous sentiment or a mixture of sentiments, but lean more towards the positive sentiment - M_Negative for sentences that convey an ambiguous sentiment or a mixture of sentiments, but lean more towards the negative sentiment - P_Neutral for sentences that only contain non-sentiment-related statements, but still lean more towards the positive sentiment - N_Neutral for sentences that only contain non-sentiment-related statements, but still lean more towards the negative sentiment Dataset is described in detail in our [paper](https://arxiv.org/abs/2309.09783). ### Data Attributes The attributes in training data are the following: - sentence - the sentence labeled for sentiment - country - the country of the parliament the sentence comes form - annotator1 - first annotator's annotation - annotator2 - second annotator's annotation - reconciliation - the final label agreed upon after reconciliation - label - three level (positive, negative, neutral) label based on the reconciliation label - document_id - internal identifier of the document the sentence comes form - sentence_id - internal identifier of the sentence inside the document - term - the term of the parliament the sentence comes from - date - the date the sentence was uttered as part of a speech in the parliament - name - name of the MP giving the speech - party - the party of the MP - gender - binary gender of the MP - birth year - year of birth of the MP - split - whether the sentence is to be used as a training, development or testing instance in case evaluation is done of the training portion of the dataset - ruling - whether the MP was in a coalition or an opposition at the time of giving the speech The attributes in the test data (_test.jsonl files) are the following: - sentence - the sentence labeled for sentiment - country - the country of the parliament the sentence comes form - annotator1 - first (only) annotator's annotation, used as a final annotation - label - three level (positive, negative, neutral) label based on the annotator1 label - document_id - internal identifier of the document the sentence comes form - sentence_id - internal identifier of the sentence inside the document - term - the term of the parliament the sentence comes from - date - the date the sentence was uttered as part of a speech in the parliament - name - name of the MP giving the speech - party - the party of the MP - gender - binary gender of the MP - birth year - year of birth of the MP - ruling - whether the MP was in a coalition or an opposition at the time of giving the speech ### Citation information Please quote the following paper: ``` @article{ Mochtak_Rupnik_Ljubešić_2023, title={The ParlaSent multilingual training dataset for sentiment identification in parliamentary proceedings}, rights={All rights reserved}, url={http://arxiv.org/abs/2309.09783}, abstractNote={Sentiments inherently drive politics. How we receive and process information plays an essential role in political decision-making, shaping our judgment with strategic consequences both on the level of legislators and the masses. If sentiment plays such an important role in politics, how can we study and measure it systematically? The paper presents a new dataset of sentiment-annotated sentences, which are used in a series of experiments focused on training a robust sentiment classifier for parliamentary proceedings. The paper also introduces the first domain-specific LLM for political science applications additionally pre-trained on 1.72 billion domain-specific words from proceedings of 27 European parliaments. We present experiments demonstrating how the additional pre-training of LLM on parliamentary data can significantly improve the model downstream performance on the domain-specific tasks, in our case, sentiment detection in parliamentary proceedings. We further show that multilingual models perform very well on unseen languages and that additional data from other languages significantly improves the target parliament’s results. The paper makes an important contribution to multiple domains of social sciences and bridges them with computer science and computational linguistics. Lastly, it sets up a more robust approach to sentiment analysis of political texts in general, which allows scholars to study political sentiment from a comparative perspective using standardized tools and techniques.}, note={arXiv:2309.09783 [cs]}, number={arXiv:2309.09783}, publisher={arXiv}, author={Mochtak, Michal and Rupnik, Peter and Ljubešić, Nikola}, year={2023}, month={Sep}, language={en} } ```
pixel-coping/pubmed_derived
2023-10-06T02:26:15.000Z
[ "language:en", "region:us" ]
pixel-coping
null
null
null
0
5
--- configs: - config_name: default data_files: - split: pubmed path: data/pubmed-* - split: nonbiomedical path: data/nonbiomedical-* - split: counterfactual path: data/counterfactual-* - split: casual path: data/casual-* - split: rap path: data/rap-* dataset_info: features: - name: PubmedData struct: - name: ArticleIdList sequence: - name: ArticleId sequence: string - name: PublicationStatus dtype: string - name: History struct: - name: PubMedPubDate sequence: - name: Year dtype: int32 - name: Month dtype: int32 - name: Day dtype: int32 - name: ReferenceList sequence: - name: Citation dtype: string - name: CitationId dtype: int32 - name: text dtype: string splits: - name: pubmed num_bytes: 1166668 num_examples: 1000 - name: nonbiomedical num_bytes: 1141909 num_examples: 1000 - name: counterfactual num_bytes: 1179347 num_examples: 991 - name: casual num_bytes: 1205949 num_examples: 1000 - name: rap num_bytes: 1252260 num_examples: 1000 download_size: 3357032 dataset_size: 5946133 language: - en --- # A corpus of rewritten pubmed abstracts This corpus contains a 1k example subset from the [pubmed](https://huggingface.co/datasets/pubmed) corpus and various rewritten versions. The rewritten versions change one aspect of the orginal text and keeps other aspects unchanged as much as possible. - **Paper:** [Dissecting learning and forgetting in language model finetuning](link pending) Another corpus of rewritten general text is provided here: [c4_derived](https://huggingface.co/datasets/pixel-coping/c4_derived) ### Data Splits - pubmed: a 1k example subset from the original pubmed corpus - nonbiomedical: main topic of text changed to nonbiomedical topic - counerfactual: factuals knowledge in text replaced by incorrect factuals - casual: style of text changed to a casual style - rap: style of text changed to a rap style ## Dataset Creation Text is generated by ChatGPT with corresponding prompts. Refer to the paper for the instructions used to generate text in each derived subsets. Please check the terms and conditions of pubmed data [here](https://www.nlm.nih.gov/databases/download/terms_and_conditions.html). ### Citation Information ``` pending ```
hcho22/code_instructions_120k_alpaca_filtered
2023-09-28T12:18:58.000Z
[ "license:apache-2.0", "region:us" ]
hcho22
null
null
null
0
5
--- license: apache-2.0 ---
Q-bert/test-dataset
2023-10-03T17:03:36.000Z
[ "license:mit", "region:us" ]
Q-bert
null
null
null
0
5
--- license: mit ---
jxm/llama-7b__model__one_million_instructions__emb__sample
2023-09-28T21:19:05.000Z
[ "region:us" ]
jxm
null
null
null
0
5
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: length dtype: int64 - name: embedder_input_ids sequence: int64 - name: embedder_attention_mask sequence: int64 - name: idx dtype: int64 - name: frozen_embeddings sequence: float32 splits: - name: train num_bytes: 1325271843 num_examples: 10000 download_size: 870130332 dataset_size: 1325271843 --- # Dataset Card for "llama-7b__model__one_million_instructions__emb__sample" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
decoy4600/sgm-shiro1
2023-09-29T16:02:56.000Z
[ "region:us" ]
decoy4600
null
null
null
0
5
Entry not found
byrneml/company_names
2023-09-30T00:08:25.000Z
[ "region:us" ]
byrneml
null
null
null
0
5
Entry not found
jitx/distillation_code_4
2023-09-30T00:32:05.000Z
[ "region:us" ]
jitx
null
null
null
0
5
--- dataset_info: features: - name: santacoder_prompts dtype: string - name: fim_inputs dtype: string - name: label_middles dtype: string - name: santacoder_outputs dtype: string - name: openai_rationales dtype: string splits: - name: train num_bytes: 16254 num_examples: 4 download_size: 32557 dataset_size: 16254 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "distillation_code_4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
rghosh8/supportGPT-v8
2023-09-30T06:00:39.000Z
[ "license:bsd", "region:us" ]
rghosh8
null
null
null
0
5
--- license: bsd ---
fengyang0317/open_images
2023-10-01T01:22:51.000Z
[ "license:apache-2.0", "region:us" ]
fengyang0317
null
null
null
0
5
--- license: apache-2.0 configs: - config_name: default data_files: - split: validation path: data/validation-* dataset_info: features: - name: image dtype: image - name: filepath dtype: string splits: - name: validation num_bytes: 39844107.0 num_examples: 100 download_size: 39441443 dataset_size: 39844107.0 ---
cfx211/starholder
2023-09-30T19:09:15.000Z
[ "region:us" ]
cfx211
null
null
null
0
5
Entry not found
YakAnton/LLM_DS
2023-10-01T11:37:39.000Z
[ "region:us" ]
YakAnton
null
null
null
0
5
Entry not found
kolkata97/autotrain-data-test-pellm0
2023-10-01T22:29:54.000Z
[ "region:us" ]
kolkata97
null
null
null
0
5
pin-lpt/little_island_and_coals_drop_yard
2023-10-02T10:40:38.000Z
[ "region:us" ]
pin-lpt
null
null
null
0
5
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 6763728.0 num_examples: 6 download_size: 6760101 dataset_size: 6763728.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "little_island_and_coals_drop_yard" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ayoubkirouane/arxiv-math
2023-10-02T18:59:00.000Z
[ "region:us" ]
ayoubkirouane
null
null
null
0
5
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 35436503.0 num_examples: 50488 download_size: 18875033 dataset_size: 35436503.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "arxiv-math" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Dloring1/Mini-50K-Recipes
2023-10-02T21:03:08.000Z
[ "region:us" ]
Dloring1
null
null
null
0
5
--- dataset_info: features: - name: input dtype: string splits: - name: train num_bytes: 36535401.96567886 num_examples: 50000 download_size: 19480443 dataset_size: 36535401.96567886 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Mini-50K-Recipes" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Harsha9044/TAM-MSA
2023-10-03T08:24:38.000Z
[ "license:apache-2.0", "region:us" ]
Harsha9044
null
null
null
0
5
--- license: apache-2.0 dataset_info: features: - name: File name dtype: string - name: Transcript dtype: string - name: Labels dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 283807 num_examples: 64 download_size: 120689 dataset_size: 283807 ---
rohanbalkondekar/generate_json_long
2023-10-05T11:58:38.000Z
[ "region:us" ]
rohanbalkondekar
null
null
null
0
5
Entry not found
weaviate/WithRetrieval-Random-Test-80
2023-10-03T14:04:00.000Z
[ "license:apache-2.0", "region:us" ]
weaviate
null
null
null
0
5
--- license: apache-2.0 ---
Malmika/ict_dataset
2023-10-03T15:01:44.000Z
[ "region:us" ]
Malmika
null
null
null
1
5
Entry not found
alvelvis/ccus-embeddings
2023-10-03T16:39:11.000Z
[ "license:apache-2.0", "region:us" ]
alvelvis
null
null
null
0
5
--- license: apache-2.0 ---
shossain/qa-no-pad-16384
2023-10-04T04:56:40.000Z
[ "region:us" ]
shossain
null
null
null
0
5
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 9723626 num_examples: 192 download_size: 2505308 dataset_size: 9723626 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "qa-no-pad-16384" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ASIDS/alpaca-cleaned-ru
2023-10-04T14:26:17.000Z
[ "task_categories:text-generation", "language_creators:translated", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:yahma/alpaca-cleaned", "language:ru", "license:cc-by-4.0", "instruction-finetuning", "region:us" ]
ASIDS
null
null
null
0
5
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: iteration dtype: uint32 splits: - name: train num_bytes: 74829755.0 num_examples: 51760 download_size: 36596664 dataset_size: 74829755.0 license: cc-by-4.0 language: - ru multilinguality: - monolingual tags: - instruction-finetuning pretty_name: alpaca-cleaned-ru task_categories: - text-generation size_categories: - 10K<n<100K source_datasets: - yahma/alpaca-cleaned language_creators: - translated --- # alpaca-cleaned-ru converter for autotrain from [d0rj/alpaca-cleaned-ru](https://huggingface.co/datasets/d0rj/alpaca-cleaned-ru) Translated version of [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) into Russian. ## Dataset Description - **Repository:** https://github.com/gururise/AlpacaDataCleaned - **Repository:** https://huggingface.co/datasets/d0rj/alpaca-cleaned-ru
legacy107/qa_wikipedia_sentence_transformer_negative_farming
2023-10-04T13:45:59.000Z
[ "region:us" ]
legacy107
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answer dtype: string - name: negatives sequence: string - name: positive dtype: string splits: - name: train num_bytes: 147665416 num_examples: 27742 - name: test num_bytes: 18591659 num_examples: 3468 - name: validation num_bytes: 18443101 num_examples: 3458 download_size: 37917812 dataset_size: 184700176 --- # Dataset Card for "qa_wikipedia_sentence_transformer_negative_farming" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ewre324/appy-llama2-1k
2023-10-06T13:28:59.000Z
[ "region:us" ]
ewre324
null
null
null
0
5
--- dataset_info: features: - name: prompt dtype: large_string - name: main_topic dtype: large_string - name: subtopic dtype: large_string - name: adjective dtype: large_string - name: action_verb dtype: large_string - name: scenario dtype: large_string - name: target_audience dtype: large_string - name: programming_language dtype: large_string - name: common_sense_topic dtype: large_string - name: idx dtype: int64 - name: response dtype: large_string - name: text dtype: string splits: - name: train num_bytes: 236790880 num_examples: 100000 download_size: 100584419 dataset_size: 236790880 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "appy-llama2-1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
LLMGlobalyTest/categories-11k
2023-10-04T16:42:01.000Z
[ "region:us" ]
LLMGlobalyTest
null
null
null
0
5
Entry not found
adityarra07/czech_train_data
2023-10-04T18:09:04.000Z
[ "region:us" ]
adityarra07
null
null
null
0
5
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 669027003.0330192 num_examples: 12613 - name: test num_bytes: 26521327.322326932 num_examples: 500 download_size: 658874865 dataset_size: 695548330.3553461 --- # Dataset Card for "czech_train_data" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
adityarra07/czech_test
2023-10-04T18:09:08.000Z
[ "region:us" ]
adityarra07
null
null
null
0
5
--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: id dtype: string splits: - name: train num_bytes: 53042654.644653864 num_examples: 1000 download_size: 52259185 dataset_size: 53042654.644653864 --- # Dataset Card for "czech_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/tweet-eval-hate
2023-10-05T01:06:59.000Z
[ "region:us" ]
Intuit-GenSRF
null
null
null
0
5
--- dataset_info: features: - name: text dtype: string - name: labels sequence: string splits: - name: train num_bytes: 1217914 num_examples: 9000 download_size: 816470 dataset_size: 1217914 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "tweet_eval-hate" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mrabhi0505/instruction_output_dataset
2023-10-05T11:38:37.000Z
[ "region:us" ]
mrabhi0505
null
null
null
0
5
Entry not found
teragron/reviews
2023-10-09T23:55:54.000Z
[ "task_categories:text-generation", "size_categories:1M<n<10M", "language:en", "license:mit", "finance", "region:us" ]
teragron
null
null
null
0
5
--- license: mit language: - en tags: - finance pretty_name: review_me size_categories: - 1M<n<10M task_categories: - text-generation --- Following packages are necessary to compile the model in C: ```bash sudo apt install gcc-7 ``` ```bash sudo apt-get install build-essential ``` ```python for i in range(1,21): !wget https://huggingface.co/datasets/teragron/reviews/resolve/main/chunk_{i}.bin ``` ```bash git clone https://github.com/karpathy/llama2.c.git ``` ```bash cd llama2.c ``` ```bash pip install -r requirements.txt ``` Path: data/TinyStories_all_data
Fraol/RunMetrics
2023-10-05T15:59:41.000Z
[ "region:us" ]
Fraol
null
null
null
0
5
--- dataset_info: features: - name: source dtype: string - name: path_name dtype: string - name: file_name dtype: string - name: ref_type dtype: string - name: ref_status dtype: string - name: hash dtype: string - name: class_name dtype: string - name: method_name dtype: string - name: row_number dtype: int64 splits: - name: train num_bytes: 2296248627 num_examples: 385811 download_size: 480698181 dataset_size: 2296248627 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "RunMetrics" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
neelblabla/enron_labeled_email-prompts-for-llama2_7b
2023-10-06T13:33:23.000Z
[ "task_categories:text-classification", "task_categories:text-generation", "size_categories:1K<n<10K", "language:en", "region:us" ]
neelblabla
null
null
null
0
5
--- task_categories: - text-classification - text-generation language: - en size_categories: - 1K<n<10K ---
ninja/arabic-english
2023-10-10T10:06:43.000Z
[ "region:us" ]
ninja
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: ar dtype: string - name: en dtype: string splits: - name: train num_bytes: 6307140.417917149 num_examples: 38085 - name: test num_bytes: 700848.5820828509 num_examples: 4232 download_size: 4401263 dataset_size: 7007989.0 --- # Dataset Card for "arabic-english" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
librarian-bots/arxiv_abstracts
2023-10-05T18:42:31.000Z
[ "region:us" ]
librarian-bots
null
null
null
0
5
--- dataset_info: features: - name: title dtype: string - name: abstract dtype: string - name: url dtype: string - name: category dtype: string - name: prediction dtype: string - name: probability dtype: float64 - name: arxiv_id dtype: string splits: - name: train num_bytes: 715878 num_examples: 500 download_size: 411327 dataset_size: 715878 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "arxiv_abstracts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
atulsinghphd/demo-new
2023-10-05T20:03:41.000Z
[ "region:us" ]
atulsinghphd
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 32616.0 num_examples: 172 - name: test num_bytes: 8154.0 num_examples: 43 download_size: 12874 dataset_size: 40770.0 --- # Dataset Card for "demo-new" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hanifabdlh/quac-lamini-instruction-indo-50k-60k
2023-10-06T02:22:35.000Z
[ "region:us" ]
hanifabdlh
null
null
null
0
5
--- dataset_info: features: - name: context dtype: string - name: instruction dtype: string - name: response dtype: string - name: instruction_source dtype: string splits: - name: train num_bytes: 3974664 num_examples: 10000 download_size: 2224367 dataset_size: 3974664 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "quac-lamini-instruction-indo-50k-60k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/affixal_negation_nonce
2023-10-06T04:20:13.000Z
[ "region:us" ]
joey234
null
null
null
0
5
--- dataset_info: features: - name: word dtype: string - name: affix dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 11912 num_examples: 418 download_size: 4873 dataset_size: 11912 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "affixal_negation_nonce" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/Islamic_forest_image_prompts
2023-10-06T07:54:16.000Z
[ "region:us" ]
Falah
null
null
null
0
5
--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3517467 num_examples: 10000 download_size: 151517 dataset_size: 3517467 --- # Dataset Card for "Islamic_forest_image_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AayushShah/Univeral_SQL_Three_Datasets_Combined_WithText_IDs
2023-10-06T11:46:02.000Z
[ "region:us" ]
AayushShah
null
null
null
0
5
--- configs: - config_name: default data_files: - split: context path: data/context-* - split: text_sql_v1 path: data/text_sql_v1-* - split: sparc path: data/sparc-* dataset_info: features: - name: NATURAL_LANG dtype: string - name: SQL dtype: string - name: SCHEMA dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: context num_bytes: 299674929 num_examples: 78519 - name: text_sql_v1 num_bytes: 899253880 num_examples: 220302 - name: sparc num_bytes: 12250417 num_examples: 2846 download_size: 94153422 dataset_size: 1211179226 --- # Dataset Card for "Univeral_SQL_Three_Datasets_Combined_WithText_IDs" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Sharathhebbar24/Indian-Constitution
2023-10-06T12:57:27.000Z
[ "task_categories:text-classification", "task_categories:text-generation", "task_categories:text2text-generation", "language:en", "license:apache-2.0", "region:us" ]
Sharathhebbar24
null
null
null
0
5
--- license: apache-2.0 task_categories: - text-classification - text-generation - text2text-generation language: - en --- # Indian Constitution Dataset The dataset can be used for text classification, text generation and text2text generation
carnival13/massive_val_DA2_tokenized
2023-10-06T13:41:11.000Z
[ "region:us" ]
carnival13
null
null
null
0
5
--- dataset_info: features: - name: pass_label dtype: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 16518290 num_examples: 24160 download_size: 3770585 dataset_size: 16518290 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "massive_val_DA2_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
umarigan/turkish_corpus_tokenized
2023-10-06T22:58:06.000Z
[ "region:us" ]
umarigan
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 49605042096 num_examples: 48253932 - name: valid num_bytes: 595216112 num_examples: 579004 download_size: 24336775144 dataset_size: 50200258208 --- # Dataset Card for "turkish_corpus_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
emozilla/Long-Data-Collections-Fine-Tune
2023-10-09T15:01:11.000Z
[ "region:us" ]
emozilla
null
null
null
0
5
--- dataset_info: features: - name: text dtype: string - name: prompt dtype: string - name: completion dtype: string splits: - name: train num_bytes: 12859272204 num_examples: 98557 download_size: 7118608463 dataset_size: 12859272204 --- # Dataset Card for "Long-Data-Collections-Fine-Tune" Paraquet version of the fine-tune split of [togethercomputer/Long-Data-Collections](https://huggingface.co/datasets/togethercomputer/Long-Data-Collections) Statistics (in # of characters): `total_len: 6419025428, average_len: 65130.08135393731`
AustinMcMike/steve_jobs_conversational
2023-10-07T04:05:47.000Z
[ "license:apache-2.0", "region:us" ]
AustinMcMike
null
null
null
0
5
--- license: apache-2.0 ---
rishikesh/mini-sarcasm-data
2023-10-07T04:29:43.000Z
[ "license:mit", "region:us" ]
rishikesh
null
null
null
0
5
--- license: mit ---
gayathrimanoj/dataset_cpp
2023-10-07T09:06:39.000Z
[ "region:us" ]
gayathrimanoj
null
null
null
0
5
Entry not found
JiggaBooJombs/Novel
2023-10-07T09:20:55.000Z
[ "license:apache-2.0", "region:us" ]
JiggaBooJombs
null
null
null
0
5
--- license: apache-2.0 ---
Buffett/ntuadl_hw1
2023-10-07T12:59:32.000Z
[ "region:us" ]
Buffett
null
null
null
0
5
Entry not found
zhangshuoming/c_arm64_json
2023-10-07T13:42:43.000Z
[ "region:us" ]
zhangshuoming
null
null
null
0
5
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 86023555 num_examples: 19949 download_size: 23189009 dataset_size: 86023555 --- # Dataset Card for "c_arm64_json" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
marcus2000/dataset4sentinement_HSE
2023-10-08T00:39:44.000Z
[ "region:us" ]
marcus2000
null
null
null
0
5
--- dataset_info: features: - name: text dtype: string - name: labels dtype: int64 splits: - name: train num_bytes: 3679508.0480941418 num_examples: 3322 - name: test num_bytes: 650171.9519058582 num_examples: 587 download_size: 2311435 dataset_size: 4329680.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- # Dataset Card for "dataset4sentinement_HSE" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Prisha290/Dataset_onlycorrect
2023-10-08T05:58:51.000Z
[ "region:us" ]
Prisha290
null
null
null
0
5
Entry not found
ShashiVish/cover-letter-dataset
2023-10-08T07:21:14.000Z
[ "region:us" ]
ShashiVish
null
null
null
0
5
--- dataset_info: features: - name: skills dtype: string - name: summary dtype: string - name: Job Title dtype: string - name: Job Responsibilities dtype: string - name: Preferred Qualifications dtype: string - name: Hiring Company dtype: string - name: User Name dtype: string - name: Past Working Experience dtype: string - name: Current Working Experience dtype: string - name: Skillsets dtype: string - name: Qualifications dtype: string - name: Cover Letter dtype: string splits: - name: train num_bytes: 42300.3 num_examples: 7 - name: test num_bytes: 18128.7 num_examples: 3 download_size: 93771 dataset_size: 60429.0 --- # Dataset Card for "cover-letter-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
carles-undergrad-thesis/en-id-parallel-sentences-embedding
2023-10-08T07:57:27.000Z
[ "region:us" ]
carles-undergrad-thesis
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text_en dtype: string - name: text_id dtype: string - name: target_embedding sequence: float32 - name: input_ids_en sequence: int64 - name: attention_mask_en sequence: int64 - name: input_ids_id sequence: int64 - name: attention_mask_id sequence: int64 splits: - name: train num_bytes: 7580096944 num_examples: 1000000 download_size: 4106348878 dataset_size: 7580096944 --- # Dataset Card for "en-id-parallel-sentences-embedding" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Urna02/hangul_ivanov
2023-10-08T09:24:42.000Z
[ "license:apache-2.0", "region:us" ]
Urna02
null
null
null
0
5
--- license: apache-2.0 ---
Linyuyu/linruanruan
2023-10-10T07:00:52.000Z
[ "region:us" ]
Linyuyu
null
null
null
0
5
Entry not found
hk-kaden-kim/uzh-hs23-etsp-eval-single-base-bar
2023-10-08T10:52:59.000Z
[ "region:us" ]
hk-kaden-kim
null
null
null
0
5
--- dataset_info: features: - name: image dtype: image - name: caption dtype: string splits: - name: test num_bytes: 5223052.0 num_examples: 100 download_size: 5179034 dataset_size: 5223052.0 --- # Dataset Card for "uzh-hs23-etsp-eval-single-base-bar" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lollox/math_dataset_50k
2023-10-08T14:51:58.000Z
[ "region:us" ]
lollox
null
null
null
0
5
task_categories: - question-answering ---
AryanNsc/spacehubdataset
2023-10-08T16:41:27.000Z
[ "region:us" ]
AryanNsc
null
null
null
0
5
Entry not found
TwoAbove/LAION-discord-gpt4v
2023-10-08T22:33:39.000Z
[ "license:cc0-1.0", "region:us" ]
TwoAbove
null
null
null
0
5
--- license: cc0-1.0 dataset_info: features: - name: caption dtype: string - name: link dtype: string splits: - name: train num_bytes: 10559 num_examples: 16 download_size: 11091 dataset_size: 10559 configs: - config_name: default data_files: - split: train path: data/train-* ---
d4un/training-bias
2023-10-09T05:12:26.000Z
[ "region:us" ]
d4un
null
null
null
0
5
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary 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). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages This dataset is purely in English. Some of the responses were generated by ChatGPT. ### Discussion of Biases This dataset intentionally carries gender and job-related biases which reflect ones that exist in society, for the research purposes of examining the effects the biases have on the model. Creators do not support these biases.
sankettgorey/donut_5
2023-10-09T08:00:21.000Z
[ "region:us" ]
sankettgorey
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 437960649.0 num_examples: 1000 download_size: 402681326 dataset_size: 437960649.0 --- # Dataset Card for "donut_5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/coloring_book_animals
2023-10-09T09:09:03.000Z
[ "region:us" ]
Falah
null
null
null
0
5
--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 284135 num_examples: 1000 download_size: 3100 dataset_size: 284135 --- # Dataset Card for "coloring_book_animals" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
xjlulu/ntu_adl_QA
2023-10-10T01:41:16.000Z
[ "task_categories:question-answering", "language:zh", "license:apache-2.0", "region:us" ]
xjlulu
null
null
null
0
5
--- configs: - config_name: default data_files: - split: train path: "train.csv" - split: validation path: "validation.csv" - split: test path: "test.csv" - config_name: paragraphs data_files: - split: context path: "context.csv" license: apache-2.0 task_categories: - question-answering language: - zh ---
ilyas3141/ilias_test4
2023-10-09T17:20:07.000Z
[ "region:us" ]
ilyas3141
null
null
null
0
5
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