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5ae1c542ca353561a060c61089fc98a0911f5924
# Dataset Card for "resume_ner17_sl" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tsa17/resume_ner17_sl
[ "region:us" ]
2023-05-07T15:05:28+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "prediction", "list": [{"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "start", "dtype": "int64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", "dtype": "null"}, {"name": "annotation_agent", "dtype": "null"}, {"name": "vectors", "dtype": "null"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "dtype": "null"}, {"name": "status", "dtype": "string"}, {"name": "event_timestamp", "dtype": "timestamp[us]"}, {"name": "metrics", "struct": [{"name": "annotated", "struct": [{"name": "mentions", "sequence": "null"}, {"name": "tags", "sequence": "null"}]}, {"name": "predicted", "struct": [{"name": "mentions", "list": [{"name": "capitalness", "dtype": "string"}, {"name": "chars_length", "dtype": "int64"}, {"name": "density", "dtype": "float64"}, {"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "tokens_length", "dtype": "int64"}, {"name": "value", "dtype": "string"}]}, {"name": "tags", "list": [{"name": "tag", "dtype": "string"}, {"name": "value", "dtype": "string"}]}]}, {"name": "text_length", "dtype": "int64"}, {"name": "tokens", "list": [{"name": "capitalness", "dtype": "string"}, {"name": "char_end", "dtype": "int64"}, {"name": "char_start", "dtype": "int64"}, {"name": "custom", "dtype": "null"}, {"name": "idx", "dtype": "int64"}, {"name": "length", "dtype": "int64"}, {"name": "score", "dtype": "null"}, {"name": "tag", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "tokens_length", "dtype": "int64"}]}], "splits": [{"name": "train", "num_bytes": 474108, "num_examples": 21}], "download_size": 172858, "dataset_size": 474108}}
2023-05-07T15:05:30+00:00
a4afa0aa3ab6ed1e22b14118b928c6c5452aa85a
# Dataset Card for "kids_phoneme_asr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mirfan899/kids_phoneme_asr
[ "region:us" ]
2023-05-07T15:07:55+00:00
{"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "phonetic", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1173701879.864, "num_examples": 4976}], "download_size": 1156934241, "dataset_size": 1173701879.864}}
2023-05-17T03:29:32+00:00
fcfbf7f3d5a705fd5edf054003a911226652c756
# Dataset Card for "turkish-nlp-suite/turkish-wikiNER" <img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/wiki.png" width="20%" height="20%"> ## Dataset Description - **Repository:** [Turkish-WikiNER](https://github.com/turkish-nlp-suite/Turkish-Wiki-NER-Dataset) - **Paper:** [ACL link]() - **Dataset:** Turkish-WikiNER - **Domain:** Wiki - **Number of Labels:** 18 ### Dataset Summary Turkish NER dataset from Wikipedia sentences. 20.000 sentences are sampled and re-annotated from [Kuzgunlar NER dataset](https://data.mendeley.com/datasets/cdcztymf4k/1). Annotations are done by [Co-one](https://co-one.co/). Many thanks to them for their contributions. This dataset is also used in our brand new spaCy Turkish packages. ### Dataset Instances An instance of this dataset looks as follows: ``` { "tokens": ["Çekimler", "5", "Temmuz", "2005", "tarihinde", "Reebok", "Stadyum", ",", "Bolton", ",", "İngiltere'de", "yapılmıştır", "."], "tags": [O", "B-DATE", "I-DATE", "I-DATE", "O", "B-FAC", "I-FAC", "O", "B-GPE", "O", "B-GPE", "O", "O"] } ``` or even better: ![ingiltere](https://github.com/turkish-nlp-suite/Turkish-Wiki-NER-Dataset/assets/8277232/f130a1e9-a3e7-40b9-8204-4917d89607b8) ### Labels - CARDINAL - DATE - EVENT - FAC - GPE - LANGUAGE - LAW - LOC - MONEY - NORP - ORDINAL - ORG - PERCENT - PERSON - PRODUCT - QUANTITY - TIME - TITLE - WORK_OF_ART ### Data Split | name |train|validation|test| |---------|----:|---------:|---:| |Turkish-WikiNER|18000| 1000|1000| ### Citation This work is supported by Google Developer Experts Program. Part of Duygu 2022 Fall-Winter collection, "Turkish NLP with Duygu"/ "Duygu'yla Türkçe NLP". All rights reserved. If you'd like to use this dataset in your own work, please kindly cite [A Diverse Set of Freely Available Linguistic Resources for Turkish](https://aclanthology.org/2023.acl-long.768/) : ``` @inproceedings{altinok-2023-diverse, title = "A Diverse Set of Freely Available Linguistic Resources for {T}urkish", author = "Altinok, Duygu", booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = jul, year = "2023", address = "Toronto, Canada", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2023.acl-long.768", pages = "13739--13750", abstract = "This study presents a diverse set of freely available linguistic resources for Turkish natural language processing, including corpora, pretrained models and education material. Although Turkish is spoken by a sizeable population of over 80 million people, Turkish linguistic resources for natural language processing remain scarce. In this study, we provide corpora to allow practitioners to build their own applications and pretrained models that would assist industry researchers in creating quick prototypes. The provided corpora include named entity recognition datasets of diverse genres, including Wikipedia articles and supplement products customer reviews. In addition, crawling e-commerce and movie reviews websites, we compiled several sentiment analysis datasets of different genres. Our linguistic resources for Turkish also include pretrained spaCy language models. To the best of our knowledge, our models are the first spaCy models trained for the Turkish language. Finally, we provide various types of education material, such as video tutorials and code examples, that can support the interested audience on practicing Turkish NLP. The advantages of our linguistic resources are three-fold: they are freely available, they are first of their kind, and they are easy to use in a broad range of implementations. Along with a thorough description of the resource creation process, we also explain the position of our resources in the Turkish NLP world.", } ```
turkish-nlp-suite/turkish-wikiNER
[ "task_categories:token-classification", "task_ids:named-entity-recognition", "multilinguality:monolingual", "size_categories:10K<n<100K", "language:tr", "license:cc-by-sa-4.0", "region:us" ]
2023-05-07T15:41:04+00:00
{"language": ["tr"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Turkish-WikiNER"}
2023-09-26T09:37:00+00:00
a6ad4c30438eccb11d939d83e2d95b813475a81c
# Dataset Card for "final_train_v2_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mHossain/final_train_v2_test
[ "region:us" ]
2023-05-07T16:18:13+00:00
{"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "input_text", "dtype": "string"}, {"name": "target_text", "dtype": "string"}, {"name": "prefix", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 304216.2, "num_examples": 900}, {"name": "test", "num_bytes": 33801.8, "num_examples": 100}], "download_size": 154404, "dataset_size": 338018.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}]}
2023-08-19T02:08:16+00:00
d506620111874665035140a5a561460bde1daa58
# Dataset Card for The Tatoeba Translation Challenge | All In One ~7.3M entries. Just more user-friendly version that combines all of the entries of original dataset in a single file: https://huggingface.co/datasets/Helsinki-NLP/tatoeba_mt
0x22almostEvil/tatoeba-mt-all-in-one
[ "annotations_creators:Helsinki-NLP", "language_creators:crowdsourced", "multilinguality:translation", "size_categories:1M<n<10M", "source_datasets:Helsinki-NLP/tatoeba_mt", "language:af", "language:ar", "language:az", "language:be", "language:bg", "language:bn", "language:br", "language:bs", "language:ca", "language:ch", "language:cs", "language:cv", "language:cy", "language:da", "language:de", "language:el", "language:en", "language:eo", "language:es", "language:et", "language:eu", "language:fa", "language:fi", "language:fo", "language:fr", "language:fy", "language:ga", "language:gd", "language:gl", "language:gn", "language:he", "language:hi", "language:hr", "language:hu", "language:hy", "language:ia", "language:id", "language:ie", "language:io", "language:is", "language:it", "language:ja", "language:jv", "language:ka", "language:kk", "language:km", "language:ko", "language:ku", "language:kw", "language:la", "language:lb", "language:lt", "language:lv", "language:mi", "language:mk", "language:ml", "language:mn", "language:mr", "language:ms", "language:mt", "language:my", "language:nb", "language:nl", "language:nn", "language:no", "language:oc", "language:pl", "language:pt", "language:qu", "language:rn", "language:ro", "language:ru", "language:sh", "language:sl", "language:sq", "language:sr", "language:sv", "language:sw", "language:ta", "language:te", "language:th", "language:tk", "language:tl", "language:tr", "language:tt", "language:ug", "language:uk", "language:ur", "language:uz", "language:vi", "language:vo", "language:yi", "language:zh", "license:cc-by-2.0", "region:us" ]
2023-05-07T16:28:20+00:00
{"annotations_creators": ["Helsinki-NLP"], "language_creators": ["crowdsourced"], "language": ["af", "ar", "az", "be", "bg", "bn", "br", "bs", "ca", "ch", "cs", "cv", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fo", "fr", "fy", "ga", "gd", "gl", "gn", "he", "hi", "hr", "hu", "hy", "ia", "id", "ie", "io", "is", "it", "ja", "jv", "ka", "kk", "km", "ko", "ku", "kw", "la", "lb", "lt", "lv", "mi", "mk", "ml", "mn", "mr", "ms", "mt", "my", "nb", "nl", "nn", "no", "oc", "pl", "pt", "qu", "rn", "ro", "ru", "sh", "sl", "sq", "sr", "sv", "sw", "ta", "te", "th", "tk", "tl", "tr", "tt", "ug", "uk", "ur", "uz", "vi", "vo", "yi", "zh"], "license": ["cc-by-2.0"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["Helsinki-NLP/tatoeba_mt"], "pretty_name": "The Tatoeba Translation Challenge | All In One", "datasets": ["Helsinki-NLP/tatoeba_mt"]}
2023-05-07T22:54:17+00:00
dbb43d346e905e40fe3ca9c7229f0d6fe7af6469
yessirr667/yess
[ "license:unknown", "region:us" ]
2023-05-07T16:39:38+00:00
{"license": "unknown"}
2023-05-07T16:39:38+00:00
e9e3c998f3e220b860a5cc648760f80cbc62cc3a
janak2/3second-small-2
[ "region:us" ]
2023-05-07T16:50:15+00:00
{}
2023-05-07T16:57:37+00:00
2f704437593cd96ea09302201f69f5be2a8b4cb2
BubuDavid/Selena-Gomez-With-Lyrics-And-Spotify-Audio-Features
[ "license:creativeml-openrail-m", "region:us" ]
2023-05-07T17:22:30+00:00
{"license": "creativeml-openrail-m"}
2023-05-07T17:31:30+00:00
197b90319a26e516b9fc4feef912204b75487e04
# Dataset Card for turkish-nlp-suite/Corona-mini ## Dataset Description - **Repository:** [Turkish Corona-mini corpus](https://github.com/turkish-nlp-suite/Corona-mini-dataset) - **Paper:** [ACL link]() - **Dataset:** Corona-mini - **Domain:** Social Media <img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/corona-mini.png" width="20%" height="20%"> ### Dataset Summary This is a tiny Turkish corpus consisting of comments about Corona symptoms. The corpus is compiled from two Ekşisözlük headlines "covid-19 belirtileri" and "gün gün koronavirüs belirtileri": https://eksisozluk.com/covid-19-belirtileri--6416646 https://eksisozluk.com/gun-gun-koronavirus-belirtileri--6757665 This corpus - contains 178 raw, 175 processed comments - all comments are in Turkish - comes in 2 versions, raw and mildly processed. For the processed version html tags, expressions in brackets and some other tags are removed. if you want more information about how this dataset is crafted you can watch the playlist of my campaign "Turkish NLP with Duygu": [How to compile datasets](https://www.youtube.com/playlist?list=PLJTHlIwB8Vco4ONU_mCNOYIcVyFA9QrBr). If you want to process this dataset with spaCy Turkish you can watch: [Recipes with spaCy Turkish](https://www.youtube.com/watch?v=w0WCkgCOzzw&list=PLJTHlIwB8VcoWxYHnsZOQCxWOraW42NBj) ### Dataset Instances An instance of this dataset looks as follows: ``` { "text": "beni sarsmayan belirtilerdir, 2 doz biontech aşılıyım, 2. doz üzerinden 5 aydan çok geçmişti cuma : ayın 12 si akşamı açık havada az üşümeye maruz kaldım." } ``` ### Data Split | name |train| |---------|----:| |Corona-mini|175| ### Citation This work is supported by Google Developer Experts Program. Part of Duygu 2022 Fall-Winter collection, "Turkish NLP with Duygu"/ "Duygu'yla Türkçe NLP". All rights reserved. If you'd like to use this dataset in your own work, please kindly cite [A Diverse Set of Freely Available Linguistic Resources for Turkish](https://aclanthology.org/2023.acl-long.768/) : ``` @inproceedings{altinok-2023-diverse, title = "A Diverse Set of Freely Available Linguistic Resources for {T}urkish", author = "Altinok, Duygu", booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = jul, year = "2023", address = "Toronto, Canada", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2023.acl-long.768", pages = "13739--13750", abstract = "This study presents a diverse set of freely available linguistic resources for Turkish natural language processing, including corpora, pretrained models and education material. Although Turkish is spoken by a sizeable population of over 80 million people, Turkish linguistic resources for natural language processing remain scarce. In this study, we provide corpora to allow practitioners to build their own applications and pretrained models that would assist industry researchers in creating quick prototypes. The provided corpora include named entity recognition datasets of diverse genres, including Wikipedia articles and supplement products customer reviews. In addition, crawling e-commerce and movie reviews websites, we compiled several sentiment analysis datasets of different genres. Our linguistic resources for Turkish also include pretrained spaCy language models. To the best of our knowledge, our models are the first spaCy models trained for the Turkish language. Finally, we provide various types of education material, such as video tutorials and code examples, that can support the interested audience on practicing Turkish NLP. The advantages of our linguistic resources are three-fold: they are freely available, they are first of their kind, and they are easy to use in a broad range of implementations. Along with a thorough description of the resource creation process, we also explain the position of our resources in the Turkish NLP world.", } ```
turkish-nlp-suite/Corona-mini
[ "task_categories:summarization", "multilinguality:monolingual", "size_categories:n<1K", "language:tr", "license:cc-by-sa-4.0", "region:us" ]
2023-05-07T17:29:06+00:00
{"language": ["tr"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "task_categories": ["summarization"], "pretty_name": "Corona-mini"}
2023-09-20T14:04:26+00:00
b1755946434bde04df6de82db4112495ea0fca09
akorson/allenai
[ "license:openrail", "region:us" ]
2023-05-07T17:30:23+00:00
{"license": "openrail"}
2023-05-07T17:31:06+00:00
f8bc7793ee7ba6a9e4f38a94e533ce1432eef83a
ezezibox1/prueba
[ "license:creativeml-openrail-m", "region:us" ]
2023-05-07T17:33:44+00:00
{"license": "creativeml-openrail-m"}
2023-05-07T17:33:44+00:00
6fb4747ff82c263fe464e2e9b2456ddd6c43a8f0
# 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 [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]
veraaaaa12345/Test1
[ "region:us" ]
2023-05-07T17:54:15+00:00
{}
2023-05-07T17:55:44+00:00
db8d8841ba5d932456c6cb1ae8e19f4c25f49d25
sid9993/Text-Classy
[ "license:apache-2.0", "region:us" ]
2023-05-07T18:16:00+00:00
{"license": "apache-2.0"}
2023-05-07T18:40:40+00:00
42c84248845d9a07bc09d7c14a2af00b6197fe96
# Dataset Card for "imsdb-genre-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
aneeshas/imsdb-genre-movie-scripts
[ "region:us" ]
2023-05-07T18:16:43+00:00
{"dataset_info": {"features": [{"name": "Action", "dtype": "string"}, {"name": "Horror", "dtype": "string"}, {"name": "Sci-Fi", "dtype": "string"}, {"name": "Comedy", "dtype": "string"}, {"name": "Drama", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 180531797, "num_examples": 150}], "download_size": 80225374, "dataset_size": 180531797}}
2023-05-07T19:36:37+00:00
092feeeba8130c08d96cf6d3301eb7dc1645a4d8
# Dataset Card for "ruCoNaLa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AlanRobotics/ruCoNaLa
[ "region:us" ]
2023-05-07T18:59:46+00:00
{"dataset_info": {"features": [{"name": "snippet", "dtype": "string"}, {"name": "translated", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1601026, "num_examples": 11125}], "download_size": 892408, "dataset_size": 1601026}}
2023-05-07T18:59:55+00:00
7fb0884c4d4080dab1f6936ea21e88d786539bf3
Unfaithful/Ceog
[ "license:openrail", "region:us" ]
2023-05-07T19:16:29+00:00
{"license": "openrail"}
2023-05-07T19:25:26+00:00
13ca8409e2750e77fc249c0fa07a79d85089834b
# Dataset Card for "matreshka" ![IMG_6774](https://github.com/zj-karina/matreshka_dataset/assets/70880156/1842445b-4257-47de-a308-677239c5427c) (image generated by Kandinsky-2.1 neural network) Russian dialogues, the persona of the first interlocutor, and a summary of the dialogue generated by GPT-3.5, starting with the first phrase given in the prompt. The matreshka dataset is a multi task datasey, you can use it for the task of summarizing a dialogue or generating a dialogue. Contains life dialogues and is also filled with facts about the world. The dataset was going to give the interlocutor a human manner of communication. After generation, some data contained a format that did not match the request, so we stripped the data with regular expressions. Next, we checked for the correct data type in each line, and changed to the correct format if necessary. authors' telegram channels: [@nadlskom](https://t.me/nadlskom), [@lovedeathtransformers](https://t.me/lovedeathtransformers)
zjkarina/matreshka
[ "task_categories:conversational", "task_categories:summarization", "task_categories:text-generation", "size_categories:1K<n<10K", "language:ru", "license:cc-by-4.0", "region:us" ]
2023-05-07T19:31:03+00:00
{"language": ["ru"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "summarization", "text-generation"], "pretty_name": "matreshka", "dataset_info": {"features": [{"name": "role", "sequence": "string"}, {"name": "dialog", "sequence": "string"}, {"name": "persona", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7320311, "num_examples": 6655}, {"name": "validation", "num_bytes": 1806432, "num_examples": 1664}], "download_size": 4092810, "dataset_size": 9126743}}
2023-05-13T14:38:52+00:00
0178f3bb6a2484771b63fea5c9e003ec6569e328
andrewkatumba/cassava_leaf_diseases_dsa_2023
[ "license:cc-by-sa-4.0", "region:us" ]
2023-05-07T20:18:23+00:00
{"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "cbsd", "1": "cmd", "2": "healthy"}}}}], "splits": [{"name": "train", "num_bytes": 2065460109.0, "num_examples": 900}, {"name": "test", "num_bytes": 334351258.0, "num_examples": 150}], "download_size": 2392507756, "dataset_size": 2399811367.0}}
2023-05-07T20:48:08+00:00
a00c4e697f0abf5ac0e35a122da61e6ee8cbfa3a
# Dataset Card for "asr-interviews-trainer-full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joagonzalez/asr-interviews-trainer-full
[ "region:us" ]
2023-05-07T20:21:57+00:00
{"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "speaker", "dtype": "string"}, {"name": "duration", "dtype": "float64"}, {"name": "filesize", "dtype": "float64"}, {"name": "channels", "dtype": "int64"}, {"name": "sample_rate", "dtype": "int64"}, {"name": "bitrate", "dtype": "int64"}, {"name": "word_count", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 615771491.6460373, "num_examples": 1505}], "download_size": 614079514, "dataset_size": 615771491.6460373}}
2023-05-07T20:26:47+00:00
b6d715b71aaf4de2ff79f1f4e3b17e10bafb7cd2
# Dataset Card for "imsdb-action-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
aneeshas/imsdb-action-movie-scripts
[ "region:us" ]
2023-05-07T20:25:47+00:00
{"dataset_info": {"features": [{"name": "Action", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36309492, "num_examples": 150}], "download_size": 15207860, "dataset_size": 36309492}}
2023-05-07T20:25:58+00:00
b3c65b40060d3a3508117029b84456317e989297
# Dataset Card for "imsdb-horror-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
aneeshas/imsdb-horror-movie-scripts
[ "region:us" ]
2023-05-07T20:26:27+00:00
{"dataset_info": {"features": [{"name": "Horror", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37500587, "num_examples": 150}], "download_size": 17513933, "dataset_size": 37500587}}
2023-05-07T20:26:38+00:00
246cf77ba14dd854d27de2685b6bbe8ec3ad4143
# Dataset Card for "asr-interviews-test-full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joagonzalez/asr-interviews-test-full
[ "region:us" ]
2023-05-07T20:26:48+00:00
{"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "speaker", "dtype": "string"}, {"name": "duration", "dtype": "float64"}, {"name": "filesize", "dtype": "float64"}, {"name": "channels", "dtype": "int64"}, {"name": "sample_rate", "dtype": "int64"}, {"name": "bitrate", "dtype": "int64"}, {"name": "word_count", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 117835383.01896264, "num_examples": 288}], "download_size": 119397139, "dataset_size": 117835383.01896264}}
2023-05-07T20:27:47+00:00
c52dfeec9ff24f45583ee0448398cbf59f76a15b
# Dataset Card for "imsdb-sci-fi-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
aneeshas/imsdb-sci-fi-movie-scripts
[ "region:us" ]
2023-05-07T20:26:59+00:00
{"dataset_info": {"features": [{"name": "Sci-Fi", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35727494, "num_examples": 150}], "download_size": 16207093, "dataset_size": 35727494}}
2023-05-07T20:27:08+00:00
0c090ac7ee436595ad3fa1fc77e80b8e06cb4b6e
# Dataset Card for "imsdb-comedy-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
aneeshas/imsdb-comedy-movie-scripts
[ "region:us" ]
2023-05-07T20:27:31+00:00
{"dataset_info": {"features": [{"name": "Comedy", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34816719, "num_examples": 150}], "download_size": 15474490, "dataset_size": 34816719}}
2023-05-07T20:27:39+00:00
69e7cb5b6c332eefbdb54e20e52bcb37cf1cd89e
# Dataset Card for "imsdb-drama-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
aneeshas/imsdb-drama-movie-scripts
[ "region:us" ]
2023-05-07T20:28:18+00:00
{"dataset_info": {"features": [{"name": "Drama", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36177505, "num_examples": 150}], "download_size": 15823464, "dataset_size": 36177505}}
2023-05-07T20:28:26+00:00
1f21097ced1dc5707bb1da79496f6f3636721938
i messed up the dataset a little but it is fine
breadlicker45/huggingface-models-15M
[ "size_categories:10M<n<100M", "region:us" ]
2023-05-07T21:09:03+00:00
{"size_categories": ["10M<n<100M"]}
2023-05-07T22:46:49+00:00
ec5c4aaf1cc9df7b8cb2e61967ac8665be138283
# Dataset Card for "Hatefulmemes_test_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CVasNLPExperiments/Hatefulmemes_test_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000
[ "region:us" ]
2023-05-07T21:49:15+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full_DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random_text", "num_bytes": 9985505, "num_examples": 1000}, {"name": "fewshot_0_clip_tags_ViT_L_14_with_openai_Attributes_ViT_L_14_descriptors_text_davinci_003_full_DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random_text", "num_bytes": 9989134, "num_examples": 1000}], "download_size": 3296730, "dataset_size": 19974639}}
2023-05-08T23:54:29+00:00
3eccca92cf1d5c31fc1340e735714fd8199c13c3
# Dataset Card for "rmh_tokenized_1024" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
stoddur/rmh_tokenized_1024
[ "region:us" ]
2023-05-07T21:53:41+00:00
{"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 74760271152, "num_examples": 5610948}], "download_size": 0, "dataset_size": 74760271152}}
2023-05-09T19:02:21+00:00
ff5d0774684a94268e535799e1c3d18c83715920
# Dataset Card for "Hatefulmemes_test_google_flan_t5_xxl_mode_C_T_A_D_PNP_FILTER_OCR_rices_ns_1000" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CVasNLPExperiments/Hatefulmemes_test_google_flan_t5_xxl_mode_C_T_A_D_PNP_FILTER_OCR_rices_ns_1000
[ "region:us" ]
2023-05-07T22:03:33+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full_DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random_text", "num_bytes": 9912317, "num_examples": 1000}], "download_size": 1648165, "dataset_size": 9912317}}
2023-05-07T22:03:39+00:00
4de7d9854fb29a00876505b1ab5bb1b3d4f0ccd8
Nyaa97/art_sr_vc1_mini1
[ "license:cc-by-sa-4.0", "region:us" ]
2023-05-07T22:28:35+00:00
{"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "id1", "dtype": "string"}, {"name": "path1", "dtype": "string"}, {"name": "audio1", "dtype": "audio"}, {"name": "id2", "dtype": "string"}, {"name": "path2", "dtype": "string"}, {"name": "audio2", "dtype": "audio"}, {"name": "same_speaker", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 33049342752.0, "num_examples": 62592}], "download_size": 4888482974, "dataset_size": 33049342752.0}}
2023-05-08T03:28:16+00:00
4caf365b37b5fd77e78f2da47ba76a0e603049bf
openaccess-ai-collective/jeopardy
[ "license:apache-2.0", "region:us" ]
2023-05-07T22:47:52+00:00
{"license": "apache-2.0"}
2023-05-07T22:54:40+00:00
d4b3c8d85e6b9e0dd4e3ba85f046a9517a847d0c
This dataset is the ShareGPT unfiltered dataset anon8231489123/ShareGPT_Vicuna_unfiltered, removing instances of blatant alignment and removes duplicates. 33714 instructions remain. clean.py was first ran on hakurei/open-instruct-v1/subsets/sharegpt_data.json and then dedupe.py was ran on it. inspired by https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to sharegpt_clean.py
ewof/sharegpt-instruct-unfiltered-deduped
[ "region:us" ]
2023-05-07T23:33:55+00:00
{}
2023-05-13T02:55:19+00:00
72f9409ae5675bb97efa3a8ecdcbc9b7926ff67e
sngsng/English_Taigi_Dict
[ "license:other", "region:us" ]
2023-05-07T23:45:48+00:00
{"license": "other"}
2023-05-07T23:51:33+00:00
8570522991d8020bb48ef321d61f5302b07c5d5b
Jiefuo/hierarchical-event-grounding
[ "license:cc-by-4.0", "region:us" ]
2023-05-07T23:57:44+00:00
{"license": "cc-by-4.0"}
2023-08-23T04:18:48+00:00
cd223913359f79a4df8fc72eac193bd34febac60
cqlizhijun/ks
[ "license:mit", "region:us" ]
2023-05-08T00:57:19+00:00
{"license": "mit"}
2023-05-08T01:34:15+00:00
26d150efc9facce318f58048035feb312f088ec9
# Dataset Card for "VQAv2_test_0" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Multimodal-Fatima/VQAv2_test_0
[ "region:us" ]
2023-05-08T01:32:20+00:00
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float64"}, {"name": "captions_module", "sequence": "string"}, {"name": "captions_module_filter", "sequence": "string"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float64"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}], "splits": [{"name": "test", "num_bytes": 18342188870.0, "num_examples": 89559}], "download_size": 3712845177, "dataset_size": 18342188870.0}}
2023-05-08T15:40:18+00:00
dff8953491aba52965a6c77f9eed2d38e860a2dc
cezar-dan-licenta-2023/RoCoLe-Variants
[ "region:us" ]
2023-05-08T01:34:55+00:00
{"dataset_info": [{"config_name": "original", "features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "healthy", "1": "red_spider_mite", "2": "rust_mild", "3": "rust_medium", "4": "rust_severe"}}}}], "splits": [{"name": "train", "num_bytes": 12381788, "num_examples": 936}, {"name": "validation", "num_bytes": 4157145, "num_examples": 312}, {"name": "test", "num_bytes": 4136740, "num_examples": 312}], "download_size": 21824000, "dataset_size": 20675673}, {"config_name": "no-background", "features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "healthy", "1": "red_spider_mite", "2": "rust_mild", "3": "rust_medium", "4": "rust_severe"}}}}], "splits": [{"name": "train", "num_bytes": 12381788, "num_examples": 936}, {"name": "validation", "num_bytes": 4157145, "num_examples": 312}, {"name": "test", "num_bytes": 4136740, "num_examples": 312}], "download_size": 21824000, "dataset_size": 20675673}]}
2023-06-11T22:05:51+00:00
52519e000148e9dafda116adaa780f748c06ebb6
# Dataset Card for "VQAv2_test_1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Multimodal-Fatima/VQAv2_test_1
[ "region:us" ]
2023-05-08T01:36:08+00:00
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14281937464.0, "num_examples": 89559}], "download_size": 2695014507, "dataset_size": 14281937464.0}}
2023-05-08T01:39:51+00:00
2cb81b5d5bbd4201250290d4649b44cc7b86c99f
# Dataset Card for "VQAv2_test_2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Multimodal-Fatima/VQAv2_test_2
[ "region:us" ]
2023-05-08T01:39:52+00:00
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14214582779.0, "num_examples": 89559}], "download_size": 2707843217, "dataset_size": 14214582779.0}}
2023-05-08T01:43:22+00:00
f91e6ccc6b389f348d1a46f741ddd11222beaebc
# Dataset Card for "VQAv2_test_3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Multimodal-Fatima/VQAv2_test_3
[ "region:us" ]
2023-05-08T01:43:22+00:00
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14231060869.0, "num_examples": 89558}], "download_size": 2658978296, "dataset_size": 14231060869.0}}
2023-05-08T01:46:55+00:00
02a174049f14ad8630c2180a0c5606af98c6df17
# Dataset Card for "VQAv2_test_4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Multimodal-Fatima/VQAv2_test_4
[ "region:us" ]
2023-05-08T01:46:55+00:00
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14238048457.0, "num_examples": 89558}], "download_size": 2688195544, "dataset_size": 14238048457.0}}
2023-05-08T01:50:26+00:00
aff1fb242de94e65deacc30693679f532be284df
# Dataset Card for "ag_news" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/ag_news
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T01:57:48+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "World", "1": "Sports", "2": "Business", "3": "Sci/Tech"}}}}], "splits": [{"name": "test", "num_bytes": 250023, "num_examples": 1000}], "download_size": 0, "dataset_size": 250023}}
2023-12-24T03:34:03+00:00
4d3c6bff13fd8bd310d0bd1c3f96f30dac7176f4
# Dataset Card for "glue-sst2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/glue-sst2
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:07+00:00
{"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, {"name": "idx", "dtype": "int32"}], "splits": [{"name": "validation", "num_bytes": 106252, "num_examples": 872}], "download_size": 0, "dataset_size": 106252}}
2023-12-24T03:33:32+00:00
9d62f8d9b35b18ef66186b75b258b290af154acb
# Dataset Card for "imdb" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/imdb
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:09+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "neg", "1": "pos"}}}}], "splits": [{"name": "test", "num_bytes": 1227704, "num_examples": 1000}], "download_size": 0, "dataset_size": 1227704}}
2023-12-24T03:33:47+00:00
60c6189fd2a1628943f5c005e4259065a3ba01fb
# Dataset Card for "newspop" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/newspop
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:10+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "headline", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "publish_date", "dtype": "string"}, {"name": "facebook", "dtype": "int32"}, {"name": "google_plus", "dtype": "int32"}, {"name": "linked_in", "dtype": "int32"}], "splits": [{"name": "train", "num_bytes": 295250, "num_examples": 1000}], "download_size": 0, "dataset_size": 295250}}
2023-12-24T03:33:03+00:00
83bd39c17178fc67cd30631e2d0657fa371562a0
# Dataset Card for "glue-rte" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/glue-rte
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:11+00:00
{"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "not_entailment"}}}}, {"name": "idx", "dtype": "int32"}], "splits": [{"name": "validation", "num_bytes": 90728, "num_examples": 277}], "download_size": 0, "dataset_size": 90728}}
2023-12-24T03:33:17+00:00
27ac96f7f337779f155d81994312ee46e90de8ca
# Dataset Card for "super_glue-cb" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/super_glue-cb
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:12+00:00
{"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "idx", "dtype": "int32"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "contradiction", "2": "neutral"}}}}], "splits": [{"name": "validation", "num_bytes": 21851, "num_examples": 56}], "download_size": 0, "dataset_size": 21851}}
2023-12-24T03:32:51+00:00
fc80e5f85f2b6f6ab13e9a50d7e0b8c9b7ce09c8
# Dataset Card for "super_glue-copa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/super_glue-copa
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:14+00:00
{"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "choice1", "dtype": "string"}, {"name": "choice2", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "idx", "dtype": "int32"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "choice1", "1": "choice2"}}}}], "splits": [{"name": "validation", "num_bytes": 12479, "num_examples": 100}], "download_size": 0, "dataset_size": 12479}}
2023-12-24T03:31:28+00:00
11b64d908195546617549f04dc304c6a354271dd
# Dataset Card for "hellaswag" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/hellaswag
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:15+00:00
{"dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "endings", "sequence": "string"}, {"name": "source_id", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "split_type", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 1119578, "num_examples": 1000}], "download_size": 0, "dataset_size": 1119578}}
2023-12-24T03:32:37+00:00
cc1851138bf8b5b4a0c7003033652fe57dbe62a9
# Dataset Card for "tweet_eval-emotion" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/tweet_eval-emotion
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:17+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "anger", "1": "joy", "2": "optimism", "3": "sadness"}}}}], "splits": [{"name": "test", "num_bytes": 103375, "num_examples": 1000}], "download_size": 0, "dataset_size": 103375}}
2023-12-24T03:30:41+00:00
96b86cfdbefab0c0b1949708ca09e3a93191a173
# Dataset Card for "tweet_eval-irony" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/tweet_eval-irony
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:18+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "non_irony", "1": "irony"}}}}], "splits": [{"name": "test", "num_bytes": 75897, "num_examples": 784}], "download_size": 0, "dataset_size": 75897}}
2023-12-24T03:30:59+00:00
f4aba4986b885626810093ce71b305dabf9419dc
# Dataset Card for "SetFit-sst5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/SetFit-sst5
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:19+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 128571, "num_examples": 1000}], "download_size": 0, "dataset_size": 128571}}
2023-12-24T03:31:11+00:00
fc620656032af01b5b2c749914de08aadc18c685
# Dataset Card for "piqa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/piqa
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:20+00:00
{"dataset_info": {"features": [{"name": "goal", "dtype": "string"}, {"name": "sol1", "dtype": "string"}, {"name": "sol2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}], "splits": [{"name": "validation", "num_bytes": 262619, "num_examples": 1000}], "download_size": 0, "dataset_size": 262619}}
2023-12-24T03:30:20+00:00
9be4ae8e83974714f9ad36fe5d7fe18d8b6f1099
# Dataset Card for "story_cloze-2016" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
gimmaru/story_cloze-2016
[ "arxiv:2305.14877", "region:us" ]
2023-05-08T02:00:22+00:00
{"dataset_info": {"features": [{"name": "story_id", "dtype": "string"}, {"name": "input_sentence_1", "dtype": "string"}, {"name": "input_sentence_2", "dtype": "string"}, {"name": "input_sentence_3", "dtype": "string"}, {"name": "input_sentence_4", "dtype": "string"}, {"name": "sentence_quiz1", "dtype": "string"}, {"name": "sentence_quiz2", "dtype": "string"}, {"name": "answer_right_ending", "dtype": "int32"}], "splits": [{"name": "test", "num_bytes": 326264, "num_examples": 1000}], "download_size": 0, "dataset_size": 326264}}
2023-12-24T03:29:54+00:00
963dcc148f66b88ce352e735e64592e7842a9e61
# Dataset Card for "covid-qa-squad" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
parsa-mz/covid-qa-squad
[ "region:us" ]
2023-05-08T02:06:49+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48698233, "num_examples": 1417}, {"name": "validation", "num_bytes": 4320948, "num_examples": 203}, {"name": "test", "num_bytes": 11620291, "num_examples": 375}], "download_size": 2248635, "dataset_size": 64639472}}
2023-05-08T02:06:55+00:00
825370bbb85f1d83caebeb74774ce155f8c75ddc
# Dataset Card for "baroque_0" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jlbaker361/baroque_0
[ "region:us" ]
2023-05-08T02:59:03+00:00
{"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "name", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6514415.303, "num_examples": 4143}], "download_size": 4150451, "dataset_size": 6514415.303}}
2023-05-08T02:59:07+00:00
8b35814be910dedc765cb6a4e13af9433c8cd35a
mio/steinsgate0
[ "license:cc", "region:us" ]
2023-05-08T03:02:06+00:00
{"license": "cc"}
2023-06-05T15:23:28+00:00
41a0aac64e44fe918ed53bb4985185dd7467cbfd
# Dataset Card for "spanish_sentences" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ittailup/spanish_sentences
[ "region:us" ]
2023-05-08T03:02:40+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 363525, "num_examples": 5821}, {"name": "validation", "num_bytes": 42626, "num_examples": 647}], "download_size": 0, "dataset_size": 406151}}
2023-05-08T22:22:17+00:00
d5a9c80af4eed29005524746e3f5b47830ee6fb9
# Dataset Card for "baroque_1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jlbaker361/baroque_1
[ "region:us" ]
2023-05-08T03:02:45+00:00
{"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "name", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6195104.303, "num_examples": 4143}], "download_size": 4024679, "dataset_size": 6195104.303}}
2023-05-08T03:02:49+00:00
f51207d6598d535973f4688cba5baf5256379361
# Dataset Card for "medmcqa-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/medmcqa-original-neg
[ "region:us" ]
2023-05-08T03:19:36+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": {"class_label": {"names": {"0": "a", "1": "b", "2": "c", "3": "d"}}}}, {"name": "choice_type", "dtype": "string"}, {"name": "exp", "dtype": "string"}, {"name": "subject_name", "dtype": "string"}, {"name": "topic_name", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 366432.0631125986, "num_examples": 690}], "download_size": 292370, "dataset_size": 366432.0631125986}}
2023-05-08T03:19:42+00:00
6f4ca7b2b0f31c922b037862d24f3b93d9d7e06f
# Dataset Card for "art_sr_vc1_mini2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Nyaa97/art_sr_vc1_mini2
[ "region:us" ]
2023-05-08T03:28:16+00:00
{"dataset_info": {"features": [{"name": "id1", "dtype": "string"}, {"name": "path1", "dtype": "string"}, {"name": "audio1", "dtype": "audio"}, {"name": "id2", "dtype": "string"}, {"name": "path2", "dtype": "string"}, {"name": "audio2", "dtype": "audio"}, {"name": "same_speaker", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 32511478695.84, "num_examples": 62587}], "download_size": 5172818625, "dataset_size": 32511478695.84}}
2023-05-08T14:00:29+00:00
d3c09b05e2abccbf93c03767ded134e077109a9b
# Dataset Card for "na-ve-art-primitivism" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jlbaker361/na-ve-art-primitivism
[ "region:us" ]
2023-05-08T03:39:14+00:00
{"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "style", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 65503646.137, "num_examples": 32097}], "download_size": 49391264, "dataset_size": 65503646.137}}
2023-05-08T04:00:40+00:00
b9c84969cd8aed8476ea5b8f40c1e738eba6d2fc
# Dataset Card for "medmcqa-original-neg-rule-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/medmcqa-original-neg-rule-neg-prepend
[ "region:us" ]
2023-05-08T03:46:04+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": {"class_label": {"names": {"0": "a", "1": "b", "2": "c", "3": "d"}}}}, {"name": "choice_type", "dtype": "string"}, {"name": "exp", "dtype": "string"}, {"name": "subject_name", "dtype": "string"}, {"name": "topic_name", "dtype": "string"}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 544885, "num_examples": 690}], "download_size": 354406, "dataset_size": 544885}}
2023-05-16T03:32:38+00:00
b8fa73496e1c9773b281c487c47bda2c30a114e6
# Dataset Card for "mmlu-abstract_algebra-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-abstract_algebra-original-neg
[ "region:us" ]
2023-05-08T04:19:46+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1352.12, "num_examples": 7}], "download_size": 3607, "dataset_size": 1352.12}}
2023-05-08T04:19:50+00:00
ec508e734d33c5e0fb21c5beeb461d2ac8429ae9
# Dataset Card for "mmlu-anatomy-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-anatomy-original-neg
[ "region:us" ]
2023-05-08T04:19:52+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1471.5111111111112, "num_examples": 6}], "download_size": 3885, "dataset_size": 1471.5111111111112}}
2023-05-08T04:19:56+00:00
4b538175a153b0455061126e8d342fd219ccd2e7
# Dataset Card for "mmlu-astronomy-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-astronomy-original-neg
[ "region:us" ]
2023-05-08T04:19:59+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 7690.625, "num_examples": 25}], "download_size": 7773, "dataset_size": 7690.625}}
2023-05-08T04:20:02+00:00
57edc7fc3b3c7ed189f788fa07e35561b527fdd5
# Dataset Card for "mmlu-business_ethics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-business_ethics-original-neg
[ "region:us" ]
2023-05-08T04:20:05+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3988.8, "num_examples": 12}], "download_size": 6402, "dataset_size": 3988.8}}
2023-05-08T04:20:09+00:00
2d84471ad3931f628b9f602e521f450bb22a5956
# Dataset Card for "mmlu-clinical_knowledge-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-clinical_knowledge-original-neg
[ "region:us" ]
2023-05-08T04:20:12+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5682.294339622642, "num_examples": 24}], "download_size": 6172, "dataset_size": 5682.294339622642}}
2023-05-08T04:20:15+00:00
285d006e87be4d70e36cabb09ec8c82c1957f48d
# Dataset Card for "mmlu-college_biology-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_biology-original-neg
[ "region:us" ]
2023-05-08T04:20:18+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9147.1875, "num_examples": 27}], "download_size": 7857, "dataset_size": 9147.1875}}
2023-05-08T04:20:22+00:00
862dec3f38e11d77a737efb00b16b98c0c57b285
# Dataset Card for "mmlu-college_chemistry-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_chemistry-original-neg
[ "region:us" ]
2023-05-08T04:20:25+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2222.64, "num_examples": 9}], "download_size": 4565, "dataset_size": 2222.64}}
2023-05-08T04:20:28+00:00
88989dedc57341b3307c4eced74164e58d2a73ba
# Dataset Card for "mmlu-college_computer_science-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_computer_science-original-neg
[ "region:us" ]
2023-05-08T04:20:31+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 12788.7, "num_examples": 30}], "download_size": 12204, "dataset_size": 12788.7}}
2023-05-08T04:20:35+00:00
98c5211e36d32925e08f050640a042710f3aa717
# Dataset Card for "mmlu-college_mathematics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_mathematics-original-neg
[ "region:us" ]
2023-05-08T04:20:38+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3704.85, "num_examples": 15}], "download_size": 5846, "dataset_size": 3704.85}}
2023-05-08T04:20:41+00:00
acabff703a52b1feefc59c5a65591566f99c9bd8
# Dataset Card for "mmlu-college_medicine-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_medicine-original-neg
[ "region:us" ]
2023-05-08T04:20:45+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 15715.057803468208, "num_examples": 33}], "download_size": 17424, "dataset_size": 15715.057803468208}}
2023-05-08T04:20:49+00:00
cd06a3b4bba9c8dbe740ac035b53a895ed3b2c2d
# Dataset Card for "mmlu-college_physics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_physics-original-neg
[ "region:us" ]
2023-05-08T04:20:52+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 4436.617647058823, "num_examples": 15}], "download_size": 5989, "dataset_size": 4436.617647058823}}
2023-05-08T04:20:56+00:00
fae3e38e50e79478ca8d7f507be8ff1ab0ca7a5a
# Dataset Card for "mmlu-computer_security-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-computer_security-original-neg
[ "region:us" ]
2023-05-08T04:20:59+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 4609.04, "num_examples": 17}], "download_size": 6084, "dataset_size": 4609.04}}
2023-05-08T04:21:02+00:00
d1e1be81a31f79d2d5e6bf070575aaa35ebae5bd
# Dataset Card for "mmlu-conceptual_physics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-conceptual_physics-original-neg
[ "region:us" ]
2023-05-08T04:21:06+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2597.68085106383, "num_examples": 15}], "download_size": 4937, "dataset_size": 2597.68085106383}}
2023-05-08T04:21:09+00:00
78ba14dbdf5ba50fe1fce1f2b61e21580d9ae581
# Dataset Card for "mmlu-econometrics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-econometrics-original-neg
[ "region:us" ]
2023-05-08T04:21:12+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9796.842105263158, "num_examples": 24}], "download_size": 9068, "dataset_size": 9796.842105263158}}
2023-05-08T04:21:17+00:00
917428c83bbf09e72db9816570910922550cf14b
# Dataset Card for "mmlu-electrical_engineering-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-electrical_engineering-original-neg
[ "region:us" ]
2023-05-08T04:21:20+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 866.551724137931, "num_examples": 5}], "download_size": 3129, "dataset_size": 866.551724137931}}
2023-05-08T04:21:24+00:00
c7eee1f7c51ec52ec0680da42b4e598ae4c73bc0
# Dataset Card for "mmlu-elementary_mathematics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-elementary_mathematics-original-neg
[ "region:us" ]
2023-05-08T04:21:28+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2596.1481481481483, "num_examples": 14}], "download_size": 4594, "dataset_size": 2596.1481481481483}}
2023-05-08T04:21:32+00:00
310cb2f9da465491578a3a001532336ff42095a0
# Dataset Card for "mmlu-formal_logic-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-formal_logic-original-neg
[ "region:us" ]
2023-05-08T04:21:35+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 12245.738095238095, "num_examples": 31}], "download_size": 9150, "dataset_size": 12245.738095238095}}
2023-05-08T04:21:38+00:00
66f15c0062804e6e318ca6a77cbc2f323cc3bdc7
# Dataset Card for "mmlu-global_facts-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-global_facts-original-neg
[ "region:us" ]
2023-05-08T04:21:41+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1655.19, "num_examples": 9}], "download_size": 4209, "dataset_size": 1655.19}}
2023-05-08T04:21:44+00:00
91ff4b8a0b385dc01d775ab4f93bad7974e7b81e
# Dataset Card for "mmlu-high_school_biology-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_biology-original-neg
[ "region:us" ]
2023-05-08T04:21:49+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 24421.548387096773, "num_examples": 69}], "download_size": 18136, "dataset_size": 24421.548387096773}}
2023-05-08T04:21:53+00:00
b5b86f7e32b5289d7394c4dfff7af391cff52a76
# Dataset Card for "mmlu-high_school_chemistry-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_chemistry-original-neg
[ "region:us" ]
2023-05-08T04:21:56+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5758.817733990148, "num_examples": 20}], "download_size": 6662, "dataset_size": 5758.817733990148}}
2023-05-08T04:21:59+00:00
1233eb887f82eaf6112bc6500e48b8d84f11ab86
# Dataset Card for "mmlu-high_school_computer_science-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_computer_science-original-neg
[ "region:us" ]
2023-05-08T04:22:02+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 6669.6, "num_examples": 15}], "download_size": 12013, "dataset_size": 6669.6}}
2023-05-08T04:22:05+00:00
9839efef42146271b56e8b0bd0508abcd95482e4
# Dataset Card for "mmlu-high_school_european_history-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_european_history-original-neg
[ "region:us" ]
2023-05-08T04:22:12+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 229335.27272727274, "num_examples": 140}], "download_size": 134018, "dataset_size": 229335.27272727274}}
2023-05-08T04:22:16+00:00
88b26e4710a4696e9540761702462528b88d625e
# Dataset Card for "mmlu-high_school_geography-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_geography-original-neg
[ "region:us" ]
2023-05-08T04:22:20+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9974.919191919193, "num_examples": 47}], "download_size": 9682, "dataset_size": 9974.919191919193}}
2023-05-08T04:22:23+00:00
b0f9c7c6af0ebdd6dcb81aea02ee507270902dd7
# Dataset Card for "mmlu-high_school_government_and_politics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_government_and_politics-original-neg
[ "region:us" ]
2023-05-08T04:22:26+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 11980.155440414508, "num_examples": 35}], "download_size": 10606, "dataset_size": 11980.155440414508}}
2023-05-08T04:22:30+00:00
c21acddac360e1edf32fcf13316d87bc6bf0396e
# Dataset Card for "mmlu-high_school_macroeconomics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_macroeconomics-original-neg
[ "region:us" ]
2023-05-08T04:22:34+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10258.846153846154, "num_examples": 34}], "download_size": 7960, "dataset_size": 10258.846153846154}}
2023-05-08T04:22:37+00:00
3fd255babb16436417f1045057021bdaf68c706f
# Dataset Card for "mmlu-high_school_mathematics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_mathematics-original-neg
[ "region:us" ]
2023-05-08T04:22:41+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5890.437037037037, "num_examples": 29}], "download_size": 8892, "dataset_size": 5890.437037037037}}
2023-05-08T04:22:45+00:00
f95d561aeab73e5c67298f33d1f11f01a9a099b6
# Dataset Card for "mmlu-high_school_microeconomics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_microeconomics-original-neg
[ "region:us" ]
2023-05-08T04:22:49+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10494.970588235294, "num_examples": 33}], "download_size": 9119, "dataset_size": 10494.970588235294}}
2023-05-08T04:22:52+00:00
c35ac4398b47c084cad6eb799b8678f70e73ed4a
# Dataset Card for "mmlu-high_school_physics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_physics-original-neg
[ "region:us" ]
2023-05-08T04:22:55+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 11432.14569536424, "num_examples": 29}], "download_size": 10218, "dataset_size": 11432.14569536424}}
2023-05-08T04:22:59+00:00
00e53bf1f86426d4b2986c60d9baf9e55abe57fb
# Dataset Card for "mmlu-high_school_psychology-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_psychology-original-neg
[ "region:us" ]
2023-05-08T04:23:04+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 23104.963302752294, "num_examples": 79}], "download_size": 23403, "dataset_size": 23104.963302752294}}
2023-05-08T04:23:07+00:00
57be3c104d9ae2ef87090bfcab3065c3959a3a35
# Dataset Card for "mmlu-high_school_statistics-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_statistics-original-neg
[ "region:us" ]
2023-05-08T04:23:11+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 25110.23148148148, "num_examples": 49}], "download_size": 19249, "dataset_size": 25110.23148148148}}
2023-05-08T04:23:15+00:00
9585318d0ff01ab47dc0440b1d724d7905b16522
# Dataset Card for "mmlu-high_school_us_history-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_us_history-original-neg
[ "region:us" ]
2023-05-08T04:23:22+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 261813.5294117647, "num_examples": 180}], "download_size": 138640, "dataset_size": 261813.5294117647}}
2023-05-08T04:23:26+00:00
878217829398c018ad24f383d4e2b2edbeefcd47
# Dataset Card for "mmlu-high_school_world_history-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-high_school_world_history-original-neg
[ "region:us" ]
2023-05-08T04:23:50+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 327485.3375527426, "num_examples": 205}], "download_size": 179172, "dataset_size": 327485.3375527426}}
2023-05-08T04:23:54+00:00
ed3987151989cf858378a84362ab25eda3f0e111
# Dataset Card for "mmlu-human_aging-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-human_aging-original-neg
[ "region:us" ]
2023-05-08T04:23:57+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 6406.5739910313905, "num_examples": 31}], "download_size": 6828, "dataset_size": 6406.5739910313905}}
2023-05-08T04:24:00+00:00
61e8845dc3335b28fa8f556834e03f111ed86e45
# Dataset Card for "mmlu-human_sexuality-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-human_sexuality-original-neg
[ "region:us" ]
2023-05-08T04:24:03+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3185.297709923664, "num_examples": 13}], "download_size": 6364, "dataset_size": 3185.297709923664}}
2023-05-08T04:24:07+00:00
e71ea53d231e52052c7c18543e0e5cf6c2404d37
# Dataset Card for "mmlu-international_law-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-international_law-original-neg
[ "region:us" ]
2023-05-08T04:24:09+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2211.528925619835, "num_examples": 5}], "download_size": 4403, "dataset_size": 2211.528925619835}}
2023-05-08T04:24:13+00:00
05f1cbed2b067afc18513c24e0164125e3efbe96
# Dataset Card for "mmlu-jurisprudence-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-jurisprudence-original-neg
[ "region:us" ]
2023-05-08T04:24:16+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2202.0185185185187, "num_examples": 7}], "download_size": 5697, "dataset_size": 2202.0185185185187}}
2023-05-08T04:24:19+00:00
74903d6850dec1ca20dfca8845a11b02022454aa
# Dataset Card for "mmlu-logical_fallacies-original-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-logical_fallacies-original-neg
[ "region:us" ]
2023-05-08T04:24:22+00:00
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10758.742331288344, "num_examples": 35}], "download_size": 8694, "dataset_size": 10758.742331288344}}
2023-05-08T04:24:25+00:00