id
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115
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bool 1
class | tags
sequence | description
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5.93k
⌀ | downloads
int64 0
1.14M
| likes
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1.79k
|
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JIsanan/war-ceb-wikipedia | false | [] | null | 267 | 0 |
Jack0508/TED2020_kor | false | [] | null | 267 | 0 |
Jack0508/TED2020_vi | false | [] | null | 267 | 0 |
Jack0508/TED2020vi_kor | false | [] | null | 267 | 0 |
Jack0508/demo | false | [] | null | 267 | 0 |
Jack0508/eng_vi_demo | false | [] | null | 135 | 0 |
Jack0508/test | false | [] | null | 267 | 0 |
Jack0508/vi-ko-TED-txt | false | [] | null | 267 | 0 |
Jean-Baptiste/wikiner_fr | false | [
"language:fr"
] | null | 608 | 2 |
Jeska/autonlp-data-vaccinfaq | false | [
"task_categories:text-classification"
] | null | 265 | 0 |
Jeska/vaccinchat | false | [] | null | 267 | 0 |
JesseParvess/book_snippets_asr | false | [] | null | 267 | 0 |
Jiejie/asr_book_lm | false | [] | null | 267 | 0 |
LysandreJik/demo1 | false | [] | null | 267 | 0 |
LysandreJik/demo2 | false | [] | null | 267 | 0 |
LysandreJik/demo3 | false | [] | null | 267 | 0 |
LysandreJik/demo4 | false | [] | null | 267 | 0 |
LysandreJik/glue-mnli-train | false | [] | null | 773 | 0 |
LysandreJik/push-to-hub | false | [] | null | 267 | 0 |
LysandreJik/pushe-to-hub | false | [] | null | 267 | 0 |
LysandreJik/pushed-to-hub | false | [] | null | 267 | 0 |
LysandreJik/pushedd-to-hub | false | [] | null | 267 | 0 |
LysandreJik/random_repo | false | [] | null | 267 | 0 |
LysandreJik/stargazers | false | [] | null | 135 | 0 |
LysandreJik/temp-repo-valid | false | [] | null | 135 | 0 |
LysandreJik/test-16336477963335 | false | [] | null | 267 | 0 |
LysandreJik/test-16336478042515 | false | [] | null | 267 | 0 |
LysandreJik/test-16336479967338 | false | [] | null | 267 | 0 |
LysandreJik/test-16336480189315 | false | [] | null | 267 | 0 |
LysandreJik/test-16336486877862 | false | [] | null | 265 | 0 |
LysandreJik/test-16340052901609 | false | [] | null | 267 | 0 |
LysandreJik/test-16340052972855 | false | [] | null | 267 | 0 |
LysandreJik/test-16344347220590 | false | [] | null | 135 | 0 |
LysandreJik/test-16344347234752 | false | [] | null | 135 | 0 |
LysandreJik/test-16344349332219 | false | [] | null | 267 | 0 |
LysandreJik/test-16344349440339 | false | [] | null | 267 | 0 |
LysandreJik/test-16344351925697 | false | [] | null | 135 | 0 |
LysandreJik/test-16344360501144 | false | [] | null | 267 | 0 |
LysandreJik/test-16344361893586 | false | [] | null | 267 | 0 |
LysandreJik/test-16344362261113 | false | [] | null | 267 | 0 |
LysandreJik/test-16344362895458 | false | [] | null | 267 | 0 |
LysandreJik/test-16344364230608 | false | [] | null | 267 | 0 |
LysandreJik/test-16344364547167 | false | [] | null | 267 | 0 |
LysandreJik/test-16344367190179 | false | [] | null | 267 | 0 |
LysandreJik/test-16344368182003 | false | [] | null | 267 | 0 |
JonathanSum/en_corpora_parliament_processed | false | [] | null | 267 | 0 |
JonathanSum/github-issues | false | [] | null | 267 | 0 |
JonathanSum/sv_corpora_parliament_processed | false | [] | null | 267 | 0 |
JustinE/Test | false | [] | null | 135 | 0 |
KBLab/overlim | false | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-classification",
"task_ids:sentiment-classification",
"task_ids:text-scoring",
"annotations_creators:other",
"language_creators:other",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:extended|glue",
"source_datasets:extended|super_glue",
"language:sv",
"language:da",
"language:nb",
"license:cc-by-4.0",
"qa-nli",
"paraphrase-identification"
] | \ | 4,536 | 3 |
KBLab/sucx3_ner | false | [
"task_categories:other",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:sv",
"license:cc-by-4.0",
"structure-prediction"
] | The dataset is a conversion of the venerable SUC 3.0 dataset into the
huggingface ecosystem. The original dataset does not contain an official
train-dev-test split, which is introduced here; the tag distribution for the
NER tags between the three splits is mostly the same.
The dataset has three different types of tagsets: manually annotated POS,
manually annotated NER, and automatically annotated NER. For the
automatically annotated NER tags, only sentences were chosen, where the
automatic and manual annotations would match (with their respective
categories).
Additionally we provide remixes of the same data with some or all sentences
being lowercased. | 1,010 | 1 |
KETI-AIR/aihub | false | [] | 267 | 0 |
|
KETI-AIR/klue | false | [] | null | 1,719 | 0 |
KETI-AIR/kor_corpora | false | [] | null | 1,464 | 0 |
KETI-AIR/korquad | false | [] | KorQuAD1.0 | 1,232 | 0 |
KETI-AIR/nikl | false | [] | Description is **formatted** as markdown.
It should also contain any processing which has been applied (if any),
(e.g. corrupted example skipped, images cropped,...): | 135 | 0 |
KTH/martin | false | [] | null | 267 | 0 |
KTH/nst | false | [
"task_categories:automatic-speech-recognition",
"language:sv",
"license:cc0-1.0"
] | This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in a specific folder structure where the folder names were meaningful. However, the file names were not meaningful, and there were also cases of files with identical names in different folders. This proved to be impractical, since users had to keep the original folder structure in order to use the data. The files have been renamed, such that the file names are unique and meaningful regardless of the folder structure. The original metadata files were in spl format. These have been converted to JSON format. The converted metadata files are also anonymized and the text encoding has been converted from ANSI to UTF-8. | 264 | 0 |
KTH/speechdat | false | [] | Speechdat dataset | 265 | 0 |
KTH/waxholm | false | [] | The Waxholm corpus was collected in 1993 - 1994 at the department of Speech, Hearing and Music (TMH), KTH. | 135 | 0 |
Karavet/ARPA-Armenian-Paraphrase-Corpus | false | [
"multilinguality:monolingual",
"language:hy",
"arxiv:2009.12615"
] | null | 265 | 0 |
Karavet/ILUR-news-text-classification-corpus | false | [
"task_categories:text-classification",
"multilinguality:monolingual",
"language:hy",
"license:apache-2.0"
] | null | 265 | 0 |
Karavet/pioNER-Armenian-Named-Entity | false | [
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:hy",
"license:apache-2.0"
] | null | 133 | 1 |
Khanoooo/autonlp-data-Corona | false | [] | null | 267 | 0 |
khondoker/SentNoB | false | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:bn"
] | null | 0 | 0 |
Kili/plastic_in_river | false | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"source_datasets:original",
"other-object-detection"
] | This dataset contains photos of rivers on which there may be waste. The waste items are annotated
through bounding boxes, and are assigned to one of the 4 following categories: plastic bottle, plastic bag,
another plastic waste, or non-plastic waste. Note that some photos may not contain any waste. | 277 | 12 |
Kira-Asimov/gender_clinical_trial | false | [] | null | 266 | 1 |
LIAMF-USP/arc-retrieval-c4 | false | [] | A combined ARC/ARC-Easy/OBQA/RegLivEnv train/dev/test sets,
along with associated retrieved contexts from the full corpus.
The "para" field for each answer choice is the retrieved context,
typically 10 sentences ordered such that the one with highest IR
score comes last | 266 | 0 |
Langame/starter | false | [
"task_categories:text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:mit"
] | null | 136 | 0 |
Langame/waiting-messages | false | [] | null | 267 | 0 |
Language/Fren | false | [] | null | 267 | 0 |
Lenn/github-issues | false | [] | null | 135 | 0 |
LeoCordoba/CC-NEWS-ES-titles | false | [
"task_categories:summarization",
"task_categories:text-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:cc-news",
"language:es",
"license:mit",
"conditional-text-generation"
] | null | 270 | 1 |
LeoCordoba/CC-NEWS-ES | false | [
"task_categories:summarization",
"task_categories:text-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"size_categories:1M<n<10M",
"source_datasets:cc-news",
"language:es",
"license:mit",
"conditional-text-generation"
] | null | 2,754 | 2 |
LeverageX/book-summarization | false | [] | Korean Book Summarization Data | 274 | 0 |
LeverageX/klue-mrc | false | [] | Klue Machine Reading Comprehension Data | 267 | 0 |
LeverageX/klue-re | false | [] | Klue Relation Extraction Data | 267 | 0 |
Linda/test1111 | false | [] | null | 135 | 0 |
Llamacha/monolingual-quechua-iic | false | [
"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<5M",
"source_datasets:original",
"language:qu",
"license:apache-2.0"
] | null | 267 | 0 |
LoganKells/amazon_product_reviews_video_games | false | [] | null | 286 | 1 |
Lucylulu/amazon | false | [] | null | 265 | 0 |
Lucylulu/imdb | false | [] | null | 268 | 0 |
LuisG07/es_corpora_parliament_processed | false | [] | null | 267 | 0 |
Lumos/yahoo_hga | false | [] | null | 135 | 0 |
MBAH/MOVIESON | false | [] | null | 134 | 0 |
MKK/Dhivehi-English | false | [] | null | 135 | 0 |
Mahalakshmi/ta_lm_processed | false | [] | null | 267 | 0 |
Mansooreh/sharif-emotional-speech-dataset | false | [
"arxiv:1906.01155"
] | null | 276 | 0 |
MarianaSahagun/test | false | [] | null | 135 | 0 |
MarkusDressel/cord | false | [] | https://github.com/clovaai/cord | 152 | 0 |
Marzipan/QA4PC | false | [] | null | 135 | 0 |
McGill-NLP/mlquestions | false | [] | null | 291 | 0 |
Mcy/random_uselesstestsequence | false | [] | null | 267 | 0 |
Melinoe/TheLabTexts | false | [] | null | 135 | 0 |
MickyMike/large_c_corpus | false | [] | null | 266 | 0 |
Motahar/github-issues | false | [
"task_categories:text-retrieval",
"task_categories:text-classification",
"task_ids:document-retrieval",
"task_ids:multi-label-classification",
"task_ids:multi-class-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:unknown"
] | null | 265 | 0 |
Mrleo1nid/Test_ru_dataset | false | [] | null | 135 | 0 |
Mulin/my_third_dataset | false | [] | null | 267 | 0 |
NLPC-UOM/Sinhala-Stopword-list | false | [
"language:si",
"license:mit"
] | null | 133 | 0 |
NTUYG/RAGTest | false | [] | null | 267 | 0 |
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