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list | description
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5.93k
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1.14M
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1.79k
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|---|---|---|---|---|---|
Lumos/imdb_test | false | [
"license:apache-2.0"
]
| null | 0 | 0 |
AntoineLB/FrozenLakeFrozen | false | []
| null | 0 | 0 |
pietrolesci/fracas | false | []
| null | 12 | 0 |
loretoparisi/tatoeba-sentences | false | [
"license:cc-by-2-0"
]
| null | 1 | 1 |
pietrolesci/scitail | false | []
| null | 0 | 0 |
taln-ls2n/termith-eval | false | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:multilingual",
"size_categories:n<1K",
"language:fr",
"license:cc-by-4.0"
]
| TermITH-Eval benchmark dataset for keyphrase extraction an generation. | 0 | 1 |
cfilt/HiNER-collapsed | false | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:hi",
"license:cc-by-sa-4.0",
"arxiv:2204.13743"
]
| This is the repository for HiNER - a large Hindi Named Entity Recognition dataset. | 5 | 0 |
surrey-nlp/SDU-test | false | [
"license:cc-by-sa-4.0"
]
| This is the dataset repository for SDU Dataset from SDU workshop at AAAI22.
The dataset can help build sequence labelling models for the task Abbreviation Detection. | 0 | 0 |
multiIR/multi2016-9 | false | []
| null | 0 | 0 |
taln-ls2n/semeval-2010-pre | false | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:cc-by-4.0"
]
| Preprocessed SemEval-2010 Benchmark dataset for Keyphrase Generation. | 5 | 1 |
pietrolesci/mpe | false | []
| null | 104 | 0 |
princeton-nlp/wikibook_fairseq_format | false | []
| null | 0 | 0 |
pietrolesci/add_one_rte | false | []
| null | 217 | 0 |
loubnabnl/tokenized-codeparrot-valid | false | []
| null | 0 | 0 |
AndresPitta/sg-reports_labeled | false | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en-US",
"license:unknown"
]
| null | 0 | 0 |
pietrolesci/recast_white | false | []
| null | 36 | 0 |
loubnabnl/tokenized-codeparrot-train | false | []
| null | 0 | 0 |
Pavithree/askHistorians | false | []
| null | 0 | 0 |
Pavithree/askScience | false | []
| null | 0 | 0 |
deancgarcia/Diversity | false | []
| null | 0 | 0 |
ntcuong777/iuontology | false | []
| null | 0 | 0 |
johnowhitaker/vqgan1024_reconstruction | false | []
| null | 0 | 0 |
sbusso/fluf | false | []
| null | 0 | 0 |
Neku/meme | false | [
"license:artistic-2.0"
]
| null | 0 | 0 |
Pavithree/eli5_split | false | []
| null | 0 | 0 |
dnaveenr/cmu_mocap | false | [
"license:other"
]
| null | 2 | 0 |
AliceTears/thanadol_sin | false | []
| null | 1 | 0 |
Xiaowei/github-issues | false | []
| null | 0 | 0 |
ysharma/eurosat-demo | false | []
| null | 0 | 0 |
ntcuong777/iuontology_segmented | false | []
| null | 0 | 0 |
JEFFREY-VERDIERE/star_wars | false | []
| null | 0 | 0 |
JEFFREY-VERDIERE/Photos | false | []
| null | 0 | 0 |
johnowhitaker/vqgan1024_encs_sf | false | []
| null | 0 | 0 |
qanastek/MASSIVE | false | [
"task_categories:text-classification",
"task_ids:intent-classification",
"task_ids:multi-class-classification",
"task_ids:named-entity-recognition",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:af",
"language:am",
"language:ar",
"language:az",
"language:bn",
"language:cy",
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"language:el",
"language:en",
"language:es",
"language:fa",
"language:fi",
"language:fr",
"language:he",
"language:hi",
"language:hu",
"language:hy",
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"language:ja",
"language:jv",
"language:ka",
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"language:ko",
"language:lv",
"language:ml",
"language:mn",
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"language:my",
"language:nb",
"language:nl",
"language:pl",
"language:pt",
"language:ro",
"language:ru",
"language:sl",
"language:sq",
"language:sv",
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"language:te",
"language:th",
"language:tl",
"language:tr",
"language:ur",
"language:vi",
"language:zh",
"arxiv:2204.08582"
]
| MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
for the Natural Language Understanding tasks of intent prediction and slot annotation.
Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
the SLURP dataset, composed of general Intelligent Voice Assistant single-shot interactions. | 145 | 9 |
laion/clevr-webdataset | false | []
| null | 0 | 1 |
JEFFREY-VERDIERE/grasping_data_set | false | []
| null | 0 | 0 |
johnowhitaker/vqgan16k_reconstruction | false | []
| null | 0 | 0 |
chrishuber/kaggle_mnli | false | [
"arxiv:1704.05426"
]
| null | 34 | 1 |
johnowhitaker/vqgan16k_encs_sf_190k | false | []
| null | 0 | 0 |
johnowhitaker/vqgan16k_encs_sf_200k | false | []
| null | 0 | 0 |
Reproducibility/naacl22_wikitext15M | false | []
| null | 0 | 0 |
Reproducibility/naacl22_wikitext15M_eval | false | []
| null | 0 | 0 |
aneof/train_multi | false | []
| null | 0 | 0 |
lanesket/r-asts | false | []
| null | 0 | 0 |
gagan3012/adab | false | []
| null | 7 | 0 |
ozilfan8/Test | false | []
| null | 0 | 0 |
d0r1h/Shlokam | false | [
"annotations_creators:found",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:sn",
"language:en",
"license:cc-by-3.0"
]
| null | 0 | 0 |
maximedb/paws-x-concat | false | []
| null | 0 | 0 |
lanesket/r-asts-val | false | []
| null | 0 | 0 |
gagan3012/OnlineKhatt | false | []
| null | 25 | 0 |
ahazeemi/librispeech10h | false | []
| null | 22 | 0 |
McGill-NLP/FaithDial | false | [
"task_categories:conversational",
"task_categories:text-generation",
"task_ids:dialogue-modeling",
"annotations_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"language:en",
"license:mit",
"faithful-dialogue-modeling",
"trustworthy-dialogue-modeling",
"arxiv:2204.10757"
]
| FaithDial is a new benchmark for hallucination-free dialogues, created by manually editing hallucinated and uncooperative responses in Wizard of Wikipedia. | 1,480 | 6 |
rosimeirecosta/c_corpus_br | false | []
| null | 0 | 0 |
Fhrozen/tau_srir_db | false | [
"task_categories:audio-classification",
"annotations_creators:unknown",
"language_creators:unknown",
"size_categories:n<1K",
"source_datasets:unknown",
"license:unknown",
"audio-slot-filling"
]
| null | 0 | 0 |
Carol99/multimodal_sarcasm_detection | false | []
| null | 0 | 1 |
NbAiLab/old_hesitate | false | []
| null | 0 | 0 |
GENG/word_data | false | []
| null | 0 | 0 |
pietrolesci/dialogue_nli | false | []
| null | 12 | 0 |
hnchen/hqcn | false | []
| null | 0 | 0 |
pietrolesci/dnc | false | []
| null | 160 | 0 |
Meena/imdb_ratings_table | false | []
| null | 4 | 0 |
pietrolesci/stress_tests_nli | false | []
| null | 19 | 0 |
blo05/wiki_titles | false | []
| null | 0 | 0 |
pietrolesci/gen_debiased_nli | false | []
| null | 87 | 0 |
pietrolesci/gpt3_nli | false | []
| null | 12 | 2 |
BritishLibraryLabs/web_archive_classification | false | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other"
]
| The dataset comprises a manually curated selective archive produced by UKWA which includes the classification of sites into a two-tiered subject hierarchy. | 0 | 2 |
drGOD/test | false | []
| null | 0 | 0 |
lanesket/r-asts-tokenized | false | []
| null | 0 | 0 |
pietrolesci/robust_nli | false | []
| null | 98 | 1 |
pietrolesci/robust_nli_li_ts | false | []
| null | 12 | 0 |
pietrolesci/robust_nli_is_sd | false | []
| null | 12 | 0 |
jamescalam/reddit-python | false | []
| null | 22 | 0 |
loubnabnl/tokenized-github-code-python | false | []
| null | 0 | 0 |
pietrolesci/joci | false | []
| null | 222 | 0 |
pietrolesci/breaking_nli | false | []
| null | 12 | 0 |
pietrolesci/copa_nli | false | []
| null | 28 | 0 |
cfilt/HiNER-original | false | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:hi",
"license:cc-by-sa-4.0",
"arxiv:2204.13743"
]
| This is the dataset repository for HiNER Dataset accepted to be published at LREC 2022.
The dataset can help build sequence labelling models for the task Named Entity Recognitin for the Hindi language. | 57 | 2 |
cakiki/emotion-with-length | false | []
| null | 2 | 0 |
RohanAiLab/persian_blog_V2 | false | []
| persian_blog is a dataset consist of 700K blog posts from various websites and has types of tones.
this dataset can be used in different NLG tasks and as a show-case it's is used in training reformer-persian. | 0 | 0 |
tejasdev/training_data_NSPM | false | []
| null | 0 | 0 |
myvision/gender-classification | false | []
| null | 4 | 0 |
xap/covid19-sentiment-nepali | false | []
| null | 0 | 0 |
davanstrien/human_cats | false | []
| null | 0 | 0 |
rosimeirecosta/c_corpus | false | []
| 0 | 0 |
|
AmirulOm/lottie-urls | false | [
"task_categories:image-segmentation",
"task_ids:instance-segmentation",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:n<1K",
"source_datasets:original",
"license:unknown"
]
| null | 0 | 1 |
Davincilee/closure_system_door_inner | false | [
"license:lgpl-3.0"
]
| null | 0 | 0 |
Ericblancosf/lenssubtechnique | false | []
| null | 0 | 0 |
hrithikpiyush/acl-arc | false | [
"license:apache-2.0"
]
| null | 2 | 0 |
eleldar/different_sub_normal_datasets | false | []
| null | 0 | 0 |
BigScienceBiasEval/crows_pairs_multilingual | false | [
"license:cc-by-sa-4.0",
"arxiv:2010.00133"
]
| This is a revised version of CrowS-Pairs that measures stereotypes in language modelling in both English and French. | 1,268 | 1 |
albertxu/CrosswordQA | false | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:unknown"
]
| null | 1 | 3 |
khalidalt/HuffPost | false | [
"license:cc0-1.0"
]
| A dataset of approximately 200K news headlines from the year 2012 to 2018 collected from HuffPost. | 12 | 0 |
blinoff/kinopoisk | false | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:ru"
]
| null | 82 | 2 |
hady/kurdiabadulhady | false | []
| null | 0 | 0 |
inseq/dummy_enit | false | []
| null | 0 | 0 |
sxu/CANLI | false | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:cn",
"license:afl-3.0"
]
| null | 0 | 0 |
agemagician/uniref90 | false | []
| null | 1 | 1 |
hrithikpiyush/scierc | false | []
| null | 0 | 1 |
ENM/prueba | false | []
| null | 0 | 0 |
ENM/dataset-prueba | false | [
"language:en"
]
| null | 0 | 0 |
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