id
stringlengths 2
115
| private
bool 1
class | tags
sequence | description
stringlengths 0
5.93k
⌀ | downloads
int64 0
1.14M
| likes
int64 0
1.79k
|
|---|---|---|---|---|---|
suolyer/pile_wikipedia | false | [
"license:apache-2.0"
] | null | 56 | 0 |
suolyer/pile_youtubesubtitles | false | [
"license:apache-2.0"
] | null | 55 | 0 |
suolyer/zhihu | false | [
"license:apache-2.0"
] | null | 70 | 3 |
Mumei9438/nva-Linya | false | [] | null | 0 | 0 |
alarcon7a/somos-clean-alpaca-es-validations | false | [] | null | 1 | 0 |
alarcon7a/somos-clean-alpaca-es | false | [] | null | 0 | 0 |
dvilasuero/somos-clean-alpaca-es-test | false | [] | null | 0 | 0 |
HyperionHF/winogenerated | false | [
"license:cc-by-4.0"
] | null | 231 | 0 |
NeuraXenetica/managpt-4080-nlp-prompts-and-generated-texts | false | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0"
] | null | 0 | 1 |
keras-dreambooth/monkey_island_screenshots | false | [
"size_categories:n<1K",
"license:apache-2.0",
"keras-dreambooth"
] | null | 0 | 0 |
RobertoWilliams/your-dataset-name | false | [] | null | 0 | 0 |
Anthenea/test | false | [] | null | 0 | 0 |
Artificio/WikiArt_mini_demos | false | [] | null | 151 | 0 |
lowem1/training-invoices | false | [] | null | 66 | 0 |
Nadav-Timor/PyPiBugs | false | [
"size_categories:1K<n<10K",
"license:other",
"code",
"bugs",
"diff",
"repair",
"arxiv:2105.12787"
] | null | 326 | 0 |
sethapun/procedural_gen | false | [] | null | 94 | 0 |
starsdeep/Aussie_Dafu | false | [] | null | 8 | 0 |
Fahad-7864/autotrain-data-trial | false | [
"task_categories:image-classification"
] | null | 4 | 0 |
sahil2801/CodeAlpaca-20k | false | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"license:cc-by-4.0",
"code"
] | null | 1,565 | 29 |
Artificio/test | false | [] | null | 10 | 0 |
hhaootian/toxvf | false | [
"license:apache-2.0"
] | null | 0 | 0 |
ArielACE/aov | false | [] | null | 0 | 0 |
marasama/nva-aza_miyuko | false | [] | null | 0 | 0 |
wujohns/gpt2-chitchat-learn | false | [] | null | 4 | 0 |
marasama/nva-kominejou | false | [] | null | 0 | 0 |
roborovski/cgaxis_normal_pairs | false | [] | null | 0 | 0 |
gamesc/rixia-mao-data | false | [] | null | 0 | 0 |
marasama/nva-Aurica_Nestmile | false | [] | null | 0 | 0 |
notzero/hijab | false | [] | null | 0 | 0 |
Jasper881108/api-oneshot-summary | false | [] | null | 8 | 0 |
pangou/belle-qa-sample.json | false | [
"license:apache-2.0"
] | null | 0 | 0 |
Johnnybgoody/your-dataset-name | false | [] | null | 0 | 0 |
monstorbak/silabs-test | false | [] | null | 0 | 0 |
AlegriaD/Flowers | false | [] | null | 0 | 0 |
bbaaaa/iwslt14-de-en-preprocess | false | [
"task_categories:translation",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:translation",
"source_datasets:original",
"language:de",
"language:en",
"license:cc-by-nc-nd-4.0"
] | The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Dutch, Italian and Romanian. As unofficial task, conventional bilingual text translation is offered between English and Arabic, French, Japanese, Chinese, German and Korean. | 271 | 0 |
ayang903/jordanclassifier | false | [] | null | 1 | 0 |
dalarobot/dala | false | [] | null | 0 | 0 |
guriko/cv-resume | false | [] | null | 1 | 0 |
HaiboinLeeds/eee3_bug | false | [
"license:mit"
] | null | 8 | 0 |
PyrelordPazuzu/ivyfe | false | [] | null | 0 | 0 |
HuggingFaceH4/alpaca | false | [] | null | 1,621 | 0 |
dvilasuero/somos-clean-alpaca-es-herrius | false | [] | null | 0 | 0 |
EleutherAI/pile-duped-pythia-random-sampled | false | [] | null | 60 | 1 |
yajun06/TEST_TEXT_DATAS | false | [] | null | 0 | 0 |
AndrewMetaBlock/123 | false | [
"license:apache-2.0"
] | null | 0 | 0 |
cyanic-selkie/wikianc-hr | false | [
"task_categories:token-classification",
"size_categories:1M<n<10M",
"language:hr",
"license:cc-by-4.0",
"wikidata",
"wikipedia",
"wikification"
] | null | 0 | 1 |
tiri1231/nva-koto2 | false | [] | null | 0 | 0 |
Rainy20/nva-haruk | false | [] | null | 0 | 0 |
Rainy20/nva-haruka | false | [] | null | 0 | 0 |
davanstrien/notebooks_by_user | false | [] | null | 0 | 1 |
davanstrien/notebooks_by_repo_type | false | [] | null | 70 | 0 |
MorsZhu/Valorant_Imge_DataAsset | false | [
"license:openrail"
] | null | 0 | 0 |
sayakpaul/dummy-controlnet-100000-samples | false | [] | null | 0 | 1 |
DFKI-SLT/DWIE | false | [
"task_categories:feature-extraction",
"task_categories:text-classification",
"task_ids:entity-linking-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:other",
"Named Entity Recognition, Coreference Resolution, Relation Extraction, Entity Linking",
"arxiv:2009.12626"
] | DWIE is conceived as an entity-centric dataset that describes interactions and properties of conceptual entities
on the level of the complete document. This contrasts with currently dominant mention-driven approaches that start
from the detection and classification of named entity mentions in individual sentences. Also, the dataset was
randomly sampled from a news platform (English online content from Deutsche Welle), and the annotation scheme
was generated to cover that content. This makes the setting more realistic than in datasets with pre-determined
annotation schemes, and non-uniform sampling of content to obtain balanced annotations. | 5 | 0 |
jacksonwhyte/kate | false | [] | null | 0 | 0 |
cyanic-selkie/wikianc-en | false | [
"task_categories:token-classification",
"size_categories:10M<n<100M",
"language:en",
"license:cc-by-4.0",
"wikidata",
"wikipedia",
"wikification"
] | null | 195 | 1 |
Jasper881108/api-fifshot-summary | false | [] | null | 4 | 0 |
Juronuim/gcolabreqs | false | [] | null | 0 | 0 |
pbms/flan-t5-small | false | [
"license:unknown"
] | null | 0 | 0 |
Baldwwin/Baldwin_dataset | false | [] | null | 0 | 0 |
adihaviv/idiomem | false | [
"license:mit"
] | null | 3 | 0 |
tiri1231/nva-mumei | false | [] | null | 0 | 0 |
Babypotatotang/logo-combined-exclusive | false | [] | null | 1 | 0 |
onglaoxiteen/LoRa_Background | false | [] | null | 0 | 0 |
sukantan/nyaya-act-sections | false | [] | null | 366 | 0 |
loubnabnl/ada-no-pii_checks | false | [] | null | 1 | 0 |
nurik040404/mse | false | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:text-classification",
"task_ids:closed-domain-qa",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"task_ids:dialogue-modeling",
"task_ids:language-modeling",
"task_ids:acceptability-classification",
"task_ids:text-scoring",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:wtfpl",
"math"
] | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | 15 | 0 |
Protegee/Ciri_dataset_93img | false | [] | null | 0 | 0 |
Protegee/Ciri_dataset93img_txt | false | [] | null | 0 | 0 |
sukantan/nyaya-embeddings | false | [] | null | 374 | 0 |
EMBO/SourceData | false | [
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"biology",
"medical",
"doi:10.57967/hf/0495"
] | This dataset is based on the SourceData database and is intented to facilitate training of NLP tasks in the cell and molecualr biology domain. | 279 | 0 |
koutch/staqc | false | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"code",
"arxiv:1803.09371"
] | StaQC (Stack Overflow Question-Code pairs) is a dataset of around 148K Python and 120K SQL domain question-code pairs,
which are automatically mined from Stack Overflow using a Bi-View Hierarchical Neural Network,
as described in the paper "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow" (WWW'18). | 161 | 1 |
loubnabnl/ada-no-pii | false | [] | null | 0 | 0 |
barry556652/shift | false | [] | null | 0 | 0 |
albertvillanova/tmp-mse | false | [] | null | 0 | 0 |
ttoavina/shoes_aice | false | [] | null | 1 | 0 |
ClementRomac/cleaned_deduplicated_oscar | false | [] | null | 15 | 0 |
HEROBRINE7GAMER/test | false | [
"license:gpl-3.0"
] | null | 5 | 0 |
Denliner/LoRA | false | [
"license:openrail"
] | null | 0 | 0 |
longteng/test | false | [] | null | 1 | 0 |
martingrzzler/mnemonics_benchmark | false | [
"task_categories:text-classification",
"size_categories:n<1K",
"language:en",
"language learning",
"keyword mnemonics"
] | null | 24 | 0 |
thebrath/brixxbox-wiki-docs | false | [] | null | 8 | 0 |
loubnabnl/awk_checks | false | [] | null | 0 | 0 |
loubnabnl/isabelle_checks | false | [] | null | 0 | 0 |
loubnabnl/agda_checks | false | [] | null | 0 | 0 |
loubnabnl/rmarkdown_checks | false | [] | null | 0 | 0 |
loubnabnl/stata_checks | false | [] | null | 0 | 0 |
loubnabnl/xslt_checks | false | [] | null | 0 | 0 |
loubnabnl/tcl_checks | false | [] | null | 1 | 0 |
loubnabnl/clojure_checks | false | [] | null | 0 | 0 |
loubnabnl/restructuredtext_checks | false | [] | null | 0 | 0 |
loubnabnl/alloy_checks | false | [] | null | 0 | 0 |
loubnabnl/literate-coffeescript_checks | false | [] | null | 0 | 0 |
loubnabnl/applescript_checks | false | [] | null | 0 | 0 |
loubnabnl/literate-agda_checks | false | [] | null | 0 | 0 |
loubnabnl/sas_checks | false | [] | null | 0 | 0 |
loubnabnl/systemverilog_checks | false | [] | null | 0 | 0 |
loubnabnl/emacs-lisp_checks | false | [] | null | 0 | 0 |
loubnabnl/f-sharp_checks | false | [] | null | 0 | 0 |
loubnabnl/common-lisp_checks | false | [] | null | 0 | 0 |
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