Datasets:
davanstrien
/
dataset_cards_with_long_context_embeddins

Dataset card Data Studio Files
xet
 Community
id
stringlengths
2
115
lastModified
stringlengths
24
24
tags
list
author
stringlengths
2
42
⌀
description
stringlengths
0
6.67k
⌀
citation
stringlengths
0
10.7k
⌀
likes
int64
0
3.66k
downloads
int64
0
8.89M
created
timestamp[us]
card
stringlengths
11
977k
card_len
int64
11
977k
embeddings
list
yzhuang/autotree_automl_10000_Higgs_sgosdt_l256_dim10_d3_sd0
2023-09-07T06:25:57.000Z
[ "region:us" ]
yzhuang
null
null
0
89
2023-09-07T06:25:49
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float32 - name: input_y sequence: sequence: float32 - name: input_y_clean sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: flo...
843
[ [ -0.03125, -0.01425933837890625, 0.022216796875, 0.0126495361328125, -0.006671905517578125, 0.01143646240234375, 0.04083251953125, -0.00565338134765625, 0.052886962890625, 0.024932861328125, -0.0501708984375, -0.046783447265625, -0.049774169921875, 0.00233840...
yzhuang/autotree_pmlb_10000_twonorm_sgosdt_l256_dim10_d3_sd0
2023-09-07T06:47:08.000Z
[ "region:us" ]
yzhuang
null
null
0
89
2023-09-07T06:47:00
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float32 - name: input_y sequence: sequence: float32 - name: input_y_clean sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: flo...
843
[ [ -0.0294647216796875, -0.01473236083984375, 0.01097869873046875, 0.0310821533203125, -0.0194854736328125, 0.01473236083984375, 0.049774169921875, -0.002178192138671875, 0.0548095703125, 0.032135009765625, -0.060272216796875, -0.03399658203125, -0.049468994140625,...
yzhuang/autotree_automl_10000_heloc_sgosdt_l256_dim10_d3_sd0
2023-09-07T07:33:56.000Z
[ "region:us" ]
yzhuang
null
null
0
89
2023-09-07T07:33:51
--- dataset_info: features: - name: id dtype: int64 - name: input_x sequence: sequence: float32 - name: input_y sequence: sequence: float32 - name: input_y_clean sequence: sequence: float32 - name: rtg sequence: float64 - name: status sequence: sequence: flo...
842
[ [ -0.03216552734375, -0.00975799560546875, 0.0167083740234375, 0.021942138671875, -0.0137786865234375, 0.022735595703125, 0.0447998046875, -0.0035953521728515625, 0.055023193359375, 0.0262451171875, -0.058197021484375, -0.053741455078125, -0.054107666015625, 0...
ShengbinYue/DISC-Law-SFT
2023-09-25T14:47:18.000Z
[ "size_categories:100M<n<1B", "language:zh", "license:apache-2.0", "legal", "arxiv:2309.11325", "region:us" ]
ShengbinYue
null
null
28
89
2023-09-23T07:56:07
--- language: - zh tags: - legal size_categories: - 100M<n<1B license: apache-2.0 --- # DISC-Law-SFT Dataset Legal Intelligent systems in Chinese require a combination of various abilities, including legal text understanding and generation. To achieve this, we have constructed a high-quality supervised fine-tuning d...
2,610
[ [ -0.0280914306640625, -0.03375244140625, 0.0234222412109375, 0.0231475830078125, -0.035888671875, -0.0169525146484375, -0.0037136077880859375, -0.0195770263671875, 0.00014317035675048828, 0.07281494140625, -0.041717529296875, -0.063720703125, -0.0234527587890625,...
lberglund/reversal_curse
2023-09-25T15:33:57.000Z
[ "language:en", "license:mit", "arxiv:2309.12288", "region:us" ]
lberglund
null
null
0
89
2023-09-25T15:06:42
--- license: mit language: - en --- # Dataset Card for Dataset Name ## Dataset Description - **Repository: https://github.com/lukasberglund/reversal_curse** - **Paper: https://arxiv.org/abs/2309.12288** ### Dataset Summary Datasets used for experiments 1, 2, and 3 from the reversal curse paper. 1. Experiment ...
440
[ [ -0.0181732177734375, -0.038421630859375, 0.00026154518127441406, 0.01416015625, -0.040771484375, -0.006717681884765625, 0.00952911376953125, -0.0187225341796875, 0.060516357421875, 0.068603515625, -0.046722412109375, -0.0340576171875, -0.044158935546875, 0.0...
MLNTeam-Unical/NFT-70M_transactions
2023-10-03T07:15:49.000Z
[ "task_categories:time-series-forecasting", "task_categories:text-classification", "task_categories:feature-extraction", "task_categories:text-generation", "task_categories:zero-shot-classification", "task_categories:text2text-generation", "task_categories:sentence-similarity", "task_categories:image-c...
MLNTeam-Unical
null
null
3
89
2023-09-26T15:48:21
--- dataset_info: features: - name: num_sales dtype: int64 - name: fees_seller dtype: float64 - name: fees_opensea dtype: float64 - name: fees_seller_usd dtype: float64 - name: fees_opensea_usd dtype: float64 - name: tx_timestamp dtype: string - name: price dtype: float64 -...
16,326
[ [ -0.0372314453125, -0.061187744140625, 0.00994873046875, 0.0031337738037109375, -0.033203125, 0.0038585662841796875, 0.006359100341796875, -0.06060791015625, 0.0428466796875, 0.0545654296875, -0.0406494140625, -0.05194091796875, -0.047119140625, 0.00375747680...
pbaoo2705/cpgqa_processed
2023-10-16T06:02:20.000Z
[ "region:us" ]
pbaoo2705
null
null
0
89
2023-10-10T06:53:18
--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: answer dtype: string - name: start_positions dtype: int64 - name: end_positions dtype: int64 splits: - name: train num_bytes: 9148601 num_examples: 884 download_size:...
611
[ [ -0.035064697265625, -0.02264404296875, 0.0257415771484375, 0.0164642333984375, -0.0207061767578125, 0.00876617431640625, 0.0132598876953125, -0.00962066650390625, 0.04193115234375, 0.04779052734375, -0.0570068359375, -0.05572509765625, -0.048583984375, -0.01...
kejian/odmeeting_oracle_govrep_format
2023-10-10T23:07:56.000Z
[ "region:us" ]
kejian
null
null
0
89
2023-10-10T23:07:53
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: int64 - name: input dtype: string - name: output dtype: string splits: - nam...
740
[ [ -0.0275726318359375, -0.0272064208984375, 0.0163726806640625, 0.00962066650390625, -0.01165008544921875, -0.03436279296875, 0.0041961669921875, -0.006195068359375, 0.05126953125, 0.059478759765625, -0.04669189453125, -0.055389404296875, -0.024993896484375, -...
danjacobellis/musdb
2023-10-11T16:01:47.000Z
[ "region:us" ]
danjacobellis
null
null
0
89
2023-10-11T15:03:04
--- configs: - config_name: default data_files: - split: test path: data/test-* dataset_info: features: - name: name dtype: string - name: mixture dtype: audio: sampling_rate: 44100 mono: false - name: drums dtype: audio: sampling_rate: 44100 mono:...
888
[ [ -0.053009033203125, -0.01255035400390625, 0.025421142578125, 0.021697998046875, -0.01183319091796875, 0.01174163818359375, 0.0341796875, -0.003734588623046875, 0.07635498046875, 0.0355224609375, -0.068359375, -0.04986572265625, -0.04107666015625, -0.02551269...
coastalcph/fm_queries_classifier
2023-10-18T13:36:57.000Z
[ "region:us" ]
coastalcph
null
null
0
89
2023-10-11T20:37:31
--- dataset_info: features: - name: query dtype: string - name: answer list: - name: wikidata_id dtype: string - name: name dtype: string - name: id dtype: string - name: relation dtype: string - name: date dtype: int64 - name: type dtype: string - name: is_mu...
837
[ [ -0.03765869140625, -0.0164337158203125, 0.016571044921875, 0.00585174560546875, -0.0029773712158203125, -0.01245880126953125, 0.01406097412109375, -0.02069091796875, 0.044281005859375, 0.03271484375, -0.05340576171875, -0.0498046875, -0.033599853515625, -0.0...
code_x_glue_cc_clone_detection_poj104
2023-03-13T11:02:07.000Z
[ "task_categories:text-retrieval", "task_ids:document-retrieval", "annotations_creators:found", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:code", "license:c-uda", "region:us" ]
null
Given a code and a collection of candidates as the input, the task is to return Top K codes with the same semantic. Models are evaluated by MAP score. We use POJ-104 dataset on this task.
@inproceedings{mou2016convolutional, title={Convolutional neural networks over tree structures for programming language processing}, author={Mou, Lili and Li, Ge and Zhang, Lu and Wang, Tao and Jin, Zhi}, booktitle={Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence}, pages={1287--1293}, year={2016...
3
88
2022-03-02T23:29:22
--- pretty_name: CodeXGlueCcCloneDetectionPoj104 annotations_creators: - found language_creators: - found language: - code license: - c-uda multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-retrieval task_ids: - document-retrieval dataset_info: features: ...
5,244
[ [ -0.0249481201171875, -0.043365478515625, 0.01433563232421875, 0.0014543533325195312, -0.010406494140625, 0.0089111328125, -0.0236663818359375, -0.01207733154296875, 0.027099609375, 0.03118896484375, -0.037384033203125, -0.06878662109375, -0.046966552734375, ...
eitb_parcc
2022-11-03T16:15:31.000Z
[ "task_categories:translation", "annotations_creators:found", "language_creators:found", "multilinguality:multilingual", "size_categories:100K<n<1M", "source_datasets:original", "language:es", "language:eu", "license:unknown", "region:us" ]
null
EiTB-ParCC: Parallel Corpus of Comparable News. A Basque-Spanish parallel corpus provided by Vicomtech (https://www.vicomtech.org), extracted from comparable news produced by the Basque public broadcasting group Euskal Irrati Telebista.
@InProceedings{TIEDEMANN12.463, author = {J{\"o}rg Tiedemann}, title = {Parallel Data, Tools and Interfaces in OPUS}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, ...
1
88
2022-03-02T23:29:22
--- annotations_creators: - found language_creators: - found language: - es - eu license: - unknown multilinguality: - multilingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - translation task_ids: [] paperswithcode_id: eitb-parcc pretty_name: EiTB-ParCC dataset_info: features: - nam...
3,921
[ [ -0.041717529296875, -0.03607177734375, 0.01458740234375, 0.0256500244140625, -0.0194244384765625, 0.01024627685546875, -0.0399169921875, -0.022674560546875, 0.0413818359375, 0.034637451171875, -0.049713134765625, -0.07464599609375, -0.05572509765625, 0.02784...
giga_fren
2022-11-03T16:15:21.000Z
[ "task_categories:translation", "annotations_creators:found", "language_creators:found", "multilinguality:multilingual", "size_categories:10M<n<100M", "source_datasets:original", "language:en", "language:fr", "license:unknown", "region:us" ]
null
Giga-word corpus for French-English from WMT2010 collected by Chris Callison-Burch 2 languages, total number of files: 452 total number of tokens: 1.43G total number of sentence fragments: 47.55M
@InProceedings{TIEDEMANN12.463, author = {J{\"o}rg Tiedemann}, title = {Parallel Data, Tools and Interfaces in OPUS}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, ...
0
88
2022-03-02T23:29:22
--- annotations_creators: - found language_creators: - found language: - en - fr license: - unknown multilinguality: - multilingual size_categories: - 10M<n<100M source_datasets: - original task_categories: - translation task_ids: [] paperswithcode_id: null pretty_name: GigaFren dataset_info: features: - name: id ...
3,258
[ [ -0.040313720703125, -0.039581298828125, 0.00923919677734375, 0.0079803466796875, -0.032012939453125, 0.01367950439453125, -0.0199127197265625, -0.0268096923828125, 0.05316162109375, 0.05084228515625, -0.0716552734375, -0.06195068359375, -0.03643798828125, -0...
hausa_voa_ner
2023-01-25T14:31:51.000Z
[ "task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:ha", "license:cc-by-4.0", "region:us" ]
null
The Hausa VOA NER dataset is a labeled dataset for named entity recognition in Hausa. The texts were obtained from Hausa Voice of America News articles https://www.voahausa.com/ . We concentrate on four types of named entities: persons [PER], locations [LOC], organizations [ORG], and dates & time [DATE]. The Hausa VOA...
@inproceedings{hedderich-etal-2020-transfer, title = "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on {A}frican Languages", author = "Hedderich, Michael A. and Adelani, David and Zhu, Dawei and Alabi, Jesujoba and Markus, Udia and Klak...
2
88
2022-03-02T23:29:22
--- annotations_creators: - expert-generated language_creators: - expert-generated language: - ha license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - token-classification task_ids: - named-entity-recognition pretty_name: Hausa VOA NER Corpus dat...
6,010
[ [ -0.04168701171875, -0.058349609375, -0.002468109130859375, 0.0246734619140625, -0.01514434814453125, -0.0064239501953125, -0.03204345703125, -0.0423583984375, 0.046142578125, 0.04437255859375, -0.03631591796875, -0.047637939453125, -0.055511474609375, 0.0302...
hda_nli_hindi
2023-01-25T14:31:58.000Z
[ "task_categories:text-classification", "task_ids:natural-language-inference", "annotations_creators:machine-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:extended|hindi_discourse", "language:hi", "license:mit", "region:us" ]
null
This dataset is a recasted version of the Hindi Discourse Analysis Dataset used to train models for Natural Language Inference Tasks in Low-Resource Languages like Hindi.
@inproceedings{uppal-etal-2020-two, title = "Two-Step Classification using Recasted Data for Low Resource Settings", author = "Uppal, Shagun and Gupta, Vivek and Swaminathan, Avinash and Zhang, Haimin and Mahata, Debanjan and Gosangi, Rakesh and Shah, Rajiv Ratn an...
0
88
2022-03-02T23:29:22
--- annotations_creators: - machine-generated language_creators: - found language: - hi license: - mit multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - extended|hindi_discourse task_categories: - text-classification task_ids: - natural-language-inference pretty_name: Hindi Discourse Analy...
10,244
[ [ -0.018463134765625, -0.06280517578125, -0.00414276123046875, 0.031402587890625, -0.0240631103515625, 0.0116729736328125, -0.021270751953125, -0.0226593017578125, 0.02239990234375, 0.0196685791015625, -0.0270233154296875, -0.035125732421875, -0.0479736328125, ...
hrwac
2022-11-03T16:15:15.000Z
[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:1B<n<10B", "source_datasets:original", "language:hr", ...
null
The Croatian web corpus hrWaC was built by crawling the .hr top-level domain in 2011 and again in 2014. The corpus was near-deduplicated on paragraph level, normalised via diacritic restoration, morphosyntactically annotated and lemmatised. The corpus is shuffled by paragraphs. Each paragraph contains metadata on the U...
@misc{11356/1064, title = {Croatian web corpus {hrWaC} 2.1}, author = {Ljube{\v s}i{\'c}, Nikola and Klubi{\v c}ka, Filip}, url = {http://hdl.handle.net/11356/1064}, note = {Slovenian language resource repository {CLARIN}.{SI}}, copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-...
0
88
2022-03-02T23:29:22
--- annotations_creators: - no-annotation language_creators: - found language: - hr license: - cc-by-sa-3.0 multilinguality: - monolingual size_categories: - 1B<n<10B source_datasets: - original task_categories: - text-generation - fill-mask task_ids: - language-modeling - masked-language-modeling paperswithcode_id: nu...
3,986
[ [ -0.027587890625, -0.0467529296875, 0.0027332305908203125, 0.0297088623046875, -0.01983642578125, -0.002323150634765625, -0.033233642578125, -0.033538818359375, 0.022674560546875, 0.033111572265625, -0.0716552734375, -0.08349609375, -0.041656494140625, 0.0320...
opus_tedtalks
2022-11-03T16:15:24.000Z
[ "task_categories:translation", "annotations_creators:found", "language_creators:found", "multilinguality:multilingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "language:hr", "license:unknown", "region:us" ]
null
This is a Croatian-English parallel corpus of transcribed and translated TED talks, originally extracted from https://wit3.fbk.eu. The corpus is compiled by Željko Agić and is taken from http://lt.ffzg.hr/zagic provided under the CC-BY-NC-SA license. 2 languages, total number of files: 2 total number of tokens: 2.81M t...
@InProceedings{TIEDEMANN12.463, author = {J{\"o}rg Tiedemann}, title = {Parallel Data, Tools and Interfaces in OPUS}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, ...
0
88
2022-03-02T23:29:22
--- annotations_creators: - found language_creators: - found language: - en - hr license: - unknown multilinguality: - multilingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - translation task_ids: [] paperswithcode_id: null pretty_name: OpusTedtalks dataset_info: features: - name: ...
4,292
[ [ -0.0242767333984375, -0.0396728515625, 0.0184478759765625, 0.02880859375, -0.0229034423828125, 0.01325225830078125, -0.049224853515625, -0.0290679931640625, 0.0347900390625, 0.0237579345703125, -0.048553466796875, -0.06939697265625, -0.04608154296875, 0.0163...
psc
2023-01-25T14:42:57.000Z
[ "task_categories:summarization", "task_ids:news-articles-summarization", "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:pl", "license:cc-by-sa-3.0", "region:us" ]
null
The Polish Summaries Corpus contains news articles and their summaries. We used summaries of the same article as positive pairs and sampled the most similar summaries of different articles as negatives.
@inproceedings{ogro:kop:14:lrec, title={The {P}olish {S}ummaries {C}orpus}, author={Ogrodniczuk, Maciej and Kope{\'c}, Mateusz}, booktitle = "Proceedings of the Ninth International {C}onference on {L}anguage {R}esources and {E}valuation, {LREC}~2014", year = "2014", }
1
88
2022-03-02T23:29:22
--- annotations_creators: - expert-generated language_creators: - other language: - pl license: - cc-by-sa-3.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - summarization task_ids: - news-articles-summarization pretty_name: psc dataset_info: features: - na...
3,747
[ [ -0.0323486328125, -0.04498291015625, 0.0193023681640625, 0.0196380615234375, -0.022705078125, 0.00620269775390625, -0.032501220703125, -0.033721923828125, 0.04718017578125, 0.034942626953125, -0.05743408203125, -0.074951171875, -0.051300048828125, 0.01811218...
telugu_news
2023-01-25T14:45:35.000Z
[ "task_categories:text-generation", "task_categories:fill-mask", "task_categories:text-classification", "task_ids:language-modeling", "task_ids:masked-language-modeling", "task_ids:multi-class-classification", "task_ids:topic-classification", "annotations_creators:machine-generated", "language_creato...
null
This dataset contains Telugu language news articles along with respective topic labels (business, editorial, entertainment, nation, sport) extracted from the daily Andhra Jyoti. This dataset could be used to build Classification and Language Models.
@InProceedings{kaggle:dataset, title = {Telugu News - Natural Language Processing for Indian Languages}, authors={Sudalai Rajkumar, Anusha Motamarri}, year={2019} }
0
88
2022-03-02T23:29:22
--- annotations_creators: - machine-generated language_creators: - other language: - te license: - unknown multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-generation - fill-mask - text-classification task_ids: - language-modeling - masked-language-modelin...
4,403
[ [ -0.0149078369140625, -0.050689697265625, 0.0012273788452148438, 0.0313720703125, -0.0300445556640625, 0.0165252685546875, -0.03277587890625, -0.024017333984375, 0.040985107421875, 0.0213623046875, -0.0400390625, -0.060882568359375, -0.053741455078125, 0.0160...
times_of_india_news_headlines
2022-11-03T16:15:42.000Z
[ "task_categories:text2text-generation", "task_categories:text-retrieval", "task_ids:document-retrieval", "task_ids:fact-checking-retrieval", "task_ids:text-simplification", "annotations_creators:no-annotation", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:1M<...
null
This news dataset is a persistent historical archive of noteable events in the Indian subcontinent from start-2001 to mid-2020, recorded in realtime by the journalists of India. It contains approximately 3.3 million events published by Times of India. Times Group as a news agency, reaches out a very wide audience acros...
@data{DVN/DPQMQH_2020, author = {Kulkarni, Rohit}, publisher = {Harvard Dataverse}, title = {{Times of India News Headlines}}, year = {2020}, version = {V1}, doi = {10.7910/DVN/DPQMQH}, url = {https://doi.org/10.7910/DVN/DPQMQH} }
0
88
2022-03-02T23:29:22
--- annotations_creators: - no-annotation language_creators: - expert-generated language: - en license: - cc0-1.0 multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original task_categories: - text2text-generation - text-retrieval task_ids: - document-retrieval - fact-checking-retrieval - tex...
4,585
[ [ -0.0133819580078125, -0.031097412109375, 0.00494384765625, 0.0340576171875, -0.0372314453125, 0.0170745849609375, -0.004852294921875, -0.0286407470703125, 0.0263671875, 0.0091400146484375, -0.03985595703125, -0.043426513671875, -0.0467529296875, 0.0152511596...
twi_wordsim353
2022-11-03T16:07:57.000Z
[ "task_categories:text-classification", "task_ids:text-scoring", "task_ids:semantic-similarity-scoring", "annotations_creators:crowdsourced", "language_creators:expert-generated", "multilinguality:multilingual", "size_categories:n<1K", "source_datasets:original", "language:en", "language:tw", "li...
null
A translation of the word pair similarity dataset wordsim-353 to Twi. The dataset was presented in the paper Alabi et al.: Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yorùbá and Twi (LREC 2020).
@inproceedings{alabi-etal-2020-massive, title = "Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of {Y}or{\\`u}b{\\'a} and {T}wi", author = "Alabi, Jesujoba and Amponsah-Kaakyire, Kwabena and Adelani, David and Espa{\\~n}a-Bonet, Cristina", booktitle = "Proceedings ...
1
88
2022-03-02T23:29:22
--- annotations_creators: - crowdsourced language_creators: - expert-generated language: - en - tw license: - unknown multilinguality: - multilingual size_categories: - n<1K source_datasets: - original task_categories: - text-classification task_ids: - text-scoring - semantic-similarity-scoring paperswithcode_id: null ...
6,060
[ [ -0.03594970703125, -0.06256103515625, 0.01148223876953125, 0.01371002197265625, -0.0274505615234375, 0.006320953369140625, -0.050262451171875, -0.038665771484375, 0.044708251953125, 0.02410888671875, -0.037689208984375, -0.050750732421875, -0.060333251953125, ...
adorkin/extended_tweet_emojis
2023-02-07T12:18:57.000Z
[ "task_categories:text-classification", "size_categories:10K<n<100K", "language:en", "region:us" ]
adorkin
null
null
1
88
2022-03-02T23:29:22
--- task_categories: - text-classification language: - en size_categories: - 10K<n<100K --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset is comprised of `emoji` and `emotion` sub...
1,957
[ [ -0.0179290771484375, -0.041259765625, 0.0030269622802734375, 0.036773681640625, -0.0251922607421875, 0.027374267578125, -0.02532958984375, -0.0201873779296875, 0.058349609375, 0.0244293212890625, -0.060028076171875, -0.0797119140625, -0.057861328125, 0.00955...
AlexMaclean/all-deletion-compressions
2021-12-07T00:29:41.000Z
[ "region:us" ]
AlexMaclean
null
null
1
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.021392822265625, -0.01494598388671875, 0.05718994140625, 0.028839111328125, -0.0350341796875, 0.046539306640625, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.01702880859375, -0.052093505859375, -0.01494598388671875, -0.06036376953125, 0.03790...
AryanLala/autonlp-data-Scientific_Title_Generator
2021-11-20T18:00:56.000Z
[ "region:us" ]
AryanLala
null
null
1
88
2022-03-02T23:29:22
--- task_categories: - conditional-text-generation --- # AutoNLP Dataset for project: Scientific_Title_Generator ## Table of content - [Dataset Description](#dataset-description) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-field...
3,880
[ [ -0.037811279296875, -0.03277587890625, 0.0232696533203125, 0.01210784912109375, -0.006992340087890625, -0.015655517578125, 0.0075225830078125, -0.022247314453125, 0.03582763671875, 0.035797119140625, -0.051910400390625, -0.036773681640625, -0.0235137939453125, ...
Atsushi/fungi_trait_circus_database
2022-12-26T10:38:17.000Z
[ "annotations_creators:other", "multilinguality:multilingual", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "language:ja", "license:cc-by-4.0", "region:us" ]
Atsushi
null
null
0
88
2022-03-02T23:29:22
--- annotations_creators: - other language: - en - ja multilinguality: - multilingual license: - cc-by-4.0 source_datasets: - original size_categories: - 100K<n<1M --- fungi_trait_circus_database 大菌輪「Trait Circus」データセット（統制形質） 最終更新日：2022/12/26 ==== ### Languages Japanese and English Please do not use this data...
1,841
[ [ -0.039398193359375, -0.050384521484375, 0.0250244140625, 0.020660400390625, -0.032562255859375, 0.003265380859375, 0.005916595458984375, -0.039398193359375, 0.08209228515625, 0.0163421630859375, -0.0484619140625, -0.06427001953125, -0.0408935546875, 0.043731...
SetFit/insincere-questions
2022-01-19T18:15:51.000Z
[ "region:us" ]
SetFit
null
null
1
88
2022-03-02T23:29:22
This is a version of the [Quora Insincere Questions Classification](https://www.kaggle.com/c/quora-insincere-questions-classification). An insincere question is defined as a question intended to make a statement rather than look for helpful answers. About 6% of questions are labeled as insincere.
301
[ [ -0.036224365234375, -0.06573486328125, 0.01485443115234375, 0.0007939338684082031, -0.03173828125, 0.0086212158203125, 0.0182647705078125, -0.04132080078125, 0.0197296142578125, 0.048309326171875, -0.0283203125, 0.00453948974609375, -0.028900146484375, 0.007...
aseifert/pie-synthetic
2022-07-07T11:55:53.000Z
[ "multilinguality:translation", "size_categories:unknown", "language:en", "region:us" ]
aseifert
null
null
1
88
2022-03-02T23:29:22
--- annotations_creators: [] language_creators: [] language: - en license: [] multilinguality: - translation pretty_name: pie-synthetic size_categories: - unknown source_datasets: [] task_categories: - conditional-text-generation task_ids: - machine-translation --- # PIE synthetic dataset Repo: https://github.com/awa...
382
[ [ -0.0182647705078125, -0.04119873046875, 0.031982421875, 0.01995849609375, -0.0030078887939453125, 0.021881103515625, -0.00856781005859375, -0.0194244384765625, 0.0472412109375, 0.059326171875, -0.057952880859375, -0.04266357421875, -0.0093536376953125, 0.005...
ashraq/dhivehi-corpus
2021-12-19T14:39:45.000Z
[ "region:us" ]
ashraq
This is a dataset put together to pretrain a language model in Dhivehi, the language of Maldives.
@InProceedings{huggingface:dataset, title = {A great new dataset}, author={huggingface, Inc. }, year={2021} }
2
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0214080810546875, -0.01494598388671875, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.0465087890625, 0.052490234375, 0.00505828857421875, 0.051361083984375, 0.0170135498046875, -0.05206298828125, -0.0149993896484375, -0.06036376953125, 0.0379028320...
astrideducation/cefr-combined-no-cefr-test
2021-12-02T14:47:44.000Z
[ "region:us" ]
astrideducation
This dataset contains 3370555 sentences, which each have an assigned CEFR level derived from EFLLex (https://cental.uclouvain.be/cefrlex/efllex/download). The sentences comes from "the pile books3", which is available on Huggingface (https://huggingface.co/datasets/the_pile_books3). The CEFR levels used are A1,...
@misc{cefr_book_sentences, author={Astrid Education AB} year={2021} }
1
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0214080810546875, -0.01494598388671875, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.0465087890625, 0.052490234375, 0.00505828857421875, 0.051361083984375, 0.0170135498046875, -0.05206298828125, -0.0149993896484375, -0.06036376953125, 0.0379028320...
athar/QA
2021-10-24T17:30:33.000Z
[ "region:us" ]
athar
null
null
0
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
austin/rheum_abstracts
2022-01-04T05:10:23.000Z
[ "region:us" ]
austin
null
null
0
88
2022-03-02T23:29:22
# Dataset Card for Rheumatology Abstracts ## Data Source This dataset comes from PubMed, derived from my fork of the pymed package (no longer maintained). My fork can be found at https://github.com/cmcmaster1/pymed ## Data Structure The dataset is split into train (80%) and test (20%) files (CSV). Each file contains t...
381
[ [ -0.0042266845703125, -0.04205322265625, 0.0160675048828125, -0.0036067962646484375, -0.0545654296875, 0.0142974853515625, 0.0175933837890625, -0.035919189453125, 0.047271728515625, 0.03851318359375, -0.00946807861328125, -0.0699462890625, -0.041595458984375, ...
bitmorse/kickstarter_2022-2021
2022-02-10T06:28:18.000Z
[ "region:us" ]
bitmorse
null
null
1
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
biu-nlp/qamr
2021-10-20T07:10:13.000Z
[ "region:us" ]
biu-nlp
Question-Answer Meaning Representations (QAMR) are a new paradigm for representing predicate-argument structure, which makes use of free-form questions and their answers in order to represent a wide range of semantic phenomena. The semantic expressivity of QAMR compares to (and in some cases exceeds) that of existing ...
@inproceedings{michael-etal-2018-crowdsourcing, title = "Crowdsourcing Question-Answer Meaning Representations", author = "Michael, Julian and Stanovsky, Gabriel and He, Luheng and Dagan, Ido and Zettlemoyer, Luke", booktitle = "Proceedings of the 2018 Conference of the North {A}...
0
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
blinoff/medical_qa_ru_data
2022-07-02T06:24:13.000Z
[ "task_categories:question-answering", "task_ids:closed-domain-qa", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:ru", "license:unknown", "region:us" ]
blinoff
This dataset contains 190,335 Russian Q&A posts from a medical related forum.
null
6
88
2022-03-02T23:29:22
--- annotations_creators: [] language_creators: [] language: - ru license: - unknown multilinguality: - monolingual pretty_name: Medical Q&A Russian Data size_categories: - 100K<n<1M source_datasets: - original task_categories: - question-answering task_ids: - closed-domain-qa --- ### Dataset Summary This dataset cont...
651
[ [ -0.0298309326171875, -0.0538330078125, 0.0287933349609375, 0.0033893585205078125, -0.020355224609375, -0.0187225341796875, 0.0153045654296875, -0.002628326416015625, 0.039947509765625, 0.04046630859375, -0.060699462890625, -0.049560546875, -0.035369873046875, ...
bwu2018/anime-tagging-dataset
2021-12-08T17:20:46.000Z
[ "region:us" ]
bwu2018
null
null
5
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
castorini/msmarco_v2_doc_doc2query-t5_expansions
2021-11-11T17:41:32.000Z
[ "language:English", "license:Apache License 2.0", "region:us" ]
castorini
null
null
0
88
2022-03-02T23:29:22
--- language: - English license: "Apache License 2.0" --- # Dataset Summary The repo provides queries generated for the MS MARCO v2 document corpus with docTTTTTquery (sometimes written as docT5query or doc2query-T5), the latest version of the doc2query family of document expansion models. The basic idea is to ...
1,522
[ [ -0.0180511474609375, -0.03729248046875, 0.0323486328125, 0.00243377685546875, -0.010345458984375, 0.003993988037109375, -0.011474609375, -0.0295562744140625, 0.0032806396484375, 0.05364990234375, -0.0396728515625, -0.05517578125, -0.042510986328125, 0.015579...
castorini/msmarco_v2_doc_segmented_doc2query-t5_expansions
2021-11-02T08:13:56.000Z
[ "language:English", "license:Apache License 2.0", "region:us" ]
castorini
null
null
0
88
2022-03-02T23:29:22
--- language: - English license: "Apache License 2.0" --- # Dataset Summary The repo provides queries generated for the MS MARCO v2 document segmented corpus with docTTTTTquery (sometimes written as docT5query or doc2query-T5), the latest version of the doc2query family of document expansion models. The basic i...
1,576
[ [ -0.0177764892578125, -0.0426025390625, 0.038543701171875, 0.002536773681640625, -0.0153045654296875, 0.01068878173828125, -0.00629425048828125, -0.02716064453125, 0.00313568115234375, 0.054229736328125, -0.043426513671875, -0.058868408203125, -0.042449951171875,...
chenghao/mc4_eu_dedup
2021-12-08T05:25:24.000Z
[ "region:us" ]
chenghao
null
null
0
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
chitra/contradiction
2022-01-19T11:46:58.000Z
[ "region:us" ]
chitra
null
null
0
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0214080810546875, -0.01494598388671875, 0.057159423828125, 0.028839111328125, -0.0350341796875, 0.04656982421875, 0.052490234375, 0.00504302978515625, 0.0513916015625, 0.016998291015625, -0.0521240234375, -0.0149993896484375, -0.06036376953125, 0.03790283...
chmanoj/ai4bharat__samanantar_processed_te
2022-02-05T04:02:51.000Z
[ "region:us" ]
chmanoj
null
null
0
88
2022-03-02T23:29:22
This is extracted from telugu subset from https://huggingface.co/datasets/ai4bharat/samanantar - used to create telugu kenLM models for ASR decoding.
149
[ [ 0.007015228271484375, -0.023223876953125, -0.0007772445678710938, 0.01245880126953125, -0.0246734619140625, 0.0219268798828125, 0.0271759033203125, -0.0252685546875, 0.028717041015625, 0.05181884765625, -0.053192138671875, -0.015777587890625, -0.031494140625, ...
clarin-pl/multiwiki_90k
2022-01-24T18:49:03.000Z
[ "region:us" ]
clarin-pl
Multi-Wiki90k: Multilingual benchmark dataset for paragraph segmentation
null
1
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
davanstrien/test_push_to_hub_image
2022-02-15T12:15:59.000Z
[ "region:us" ]
davanstrien
null
null
0
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
huggingartists/adele
2022-10-25T09:22:32.000Z
[ "language:en", "huggingartists", "lyrics", "region:us" ]
huggingartists
This dataset is designed to generate lyrics with HuggingArtists.
@InProceedings{huggingartists:dataset, title = {Lyrics dataset}, author={Aleksey Korshuk }, year={2021} }
0
88
2022-03-02T23:29:22
--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/adele" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to us...
7,140
[ [ -0.043121337890625, -0.0382080078125, 0.00391387939453125, 0.0245208740234375, -0.01629638671875, -0.0007982254028320312, -0.0190277099609375, -0.0352783203125, 0.062164306640625, 0.0269317626953125, -0.06695556640625, -0.0645751953125, -0.0423583984375, 0.0...
zapsdcn/chemprot
2021-12-08T03:17:13.000Z
[ "region:us" ]
zapsdcn
null
null
0
88
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
hugginglearners/netflix-shows
2022-08-18T03:04:55.000Z
[ "license:cc0-1.0", "region:us" ]
hugginglearners
null
null
4
88
2022-08-18T03:04:50
--- license: - cc0-1.0 kaggle_id: infamouscoder/dataset-netflix-shows --- # Dataset Card for Dataset: NetFlix Shows ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tas...
2,812
[ [ -0.0268096923828125, -0.031341552734375, -0.00063323974609375, -0.00823211669921875, -0.01285552978515625, 0.005340576171875, 0.00734710693359375, 0.01177978515625, 0.04559326171875, 0.05908203125, -0.06671142578125, -0.053497314453125, -0.045257568359375, 0...
mitclinicalml/clinical-ie
2022-12-01T16:34:20.000Z
[ "arxiv:2205.12689", "arxiv:2010.02010", "arxiv:1806.04185", "region:us" ]
mitclinicalml
null
@inproceedings{agrawal2022large, title={Large Language Models are Few-Shot Clinical Information Extractors}, author={Monica Agrawal and Stefan Hegselmann and Hunter Lang and Yoon Kim and David Sontag}, booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing}, ...
20
88
2022-10-21T23:00:31
--- {} --- Below, we provide access to the datasets used in and created for the EMNLP 2022 paper [Large Language Models are Few-Shot Clinical Information Extractors](https://arxiv.org/abs/2205.12689). # Task #1: Clinical Sense Disambiguation For Task #1, we use the original annotations from the [Clinical Acronym Sens...
5,501
[ [ -0.00804901123046875, -0.044036865234375, 0.056396484375, 0.0019207000732421875, -0.01351165771484375, -0.03289794921875, -0.011474609375, -0.04754638671875, 0.0305328369140625, 0.045654296875, -0.02984619140625, -0.05206298828125, -0.06561279296875, 0.03515...
Dahoas/rm-hh-rlhf
2022-12-22T16:45:57.000Z
[ "region:us" ]
Dahoas
null
null
1
88
2022-12-16T22:20:50
Entry not found
15
[ [ -0.02142333984375, -0.014984130859375, 0.057220458984375, 0.0288238525390625, -0.03509521484375, 0.04656982421875, 0.052520751953125, 0.00506591796875, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060455322265625, 0.03793334...
keremberke/nfl-object-detection
2023-01-29T12:37:17.000Z
[ "task_categories:object-detection", "roboflow", "roboflow2huggingface", "region:us" ]
keremberke
null
@misc{ nfl-competition_dataset, title = { NFL-competition Dataset }, type = { Open Source Dataset }, author = { home }, howpublished = { \\url{ https://universe.roboflow.com/home-mxzv1/nfl-competition } }, url = { https://universe.roboflow.com/home-mxzv1/nfl-competition }, journal = { Roboflow U...
4
88
2022-12-30T10:37:59
--- task_categories: - object-detection tags: - roboflow - roboflow2huggingface --- <div align="center"> <img width="640" alt="keremberke/nfl-object-detection" src="https://huggingface.co/datasets/keremberke/nfl-object-detection/resolve/main/thumbnail.jpg"> </div> ### Dataset Labels ``` ['helmet', 'helmet-blurred...
2,141
[ [ -0.04510498046875, -0.0283660888671875, 0.0095367431640625, 0.01004791259765625, -0.0316162109375, -0.001483917236328125, 0.0022945404052734375, -0.056396484375, 0.02947998046875, 0.01535797119140625, -0.05377197265625, -0.05633544921875, -0.039520263671875, ...
Francesco/brain-tumor-m2pbp
2023-03-30T09:11:06.000Z
[ "task_categories:object-detection", "annotations_creators:crowdsourced", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "license:cc", "rf100", "region:us" ]
Francesco
null
null
2
88
2023-03-30T09:10:00
--- dataset_info: features: - name: image_id dtype: int64 - name: image dtype: image - name: width dtype: int32 - name: height dtype: int32 - name: objects sequence: - name: id dtype: int64 - name: area dtype: int64 - name: bbox sequence: float32 lengt...
3,431
[ [ -0.038970947265625, -0.0460205078125, 0.0213470458984375, 0.004421234130859375, -0.0270233154296875, -0.02294921875, -0.0081787109375, -0.03436279296875, 0.0265045166015625, 0.035400390625, -0.04541015625, -0.07177734375, -0.046661376953125, 0.00535964965820...
winglian/visual-novels-json
2023-06-17T03:08:49.000Z
[ "region:us" ]
winglian
null
null
1
88
2023-06-17T03:08:20
Entry not found
15
[ [ -0.02142333984375, -0.014984130859375, 0.057220458984375, 0.0288238525390625, -0.03509521484375, 0.04656982421875, 0.052520751953125, 0.00506591796875, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060455322265625, 0.03793334...
marclove/llama_functions
2023-08-03T17:31:48.000Z
[ "task_categories:conversational", "task_categories:text-generation", "size_categories:10K<n<100K", "language:en", "license:cc-by-sa-4.0", "region:us" ]
marclove
null
null
6
88
2023-07-26T23:55:21
--- license: cc-by-sa-4.0 task_categories: - conversational - text-generation language: - en pretty_name: Llama Functions size_categories: - 10K<n<100K --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** https://marclove.com - **Repository:** https://huggingface.co/datasets/marclove/llama_funct...
5,221
[ [ -0.0231781005859375, -0.07379150390625, 0.018341064453125, 0.036895751953125, -0.026123046875, -0.00038361549377441406, -0.0211181640625, -0.0533447265625, 0.03564453125, 0.02850341796875, -0.058929443359375, -0.0460205078125, -0.024139404296875, 0.018936157...
q-allen/opentix-faq
2023-10-12T10:26:28.000Z
[ "region:us" ]
q-allen
null
null
0
88
2023-10-12T10:12:28
Entry not found
15
[ [ -0.0213775634765625, -0.014984130859375, 0.05718994140625, 0.0288543701171875, -0.0350341796875, 0.046478271484375, 0.052520751953125, 0.005062103271484375, 0.051361083984375, 0.016998291015625, -0.0521240234375, -0.01496124267578125, -0.0604248046875, 0.037...
kannada_news
2023-01-25T14:33:33.000Z
[ "task_categories:text-classification", "task_ids:topic-classification", "annotations_creators:other", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:kn", "license:cc-by-sa-4.0", "region:us" ]
null
The Kannada news dataset contains only the headlines of news article in three categories: Entertainment, Tech, and Sports. The data set contains around 6300 news article headlines which collected from Kannada news websites. The data set has been cleaned and contains train and test set using which can be used to benchm...
null
1
87
2022-03-02T23:29:22
--- annotations_creators: - other language_creators: - other language: - kn license: - cc-by-sa-4.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: - topic-classification pretty_name: KannadaNews Dataset dataset_info: features: ...
4,873
[ [ -0.01535797119140625, -0.041107177734375, 0.0013713836669921875, 0.035797119140625, -0.045257568359375, 0.003253936767578125, -0.0186767578125, -0.005615234375, 0.0469970703125, 0.0252227783203125, -0.03973388671875, -0.049468994140625, -0.0499267578125, 0.0...
menyo20k_mt
2022-12-30T19:38:49.000Z
[ "task_categories:translation", "annotations_creators:expert-generated", "annotations_creators:found", "language_creators:found", "multilinguality:translation", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "language:yo", "license:cc-by-nc-4.0", "arxiv:2103.08647", "r...
null
MENYO-20k is a multi-domain parallel dataset with texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. The dataset has 20,100 parallel sentences split into 10,070 training sentences, ...
@dataset{david_ifeoluwa_adelani_2020_4297448, author = {David Ifeoluwa Adelani and Jesujoba O. Alabi and Damilola Adebonojo and Adesina Ayeni and Mofe Adeyemi and Ayodele Awokoya}, title = {MENYO-20k: A Multi-doma...
1
87
2022-03-02T23:29:22
--- annotations_creators: - expert-generated - found language_creators: - found language: - en - yo license: - cc-by-nc-4.0 multilinguality: - translation size_categories: - 10K<n<100K source_datasets: - original task_categories: - translation task_ids: [] paperswithcode_id: menyo-20k pretty_name: MENYO-20k dataset_inf...
6,325
[ [ -0.03466796875, -0.059967041015625, -0.004657745361328125, 0.0178985595703125, -0.0280914306640625, 0.012939453125, -0.0443115234375, -0.03338623046875, 0.0313720703125, 0.0241241455078125, -0.062103271484375, -0.05853271484375, -0.057037353515625, 0.0359802...
offenseval2020_tr
2023-01-25T14:41:59.000Z
[ "task_categories:text-classification", "annotations_creators:found", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:tr", "license:cc-by-2.0", "offensive-language-classification", "region:us" ]
null
OffensEval-TR 2020 is a Turkish offensive language corpus. The corpus consist of randomly sampled tweets and annotated in a similar way to OffensEval and GermEval.
@InProceedings{coltekin2020lrec, author = {Cagri Coltekin}, year = {2020}, title = {A Corpus of Turkish Offensive Language on Social Media}, booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, pages = {6174--6184}, address = {Marseille, France}, url = {https://www.aclweb.or...
3
87
2022-03-02T23:29:22
--- annotations_creators: - found language_creators: - found language: - tr license: - cc-by-2.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-classification task_ids: [] pretty_name: OffensEval-TR 2020 tags: - offensive-language-classification dataset_...
5,943
[ [ -0.00849151611328125, -0.05743408203125, -0.004940032958984375, 0.0140533447265625, -0.02764892578125, 0.008697509765625, -0.0203704833984375, -0.046722412109375, 0.019012451171875, 0.03643798828125, -0.03448486328125, -0.07794189453125, -0.0675048828125, 0....
opus_memat
2022-11-03T16:08:11.000Z
[ "task_categories:translation", "annotations_creators:found", "language_creators:found", "multilinguality:translation", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "language:xh", "license:unknown", "region:us" ]
null
Xhosa-English parallel corpora, funded by EPSRC, the Medical Machine Translation project worked on machine translation between ixiXhosa and English, with a focus on the medical domain.
J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
1
87
2022-03-02T23:29:22
--- annotations_creators: - found language_creators: - found language: - en - xh license: - unknown multilinguality: - translation size_categories: - 100K<n<1M source_datasets: - original task_categories: - translation task_ids: [] paperswithcode_id: null pretty_name: OpusMemat dataset_info: features: - name: trans...
3,349
[ [ -0.02752685546875, -0.0266571044921875, 0.01229095458984375, 0.02337646484375, -0.024444580078125, 0.006946563720703125, -0.0252227783203125, -0.0159149169921875, 0.0465087890625, 0.0374755859375, -0.0631103515625, -0.07525634765625, -0.052490234375, 0.02462...
polsum
2022-11-03T16:07:56.000Z
[ "task_categories:summarization", "task_ids:news-articles-summarization", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:n<1K", "source_datasets:original", "language:pl", "license:cc-by-3.0", "region:us" ]
null
Polish Summaries Corpus: the corpus of Polish news summaries.
@inproceedings{ ogro:kop:14:lrec, author = "Ogrodniczuk, Maciej and Kopeć, Mateusz", pdf = "http://nlp.ipipan.waw.pl/Bib/ogro:kop:14:lrec.pdf", title = "The {P}olish {S}ummaries {C}orpus", pages = "3712--3715", crossref = "lrec:14" } @proceedings{ lrec:14, editor = "Calzolari, Nicoletta ...
1
87
2022-03-02T23:29:22
--- annotations_creators: - expert-generated language_creators: - expert-generated language: - pl license: - cc-by-3.0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - summarization task_ids: - news-articles-summarization paperswithcode_id: null pretty_name: Polish S...
47,857
[ [ -0.054779052734375, -0.04364013671875, 0.053314208984375, 0.01331329345703125, -0.037353515625, -0.0204925537109375, -0.0038089752197265625, -0.0364990234375, 0.054229736328125, 0.042510986328125, -0.044525146484375, -0.054962158203125, -0.04632568359375, 0....
py_ast
2022-11-18T21:40:05.000Z
[ "task_categories:text2text-generation", "task_categories:text-generation", "task_categories:fill-mask", "annotations_creators:machine-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:code", "license:bsd-2-claus...
null
Dataset consisting of parsed ASTs that were used to train and evaluate the DeepSyn tool. The Python programs are collected from GitHub repositories by removing duplicate files, removing project forks (copy of another existing repository) ,keeping only programs that parse and have at most 30'000 nodes in the AST and we ...
@InProceedings{OOPSLA ’16, ACM, title = {Probabilistic Model for Code with Decision Trees.}, authors={Raychev, V., Bielik, P., and Vechev, M.}, year={2016} }
3
87
2022-03-02T23:29:22
--- pretty_name: PyAst annotations_creators: - machine-generated language_creators: - found language: - code license: - bsd-2-clause - mit multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - text2text-generation - text-generation - fill-mask task_ids: [] paperswith...
5,688
[ [ -0.01027679443359375, -0.0474853515625, 0.012786865234375, 0.0135955810546875, -0.00048828125, 0.007236480712890625, -0.0290069580078125, -0.0176544189453125, 0.002490997314453125, 0.03033447265625, -0.04376220703125, -0.06512451171875, -0.037109375, 0.00661...
telugu_books
2022-11-03T16:07:57.000Z
[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:n<1K", "source_datasets:original", "lang...
null
This dataset is created by scraping telugu novels from teluguone.com this dataset can be used for nlp tasks like topic modeling, word embeddings, transfer learning etc
@InProceedings{huggingface:dataset, title = {Indic NLP - Natural Language Processing for Indian Languages}, authors = {Sudalai Rajkumar, Anusha Motamarri}, year={2019} }
1
87
2022-03-02T23:29:22
--- annotations_creators: - expert-generated language_creators: - expert-generated language: - te license: - unknown multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - text-generation - fill-mask task_ids: - language-modeling - masked-language-modeling paperswithcode_i...
3,163
[ [ -0.00691986083984375, -0.025634765625, -0.0097808837890625, 0.01166534423828125, -0.03448486328125, 0.00875091552734375, -0.0114898681640625, -0.0181884765625, 0.045257568359375, 0.037353515625, -0.051513671875, -0.052276611328125, -0.042510986328125, 0.0236...
turkish_shrinked_ner
2023-01-25T14:54:44.000Z
[ "task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:machine-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:extended|other-turkish_ner", "language:tr", "license:cc-by-4.0", ...
null
Shrinked version (48 entity type) of the turkish_ner. Original turkish_ner dataset: Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under...
\
1
87
2022-03-02T23:29:22
--- annotations_creators: - machine-generated language_creators: - expert-generated language: - tr license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - extended|other-turkish_ner task_categories: - token-classification task_ids: - named-entity-recognition pretty_name: Turk...
6,813
[ [ -0.047119140625, -0.046417236328125, 0.0058135986328125, 0.006572723388671875, -0.0238800048828125, -0.0018796920776367188, -0.03485107421875, -0.0262908935546875, 0.04168701171875, 0.041168212890625, -0.04998779296875, -0.0706787109375, -0.06231689453125, 0...
yoruba_wordsim353
2022-11-03T16:07:49.000Z
[ "task_categories:text-classification", "task_ids:text-scoring", "task_ids:semantic-similarity-scoring", "annotations_creators:crowdsourced", "language_creators:expert-generated", "multilinguality:multilingual", "size_categories:n<1K", "source_datasets:original", "language:en", "language:yo", "li...
null
A translation of the word pair similarity dataset wordsim-353 to Yorùbá. The dataset was presented in the paper Alabi et al.: Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yorùbá and Twi (LREC 2020).
@inproceedings{alabi-etal-2020-massive, title = "Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of {Y}or{\\`u}b{\\'a} and {T}wi", author = "Alabi, Jesujoba and Amponsah-Kaakyire, Kwabena and Adelani, David and Espa{\\~n}a-Bonet, Cristina", booktitle = "Proceedings ...
0
87
2022-03-02T23:29:22
--- annotations_creators: - crowdsourced language_creators: - expert-generated language: - en - yo license: - unknown multilinguality: - multilingual size_categories: - n<1K source_datasets: - original task_categories: - text-classification task_ids: - text-scoring - semantic-similarity-scoring paperswithcode_id: null ...
3,884
[ [ -0.040283203125, -0.052978515625, 0.0121002197265625, 0.01824951171875, -0.033477783203125, -0.003078460693359375, -0.03125, -0.03192138671875, 0.057647705078125, 0.039764404296875, -0.057769775390625, -0.057098388671875, -0.061248779296875, 0.02011108398437...
Abirate/code_net_test_final_dataset
2022-01-27T10:15:52.000Z
[ "region:us" ]
Abirate
null
null
1
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
Aisha/BAAD6
2022-10-22T05:30:28.000Z
[ "task_categories:text-classification", "task_ids:multi-class-classification", "annotations_creators:found", "annotations_creators:crowdsourced", "annotations_creators:expert-generated", "language_creators:found", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:unkno...
Aisha
null
null
0
87
2022-03-02T23:29:22
--- annotations_creators: - found - crowdsourced - expert-generated language_creators: - found - crowdsourced language: - bn license: - cc-by-4.0 multilinguality: - monolingual pretty_name: 'BAAD6: Bangla Authorship Attribution Dataset (6 Authors)' size_categories: - unknown source_datasets: - original task_categories:...
2,490
[ [ 0.0017557144165039062, -0.012176513671875, 0.01554107666015625, 0.016021728515625, -0.02728271484375, -0.004085540771484375, 0.013336181640625, -0.0213470458984375, 0.0272369384765625, 0.0240325927734375, -0.006641387939453125, -0.02972412109375, -0.058685302734...
AndrewMcDowell/de_corpora_parliament_processed
2022-02-04T15:45:27.000Z
[ "region:us" ]
AndrewMcDowell
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.021392822265625, -0.01494598388671875, 0.05718994140625, 0.028839111328125, -0.0350341796875, 0.046539306640625, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.01702880859375, -0.052093505859375, -0.01494598388671875, -0.06036376953125, 0.03790...
Anurag-Singh-creator/task
2021-12-12T21:26:53.000Z
[ "region:us" ]
Anurag-Singh-creator
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.021392822265625, -0.01494598388671875, 0.05718994140625, 0.028839111328125, -0.0350341796875, 0.046539306640625, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.01702880859375, -0.052093505859375, -0.01494598388671875, -0.06036376953125, 0.03790...
Atsushi/fungi_diagnostic_chars_comparison_japanese
2023-10-08T21:35:23.000Z
[ "task_categories:text-classification", "task_ids:multi-class-classification", "annotations_creators:other", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:ja", "license:cc-by-4.0", "region:us" ]
Atsushi
null
null
0
87
2022-03-02T23:29:22
--- annotations_creators: - other language: - ja license: - cc-by-4.0 multilinguality: - monolingual source_datasets: - original task_categories: - text-classification task_ids: - multi-class-classification size_categories: - 100K<n<1M --- fungi_diagnostic_chars_comparison_japanese 大菌輪「識別形質まとめ」データセット 最終更新日：2023/10...
2,083
[ [ -0.032562255859375, -0.058197021484375, 0.0418701171875, 0.02728271484375, -0.044525146484375, -0.0105743408203125, 0.004909515380859375, -0.036895751953125, 0.07342529296875, 0.034820556640625, -0.0374755859375, -0.072998046875, -0.045135498046875, 0.058837...
Bosio/pacman
2021-09-28T16:00:06.000Z
[ "region:us" ]
Bosio
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.021392822265625, -0.01494598388671875, 0.05718994140625, 0.028839111328125, -0.0350341796875, 0.046539306640625, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.01702880859375, -0.052093505859375, -0.01494598388671875, -0.06036376953125, 0.03790...
Bosio/pacman_descriptions
2021-09-29T14:05:41.000Z
[ "region:us" ]
Bosio
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.021392822265625, -0.01494598388671875, 0.05718994140625, 0.028839111328125, -0.0350341796875, 0.046539306640625, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.01702880859375, -0.052093505859375, -0.01494598388671875, -0.06036376953125, 0.03790...
CyranoB/polarity
2022-10-25T08:54:09.000Z
[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "language:en", "license:apache-2.0", "arxiv:1509.01626", "regi...
CyranoB
The Amazon reviews dataset consists of reviews from amazon. The data span a period of 18 years, including ~35 million reviews up to March 2013. Reviews include product and user information, ratings, and a plaintext review.
@inproceedings{mcauley2013hidden, title={Hidden factors and hidden topics: understanding rating dimensions with review text}, author={McAuley, Julian and Leskovec, Jure}, booktitle={Proceedings of the 7th ACM conference on Recommender systems}, pages={165--172}, year={2013} }
1
87
2022-03-02T23:29:22
--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - apache-2.0 multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original task_categories: - text-classification task_ids: - sentiment-classification pretty_name: Amazon Review Polarity --- # Da...
5,298
[ [ -0.043609619140625, -0.038299560546875, 0.01763916015625, 0.0211334228515625, -0.0298004150390625, 0.01300811767578125, -0.015289306640625, -0.01617431640625, 0.03192138671875, 0.0732421875, -0.0648193359375, -0.0770263671875, -0.041107177734375, 0.006473541...
Finnish-NLP/mc4_fi_cleaned
2022-10-21T16:57:34.000Z
[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:extended|mc4", "language:fi", "region:us" ]
Finnish-NLP
null
null
3
87
2022-03-02T23:29:22
--- annotations_creators: [] language_creators: [] language: - fi license: [] multilinguality: - monolingual size_categories: - unknown source_datasets: - extended|mc4 task_categories: - text-generation - fill-mask task_ids: - language-modeling - masked-language-modeling pretty_name: mC4 Finnish Cleaned --- # Dataset...
2,983
[ [ -0.034912109375, -0.03179931640625, 0.025238037109375, 0.0016298294067382812, -0.021881103515625, 0.00894927978515625, -0.00763702392578125, -0.021240234375, 0.042266845703125, 0.054290771484375, -0.0640869140625, -0.07196044921875, -0.0418701171875, 0.02859...
IFSTalfredoswald/MBTI
2021-10-25T10:40:02.000Z
[ "region:us" ]
IFSTalfredoswald
null
null
1
87
2022-03-02T23:29:22
--- YAML tags: - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported ...
2,603
[ [ -0.03265380859375, -0.034698486328125, 0.00995635986328125, 0.0190277099609375, -0.01482391357421875, 0.016937255859375, -0.02294921875, -0.025665283203125, 0.0458984375, 0.044097900390625, -0.0626220703125, -0.083251953125, -0.05157470703125, 0.004974365234...
Jack0508/demo
2021-11-07T16:25:20.000Z
[ "region:us" ]
Jack0508
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
Jeska/vaccinchat
2021-10-21T12:14:29.000Z
[ "region:us" ]
Jeska
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
LysandreJik/demo4
2021-09-25T20:02:48.000Z
[ "region:us" ]
LysandreJik
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
Mansooreh/sharif-emotional-speech-dataset
2021-10-19T23:33:59.000Z
[ "arxiv:1906.01155", "region:us" ]
Mansooreh
null
null
0
87
2022-03-02T23:29:22
# <a href='https://arxiv.org/pdf/1906.01155.pdf'>ShEMO: a large-scale validated database for Persian speech emotion detection</a><br> ## Abstract <div align="justify"> This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-na...
4,754
[ [ -0.0325927734375, -0.03863525390625, 0.004634857177734375, 0.008941650390625, -0.02093505859375, 0.00197601318359375, -0.03338623046875, -0.021881103515625, -0.001201629638671875, 0.002002716064453125, -0.0433349609375, -0.0625, -0.047271728515625, 0.0186920...
NbAiLab/norec_agg
2022-07-01T19:53:24.000Z
[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "license:cc-by-4.0", "arxiv:2011.02686", "region:u...
NbAiLab
Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC_fine and removing sentences with conflicting or no sentiment.
@InProceedings{OvrMaeBar20, author = {Lilja {\O}vrelid and Petter M{\ae}hlum and Jeremy Barnes and Erik Velldal}, title = {A Fine-grained Sentiment Dataset for {N}orwegian}, booktitle = {{Proceedings of the 12th Edition of the Language Resources and Evaluation Conference}}, year = 2020, address = "Marseille, ...
0
87
2022-03-02T23:29:22
--- annotations_creators: - expert-generated language_creators: - found language: - en license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: - sentiment-classification --- # Dataset Card Creation Guide ## Table of C...
3,405
[ [ -0.03729248046875, -0.0513916015625, 0.0089874267578125, 0.013397216796875, -0.02496337890625, -0.010772705078125, -0.025390625, -0.031707763671875, 0.036651611328125, 0.0369873046875, -0.055084228515625, -0.07305908203125, -0.035858154296875, 0.008956909179...
alvp/autonlp-data-alberti-stanza-names
2021-11-19T13:26:10.000Z
[ "task_categories:text-classification", "region:us" ]
alvp
null
null
0
87
2022-03-02T23:29:22
--- task_categories: - text-classification --- # AutoNLP Dataset for project: alberti-stanza-names ## Table of content - [Dataset Description](#dataset-description) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data S...
14,604
[ [ -0.0250244140625, -0.018585205078125, 0.016998291015625, 0.039581298828125, -0.033843994140625, 0.0070343017578125, 0.014007568359375, -0.03204345703125, 0.058319091796875, 0.05133056640625, -0.051849365234375, -0.050811767578125, -0.0247344970703125, 0.0323...
alvp/autonlp-data-alberti-stanzas-finetuning
2021-11-19T12:46:22.000Z
[ "task_categories:text-classification", "region:us" ]
alvp
null
null
0
87
2022-03-02T23:29:22
--- task_categories: - text-classification --- # AutoNLP Dataset for project: alberti-stanzas-finetuning ## Table of content - [Dataset Description](#dataset-description) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [...
2,053
[ [ -0.035400390625, -0.01074981689453125, 0.006710052490234375, 0.022369384765625, -0.00879669189453125, 0.0211944580078125, -0.01331329345703125, -0.0203857421875, 0.026947021484375, 0.036712646484375, -0.034576416015625, -0.072265625, -0.039306640625, 0.01837...
arch-raven/MAMI
2022-01-06T17:55:22.000Z
[ "region:us" ]
arch-raven
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
artemis13fowl/github-issues
2022-01-15T05:56:13.000Z
[ "region:us" ]
artemis13fowl
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
astarostap/autonlp-data-antisemitism-2
2022-10-25T09:07:21.000Z
[ "task_categories:text-classification", "language:en", "region:us" ]
astarostap
null
null
0
87
2022-03-02T23:29:22
--- language: - en task_categories: - text-classification --- # AutoNLP Dataset for project: antisemitism-2 ## Table of content - [Dataset Description](#dataset-description) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) -...
1,211
[ [ -0.038330078125, -0.00939178466796875, -0.0021114349365234375, 0.00568389892578125, -0.02252197265625, 0.021942138671875, -0.0121917724609375, -0.0227813720703125, 0.0211334228515625, 0.0311431884765625, -0.025726318359375, -0.058563232421875, -0.045074462890625...
azuur/gn_wiki_cleaned
2022-02-09T17:02:12.000Z
[ "region:us" ]
azuur
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
be4rr/github-issues
2022-02-23T12:05:51.000Z
[ "region:us" ]
be4rr
null
null
1
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
benjaminbeilharz/daily_dialog_w_turn_templates
2022-02-26T17:54:18.000Z
[ "region:us" ]
benjaminbeilharz
null
null
1
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0213775634765625, -0.01497650146484375, 0.05718994140625, 0.02880859375, -0.0350341796875, 0.046478271484375, 0.052490234375, 0.00507354736328125, 0.051361083984375, 0.0170135498046875, -0.052093505859375, -0.01497650146484375, -0.0604248046875, 0.0379028...
bhadresh-savani/web_split
2021-10-15T06:42:18.000Z
[ "region:us" ]
bhadresh-savani
null
null
1
87
2022-03-02T23:29:22
Work In progress!
17
[ [ -0.0019359588623046875, 0.0053253173828125, 0.053558349609375, 0.03955078125, -0.00579833984375, 0.00910186767578125, 0.0195465087890625, -0.005817413330078125, 0.045745849609375, 0.08013916015625, -0.02423095703125, -0.011749267578125, -0.056396484375, 0.00...
bs-modeling-metadata/c4-en-html-with-metadata
2022-08-18T13:01:15.000Z
[ "region:us" ]
bs-modeling-metadata
null
null
5
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
bs-modeling-metadata/c4_newslike_url_only
2021-09-20T11:14:17.000Z
[ "region:us" ]
bs-modeling-metadata
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
bs-modeling-metadata/website_metadata_c4
2021-11-24T14:04:30.000Z
[ "region:us" ]
bs-modeling-metadata
null
null
1
87
2022-03-02T23:29:22
The dataset is in the form of a json lines file with 1,20,000 examples, where an example consists of text (extracted from C4 English dataset) and metadata fields (website description extracted from Wikipedia). Example: ``` { "text": "US10289222B2 - Handling of touch events in a browser environment - Google Patents...
2,736
[ [ -0.0230255126953125, -0.052276611328125, 0.033203125, 0.006710052490234375, -0.006557464599609375, -0.01444244384765625, 0.0180511474609375, -0.0333251953125, 0.042999267578125, 0.044891357421875, -0.0545654296875, -0.03619384765625, -0.0299835205078125, 0.0...
castorini/msmarco_v2_passage_doc2query-t5_expansions
2021-11-02T06:37:36.000Z
[ "language:English", "license:Apache License 2.0", "region:us" ]
castorini
null
null
0
87
2022-03-02T23:29:22
--- language: - English license: "Apache License 2.0" --- # Dataset Summary The repo provides queries generated for the MS MARCO v2 passage corpus with docTTTTTquery (sometimes written as docT5query or doc2query-T5), the latest version of the doc2query family of document expansion models. The basic idea is to t...
2,185
[ [ -0.016571044921875, -0.04742431640625, 0.044891357421875, 0.007701873779296875, -0.01300048828125, 0.011962890625, 0.0013875961303710938, -0.0279541015625, 0.01317596435546875, 0.05535888671875, -0.052276611328125, -0.055694580078125, -0.040924072265625, 0.0...
cestwc/adapted-sentcomp
2022-01-02T17:21:39.000Z
[ "region:us" ]
cestwc
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
cestwc/adapted-wordnet
2021-12-31T18:40:29.000Z
[ "region:us" ]
cestwc
null
null
1
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0214080810546875, -0.01494598388671875, 0.057159423828125, 0.02880859375, -0.035064697265625, 0.046478271484375, 0.052520751953125, 0.00505828857421875, 0.051361083984375, 0.016998291015625, -0.05206298828125, -0.01496124267578125, -0.06036376953125, 0.03...
cestwc/cnn_dailymail-snippets
2022-02-15T06:09:43.000Z
[ "region:us" ]
cestwc
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0214080810546875, -0.01494598388671875, 0.057159423828125, 0.02880859375, -0.035064697265625, 0.046478271484375, 0.052520751953125, 0.00505828857421875, 0.051361083984375, 0.016998291015625, -0.05206298828125, -0.01496124267578125, -0.06036376953125, 0.03...
cestwc/cnn_dailymail-test50
2021-12-16T17:40:40.000Z
[ "region:us" ]
cestwc
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.0214080810546875, -0.01494598388671875, 0.057159423828125, 0.02880859375, -0.035064697265625, 0.046478271484375, 0.052520751953125, 0.00505828857421875, 0.051361083984375, 0.016998291015625, -0.05206298828125, -0.01496124267578125, -0.06036376953125, 0.03...
cestwc/sac-approx-1
2022-01-02T19:14:27.000Z
[ "region:us" ]
cestwc
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
cgarciae/point-cloud-mnist
2021-10-31T23:09:55.000Z
[ "region:us" ]
cgarciae
The MNIST dataset consists of 70,000 28x28 black-and-white points in 10 classes (one for each digits), with 7,000 points per class. There are 60,000 training points and 10,000 test points.
# @article{lecun2010mnist, # title={MNIST handwritten digit database}, # author={LeCun, Yann and Cortes, Corinna and Burges, CJ}, # journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist}, # volume={2}, # year={2010} # } #
2
87
2022-03-02T23:29:22
# Point CLoud MNIST A point cloud version of the original MNIST. ![sample](https://huggingface.co/datasets/cgarciae/point-cloud-mnist/resolve/main/docs/sample.png) ## Getting Started ```python import matplotlib.pyplot as plt import numpy as np from datasets import load_dataset # load dataset dataset = load_datase...
1,690
[ [ -0.035430908203125, -0.0190277099609375, 0.0426025390625, 0.0177154541015625, -0.0281829833984375, -0.0286407470703125, 0.01432037353515625, -0.0097198486328125, 0.06207275390625, 0.0294647216796875, -0.03564453125, -0.053070068359375, -0.0447998046875, -0.0...
chenghao/mc4_sw_dedup
2021-12-09T02:25:03.000Z
[ "region:us" ]
chenghao
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
chitra/contradictionNLI
2021-12-29T10:45:19.000Z
[ "region:us" ]
chitra
null
null
0
87
2022-03-02T23:29:22
This data can help in solving contradiction detection problem. this data is picked from kaggle. reference - Contradictory, My DWatson
134
[ [ -0.0295562744140625, -0.043243408203125, 0.048797607421875, 0.02490234375, -0.01059722900390625, -0.00826263427734375, 0.03924560546875, -0.0240631103515625, -0.0035457611083984375, 0.033294677734375, -0.1007080078125, 0.00982666015625, -0.0443115234375, 0.0...
chopey/dhivehi
2021-11-30T03:41:11.000Z
[ "region:us" ]
chopey
null
null
0
87
2022-03-02T23:29:22
Dhivehi dataset for MNT
23
[ [ -0.002964019775390625, -0.00704193115234375, 0.009063720703125, 0.00859832763671875, -0.0304412841796875, -0.0029048919677734375, 0.00787353515625, 0.004138946533203125, 0.028533935546875, 0.04229736328125, -0.057037353515625, -0.039520263671875, -0.034545898437...
csikasote/bembaspeech_plus_jw_processed
2022-02-09T07:38:17.000Z
[ "region:us" ]
csikasote
null
null
0
87
2022-03-02T23:29:22
Entry not found
15
[ [ -0.02142333984375, -0.01495361328125, 0.05718994140625, 0.0288238525390625, -0.035064697265625, 0.046539306640625, 0.052520751953125, 0.005062103271484375, 0.0513916015625, 0.016998291015625, -0.052093505859375, -0.014984130859375, -0.060394287109375, 0.0379...
cylee/github-issues
2021-12-19T19:12:55.000Z
[ "arxiv:2005.00614", "region:us" ]
cylee
null
null
0
87
2022-03-02T23:29:22
# Dataset Card for GitHub Issues ## Dataset Description This dataset is created for the Hugging Face Datasets library course ### Dataset Summary GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is int...
10,567
[ [ -0.03924560546875, -0.043914794921875, 0.004718780517578125, 0.01885986328125, -0.00295257568359375, 0.004810333251953125, -0.01568603515625, -0.049530029296875, 0.035186767578125, 0.04119873046875, -0.052825927734375, -0.061614990234375, -0.039886474609375, ...