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 |
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safik/github-issues | 2022-02-13T10:16:06.000Z | [
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sangmini/FooReview | 2021-12-20T15:33:32.000Z | [
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sangmini/star_tagging | 2021-12-15T19:53:45.000Z | [
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samirt8/fr_corpora_parliament_processed | 2022-01-17T13:31:19.000Z | [
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sammy786/finnish_traindata | 2022-01-26T15:34:26.000Z | [
"region:us"
] | sammy786 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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sc2qa/sc2q_commoncrawl | 2022-03-30T18:34:35.000Z | [
"arxiv:2109.04689",
"region:us"
] | sc2qa | \ | @article{zhou2021generating,
author = {Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri},
title = "{Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning}",
conference = {The 2021 Conference on Empirical Methods in Natural Language Processi... | 1 | 2 | 2022-03-02T23:29:22 | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) | 270 | [
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sc2qa/sc2qa_commoncrawl | 2022-03-30T18:34:27.000Z | [
"arxiv:2109.04689",
"region:us"
] | sc2qa | \ | @article{zhou2021generating,
author = {Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri},
title = "{Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning}",
conference = {The 2021 Conference on Empirical Methods in Natural Language Processi... | 0 | 2 | 2022-03-02T23:29:22 | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) | 270 | [
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seamew/Hotel | 2021-08-25T09:02:36.000Z | [
"region:us"
] | seamew | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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seamew/THUCNews | 2021-06-22T09:02:34.000Z | [
"region:us"
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seanbethard/autonlp-data-summarization_model | 2021-08-26T19:21:03.000Z | [
"region:us"
] | seanbethard | null | null | 2 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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semeru/completeformer-masked | 2023-02-05T01:49:32.000Z | [
"region:us"
] | semeru | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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severo/autonlp-data-sentiment_detection-3c8bcd36 | 2021-06-10T17:24:30.000Z | [
"region:us"
] | severo | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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severo/embellishments | 2022-10-25T09:56:40.000Z | [
"annotations_creators:no-annotation",
"size_categories:n<1K",
"source_datasets:original",
"license:cc0-1.0",
"region:us"
] | severo | null | null | 2 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
license:
- cc0-1.0
size_categories:
- n<1K
source_datasets:
- original
pretty_name: Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900.
JPG
---
# Dataset Card for severo/embellishments
## Dataset Description
- **Homepage:** [Digitised Books - Images i... | 3,838 | [
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severo/wit | 2021-10-18T13:22:31.000Z | [
"region:us"
] | severo | Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set
of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its
size enables WIT to be used as a pretraining dataset for multimodal machine learning... | @article{srinivasan2021wit,
title={WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning},
author={Srinivasan, Krishna and Raman, Karthik and Chen, Jiecao and Bendersky, Michael and Najork, Marc},
journal={arXiv preprint arXiv:2103.01913},
year={2021}
} | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shahp7575/sia_pile_sample | 2022-01-04T05:11:03.000Z | [
"region:us"
] | shahp7575 | null | null | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shahp7575/sia_tp_sample | 2022-01-04T04:11:56.000Z | [
"region:us"
] | shahp7575 | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shanya/website_metadata_c4_toy | 2021-10-04T16:55:11.000Z | [
"region:us"
] | shanya | null | null | 0 | 2 | 2022-03-02T23:29:22 | A smaller version (100 samples) of https://huggingface.co/datasets/bs-modeling-metadata/website_metadata_c4 | 107 | [
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sharejing/BiPaR | 2021-03-31T03:33:00.000Z | [
"arxiv:1910.05040",
"region:us"
] | sharejing | null | null | 0 | 2 | 2022-03-02T23:29:22 | # BiPaR
> General Description
This repository contains datasets for EMNLP-IJCNLP 2019 paper "BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels" (Yimin Jing, Deyi Xiong and Yan Zhen). BiPaR is an extractive and manually annotated bilingual parallel novel-style machin... | 8,222 | [
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sheryylli/utr_total_reads | 2022-02-01T17:14:43.000Z | [
"region:us"
] | sheryylli | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shivam/marathi_pib_processed | 2022-01-28T16:24:32.000Z | [
"region:us"
] | shivam | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shivam/marathi_samanantar_processed | 2022-01-28T18:20:23.000Z | [
"region:us"
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shivam/test-translation | 2022-01-25T16:17:15.000Z | [
"region:us"
] | shivam | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shivmoha/squad-unanswerable | 2021-11-27T09:40:02.000Z | [
"region:us"
] | shivmoha | combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers
to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but
also determine when no answer is supported by the paragraph and abstain from an... | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250}... | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shivmoha/squad_adversarial_manual | 2021-12-17T11:22:45.000Z | [
"region:us"
] | shivmoha | This dataset is prepared with the same idea as the squad adversarial dataset, however all the examples have been curated
manually by the authors and are significantly more difficult. | @inproceedings{,
author = "Gagan Goel and
Shivam Mohan",
month = nov,
year = "2021",
address = "India",
} | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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shpotes/tfcol | 2021-11-16T21:49:16.000Z | [
"region:us"
] | shpotes | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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sia-precision-education/pile_cpp | 2022-02-11T18:18:46.000Z | [
"region:us"
] | sia-precision-education | null | null | 1 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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sia-precision-education/pile_js | 2022-02-05T20:23:12.000Z | [
"region:us"
] | sia-precision-education | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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sia-precision-education/sia_pile_sample | 2022-01-14T02:47:18.000Z | [
"region:us"
] | sia-precision-education | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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sijpapi/batch13 | 2021-09-07T11:52:24.000Z | [
"region:us"
] | sijpapi | \\nhttps://guillaumejaume.github.io/FUNSD/ | \\n@article{Jaume2019FUNSDAD,
title={FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents},
author={Guillaume Jaume and H. K. Ekenel and J. Thiran},
journal={2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)},
year={2019},
volume={2},
pages={1-6}
} | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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-0.014984130859375,
-0.060394287109375,
0.0379... |
softcatala/Tilde-MODEL-Catalan | 2022-10-24T17:38:21.000Z | [
"task_categories:text2text-generation",
"task_categories:translation",
"language_creators:machine-generated",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:extended|tilde_model",
"language:ca",
"language:de",
"license:cc-by-4.0",
"conditional-text-generation",
"regi... | softcatala | null | null | 1 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators: []
language_creators:
- machine-generated
language:
- ca
- de
license:
- cc-by-4.0
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- extended|tilde_model
task_categories:
- text2text-generation
- translation
task_ids: []
pretty_name: Catalan-German aligned corpora t... | 3,360 | [
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0.017517089... |
softcatala/open-source-english-catalan-corpus | 2022-10-24T17:38:59.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:ca",
"language:en",
"license:gpl-3.0",
"region:us"
] | softcatala | null | null | 1 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ca
- en
license:
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: open-source-english-catalan-corpus
---
# Datas... | 3,017 | [
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uva-irlab/trec-cast-2019-multi-turn | 2022-10-25T09:56:59.000Z | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"language:en",
"region:us"
] | uva-irlab | The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate Conversational Information
Seeking (CIS) research and to create a large-scale reusable test collection for conversational search systems.
The document corpus is 38,426,252 passages from the TREC Complex Answer Retrieval (CAR) and Mi... | @misc{dalton2020trec,
title={TREC CAsT 2019: The Conversational Assistance Track Overview},
author={Jeffrey Dalton and Chenyan Xiong and Jamie Callan},
year={2020},
eprint={2003.13624},
archivePrefix={arXiv},
primaryClass={cs.IR}
} | 0 | 2 | 2022-03-02T23:29:22 | ---
language:
- en
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
task_categories:
- text-retrieval
task_ids:
- document-retrieval
language_bcp47:
- en-US
---
# TREC Cast 2019
[TREC Cast](http://www.treccast.ai) have released a document collection with topics and qrels of which a subset has been annota... | 1,957 | [
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victor/autonlp-data-imdb-reviews-sentiment | 2021-07-06T18:58:51.000Z | [
"region:us"
] | victor | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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w11wo/imdb-javanese | 2022-10-25T10:01:48.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:found",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:jv",
"license:odbl",
"region:us"
] | w11wo | Large Movie Review Dataset translated to Javanese.
This is a dataset for binary sentiment classification containing substantially
more data than previous benchmark datasets. We provide a set of 25,000 highly
polar movie reviews for training, and 25,000 for testing. There is additional
unlabeled data for use as well... | \
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
title = {Learning Word Vectors for Sentiment Analysis},
booktitle = {Proceedings of the 49th Annual Meeting of the Associati... | 0 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- machine-generated
language:
- jv
license:
- odbl
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
extended:
- original
---
# Dataset Card for "imdb-... | 8,591 | [
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0.0189514160156... |
ysharma/rickandmorty | 2022-01-02T00:45:54.000Z | [
"region:us"
] | ysharma | null | null | 0 | 2 | 2022-03-02T23:29:22 | This dataset contains scripts for all episodes of Rick and Morty season 1,2, and 3.
Columns : index, season no., episode no., episode name, (character) name, line (dialogue) | 173 | [
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0.05334... |
yuanchuan/annotated_reference_strings | 2022-10-26T14:53:23.000Z | [
"task_categories:token-classification",
"task_ids:parsing",
"annotations_creators:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | yuanchuan | A repository of reference strings annotated using CSL processor using citations obtained from various sources. | @techreport{kee2021,
author = {Yuan Chuan Kee},
title = {Synthesis of a large dataset of annotated reference strings for developing citation parsers},
institution = {National University of Singapore},
year = {2021}
} | 1 | 2 | 2022-03-02T23:29:22 | ---
annotations_creators:
- other
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- parsing
pretty_name: Annotated Reference Strings
---
# Dataset Card for annotated... | 6,155 | [
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0.... |
yuvalkirstain/summ_screen_fd_t5_lm | 2022-01-09T15:31:46.000Z | [
"region:us"
] | yuvalkirstain | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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z-uo/female-LJSpeech-italian | 2022-10-23T04:56:44.000Z | [
"multilinguality:monolingual",
"language:it",
"region:us"
] | z-uo | null | null | 0 | 2 | 2022-03-02T23:29:22 | ---
task_ids:
- tts
language:
- it
task_categories:
- tts
multilinguality:
- monolingual
---
# Italian Male Voice
This dataset is an Italian version of [LJSpeech](https://keithito.com/LJ-Speech-Dataset/), that merge all female audio of the same speaker finded into [M-AILABS Speech Dataset](https://www.caito.de/2019... | 499 | [
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0.0276336669921875,
0.0233612060546875,
-0.08184814453125,
-0.031402587890625,
-0.03610229492187... |
zloelias/lenta-ru | 2021-11-30T21:43:38.000Z | [
"region:us"
] | zloelias | null | null | 0 | 2 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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0.037... |
ruanchaves/stan_small | 2022-10-20T19:13:12.000Z | [
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:unknown",
"word-segmentation",
"arxiv:1501.03210",
"region:us"
] | ruanchaves | Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al.. | @misc{bansal2015deep,
title={Towards Deep Semantic Analysis Of Hashtags},
author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
year={2015},
eprint={1501.03210},
archivePrefix={arXiv},
primaryClass={cs.IR}
} | 0 | 2 | 2022-03-05T07:02:09 | ---
annotations_creators:
- expert-generated
language_creators:
- machine-generated
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- structure-prediction
- conditional-text-generation
task_ids: []
pretty_name: STAN Small
tags:
- w... | 3,005 | [
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0.0052... |
wypoon/github-issues | 2022-03-06T20:45:08.000Z | [
"region:us"
] | wypoon | null | null | 0 | 2 | 2022-03-06T20:42:28 | Entry not found | 15 | [
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0.0379... |
gustavecortal/fr_covid_news | 2022-10-20T19:01:24.000Z | [
"task_categories:text-classification",
"task_ids:topic-classification",
"task_ids:multi-label-classification",
"task_ids:multi-class-classification",
"task_ids:language-modeling",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K... | gustavecortal | null | null | 1 | 2 | 2022-03-06T21:28:35 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- fr
language_bcp47:
- fr-FR
license:
- unknown
multilinguality:
- monolingual
pretty_name: COVID-19 French News dataset
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
- sequence-modeling... | 4,112 | [
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0.00... |
teven/hal_tests | 2022-03-07T07:16:13.000Z | [
"region:us"
] | teven | null | null | 0 | 2 | 2022-03-07T04:45:55 | Entry not found | 15 | [
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0... |
mateiut1/sv_corpora_parliament_processed | 2022-03-07T09:25:49.000Z | [
"region:us"
] | mateiut1 | null | null | 0 | 2 | 2022-03-07T09:25:14 | Entry not found | 15 | [
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0... |
flxclxc/en-no-semantic-search-set | 2022-03-07T16:07:01.000Z | [
"region:us"
] | flxclxc | null | null | 0 | 2 | 2022-03-07T16:06:54 | Entry not found | 15 | [
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Sunghun/Example2 | 2022-03-07T22:14:47.000Z | [
"region:us"
] | Sunghun | null | null | 0 | 2 | 2022-03-07T19:53:33 | Entry not found | 15 | [
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0.0379... |
pensieves/mimicause | 2022-03-29T14:54:48.000Z | [
"license:apache-2.0",
"arxiv:2110.07090",
"region:us"
] | pensieves | MIMICause Dataset: A dataset for representation and automatic extraction of causal relation types from clinical notes.
The dataset has 2714 samples having both explicit and implicit causality in which entities are in the same sentence or different sentences.
The dataset has following nine semantic causal relations (wit... | @inproceedings{khetan-etal-2022-mimicause,
title={MIMICause: Representation and automatic extraction of causal relation types from clinical notes},
author={Vivek Khetan and Md Imbesat Hassan Rizvi and Jessica Huber and Paige Bartusiak and Bogdan Sacaleanu and Andrew Fano},
booktitle ={Findings of the Associ... | 3 | 2 | 2022-03-07T20:33:38 | ---
license: apache-2.0
pretty_name: MIMICause
---
# Dataset Card for "MIMICause"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-in... | 3,535 | [
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ayberkuckun/hu_corpora_parliament_processed | 2022-03-07T21:29:16.000Z | [
"region:us"
] | ayberkuckun | null | null | 0 | 2 | 2022-03-07T21:29:08 | Entry not found | 15 | [
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chiarab/tweet-text-full | 2022-03-08T00:11:26.000Z | [
"region:us"
] | chiarab | null | null | 0 | 2 | 2022-03-08T00:06:32 | Entry not found | 15 | [
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nielsr/rvl-cdip-demo | 2022-03-08T09:01:24.000Z | [
"region:us"
] | nielsr | null | null | 0 | 2 | 2022-03-08T09:01:23 | Entry not found | 15 | [
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lhoestq/test_none_image | 2022-03-08T10:43:21.000Z | [
"region:us"
] | lhoestq | null | null | 0 | 2 | 2022-03-08T10:40:21 | Entry not found | 15 | [
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Noricum/der_standard_processed | 2022-03-08T11:32:21.000Z | [
"region:us"
] | Noricum | null | null | 0 | 2 | 2022-03-08T11:21:18 | Entry not found | 15 | [
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0.0379... |
davanstrien/iiif_biblissima_w_image | 2022-03-08T15:43:29.000Z | [
"region:us"
] | davanstrien | null | null | 0 | 2 | 2022-03-08T13:03:24 | Entry not found | 15 | [
[
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-0.060394287109375,
0.0379... |
Huseyin/tummul | 2022-03-08T15:52:02.000Z | [
"region:us"
] | Huseyin | null | null | 0 | 2 | 2022-03-08T15:50:24 | Entry not found | 15 | [
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Marianina/Example2 | 2022-03-09T14:52:33.000Z | [
"region:us"
] | Marianina | null | null | 0 | 2 | 2022-03-08T17:36:11 | Entry not found | 15 | [
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franz96521/BilletesMexico | 2022-03-08T19:35:58.000Z | [
"region:us"
] | franz96521 | null | null | 0 | 2 | 2022-03-08T19:32:59 | Entry not found | 15 | [
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jquiros/clean | 2022-03-08T20:48:57.000Z | [
"region:us"
] | jquiros | null | null | 1 | 2 | 2022-03-08T20:46:20 | Entry not found | 15 | [
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0.0379... |
SocialGrep/the-antiwork-subreddit-dataset | 2022-07-01T17:57:34.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | This dataset follows the notorious subreddit /r/Antiwork, a place for many Redditors to share resources and discuss grievances with the current labour market. | null | 1 | 2 | 2022-03-08T21:09:51 | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for the-antiwork-subreddit-dataset
## Table of Contents
- [Dataset Description](#dat... | 3,829 | [
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chiarab/jan-2021-unlabeled-full | 2022-03-09T05:01:37.000Z | [
"region:us"
] | chiarab | null | null | 0 | 2 | 2022-03-09T05:00:43 | Entry not found | 15 | [
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chiarab/combined-train | 2022-03-09T05:57:39.000Z | [
"region:us"
] | chiarab | null | null | 0 | 2 | 2022-03-09T05:57:21 | Entry not found | 15 | [
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chiarab/may-2020-unlabeled-full | 2022-03-09T06:34:32.000Z | [
"region:us"
] | chiarab | null | null | 0 | 2 | 2022-03-09T06:34:09 | Entry not found | 15 | [
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0.0379... |
abdusah/adi5 | 2022-03-13T11:39:27.000Z | [
"region:us"
] | abdusah | null | null | 0 | 2 | 2022-03-09T10:28:21 | Entry not found | 15 | [
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0.0379... |
albertvillanova/wikipedia | 2022-03-09T12:08:10.000Z | [
"region:us"
] | albertvillanova | null | null | 1 | 2 | 2022-03-09T12:01:58 | Entry not found | 15 | [
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ia-bentebib/tweet_eval_sentiment_fr | 2022-03-09T14:40:51.000Z | [
"region:us"
] | ia-bentebib | null | null | 0 | 2 | 2022-03-09T14:40:39 | Entry not found | 15 | [
[
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fuliucansheng/unitorch-datasets | 2023-05-31T11:11:35.000Z | [
"region:us"
] | fuliucansheng | null | null | 0 | 2 | 2022-03-09T15:56:14 | Entry not found | 15 | [
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davanstrien/iiif_manuscripts_label_ge_100 | 2022-03-09T17:25:22.000Z | [
"region:us"
] | davanstrien | null | null | 0 | 2 | 2022-03-09T17:22:09 | Entry not found | 15 | [
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agemagician/u50_test | 2022-03-09T21:24:22.000Z | [
"region:us"
] | agemagician | null | null | 0 | 2 | 2022-03-09T21:23:01 | Entry not found | 15 | [
[
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ArnavL/TWTEval-Pretraining-Processed | 2022-03-10T03:52:36.000Z | [
"region:us"
] | ArnavL | null | null | 0 | 2 | 2022-03-10T03:52:27 | Entry not found | 15 | [
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sasha/pii-oscar-sample | 2022-03-10T18:35:33.000Z | [
"region:us"
] | sasha | null | null | 0 | 2 | 2022-03-10T18:32:17 | Entry not found | 15 | [
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ruanchaves/reddit_china | 2022-03-10T20:10:55.000Z | [
"region:us"
] | ruanchaves | Reddit comments with the word 'China' between 2010 and 2022. | 0 | 2 | 2022-03-10T19:39:58 | Entry not found | 15 | [
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yjernite/datasets_clusters | 2022-04-15T17:32:23.000Z | [
"region:us"
] | yjernite | null | null | 0 | 2 | 2022-03-10T22:42:28 | Entry not found | 15 | [
[
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McGill-NLP/feedbackQA | 2023-06-14T17:27:23.000Z | [
"license:apache-2.0",
"arxiv:2204.03025",
"region:us"
] | McGill-NLP | FeedbackQA is a retrieval-based QA dataset that contains interactive feedback from users. It has two parts: the first part contains a conventional RQA dataset, whilst this repo contains the second part, which contains feedback(ratings and natural language explanations) for QA pairs. | 4 | 2 | 2022-03-10T23:50:07 | ---
license: apache-2.0
---
# Dataset Card for FeedbackQA
[📄 Read](https://arxiv.org/pdf/2204.03025.pdf)<br>
[💾 Code](https://github.com/McGill-NLP/feedbackqa)<br>
[🔗 Webpage](https://mcgill-nlp.github.io/feedbackqa/)<br>
[💻 Demo](http://206.12.100.48:8080/)<br>
[🤗 Huggingface Dataset](https://huggingface.co/dat... | 1,514 | [
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Biomedical-TeMU/SPACCC_Sentence-Splitter | 2022-03-11T02:09:00.000Z | [
"license:cc-by-4.0",
"region:us"
] | Biomedical-TeMU | null | null | 0 | 2 | 2022-03-11T01:59:57 | ---
license: cc-by-4.0
---
# The Sentence Splitter (SS) for Clinical Cases Written in Spanish
## Introduction
This repository contains the sentence splitting model trained using the SPACCC_SPLIT corpus (https://github.com/PlanTL-SANIDAD/SPACCC_SPLIT). The model was trained using the 90% of the corpus (900 clin... | 5,383 | [
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Biomedical-TeMU/SPACCC_Tokenizer | 2022-03-11T02:18:16.000Z | [
"license:cc-by-4.0",
"region:us"
] | Biomedical-TeMU | null | null | 0 | 2 | 2022-03-11T02:14:02 | ---
license: cc-by-4.0
---
# The Tokenizer for Clinical Cases Written in Spanish
## Introduction
This repository contains the tokenization model trained using the SPACCC_TOKEN corpus (https://github.com/PlanTL-SANIDAD/SPACCC_TOKEN). The model was trained using the 90% of the corpus (900 clinical cases) and tes... | 5,099 | [
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0... |
GEM-submissions/ratishsp__macro__1646998904 | 2022-03-11T11:41:47.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 2 | 2022-03-11T11:41:45 | ---
benchmark: gem
type: prediction
submission_name: Macro
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: Macro
| 136 | [
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rubrix/big_patent_a_test_100 | 2022-03-11T17:22:14.000Z | [
"region:us"
] | rubrix | null | null | 0 | 2 | 2022-03-11T17:22:10 | Entry not found | 15 | [
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GEM-submissions/v2-outputs-and-scores | 2023-06-12T02:32:13.000Z | [
"region:us"
] | GEM-submissions | null | null | 0 | 2 | 2022-03-11T20:05:18 | Entry not found | 15 | [
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solomonk/reddit | 2022-03-11T21:09:05.000Z | [
"region:us"
] | solomonk | null | null | 0 | 2 | 2022-03-11T20:40:42 | Entry not found | 15 | [
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Zeel/common | 2022-10-25T10:22:40.000Z | [
"language:en",
"region:us"
] | Zeel | null | null | 0 | 2 | 2022-03-12T00:18:08 | ---
language:
- en
pretty_name: common
---
# Dataset Card for Zeel/common
| 75 | [
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microsoft/CLUES | 2022-03-25T22:05:58.000Z | [
"license:mit",
"region:us"
] | microsoft | null | null | 3 | 2 | 2022-03-12T01:26:23 | ---
license: mit
---
# CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
This repo contains the data for the NeurIPS 2021 benchmark [Constrained Language Understanding Evaluation Standard (CLUES)](https://openreview.net/pdf?id=VhIIQBm00VI).
## Leaderboard
We maintain a [Leaderboard](ht... | 14,260 | [
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rakkaalhazimi/hotel-review | 2022-03-12T07:23:47.000Z | [
"license:gpl-3.0",
"region:us"
] | rakkaalhazimi | null | null | 0 | 2 | 2022-03-12T05:52:57 | ---
license: gpl-3.0
---
# Review Hotel in Indonesia
### Dataset Summary
Data about reviews of hotels in Indonesia
### Languages
Indonesia
## Dataset Structure
### Data Fields
- review_id : unique identification code of each review
- review_text : the main review of text
- category : label f... | 366 | [
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jglaser/protein_ligand_contacts | 2022-03-15T21:17:32.000Z | [
"molecules",
"chemistry",
"SMILES",
"region:us"
] | jglaser | A dataset to fine-tune language models on protein-ligand binding affinity and contact prediction. | @InProceedings{huggingface:dataset,
title = {jglaser/protein_ligand_contacts},
author={Jens Glaser, ORNL
},
year={2022}
} | 3 | 2 | 2022-03-12T07:09:53 | ---
tags:
- molecules
- chemistry
- SMILES
---
## How to use the data sets
This dataset contains more than 16,000 unique pairs of protein sequences and ligand SMILES with experimentally determined
binding affinities and protein-ligand contacts (ligand atom/SMILES token vs. Calpha within 5 Angstrom). These
are represe... | 1,515 | [
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lanesket/r-lang-dataset | 2022-03-12T21:19:59.000Z | [
"region:us"
] | lanesket | null | null | 0 | 2 | 2022-03-12T21:19:23 | Entry not found | 15 | [
[
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0.0379... |
SetFit/catalonia_independence_ca | 2022-03-13T09:10:29.000Z | [
"region:us"
] | SetFit | null | null | 0 | 2 | 2022-03-13T02:43:15 | #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (https://huggingface.co/datasets/catalonia_independence) on the Hub. It has just the Catalan language version. | 224 | [
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SetFit/catalonia_independence_es | 2022-03-13T09:11:31.000Z | [
"region:us"
] | SetFit | null | null | 0 | 2 | 2022-03-13T02:44:02 | #catalonian independence tweet dataset
This dataset is a port of the official ['catalonia_independence' dataset] (https://huggingface.co/datasets/catalonia_independence) on the Hub. It has just the Spanish language version. | 224 | [
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multiIR/toy_data | 2022-03-14T10:33:27.000Z | [
"region:us"
] | multiIR | null | null | 0 | 2 | 2022-03-13T04:08:34 | #toy dataset
This is a small portion of the full dataset, used for testing and formatting purposes.
| 101 | [
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rocca/top-reddit-posts | 2022-03-23T05:16:33.000Z | [
"license:mit",
"region:us"
] | rocca | null | null | 0 | 2 | 2022-03-13T05:06:55 | ---
license: mit
---
The `post-data-by-subreddit.tar` file contains 5000 gzipped json files - one for each of the top 5000 subreddits (as roughly measured by subscriber count and comment activity). Each of those json files (e.g. `askreddit.json`) contains an array of the data for the top 1000 posts of all time.
... | 1,194 | [
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0.03134155273437... |
carbon12/evaluating_student_writing | 2022-03-13T13:03:06.000Z | [
"region:us"
] | carbon12 | 0 | 2 | 2022-03-13T05:16:30 | From the Evaluating Student Writing Kaggle competition. | 55 | [
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willcai/wav2vec2_common_voice_accents | 2022-03-13T05:59:37.000Z | [
"region:us"
] | willcai | null | null | 0 | 2 | 2022-03-13T05:42:52 | Entry not found | 15 | [
[
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0.0379... |
chiarab/just-vaccine | 2022-03-13T06:42:11.000Z | [
"region:us"
] | chiarab | null | null | 0 | 2 | 2022-03-13T06:41:34 | Entry not found | 15 | [
[
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0.0379... |
Parmann/speech_classification | 2022-03-13T08:32:04.000Z | [
"region:us"
] | Parmann | null | null | 0 | 2 | 2022-03-13T08:30:16 | This dataset contains MFCC feature extracted for 646 short speech audios | 72 | [
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gj1997/trial3 | 2022-03-13T09:06:43.000Z | [
"region:us"
] | gj1997 | null | null | 0 | 2 | 2022-03-13T09:05:38 | Entry not found | 15 | [
[
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-0.014984130859375,
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0.0379... |
stjokerli/TextToText_record_seqio | 2022-03-21T13:57:22.000Z | [
"region:us"
] | stjokerli | null | null | 0 | 2 | 2022-03-13T09:31:33 | Entry not found | 15 | [
[
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0.016998291015625,
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0.0379... |
joypersicanon/ph-en-text | 2022-03-17T13:30:52.000Z | [
"region:us"
] | joypersicanon | null | null | 0 | 2 | 2022-03-13T10:16:38 | [Needs More Information]
# Dataset Card for ph-en-text
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances... | 2,769 | [
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chiarab/us | 2022-03-13T19:29:25.000Z | [
"region:us"
] | chiarab | null | null | 0 | 2 | 2022-03-13T19:29:13 | Entry not found | 15 | [
[
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0.0379... |
Evan/spaCy-github-issues | 2022-03-13T20:30:23.000Z | [
"region:us"
] | Evan | null | null | 0 | 2 | 2022-03-13T20:28:15 | Entry not found | 15 | [
[
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0.0379... |
benjaminbeilharz/ed-for-lm | 2022-03-19T12:58:35.000Z | [
"region:us"
] | benjaminbeilharz | null | null | 0 | 2 | 2022-03-13T21:16:24 | Entry not found | 15 | [
[
-0.02142333984375,
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0.0288238525390625,
-0.035064697265625,
0.046539306640625,
0.052520751953125,
0.005062103271484375,
0.0513916015625,
0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
Aclairs/ALBERTFINALYEAR | 2022-03-14T05:56:07.000Z | [
"region:us"
] | Aclairs | null | null | 0 | 2 | 2022-03-14T05:29:43 | ---
{}
---
# AutoNLP Dataset for project: ALBERTFINALYEAR
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
## Dataset Descritp... | 1,854 | [
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GEM-submissions/lewtun__this-is-a-test__1647246406 | 2022-03-14T08:26:51.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 2 | 2022-03-14T08:26:50 | ---
benchmark: gem
type: prediction
submission_name: This is a test
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: This is a test
| 154 | [
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0.0... |
GEM-submissions/lewtun__mt5_xl__1647246454 | 2022-03-14T08:27:39.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 2 | 2022-03-14T08:27:38 | ---
benchmark: gem
type: prediction
submission_name: mT5_xl
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: mT5_xl
| 138 | [
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0.02722... |
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