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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
NYTK/HuCOLA | 2022-10-21T16:08:35.000Z | [
"task_ids:text-simplification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:hu",
"license:cc-by-sa-4.0",
"region:us"
] | NYTK | null | null | 0 | 82 | 2022-03-02T23:29:22 | ---
YAML tags:
annotations_creators:
- expert-generated
language_creators:
- found
language:
- hu
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: HuCOLA
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
- summarizati... | 5,304 | [
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Narsil/test_data | 2022-02-14T11:24:59.000Z | [
"region:us"
] | Narsil | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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OmarN121/train | 2022-01-03T18:49:44.000Z | [
"region:us"
] | OmarN121 | null | null | 0 | 82 | 2022-03-02T23:29:22 | ---
YAML tags:
- copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summar... | 2,621 | [
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RollingMuffin/test_scripts | 2022-02-18T13:58:25.000Z | [
"region:us"
] | RollingMuffin | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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ShreyaR/DepressionDetection | 2022-03-24T11:31:29.000Z | [
"region:us"
] | ShreyaR | null | null | 2 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Tevatron/scifact-corpus | 2021-09-13T23:32:11.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{Wadden2020FactOF,
title={Fact or Fiction: Verifying Scientific Claims},
author={David Wadden and Shanchuan Lin and Kyle Lo and Lucy Lu Wang and Madeleine van Zuylen and Arman Cohan and Hannaneh Hajishirzi},
booktitle={EMNLP},
year={2020},
} | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Tevatron/wikipedia-curated-corpus | 2021-09-23T01:58:40.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov, Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conferenc... | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Tevatron/wikipedia-curated | 2021-09-23T02:09:24.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov,
Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conf... | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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TurkuNLP/turku_hockey_data2text | 2021-11-30T13:41:47.000Z | [
"region:us"
] | TurkuNLP | The Turku Hockey Data2Text corpus was developed as a benchmark for evaluating template-free, machine learning methods on Finnish news generation in the area of ice hockey reporting. This dataset is a collection of 3,454 ice hockey games, each including game statistics and a news article describing the game. Each game i... | @inproceedings{kanerva2019newsgen,
Title = {Template-free Data-to-Text Generation of Finnish Sports News},
Author = {Jenna Kanerva and Samuel R{\"o}nnqvist and Riina Kekki and Tapio Salakoski and Filip Ginter},
booktitle = {Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19)},
y... | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Valahaar/wsdmt | 2021-05-15T12:42:12.000Z | [
"region:us"
] | Valahaar | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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XiangPan/snli_break | 2021-09-20T05:45:54.000Z | [
"region:us"
] | XiangPan | The SNLI corpus (version 1.0) is a collection of 570k human-written English
sentence pairs manually labeled for balanced classification with the labels
entailment, contradiction, and neutral, supporting the task of natural language
inference (NLI), also known as recognizing textual entailment (RTE). | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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YuAnthony/tnews | 2022-01-19T09:48:58.000Z | [
"region:us"
] | YuAnthony | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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adalbertojunior/punctuation-ptbr-light | 2022-01-26T19:01:29.000Z | [
"region:us"
] | adalbertojunior | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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adalbertojunior/punctuation-ptbr | 2021-12-19T15:02:20.000Z | [
"region:us"
] | adalbertojunior | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/carbon_24 | 2022-10-24T15:25:03.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:other-crystallography",
"size_categories:unknown",
"language:cif",
"license:mit",
"material-property-optimization",
"material-reconstruction",
"material-generation",
"arxiv:... | albertvillanova | null | null | 0 | 82 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- cif
license:
- mit
multilinguality:
- other-crystallography
size_categories:
- unknown
source_datasets: []
task_categories:
- other
task_ids: []
pretty_name: Carbon-24
tags:
- material-property-optimization
- material-recon... | 4,486 | [
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allegro/polish-question-passage-pairs | 2021-09-23T19:55:15.000Z | [
"region:us"
] | allegro | null | null | 4 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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anton-l/common_language | 2022-10-21T16:20:41.000Z | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:extended|common_voice",
"language:ar",
"language:br",
"language:ca",
"language:cnh",
"language:cs",
"language:cv",
"language:cy",
"language:de"... | anton-l | This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.
The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).
The dataset has been extracted from CommonVoice to train language-id systems. | @dataset{ganesh_sinisetty_2021_5036977,
author = {Ganesh Sinisetty and
Pavlo Ruban and
Oleksandr Dymov and
Mirco Ravanelli},
title = {CommonLanguage},
month = jun,
year = 2021,
publisher = {Zenodo},
version = {0.1},
... | 0 | 82 | 2022-03-02T23:29:22 | ---
pretty_name: Common Language
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
- br
- ca
- cnh
- cs
- cv
- cy
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fr
- fy
- ia
- id
- it
- ja
- ka
- kab
- ky
- lv
- mn
- mt
- nl
- pl
- pt
- rm
- ro
- ru
- rw
- sah
- sl
- sv
- ta
- tr
- t... | 7,729 | [
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anuragshas/bg_opus100_processed | 2022-01-30T14:36:57.000Z | [
"region:us"
] | anuragshas | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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birgermoell/sv_corpora_parliament_processed | 2022-01-17T15:48:56.000Z | [
"region:us"
] | birgermoell | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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biu-nlp/qa_discourse | 2022-05-16T08:37:44.000Z | [
"region:us"
] | biu-nlp | The dataset contains question-answer pairs to model discourse relations.
While answers roughly correspond to spans of the sentence, these spans could have been freely adjusted by annotators to grammaticaly fit the question;
Therefore, answers are given just as text and not as identified spans of the original sentence.... | @inproceedings{pyatkin2020qadiscourse,
title={QADiscourse-Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines},
author={Pyatkin, Valentina and Klein, Ayal and Tsarfaty, Reut and Dagan, Ido},
booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing ... | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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bs-modeling-metadata/OSCAR_Entity_13_000 | 2021-09-15T14:20:53.000Z | [
"region:us"
] | bs-modeling-metadata | null | null | 0 | 82 | 2022-03-02T23:29:22 | The dataset is in the form of a json lines file with 10,657 examples, where an example consists of text (extracted from the first 13,000 rows of OSCAR unshuffled English dataset) and metadata fields (entities).
Structure of an example.
```
{
"text": "This is exactly the sort of article to raise the profile of the... | 1,677 | [
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bstad/github-issues | 2022-01-17T18:07:38.000Z | [
"region:us"
] | bstad | null | null | 1 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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calvpang/github-issues | 2022-01-27T04:11:18.000Z | [
"region:us"
] | calvpang | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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castorini/msmarco_v1_passage_doc2query-t5_expansions | 2022-06-21T17:45:43.000Z | [
"language:English",
"license:Apache License 2.0",
"region:us"
] | castorini | null | null | 0 | 82 | 2022-03-02T23:29:22 | ---
language:
- English
license: "Apache License 2.0"
---
# Dataset Summary
The repo provides queries generated for the MS MARCO V1 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 train ... | 6,013 | [
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classla/reldi_sr | 2022-10-25T07:30:33.000Z | [
"task_categories:other",
"task_ids:lemmatization",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"language:sr",
"license:cc-by-sa-4.0",
"structure-prediction",
"normalization",
"tokenization",
"region:us"
] | classla | The dataset contains 5462 training samples, 711 validation samples and 725 test samples.
Each sample represents a sentence and includes the following features: sentence ID ('sent_id'),
list of tokens ('tokens'), list of lemmas ('lemmas'), list of UPOS tags ('upos_tags'),
list of Multext-East tags ('xpos_tags), list ... | null | 0 | 82 | 2022-03-02T23:29:22 | ---
language:
- sr
license:
- cc-by-sa-4.0
task_categories:
- other
task_ids:
- lemmatization
- named-entity-recognition
- part-of-speech
tags:
- structure-prediction
- normalization
- tokenization
---
This dataset is based on 3,748 Serbian tweets that were segmented into sentences, tokens, and annotated with normalize... | 1,467 | [
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0.042755126953125,
-0.0474853515625,
-0.065673828125,
-0.043060302734375,
0.0225372314... |
collectivat/tv3_parla | 2022-12-12T09:01:48.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:ca",
"license:cc-by-nc-4.0",
... | collectivat | This corpus includes 240 hours of Catalan speech from broadcast material.
The details of segmentation, data processing and also model training are explained in Külebi, Öktem; 2018.
The content is owned by Corporació Catalana de Mitjans Audiovisuals, SA (CCMA);
we processed their material and hereby making it available ... | @inproceedings{kulebi18_iberspeech,
author={Baybars Külebi and Alp Öktem},
title={{Building an Open Source Automatic Speech Recognition System for Catalan}},
year=2018,
booktitle={Proc. IberSPEECH 2018},
pages={25--29},
doi={10.21437/IberSPEECH.2018-6}
} | 3 | 82 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ca
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- automatic-speech-recognition
- text-generation
task_ids:
- language-modeling
pretty_name: TV3Parla
---
# Dataset... | 5,137 | [
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damlab/HIV_V3_bodysite | 2022-02-08T21:12:25.000Z | [
"region:us"
] | damlab | null | null | 0 | 82 | 2022-03-02T23:29:22 | # Dataset Description
## Dataset Summary
This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database.
It contains 5,510 unique V3 sequences, each annotated with its corresponding bodysite that it was associated with.
Supported Tasks and Leaderboards: None
Languages: English
... | 1,693 | [
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... |
dram-conflict/horror-scripts | 2022-02-21T16:26:48.000Z | [
"region:us"
] | dram-conflict | This dataset is designed to generate scripts. | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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dvilasuero/ag_news_training_set_losses | 2021-09-21T10:10:25.000Z | [
"region:us"
] | dvilasuero | null | null | 0 | 82 | 2022-03-02T23:29:22 | # AG News train losses
This dataset is part of an experiment using [Rubrix](https://github.com/recognai/rubrix), an open-source Python framework for human-in-the loop NLP data annotation and management. | 203 | [
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edge2992/rri-short | 2021-12-10T13:23:02.000Z | [
"region:us"
] | edge2992 | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
eugenesiow/PIRM | 2022-10-21T04:01:16.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"license:cc-by-nc-sa-4.0",
"other-image-super-resolution",
"arxiv:1809.07517",
"region:us"
] | eugenesiow | The PIRM dataset consists of 200 images, which are divided into two equal sets for validation and testing.
These images cover diverse contents, including people, objects, environments, flora, natural scenery, etc.
Images vary in size, and are typically ~300K pixels in resolution.
This dataset was first used for eval... | @misc{shoeiby2019pirm2018,
title={PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study},
author={Mehrdad Shoeiby and Antonio Robles-Kelly and Ran Wei and Radu Timofte},
year={2019},
eprint={1904.00540},
archivePrefix={arXiv},
primaryClass={cs.CV}
} | 0 | 82 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: PIRM
tags:
- other-image-super-resolution
---
# Dataset Card for PIRM... | 5,203 | [
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fatvvs/autonlp-data-entity_model_conll2003 | 2021-06-08T10:15:34.000Z | [
"region:us"
] | fatvvs | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
flax-sentence-embeddings/stackexchange_title_body_jsonl | 2021-07-02T08:03:58.000Z | [
"region:us"
] | flax-sentence-embeddings | null | null | 0 | 82 | 2022-03-02T23:29:22 | jsonl.gz format from https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml
Each line contains a dict in the format: \
{"text": ["title", "body"], "tags": ["tag1", "tag2"]}
The following parameters have been used for filtering: \
min_title_len = 20 \
min_body_len = 20 \
max_body_len = 4096 \
min_s... | 4,801 | [
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0.0138931... |
frtna/deneme | 2022-01-04T06:32:37.000Z | [
"region:us"
] | frtna | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
fuyun1107/clip-for-vlp | 2021-09-07T09:52:10.000Z | [
"region:us"
] | fuyun1107 | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03793334... |
gabella/demo_data_raw | 2022-01-05T19:48:23.000Z | [
"region:us"
] | gabella | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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gar1t/test | 2021-09-15T17:55:27.000Z | [
"region:us"
] | gar1t | null | null | 0 | 82 | 2022-03-02T23:29:22 | # Test Dataset
Just a test - nothing to see here!
| 51 | [
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ghomasHudson/hotpotExtended | 2022-01-13T21:45:03.000Z | [
"region:us"
] | ghomasHudson | null | null | 0 | 82 | 2022-03-02T23:29:22 | # HotpotQA-extended
> Version of the HotpotQA dataset with full Wikipedia articles.
The HotpotQA dataset consists of questions from crowd workers which require information from multiple Wikipedia articles in order to answer,thus testing the ability for models to perform multi-hop question answering. The data... | 825 | [
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ghomasHudson/vlsp | 2022-10-25T09:20:37.000Z | [
"language:en",
"region:us"
] | ghomasHudson | Very Long version of the scientific papers summarization dataset. Only includes theses over 10,000 tokens long. | """
_DESCRIPTION = | 0 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
---
# Dataset Card for vlsp
## 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](#data-instances)... | 2,689 | [
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gigant/romanian_speech_synthesis_0_8_1 | 2022-10-24T17:38:35.000Z | [
"task_categories:automatic-speech-recognition",
"language:ro",
"license:unknown",
"region:us"
] | gigant | \
The Romanian speech synthesis (RSS) corpus was recorded in a hemianechoic chamber (anechoic walls and ceiling; floor partially anechoic) at the University of Edinburgh. We used three high quality studio microphones: a Neumann u89i (large diaphragm condenser), a Sennheiser MKH 800 (small diaphragm condenser with very... | \
@article{Stan2011442,
author = {Adriana Stan and Junichi Yamagishi and Simon King and
Matthew Aylett},
title = {The {R}omanian speech synthesis ({RSS}) corpus:
Building a high quality {HMM}-based speech synthesis
system using a high sampling rate},
... | 2 | 82 | 2022-03-02T23:29:22 | ---
language:
- ro
license:
- unknown
size_categories:
ro:
- 1K<n<10K
task_categories:
- automatic-speech-recognition
task_ids: []
pretty_name: Romanian Speech Synthesis
---
## Dataset Description
- **Homepage:** https://romaniantts.com/rssdb/
- **Paper:** https://www.sciencedirect.com/science/article/abs/pii/S016... | 4,901 | [
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huggingartists/architects | 2022-10-25T09:23:24.000Z | [
"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}
} | 1 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/architects"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How ... | 7,178 | [
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huggingartists/booker | 2022-10-25T09:25:20.000Z | [
"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 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/booker"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to u... | 7,148 | [
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huggingartists/egor-letov | 2022-10-25T09:28:41.000Z | [
"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 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/egor-letov"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How ... | 7,191 | [
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huggingartists/freddie-dredd | 2022-10-25T09:29:57.000Z | [
"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 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/freddie-dredd"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [H... | 7,202 | [
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huggingartists/machine-gun-kelly | 2022-10-25T09:37:17.000Z | [
"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 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/machine-gun-kelly"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
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huggingartists/the-69-eyes | 2022-10-25T09:46:18.000Z | [
"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 | 82 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/the-69-eyes"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How... | 7,186 | [
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huggingface/task-page-images | 2022-01-13T10:20:18.000Z | [
"region:us"
] | huggingface | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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husnu/tquad-v1v2 | 2022-01-14T20:09:29.000Z | [
"region:us"
] | husnu | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.016998291015625,
-0.052093505859375,
-0.014984130859375,
-0.060455322265625,
0.03793334... |
hyeonduck/whiteboard_abuse_dataset | 2021-12-17T07:35:22.000Z | [
"region:us"
] | hyeonduck | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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imvladikon/knesset_meetings_corpus | 2022-10-23T11:45:02.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:he",
"license:pddl",
"region:us"
] | imvladikon | null | null | 1 | 82 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- he
license:
- pddl
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: Knesset Meetings Corpus
---
# Dataset Card
## Table ... | 7,969 | [
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jhonparra18/spanish_billion_words_clean | 2022-01-27T04:27:24.000Z | [
"region:us"
] | jhonparra18 | null | null | 4 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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mozilla-foundation/common_voice_4_0 | 2023-07-29T16:00:01.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
] | mozilla-foundation | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | 1 | 82 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
license:
- cc0-1.0
multilinguality:
- multilingual
size_categories:
ab:
- n<1K
ar:
- 10K<n<100K
br:
- 10K<n<100K
ca:
- 100K<n<1M
cnh:
- 1K<n<10K
cv:
- 1K<n<10K
cy:
- 10K<n<100K
de:
- 100K<n<1M
dv:
- 1K<n<10K
... | 10,013 | [
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m-newhauser/senator-tweets | 2022-03-07T16:37:44.000Z | [
"region:us"
] | m-newhauser | null | null | 1 | 82 | 2022-03-07T16:37:35 | Entry not found | 15 | [
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bigbio/scai_disease | 2022-12-22T15:46:35.000Z | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | bigbio | SCAI Disease is a dataset annotated in 2010 with mentions of diseases and
adverse effects. It is a corpus containing 400 randomly selected MEDLINE
abstracts generated using ‘Disease OR Adverse effect’ as a PubMed query. This
evaluation corpus was annotated by two individuals who hold a Master’s degree
in life sciences. | @inproceedings{gurulingappa:lrec-ws10,
author = {Harsha Gurulingappa and Roman Klinger and Martin Hofmann-Apitius and Juliane Fluck},
title = {An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical Literature},
booktitle = {LREC Workshop on Building and Ev... | 1 | 82 | 2022-11-13T22:12:00 |
---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: SCAI Disease
homepage: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpus-for-disease-names-and-adverse-effects.html
bigbio_pubmed: True
bi... | 1,399 | [
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Joanne/Metaphors_and_Analogies | 2023-05-30T20:40:56.000Z | [
"task_categories:question-answering",
"task_categories:token-classification",
"language:en",
"region:us"
] | Joanne | [Unified Benchmark for Metaphor Identification] | null | 0 | 82 | 2023-03-10T19:57:35 | ---
task_categories:
- question-answering
- token-classification
language:
- en
---
# Metaphors and analogies datasets
These datasets contain word pairs and quadruples forming analogies, metaphoric mapping or sematically unacceptable compositions.
- Pair instances are pairs of nouns A and B in a sentence of the form... | 8,821 | [
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Francesco/poker-cards-cxcvz | 2023-03-30T09:14:35.000Z | [
"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 | 82 | 2023-03-30T09:14:05 | ---
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... | 4,831 | [
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0.00... |
Lajonbot/alpaca-dolly-chrisociepa-instruction-only-polish | 2023-05-09T05:27:32.000Z | [
"region:us"
] | Lajonbot | null | null | 5 | 82 | 2023-05-09T05:27:30 | Entry not found | 15 | [
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ArtifactAI/arxiv-physics-instruct-tune-30k | 2023-06-20T04:35:10.000Z | [
"doi:10.57967/hf/0801",
"region:us"
] | ArtifactAI | null | null | 15 | 82 | 2023-06-20T04:25:54 | Entry not found | 15 | [
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ttxy/resume_ner | 2023-08-25T11:02:49.000Z | [
"task_categories:token-classification",
"language:code",
"license:bsd",
"ner",
"region:us"
] | ttxy | null | null | 0 | 82 | 2023-06-26T04:06:00 | ---
language:
- code
pretty_name: "resume ner dataseet"
tags:
- ner
license: "bsd"
task_categories:
- token-classification
---
中文 resume ner 数据集， 来源: https://github.com/luopeixiang/named_entity_recognition 。
数据的格式如下，它的每一行由一个字及其对应的标注组成，标注集采用BIOES，句子之间用一个空行隔开。
```text
美 B-LOC
国 E-LOC
的 O
华 B-PER
莱 I-PER
士 E-PER
我 O
... | 779 | [
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razhan/asosoft-speech | 2023-08-30T14:40:10.000Z | [
"region:us"
] | razhan | null | null | 1 | 82 | 2023-07-15T08:49:25 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
- name: duration
dtype: float64
splits:
- name: train
num_bytes: 621160243.56
num_examples: 3240
- name: test
num_bytes: 113413557.0
num_examples: 600
download_size: 702412597
dataset... | 512 | [
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abacusai/WikiQA-Free_Form_QA | 2023-07-27T14:37:54.000Z | [
"region:us"
] | abacusai | null | null | 7 | 82 | 2023-07-27T14:37:39 | ---
configs:
- config_name: default
data_files:
- split: 2k
path: data/2k-*
- split: 4k
path: data/4k-*
- split: 8k
path: data/8k-*
- split: 16k
path: data/16k-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: tok_len
dtype: in... | 835 | [
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giuid/qrecc_raw_context | 2023-08-07T10:58:53.000Z | [
"region:us"
] | giuid | null | null | 0 | 82 | 2023-08-03T15:36:03 | Entry not found | 15 | [
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imoxto/prompt_injection_cleaned_dataset-v2 | 2023-08-08T09:30:19.000Z | [
"region:us"
] | imoxto | null | null | 1 | 82 | 2023-08-08T09:30:03 | ---
dataset_info:
features:
- name: model
dtype: string
- name: text
dtype: string
- name: labels
dtype: int64
splits:
- name: train
num_bytes: 670958021
num_examples: 535105
download_size: 79246765
dataset_size: 670958021
configs:
- config_name: default
data_files:
- split: trai... | 538 | [
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OpenAssistant/OASST-DE | 2023-09-28T08:26:17.000Z | [
"size_categories:1K<n<10K",
"language:de",
"license:apache-2.0",
"arxiv:2304.07327",
"region:us"
] | OpenAssistant | null | null | 4 | 82 | 2023-08-29T12:04:11 | ---
dataset_info:
features:
- name: conversation
list:
- name: role
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 8022604.792326268
num_examples: 3721
download_size: 4325950
dataset_size: 8022604.792326268
license: apache-2.0
language:
- de
size_ca... | 2,541 | [
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BleachNick/MIC_full | 2023-10-28T23:49:01.000Z | [
"license:unknown",
"arxiv:2309.07915",
"region:us"
] | BleachNick | null | null | 4 | 82 | 2023-09-01T10:34:22 | ---
license: unknown
---
```bibtex
@misc{zhao2023mmicl,
title={MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning},
author={Haozhe Zhao and Zefan Cai and Shuzheng Si and Xiaojian Ma and Kaikai An and Liang Chen and Zixuan Liu and Sheng Wang and Wenjuan Han and Baobao Chang},
... | 422 | [
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yzhuang/autotree_pmlb_100000_banana_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T17:16:23.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-07T17:16:07 | ---
dataset_info:
features:
- name: id
dtype: int64
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sequence:
sequence: float32
- name: input_y
sequence:
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- name: input_y_clean
sequence:
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yzhuang/autotree_pmlb_100000_clean2_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T01:58:08.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-08T01:57:40 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
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sequence: flo... | 846 | [
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yzhuang/autotree_automl_100000_california_sgosdt_l256_dim8_d3_sd0 | 2023-09-08T03:18:22.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-08T03:17:52 | ---
dataset_info:
features:
- name: id
dtype: int64
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sequence:
sequence: float32
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sequence:
sequence: float32
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sequence:
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yzhuang/autotree_pmlb_100000_Hill_Valley_with_noise_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T06:27:42.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-08T06:27:06 | ---
dataset_info:
features:
- name: id
dtype: int64
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sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
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yzhuang/autotree_pmlb_100000_Hill_Valley_without_noise_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T06:58:08.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-08T06:57:21 | ---
dataset_info:
features:
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sequence:
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sequence:
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yzhuang/autotree_pmlb_100000_magic_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T16:34:51.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-08T16:34:12 | ---
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... | 846 | [
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yzhuang/autotree_pmlb_100000_twonorm_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T17:38:59.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 82 | 2023-09-08T17:38:26 | ---
dataset_info:
features:
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dtype: int64
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sequence: float32
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notrichardren/azaria-mitchell-diff-filtered | 2023-10-03T04:33:20.000Z | [
"region:us"
] | notrichardren | null | null | 0 | 82 | 2023-10-03T03:54:39 | ---
configs:
- config_name: default
data_files:
- split: cities
path: data/cities-*
- split: companies
path: data/companies-*
- split: animals
path: data/animals-*
- split: elements
path: data/elements-*
- split: inventions
path: data/inventions-*
- split: facts
path: data/facts-*
... | 1,125 | [
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minhtu0408/gdsc-model-dataset | 2023-10-07T14:04:44.000Z | [
"region:us"
] | minhtu0408 | null | null | 0 | 82 | 2023-10-05T11:49:45 | Entry not found | 15 | [
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KTH/speechdat | 2022-02-07T10:41:34.000Z | [
"region:us"
] | KTH | Speechdat dataset | null | 0 | 81 | 2022-03-02T23:29:22 | # Speechdat
Speechdat dataset
## Loading the dataset
You need to download the dataset from another folder. We assume the wav files are located inside a /wav folder inside speechdat.
```
from datasets import load_dataset
speechdat = load_dataset("./speechdat", split="train", data_dir="./speechdat/wav")
```
| 310 | [
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McGill-NLP/mlquestions | 2021-11-11T10:01:14.000Z | [
"region:us"
] | McGill-NLP | null | null | 0 | 81 | 2022-03-02T23:29:22 | # Dataset Card for mlquestions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Additional Information](#additional-information)
- [Licensing Inform... | 3,684 | [
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PaulLerner/viquae_dataset | 2022-02-15T17:43:12.000Z | [
"region:us"
] | PaulLerner | null | null | 2 | 81 | 2022-03-02T23:29:22 | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
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Recognai/news | 2022-02-17T14:33:02.000Z | [
"region:us"
] | Recognai | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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RohanAiLab/persian_blog | 2022-10-25T09:06:36.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"source_datasets:original",
"language:fa",
"region:us"
] | RohanAiLab | persian_blog is a dataset consist of 400K blog posts from various websites and has types of tones.
this dataset can be used in different NLG tasks and as a show-case it's is used in training reformer-persian. | https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
} | 2 | 81 | 2022-03-02T23:29:22 | ---
language:
- fa
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: persian_blog
---
# Persian Blog
# Dataset Summary
persian_news_dataset is a collection of 400k blog posts. these posts have been gathered from more than 10 websites. This dataset can be used i... | 2,431 | [
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RohanAiLab/persian_news_dataset | 2022-10-21T16:13:59.000Z | [
"task_categories:text-classification",
"task_ids:language-modeling",
"task_ids:multi-class-classification",
"source_datasets:original",
"language:fa",
"region:us"
] | RohanAiLab | persian_news_dataset is a collection of 5 million news articles.
News articles have been gathered from more than 10 news agencies for the last 12 years.
The dataset is provided by Rohan AI lab for research purposes.
for more information refer to this link: | https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
} | 1 | 81 | 2022-03-02T23:29:22 | ---
pretty_name: persian_news_datset
language:
- fa
source_datasets:
- original
task_categories:
- text-classification
- sequence-modeling
task_ids:
- language-modeling
- multi-class-classification
---
# Persian_News_Dataset
# Dataset Summary
persian_news_dataset is a collection of 5 million news articles. News art... | 3,455 | [
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Sunbird/salt-dataset | 2022-03-28T13:04:56.000Z | [
"region:us"
] | Sunbird | null | null | 3 | 81 | 2022-03-02T23:29:22 | A parallel text corpus, **SALT -- (Sunbird African Language Translation Dataset)**, was created for five Ugandan languages (Luganda,
Runyankore, Acholi, Lugbara and Ateso) and various methods were explored to train and evaluate translation models. | 248 | [
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YuAnthony/chid | 2022-02-23T05:19:14.000Z | [
"region:us"
] | YuAnthony | null | null | 1 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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addy88/sanskrit-asr-84-eval | 2021-12-14T13:42:29.000Z | [
"region:us"
] | addy88 | null | null | 1 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/sat | 2022-10-24T15:25:54.000Z | [
"task_categories:text-generation",
"task_categories:translation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:original",
"source_datasets:extended|bible_para",
"source_datasets:extended|kde4",
"source_... | albertvillanova | SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts. | \ | 0 | 81 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
- vi
license:
- unknown
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- original
- extended|bible_para
- extended|kde4
- extended|opus_gnome
- extended|open_subtitles
- extended|tatoeba
task_categories:
- t... | 3,368 | [
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allegro/klej-cdsc-r | 2021-11-29T19:14:36.000Z | [
"region:us"
] | allegro | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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allegro/summarization-allegro-articles | 2021-09-24T14:10:17.000Z | [
"region:us"
] | allegro | null | null | 2 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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allegro/summarization-polish-summaries-corpus | 2021-09-24T14:17:27.000Z | [
"region:us"
] | allegro | null | null | 2 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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aminedjebbie/Multi-Arabic-dialects | 2022-02-10T20:28:50.000Z | [
"region:us"
] | aminedjebbie | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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aseifert/merlin | 2022-10-21T16:21:58.000Z | [
"multilinguality:translation",
"size_categories:unknown",
"language:cz",
"language:de",
"language:it",
"region:us"
] | aseifert | null | null | 1 | 81 | 2022-03-02T23:29:22 | ---
annotations_creators: []
language_creators: []
language:
- cz
- de
- it
license: []
multilinguality:
- translation
pretty_name: merlin
size_categories:
- unknown
source_datasets: []
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
---
# MERLIN corpus
Project URL: https://merlin-platf... | 936 | [
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bertin-project/mc4-sampling | 2022-11-07T12:40:51.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1... | bertin-project | A sampling-enabled version of mC4, the colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is a version of the processed version of Google's mC4 dataset by AllenAI, in which sampling methods are implemented to perform on the fly. | @article{2019t5,
author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
journal = {arXiv e-prints},
year = {2... | 8 | 81 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
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- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- id
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ... | 11,457 | [
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cestwc/cnn_dailymail-metaeval100 | 2022-01-07T10:55:08.000Z | [
"region:us"
] | cestwc | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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cheulyop/ksponspeech | 2021-10-02T04:27:13.000Z | [
"region:us"
] | cheulyop | KsponSpeech is a large-scale spontaneous speech corpus of Korean conversations. This corpus contains 969 hrs of general open-domain dialog utterances, spoken by about 2,000 native Korean speakers in a clean environment. All data were constructed by recording the dialogue of two people freely conversing on a variety of ... | @article{bang2020ksponspeech,
title={KsponSpeech: Korean spontaneous speech corpus for automatic speech recognition},
author={Bang, Jeong-Uk and Yun, Seung and Kim, Seung-Hi and Choi, Mu-Yeol and Lee, Min-Kyu and Kim, Yeo-Jeong and Kim, Dong-Hyun and Park, Jun and Lee, Young-Jik and Kim, Sang-Hun},
journal={Appli... | 3 | 81 | 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 [KsponSpeech]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported T... | 3,261 | [
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csebuetnlp/xnli_bn | 2022-08-21T13:14:56.000Z | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended",
"language:bn",
"license:cc-by-nc-sa-4.0",
"arxiv:2101.00204",
... | csebuetnlp | This is a Natural Language Inference (NLI) dataset for Bengali, curated using the subset of
MNLI data used in XNLI and state-of-the-art English to Bengali translation model. | @misc{bhattacharjee2021banglabert,
title={BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding},
author={Abhik Bhattacharjee and Tahmid Hasan and Kazi Samin and Md Saiful Islam and M. Sohel Rahman and Anindya Iqbal and Rifat Shahriyar},
year={2021},
... | 1 | 81 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- found
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- text-classification
task_ids:
- natural-language-inference
language:
- bn
license:
- cc-by-nc-sa-4.0
---
# Dataset Card for `xnli_bn`
## T... | 6,302 | [
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ctu-aic/csfever | 2022-11-01T05:56:15.000Z | [
"license:cc-by-sa-3.0",
"arxiv:1803.05355",
"arxiv:2201.11115",
"region:us"
] | ctu-aic | CsFEVER is a Czech localisation of the English FEVER datgaset. | @article{DBLP:journals/corr/abs-2201-11115,
author = {Jan Drchal and
Herbert Ullrich and
Martin R{\'{y}}par and
Hana Vincourov{\'{a}} and
V{\'{a}}clav Moravec},
title = {CsFEVER and CTKFacts: Czech Datasets for Fact Verification},
journal = {CoR... | 1 | 81 | 2022-03-02T23:29:22 | ---
license: cc-by-sa-3.0
---
# CsFEVER experimental Fact-Checking dataset
Czech dataset for fact verification localized from the data points of [FEVER](https://arxiv.org/abs/1803.05355) using the localization scheme described in the [CTKFacts: Czech Datasets for Fact Verification](https://arxiv.org/abs/2201.1111... | 803 | [
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DebateLabKIT/aaac | 2022-10-24T16:25:56.000Z | [
"task_categories:summarization",
"task_categories:text-retrieval",
"task_categories:text-generation",
"task_ids:parsing",
"task_ids:text-simplification",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolin... | DebateLabKIT | null | null | 3 | 81 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- machine-generated
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
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size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
- text-retrieval
- text-generation
task_ids:
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dweb/squad_with_cola_scores | 2021-10-02T22:50:22.000Z | [
"region:us"
] | dweb | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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frahman/github-issues | 2021-11-14T16:45:36.000Z | [
"region:us"
] | frahman | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03790... |
frtna/es_it_Results-base-OPUS_Tatoeba | 2022-01-04T04:41:07.000Z | [
"region:us"
] | frtna | null | null | 0 | 81 | 2022-03-02T23:29:22 | - Model: [OPUS-MT](https://huggingface.co/Helsinki-NLP/opus-mt-es-it)
- Tested on: [Tatoeba]()
<br>
- Metric:
- bleu(tensorflow),
- sacrebleu(github->mjpost),
- google_bleu(nltk),
- rouge(google-research),
- meteor(nltk),
- ter(university of Maryland)
<br>
- Retrieved from: [Huggingface](https://huggin... | 1,198 | [
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frtna/opensubtitles_mt | 2021-12-05T20:53:04.000Z | [
"region:us"
] | frtna | This new dataset is designed to be used in the scope of PhD project. | @InProceedings{phd,
title = {Open Subtitles Machine Translation Dataset},
author={hmtkvs, Inc.
},
year={2021}
} | 0 | 81 | 2022-03-02T23:29:22 | annotations_creators:
- expert-generated
language_creators:
- crowdsourced
languages:
- es
- it
licenses:
- cc-by-4.0
multilinguality:
- multilingual
- translation
pretty_name: ''
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- machine-translation | 286 | [
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geninhu/vi_opus100_processed | 2022-01-23T02:34:05.000Z | [
"region:us"
] | geninhu | null | null | 0 | 81 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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