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mteb | null | null | null | false | 114 | false | mteb/biosses-sts | 2022-09-27T19:13:38.000Z | null | false | 9ee918f184421b6bd48b78f6c714d86546106103 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/biosses-sts/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | null | null | false | 463 | false | mteb/stsbenchmark-sts | 2022-09-27T19:11:21.000Z | null | false | 8913289635987208e6e7c72789e4be2fe94b6abd | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/stsbenchmark-sts/resolve/main/README.md | ---
language:
- en
--- |
arka0821 | null | @article{lu2020multi,
title={Multi-Document: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles},
author={Arka Das, India},
journal={arXiv preprint arXiv:2010.14235},
year={2022}
} | Multi-Document, a large-scale multi-document summarization dataset created from scientific articles. Multi-Document introduces a challenging multi-document summarization task: writing the related-work section of a paper based on its abstract and the articles it references. | false | 1 | false | arka0821/multi_document_summarization | 2022-10-20T19:13:26.000Z | multi-document | false | 47054de4458827ac3fb5136f5f953ddf3deb3c53 | [] | [
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] | https://huggingface.co/datasets/arka0821/multi_document_summarization/resolve/main/README.md | ---
annotations_creators:
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language_creators:
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paperswithcode_id: multi-document
pretty_name... |
asdAD222 | null | null | null | false | 1 | false | asdAD222/segment_T | 2022-04-19T15:56:02.000Z | null | false | f0bf0ee2765b1df5e8dc9bc0f3bd661fd880fda5 | [] | [] | https://huggingface.co/datasets/asdAD222/segment_T/resolve/main/README.md | |
danrambado | null | null | null | false | 2 | false | danrambado/SODA | 2022-04-19T18:57:01.000Z | null | false | 2a0ac924abdb53e4ba4a7c1ae943fc8ef3b296d3 | [] | [
"license:mit"
] | https://huggingface.co/datasets/danrambado/SODA/resolve/main/README.md | ---
license: mit
---
|
bookbot | null | null | null | false | 3 | false | bookbot/id_word2phoneme | 2022-10-24T17:47:22.000Z | null | false | 10ff57bba0a3716b15da6ce134a094f85c4632fc | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
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"language:ms",
"source_datasets:original",
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"task_ids:g2p"
] | https://huggingface.co/datasets/bookbot/id_word2phoneme/resolve/main/README.md | ---
annotations_creators:
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language_creators:
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language:
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task_categories:
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paperswithcode_id: null
pretty_name: ID Word2Phoneme
---
# Dataset Card for ID Word2Phoneme
## Table of Contents
- [Dataset Descri... |
Khalsuu | 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... | Magic Hub's initiative to help teach machines how real people speak. They wanted to provide structured data that
will help enthusiasts and researchers to spend more time on training models rather than cleaning and structuring data. | false | 2 | false | Khalsuu/filipino_dataset_script | 2022-04-28T15:25:10.000Z | null | false | 6128e88e317eb20bb3c429b09db8eecd915bbd41 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Khalsuu/filipino_dataset_script/resolve/main/README.md | ---
license: apache-2.0
---
|
csebuetnlp | null | null | null | false | 4 | false | csebuetnlp/CrossSum | 2022-10-06T12:11:21.000Z | null | false | d22e0fe3d6bd2f72234f82c454afcdb20e106a3c | [] | [
"arxiv:2112.08804",
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"language:fr",
"language:gu",
"language:ha",
"language:hi",
"language:ig",
"language:id",
"language:ja",
"language:rn",
"language:k... | https://huggingface.co/datasets/csebuetnlp/CrossSum/resolve/main/README.md | ---
task_categories:
- conditional-text-generation
task_ids:
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language:
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- sw
- ta
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- th
- ti
- tr
- uk
- ur
- uz
- vi
- cy
- yo
size_categories:
... |
UmnatHCU | null | null | null | false | 3 | false | UmnatHCU/test | 2022-04-20T08:30:01.000Z | null | false | 1436852d084f57851cb02ae13e16e4fa23c1e977 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/UmnatHCU/test/resolve/main/README.md | ---
license: afl-3.0
---
|
mteb | null | null | null | false | 658 | false | mteb/sts12-sts | 2022-09-27T19:11:50.000Z | null | false | fdf84275bb8ce4b49c971d02e84dd1abc677a50f | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sts12-sts/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | null | null | false | 358 | false | mteb/sts13-sts | 2022-09-27T19:12:02.000Z | null | false | 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sts13-sts/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | null | null | false | 336 | false | mteb/sts14-sts | 2022-09-27T19:11:37.000Z | null | false | e2125984e7df8b7871f6ae9949cf6b6795e7c54b | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sts14-sts/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | null | null | false | 502 | false | mteb/sts15-sts | 2022-09-27T19:12:14.000Z | null | false | 1cd7298cac12a96a373b6a2f18738bb3e739a9b6 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sts15-sts/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | null | null | false | 334 | false | mteb/sts16-sts | 2022-09-27T19:12:09.000Z | null | false | 360a0b2dff98700d09e634a01e1cc1624d3e42cd | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sts16-sts/resolve/main/README.md | ---
language:
- en
--- |
mwong | null | null | null | false | 3 | false | mwong/climatetext-claim-related-evaluation | 2022-10-25T10:08:44.000Z | null | false | 1f93eb3df343353f9b0d0f9bc724ab9473643bfe | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
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"license:gpl-3.0",
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"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climatetext-claim-related-evaluation/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_text
task_categories:
- text-classification
task_ids:
- fact-checking
---
### Dataset Summary
This ... |
NbAiLab | null | @inproceedings{,
title={},
author={},
booktitle={},
year={2022},
url={https://arxiv.org/abs/}
} | This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Norwegian. In this version, the organization of the data have been altered to improve the usefulness of the database.
The acoustic databases described below were developed by the firm Nordisk sp... | false | 274 | false | NbAiLab/NST | 2022-08-12T14:09:29.000Z | null | false | 81dd00f3ce6d26dd7b103af91ef0013a535caacd | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/NbAiLab/NST/resolve/main/README.md | ---
license: apache-2.0
---
|
mwong | null | null | null | false | 2 | false | mwong/climatetext-evidence-related-evaluation | 2022-10-25T10:08:46.000Z | null | false | 72cac22487c265b0b27b424f561f0f3659c5746d | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
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"license:gpl-3.0",
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"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climatetext-evidence-related-evaluation/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_text
task_categories:
- text-classification
task_ids:
- fact-checking
---
### Dataset Summary
This ... |
Peihao | null | null | null | false | 2 | false | Peihao/CURE-Pretrain | 2022-04-21T16:07:25.000Z | null | false | 3140c1105204085e7461bcb8fd2301e9d4be9611 | [] | [
"license:lgpl"
] | https://huggingface.co/datasets/Peihao/CURE-Pretrain/resolve/main/README.md | ---
license: lgpl
---
|
crisdev | null | null | null | false | 3 | false | crisdev/comentarios | 2022-05-06T14:18:49.000Z | null | false | 8dec0f04d38cb2d2a2b83a72ac88df63c4c4e6da | [] | [
"license:mit"
] | https://huggingface.co/datasets/crisdev/comentarios/resolve/main/README.md | ---
license: mit
---
|
daniel-dona | null | null | null | false | 2 | false | daniel-dona/tfg-voice-2 | 2022-04-20T22:26:10.000Z | null | false | eec8b7881f5b1c5fe586b476fce67ba9f93fdcbe | [] | [
"license:cc-by-sa-3.0"
] | https://huggingface.co/datasets/daniel-dona/tfg-voice-2/resolve/main/README.md | ---
license: cc-by-sa-3.0
---
|
alisawuffles | null | null | null | false | 39 | false | alisawuffles/WANLI | 2022-09-19T17:19:09.000Z | null | false | 09d892a63b8549fda24ac77b3ecd3aeef8162792 | [] | [
"arxiv:2201.05955",
"annotations_creators:crowdsourced",
"language_creators:other",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:natural-language-inference"
] | https://huggingface.co/datasets/alisawuffles/WANLI/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- other
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: WANLI
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- natural-language-inference
---
# Dataset Card for WANLI
... |
billray110 | null | null | null | false | 8 | false | billray110/corpus-of-diverse-styles | 2022-10-22T00:52:53.000Z | null | false | 7a13ba87386bd8c9083ff858944a5f516e43f939 | [] | [
"arxiv:2010.05700",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"task_categories:text-classification"
] | https://huggingface.co/datasets/billray110/corpus-of-diverse-styles/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- found
language: []
license: []
multilinguality:
- monolingual
pretty_name: Corpus of Diverse Styles
size_categories:
- 10M<n<100M
source_datasets: []
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for Corpus of Diverse Styles
## Table of Cont... |
Kateryna | null | null | null | false | 2 | false | Kateryna/eva_ru_forum_headlines | 2022-04-21T02:17:55.000Z | null | false | eb798af6f91a5305eb0f18aeb15378cc3c91b421 | [] | [] | https://huggingface.co/datasets/Kateryna/eva_ru_forum_headlines/resolve/main/README.md | The dataset is a mix of topics from 3 forums: "Hotline", "Kids Psychology and Development", "Everything Else".
It contains topic name (Topic), start post (message) and post unique id (Message_Id). |
juliensimon | null | null | null | false | 2 | false | juliensimon/autotrain-data-petfinder-demo | 2022-04-21T08:31:01.000Z | null | false | 5036e6e1a51e2dcd4f780574dfaf8f09e6e312d9 | [] | [] | https://huggingface.co/datasets/juliensimon/autotrain-data-petfinder-demo/resolve/main/README.md | ---
{}
---
# AutoTrain Dataset for project: petfinder-demo
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project petfinder-demo.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as fo... |
ylacombe | null | null | null | false | 3 | false | ylacombe/xsum_factuality | 2022-10-24T17:48:23.000Z | null | false | 8fa75c33299662b0b2b7f0d6ccbe33b9df3b62e5 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
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"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|other-xsum",
"task_categories:summarization",
"task_ids:summarization-factuality-checking"
] | https://huggingface.co/datasets/ylacombe/xsum_factuality/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
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source_datasets:
- extended|other-xsum
task_categories:
- summarization
task_ids:
- summarization-factuality-checking
paperswithcode_id: null
pretty_n... |
cmotions | null | null | null | false | 3 | false | cmotions/NL_restaurant_reviews | 2022-04-21T11:20:02.000Z | null | false | ef485238c1494962da9f8896bfacbcf3a0747c73 | [] | [
"language:nl",
"tags:text-classification",
"tags:sentiment-analysis",
"datasets:train",
"datasets:test",
"datasets:validation"
] | https://huggingface.co/datasets/cmotions/NL_restaurant_reviews/resolve/main/README.md | ---
language:
- nl
tags:
- text-classification
- sentiment-analysis
datasets:
- train
- test
- validation
---
## Dataset overview
This is a dataset that contains restaurant reviews gathered in 2019 using a webscraping tool in Python. Reviews on restaurant visits and restaurant features were collected for Dutch rest... |
AntoineLB | null | null | null | false | 2 | false | AntoineLB/FrozenLakeNotFrozen | 2022-04-26T07:40:20.000Z | null | false | ec205ab74f5244e1cf50c06c200832cd50493546 | [] | [] | https://huggingface.co/datasets/AntoineLB/FrozenLakeNotFrozen/resolve/main/README.md | # Dataset Card for [FrozenLake-v1] with slippery = False
|
mwong | null | null | null | false | 3 | false | mwong/climatetext-climate_evidence-claim-related-evaluation | 2022-10-25T10:08:48.000Z | null | false | d96c3ca050b694c3150bb53e6c6431f2144ce15a | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climatetext-climate_evidence-claim-related-evaluation/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_text
task_categories:
- text-classification
task_ids:
- fact-checking
---
### Dataset Summary
This ... |
mwong | null | null | null | false | 2 | false | mwong/climatetext-claim-climate_evidence-related-evaluation | 2022-10-25T10:08:50.000Z | null | false | 54b4fc98b56081e4ed5bfe6f76f68c8f52d4fc98 | [] | [
"annotations_creators:crowdsourced",
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"language:en",
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"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climatetext-claim-climate_evidence-related-evaluation/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_text
task_categories:
- text-classification
task_ids:
- fact-checking
---
### Dataset Summary
This ... |
mwong | null | null | null | false | 3 | false | mwong/climatetext-evidence-claim-pair-related-evaluation | 2022-10-25T10:08:53.000Z | null | false | 4f0fab91e806940ab0e95f573193eb79f5052c70 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climatetext-evidence-claim-pair-related-evaluation/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_text
task_categories:
- text-classification
task_ids:
- fact-checking
---
### Dataset Summary
This ... |
mwong | null | null | null | false | 3 | false | mwong/climatetext-claim-evidence-pair-related-evaluation | 2022-10-25T10:08:55.000Z | null | false | 0961ace6703a76cb598eb4fcdb7f92227aa3c4b3 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climatetext-claim-evidence-pair-related-evaluation/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_text
task_categories:
- text-classification
task_ids:
- fact-checking
---
### Dataset Summary
This ... |
mweiss | null | @inproceedings{Weiss2022SimpleTechniques,
title={Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning},
author={Weiss, Michael and Tonella, Paolo},
booktitle={Proceedings of the 31th ACM SIGSOFT International Symposium on Software Testing and Analysis},
year={2022}... | Fashion-MNIST is dataset of fashion images, indended as a drop-in replacement for the MNIST dataset.
This dataset (Fashion-Mnist-Corrupted) provides out-of-distribution data for the Fashion-Mnist
dataset. Fashion-Mnist-Corrupted is based on a similar project for MNIST, called MNIST-C, by Mu et. al. | false | 3 | false | mweiss/fashion_mnist_corrupted | 2022-07-02T09:57:57.000Z | null | false | f0f97726ff1c5fcabaf48a458818dcde3967d728 | [] | [
"arxiv:1906.02337",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|fashion_mnist",
"task_categories:image-... | https://huggingface.co/datasets/mweiss/fashion_mnist_corrupted/resolve/main/README.md | ---
annotations_creators:
- expert-generated
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: fashion-mnist-corrupted
size_categories:
- 10K<n<100K
source_datasets:
- extended|fashion_mnist
task_categories:
- image-classification
task_i... |
null | null | @inproceedings{krishnavisualgenome,
title={Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations},
author={Krishna, Ranjay and Zhu, Yuke and Groth, Oliver and Johnson, Justin and Hata, Kenji and Kravitz, Joshua and Chen, Stephanie and Kalantidis, Yannis and Li, Li-Jia and Shamma, ... | Visual Genome enable to model objects and relationships between objects.
They collect dense annotations of objects, attributes, and relationships within each image.
Specifically, the dataset contains over 108K images where each image has an average of 35 objects, 26 attributes, and 21 pairwise relationships between obj... | false | 79 | false | visual_genome | 2022-11-03T15:51:00.000Z | visual-genome | false | b048e99d443ad70499a0a9ffbaf90e5d1dd36cb7 | [] | [
"arxiv:1602.07332",
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:visual-qu... | https://huggingface.co/datasets/visual_genome/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- image-to-text
- object-detection
- visual-question-answering
task_ids:
- image-captioning
paperswithcode_id: visual-... |
tsantosh7 | null | null | null | false | 2 | false | tsantosh7/COVID-19_Annotations | 2022-04-21T14:03:06.000Z | null | false | b31afad97a9fada96522cc2f5b080338d4a3f7cd | [] | [
"license:cc"
] | https://huggingface.co/datasets/tsantosh7/COVID-19_Annotations/resolve/main/README.md | ---
license: cc
---
Named Entity Recognition for COVID-19 Bio Entities
The dataset was taken from https://github.com/davidcampos/covid19-corpus
Dataset
The dataset was then split into several datasets each one representing one entity. Namely, Disorder, Species, Chemical or Drug, Gene and Protein, Enzyme, Anatomy, Bio... |
null | null | @inproceedings{harley2015icdar,
title = {Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval},
author = {Adam W Harley and Alex Ufkes and Konstantinos G Derpanis},
booktitle = {International Conference on Document Analysis and Recognition ({ICDAR})}},
year = {2015}
} | The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. | false | 969 | false | rvl_cdip | 2022-11-03T16:31:22.000Z | rvl-cdip | false | 6cecec2310858601b96cfec27931cf8b408efe5c | [] | [
"arxiv:1502.07058",
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|iit_cdip",
"task_categories:image-classification",
"task_ids:multi-class-image-classification"
] | https://huggingface.co/datasets/rvl_cdip/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|iit_cdip
task_categories:
- image-classification
task_ids:
- multi-class-image-classification
paperswithcode_id: rvl-cdip
pretty_name: RVL-... |
Goud | null | null | null | false | 11 | false | Goud/Goud-sum | 2022-07-04T16:02:36.000Z | null | false | 36076b03a64c3dc168fa7222da61de07b6eac67e | [] | [
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:summarization",
"task_ids:news-articles-headline-generation"
] | https://huggingface.co/datasets/Goud/Goud-sum/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- machine-generated
language: []
license: []
multilinguality: []
pretty_name: Goud-sum
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-headline-generation
---
# Dataset Card for Goud summari... |
eleldar | null | null | null | false | 1 | false | eleldar/sub_train-normal_tests-datasets | 2022-06-16T11:19:47.000Z | null | false | 24eab2c29829f2672c4a9516f0d7aa750b88ba61 | [] | [] | https://huggingface.co/datasets/eleldar/sub_train-normal_tests-datasets/resolve/main/README.md | Dataset for API: https://github.com/eleldar/Translation
Test English-Russian dataset:
```
DatasetDict({
normal: Dataset({
features: ['en', 'ru'],
num_rows: 2009
})
short: Dataset({
features: ['en', 'ru'],
num_rows: 2664
})
train: Dataset({
features: ['en', 'r... |
GEM-submissions | null | null | null | false | 3 | false | GEM-submissions/ratishsp__seqplan-sportsett__1650556902 | 2022-04-21T16:01:45.000Z | null | false | 1f2761557622d85a47d719882e5e8654f2c4dec1 | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:SeqPlan-SportSett",
"tags:evaluation",
"tags:benchmark"
] | https://huggingface.co/datasets/GEM-submissions/ratishsp__seqplan-sportsett__1650556902/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: SeqPlan-SportSett
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: SeqPlan-SportSett
|
pietrolesci | null | null | null | false | 707 | false | pietrolesci/glue_diagnostics | 2022-04-21T16:51:56.000Z | null | false | 1f2a598128b862851ba63f35a9d7c277c005e2d7 | [] | [] | https://huggingface.co/datasets/pietrolesci/glue_diagnostics/resolve/main/README.md | ## Overview
Original dataset available [here](https://gluebenchmark.com/diagnostics).
## Dataset curation
Filled in the empty rows of columns "lexical semantics", "predicate-argument structure",
"logic", "knowledge" with empty string `""`.
Labels are encoded as follows
```
{"entailment": 0, "neutral": 1, "contradic... |
patrickvonplaten | null | @inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
pages={5206--... | LibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
audiobooks from the LibriVox project, and has been carefully segmented and aligned.87 | false | 2 | false | patrickvonplaten/librispeech_asr_self_contained | 2022-10-24T17:48:37.000Z | librispeech-1 | false | bb68655c6b6f1431cdf2b90239cbf2fb5e52f3cd | [] | [
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:automatic-speech-recognition",
"task_categor... | https://huggingface.co/datasets/patrickvonplaten/librispeech_asr_self_contained/resolve/main/README.md | ---
pretty_name: LibriSpeech
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: librispeech-1
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- automatic-speech-reco... |
BritishLibraryLabs | null | TODO | The images were algorithmically gathered from 49,455 digitised books, equating to 65,227 volumes (25+ million pages), published between c. 1510 - c. 1900.
The books cover a wide range of subject areas including philosophy, history, poetry and literature.
The images are in .JPEG format. | false | 5 | false | BritishLibraryLabs/digitisedbookimages | 2022-10-25T14:34:03.000Z | null | true | 07e16b87691219403626bf9de8fc661fdf8289f3 | [] | [
"language_creators:machine-generated",
"license:cc0-1.0",
"source_datasets:original",
"task_categories:image-classification"
] | https://huggingface.co/datasets/BritishLibraryLabs/digitisedbookimages/resolve/main/README.md | |
adithya7 | null | @article{pratapa-etal-2022-multilingual,
title = {Multilingual Event Linking to Wikidata},
author = {Pratapa, Adithya and Gupta, Rishubh and Mitamura, Teruko},
publisher = {arXiv},
year = {2022},
url = {https://arxiv.org/abs/2204.06535},
} | XLEL-WD is a multilingual event linking dataset. This sub-dataset contains a dictionary of events from Wikidata. The multilingual descriptions for Wikidata event items are taken from the corresponding Wikipedia articles. | false | 16 | false | adithya7/xlel_wd_dictionary | 2022-07-01T17:30:21.000Z | null | false | 996e72dea151ca0856d1d16efd71f560b18da817 | [] | [
"arxiv:2204.06535",
"annotations_creators:found",
"language_creators:found",
"language:af",
"language:ar",
"language:be",
"language:bg",
"language:bn",
"language:ca",
"language:cs",
"language:da",
"language:de",
"language:el",
"language:en",
"language:es",
"language:fa",
"language:fi... | https://huggingface.co/datasets/adithya7/xlel_wd_dictionary/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- af
- ar
- be
- bg
- bn
- ca
- cs
- da
- de
- el
- en
- es
- fa
- fi
- fr
- he
- hi
- hu
- id
- it
- ja
- ko
- ml
- mr
- ms
- nl
- 'no'
- pl
- pt
- ro
- ru
- si
- sk
- sl
- sr
- sv
- sw
- ta
- te
- th
- tr
- uk
- vi
- zh
license:
- cc-by-4.0
multil... |
adithya7 | null | @article{pratapa-etal-2022-multilingual,
title = {Multilingual Event Linking to Wikidata},
author = {Pratapa, Adithya and Gupta, Rishubh and Mitamura, Teruko},
publisher = {arXiv},
year = {2022},
url = {https://arxiv.org/abs/2204.06535},
} | XLEL-WD is a multilingual event linking dataset. This dataset contains mention references from multilingual Wikipedia/Wikinews articles to event items in Wikidata. The text descriptions for Wikidata events are compiled from Wikipedia articles. | false | 18 | false | adithya7/xlel_wd | 2022-07-13T07:46:57.000Z | null | false | a6d542d37b24cc1f2536af5e4afb850b9641e3ff | [] | [
"arxiv:2204.06535",
"annotations_creators:found",
"language_creators:found",
"language:af",
"language:ar",
"language:be",
"language:bg",
"language:bn",
"language:ca",
"language:cs",
"language:da",
"language:de",
"language:el",
"language:en",
"language:es",
"language:fa",
"language:fi... | https://huggingface.co/datasets/adithya7/xlel_wd/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- af
- ar
- be
- bg
- bn
- ca
- cs
- da
- de
- el
- en
- es
- fa
- fi
- fr
- he
- hi
- hu
- id
- it
- ja
- ko
- ml
- mr
- ms
- nl
- 'no'
- pl
- pt
- ro
- ru
- si
- sk
- sl
- sr
- sv
- sw
- ta
- te
- th
- tr
- uk
- vi
- zh
license:
- cc-by-4.0
multil... |
Lumos | null | null | null | false | 3 | false | Lumos/imdb_test | 2022-04-22T03:11:35.000Z | null | false | 8938cae73cbe122b5af2f8d483f48e3112f533e6 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Lumos/imdb_test/resolve/main/README.md | ---
license: apache-2.0
---
|
AntoineLB | null | null | null | false | 3 | false | AntoineLB/FrozenLakeFrozen | 2022-04-22T07:57:15.000Z | null | false | a156ba94142aa70a7ed31153a815f3990d87ff03 | [] | [] | https://huggingface.co/datasets/AntoineLB/FrozenLakeFrozen/resolve/main/README.md | # Dataset Card for [FrozenLake-v1] with slippery = True
|
pietrolesci | null | null | null | false | 2 | false | pietrolesci/fracas | 2022-04-25T08:40:07.000Z | null | false | b9dee7e7cf675ed6f2b97378b8de74920162b617 | [] | [] | https://huggingface.co/datasets/pietrolesci/fracas/resolve/main/README.md | ## Overview
Original dataset [here](https://github.com/felipessalvatore/NLI_datasets).
Below the original description reported for convenience.
```latex
@MISC{Fracas96,
author = {{The Fracas Consortium} and Robin Cooper and Dick Crouch and Jan Van Eijck and Chris Fox and Josef Van Genabith and Jan Jaspars and Han... |
loretoparisi | null | null | null | false | 3 | false | loretoparisi/tatoeba-sentences | 2022-04-27T17:26:31.000Z | null | false | af87ac826a01c8ce7aaed0015c8710cee48007bc | [] | [
"license:cc-by-2-0"
] | https://huggingface.co/datasets/loretoparisi/tatoeba-sentences/resolve/main/README.md | ---
license: cc-by-2-0
---
licenses:
- cc-by-2-0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: tatoeba
pretty_name: Tatoeba
---
# Dataset Card for Tatoeba
## Table of Contents
- [Dataset Description](#dataset-desc... |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/scitail | 2022-04-25T10:40:47.000Z | null | false | 36dbc520e45ddad0b14c6526ebbae8ed01bc5d7c | [] | [] | https://huggingface.co/datasets/pietrolesci/scitail/resolve/main/README.md | ## Overview
Original dataset is available on the HuggingFace Hub [here](https://huggingface.co/datasets/scitail).
## Dataset curation
This is the same as the `snli_format` split of the SciTail dataset available on the HuggingFace Hub (i.e., same data, same splits, etc).
The only differences are the following:
- sele... |
taln-ls2n | null | @inproceedings{bougouin-etal-2016-termith,
title = "{T}erm{ITH}-Eval: a {F}rench Standard-Based Resource for Keyphrase Extraction Evaluation",
author = "Bougouin, Adrien and
Barreaux, Sabine and
Romary, Laurent and
Boudin, Florian and
Daille, B{\'e}atrice",
booktitle = "Proceedin... | TermITH-Eval benchmark dataset for keyphrase extraction an generation. | false | 3 | false | taln-ls2n/termith-eval | 2022-09-23T07:49:04.000Z | null | false | 2dceb8142327bf9eac3ff8927e2f39533a4afc8e | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:fr",
"license:cc-by-4.0",
"multilinguality:multilingual",
"task_categories:text-generation",
"task_ids:keyphrase-generation",
"task_ids:keyphrase-extraction",
"size_categories:n<1K"
] | https://huggingface.co/datasets/taln-ls2n/termith-eval/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- fr
license: cc-by-4.0
multilinguality:
- multilingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- n<1K
pretty_name: TermITH-Eval
---
# TermITH-Eval Benchmark Data... |
cfilt | null | XX | This is the repository for HiNER - a large Hindi Named Entity Recognition dataset. | false | 8 | false | cfilt/HiNER-collapsed | 2022-07-30T12:27:02.000Z | hiner-collapsed-1 | false | e9b4d6d480d6f0aa846774ac6437423003577692 | [] | [
"arxiv:2204.13743",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:hi",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:token-classification",
"task_ids:named-entity-recogniti... | https://huggingface.co/datasets/cfilt/HiNER-collapsed/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- hi
license: "cc-by-sa-4.0"
multilinguality:
- monolingual
paperswithcode_id: hiner-collapsed-1
pretty_name: HiNER - Large Hindi Named Entity Recognition dataset
size_categories:
- 100K<n<1M
source_datasets:
- original
task_ca... |
surrey-nlp | null | This is the dataset repository for SDU Dataset from SDU workshop at AAAI22.
The dataset can help build sequence labelling models for the task Abbreviation Detection. | false | 3 | false | surrey-nlp/SDU-test | 2022-04-24T07:11:10.000Z | null | false | 1c2747b56b9f6f1f22dbd7ca543447f6a900fc1a | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/surrey-nlp/SDU-test/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
| |
taln-ls2n | null | @inproceedings{boudin-etal-2016-document,
title = "How Document Pre-processing affects Keyphrase Extraction Performance",
author = "Boudin, Florian and
Mougard, Hugo and
Cram, Damien",
booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
month = dec,
yea... | Preprocessed SemEval-2010 Benchmark dataset for Keyphrase Generation. | false | 22 | false | taln-ls2n/semeval-2010-pre | 2022-09-23T07:37:43.000Z | null | false | c98da16de9bf6c8c09143b61be6079f85bfd1373 | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"task_categories:text-generation",
"task_ids:keyphrase-generation",
"task_ids:keyphrase-extraction",
"size_categories:n<1K"
] | https://huggingface.co/datasets/taln-ls2n/semeval-2010-pre/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- n<1K
pretty_name: Preprocessed SemEval-2010 Benchmark dataset
---... |
pietrolesci | null | null | null | false | 92 | false | pietrolesci/mpe | 2022-04-25T09:00:18.000Z | null | false | 5bd658aa3bfea14d2c051f1c7dd34b456bbda4a0 | [] | [] | https://huggingface.co/datasets/pietrolesci/mpe/resolve/main/README.md | ## Overview
Original dataset [here](https://github.com/aylai/MultiPremiseEntailment).
## Dataset curation
Same data and splits as the original. The following columns have been added:
- `premise`: concatenation of `premise1`, `premise2`, `premise3`, and `premise4`
- `label`: encoded `gold_label` with the following m... |
pietrolesci | null | null | null | false | 2 | false | pietrolesci/add_one_rte | 2022-04-25T08:48:42.000Z | null | false | a5bdde974239556a20e6fc1624c2e32ee20b0c6a | [] | [] | https://huggingface.co/datasets/pietrolesci/add_one_rte/resolve/main/README.md | ## Overview
Original data available [here](http://www.seas.upenn.edu/~nlp/resources/AN-composition.tgz).
## Dataset curation
`premise` and `hypothesis` columns have been cleaned following common practices ([1](https://github.com/rabeehk/robust-nli/blob/c32ff958d4df68ac2fad9bf990f70d30eab9f297/data/scripts/add_one_r... |
AndresPitta | null | null | null | false | 2 | false | AndresPitta/sg-reports_labeled | 2022-10-25T10:08:57.000Z | null | false | c021bbdca0b644116166a56119e2adf49e575647 | [] | [
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"language:en-US",
"license:unknown",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/AndresPitta/sg-reports_labeled/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- machine-generated
language:
- en-US
license:
- unknown
multilinguality:
- monolingual
pretty_name: Gender language in the reports of the secretary general 2020-2021
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-classificatio... |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/recast_white | 2022-04-22T15:34:14.000Z | null | false | 49f76692fb17d5f51bfff93c80276ba700010005 | [] | [] | https://huggingface.co/datasets/pietrolesci/recast_white/resolve/main/README.md | ## Overview
This dataset has been introduced by "Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework", Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme. IJCNLP, 2017. Original data available [here](https://github.com/decompositional-semantics-initiative/DNC/ra... |
Pavithree | null | null | null | false | 2 | false | Pavithree/askHistorians | 2022-04-22T16:22:10.000Z | null | false | 9603afe1e507fdc70f80ab3c532872fb217c7cc5 | [] | [] | https://huggingface.co/datasets/Pavithree/askHistorians/resolve/main/README.md | This dataset is the subset of original eli5 dataset from hugging face. |
Pavithree | null | null | null | false | 1 | false | Pavithree/askScience | 2022-04-22T16:45:27.000Z | null | false | 9372640c3a19eeae1396f9137339a8081fe38caa | [] | [] | https://huggingface.co/datasets/Pavithree/askScience/resolve/main/README.md | This dataset is derived from the eli5 dataset vailable on hugging face. |
deancgarcia | null | null | null | false | 85 | false | deancgarcia/Diversity | 2022-06-29T21:12:55.000Z | null | false | 7c6fac1d3cf37929876def373f38bbbbfb337a16 | [] | [] | https://huggingface.co/datasets/deancgarcia/Diversity/resolve/main/README.md | [Needs More Information]
# Dataset Card for dei_article_sentiment
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instance... |
ntcuong777 | null | null | null | false | 2 | false | ntcuong777/iuontology | 2022-04-23T14:49:22.000Z | null | false | 765f4ff12812f047f92bd417ed64e5578436ebfe | [] | [] | https://huggingface.co/datasets/ntcuong777/iuontology/resolve/main/README.md | # Dataset Card for [IU Ontology Trahsed]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#data... |
johnowhitaker | null | null | null | false | 5 | false | johnowhitaker/vqgan1024_reconstruction | 2022-04-23T12:50:13.000Z | null | false | ef89c8242e095980a51c2264b0439ef0920ff2b1 | [] | [] | https://huggingface.co/datasets/johnowhitaker/vqgan1024_reconstruction/resolve/main/README.md | VQGAN is great, but leaves artifacts that are especially visible around things like faces.
It's be great to be able to train a model to fix ('devqganify') these flaws.
For this purpose, I've made this dataset, which contains 100k examples, each with
- A 512px image
- A smaller 256px version of the same image
- A rec... |
Neku | null | null | null | false | 3 | false | Neku/meme | 2022-04-23T06:37:43.000Z | null | false | 62371637e4c902138b1a813028c29d509b875084 | [] | [
"license:artistic-2.0"
] | https://huggingface.co/datasets/Neku/meme/resolve/main/README.md | ---
license: artistic-2.0
---
|
Pavithree | null | null | null | false | 2 | false | Pavithree/eli5_split | 2022-04-23T08:33:53.000Z | null | false | 45fcb031e0510483c13d10b6557aae26fc85df52 | [] | [] | https://huggingface.co/datasets/Pavithree/eli5_split/resolve/main/README.md | This dataset is the subset of original eli5 dataset available in hugging face space |
dnaveenr | null | null | null | false | 3 | false | dnaveenr/cmu_mocap | 2022-04-24T11:33:25.000Z | null | false | 9bcb69f0dcc08b2097900c96c7f1332276aede6e | [] | [
"license:other"
] | https://huggingface.co/datasets/dnaveenr/cmu_mocap/resolve/main/README.md | ---
license: other
---
|
AliceTears | null | null | null | false | 3 | false | AliceTears/thanadol_sin | 2022-04-23T10:37:28.000Z | null | false | d616736b70abaddf043ab517649e367b0d2bb20c | [] | [] | https://huggingface.co/datasets/AliceTears/thanadol_sin/resolve/main/README.md | |
johnowhitaker | null | null | null | false | 1 | false | johnowhitaker/vqgan1024_encs_sf | 2022-04-23T16:22:37.000Z | null | false | a4060f6c30fac71147c6f424fd6adb3b0b753f59 | [] | [] | https://huggingface.co/datasets/johnowhitaker/vqgan1024_encs_sf/resolve/main/README.md | Images from CC12M encoded with VQGAN f16 1024
Script to continue prep is included in the repo if you want more than the ~1.5M images I did here.
VQGAN model:
```
!curl -L 'https://heibox.uni-heidelberg.de/d/8088892a516d4e3baf92/files/?p=%2Fckpts%2Flast.ckpt&dl=1' > vqgan_im1024.ckpt
!curl -L 'https://heibox.uni-heide... |
qanastek | null | @misc{fitzgerald2022massive,
title={MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages},
author={Jack FitzGerald and Christopher Hench and Charith Peris and Scott Mackie and Kay Rottmann and Ana Sanchez and Aaron Nash and Liam Urbach and Vishes... | MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
for the Natural Language Understanding tasks of intent prediction and slot annotation.
Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
the SLURP dataset, composed of general Intelligent Voice As... | false | 291 | false | qanastek/MASSIVE | 2022-10-25T05:03:05.000Z | null | false | 70bf52d65f55a34b4901c3d93e29566af2fb2dcf | [] | [
"arxiv:2204.08582",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"language:af",
"language:am",
"language:ar",
"language:az",
"language:bn",
"language:cy",
"language:da",
"language:de",
"language:el",
"language:en",
"languag... | https://huggingface.co/datasets/qanastek/MASSIVE/resolve/main/README.md | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
language:
- af
- am
- ar
- az
- bn
- cy
- da
- de
- el
- en
- es
- fa
- fi
- fr
- he
- hi
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- km
- kn
- ko
- lv
- ml
- mn
- ms
- my
- nb
- nl
- pl
- pt
- ro
- ru
- sl
- sq
- sv
- sw
- ta
- t... |
johnowhitaker | null | null | null | false | 2 | false | johnowhitaker/vqgan16k_reconstruction | 2022-04-24T06:13:26.000Z | null | false | 5ccd054e794667994e2fd3b6a5ff01bed70f9acf | [] | [] | https://huggingface.co/datasets/johnowhitaker/vqgan16k_reconstruction/resolve/main/README.md | VQGAN is great, but leaves artifacts that are especially visible around things like faces.
It's be great to be able to train a model to fix ('devqganify') these flaws.
For this purpose, I've made this dataset, which contains >100k examples, each with
- A 512px image
- A smaller 256px version of the same image
- A re... |
chrishuber | null | null | null | false | 99 | false | chrishuber/kaggle_mnli | 2022-04-23T19:19:52.000Z | null | false | ebe02645e5511e32c87c79746a75dc2d45bae062 | [] | [
"arxiv:1704.05426"
] | https://huggingface.co/datasets/chrishuber/kaggle_mnli/resolve/main/README.md | # Dataset Card for [Kaggle MNLI]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... |
IDKiro | null | null | null | false | 1 | false | IDKiro/RS-Haze | 2022-04-24T03:13:23.000Z | null | false | 097c993ccff5f61f4c0cfc30e09203e60f214e6a | [] | [
"license:gpl-3.0"
] | https://huggingface.co/datasets/IDKiro/RS-Haze/resolve/main/README.md | ---
license: gpl-3.0
---
|
d0r1h | null | null | null | false | 3 | false | d0r1h/Shlokam | 2022-10-25T10:09:04.000Z | null | false | ac3f65840a512ce745231e9d6339c2bc83e61582 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:sn",
"language:en",
"license:cc-by-3.0",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original"
] | https://huggingface.co/datasets/d0r1h/Shlokam/resolve/main/README.md | ---
annotations_creators: found
language_creators:
- found
language:
- sn
- en
license: cc-by-3.0
multilinguality:
- translation
size_categories:
- 1K<n<10K
source_datasets:
- original
pretty_name: Shlokam
---
## Dataset Description
- **Homepage:** None
- **Repository:** None
- **Paper:** None
- **Leaderboard:** [Mor... |
McGill-NLP | null | @article{dziri2022faithdial,
title={FaithDial: A Faithful Benchmark for Information-Seeking Dialogue},
author={Dziri, Nouha and Kamalloo, Ehsan and Milton, Sivan and Zaiane, Osmar and Yu, Mo and Ponti, Edoardo and Reddy, Siva},
journal={arXiv preprint, arXiv:2204.10757},
year={2022},
url={https://arxiv.org/ab... | FaithDial is a new benchmark for hallucination-free dialogues, created by manually editing hallucinated and uncooperative responses in Wizard of Wikipedia. | false | 56 | false | McGill-NLP/FaithDial | 2022-10-25T05:06:34.000Z | null | false | 47a8e1316d167084bc9dbbb5c02a1ccbaa0c32a9 | [] | [
"arxiv:2204.10757",
"license:mit",
"annotations_creators:crowdsourced",
"language:en",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"task_categories:text-generation",
"task_categories:conversational",
"task_ids:dialogue-modeling",
"task_ids:faithful-dialogue-modeling",
"task_ids:... | https://huggingface.co/datasets/McGill-NLP/FaithDial/resolve/main/README.md | ---
license:
- mit
annotations_creators:
- crowdsourced
language:
- en
multilinguality:
- monolingual
size_categories:
- 10K<n<100k
task_categories:
- text-generation
- conversational
task_ids:
- dialogue-modeling
- faithful-dialogue-modeling
- trustworthy-dialogue-modeling
pretty_name: A Faithful Benchmark for Informa... |
Fhrozen | null | null | null | false | 2 | false | Fhrozen/tau_srir_db | 2022-05-06T15:43:42.000Z | null | false | 2191bab9142048702b9dc42b96a632237f35c993 | [] | [
"license:unknown",
"annotations_creators:unknown",
"language_creators:unknown",
"size_categories:n<1K",
"source_datasets:unknown",
"task_categories:audio-classification",
"task_ids:other-audio-slot-filling"
] | https://huggingface.co/datasets/Fhrozen/tau_srir_db/resolve/main/README.md | ---
license: unknown
annotations_creators:
- unknown
language_creators:
- unknown
size_categories:
- n<1K
source_datasets:
- unknown
task_categories:
- audio-classification
task_ids:
- other-audio-slot-filling
---
# TAU Spatial Room Impulse Response Database (TAU-SRIR DB)
## Important
**This is a copy from the Zenod... |
NbAiLab | null | null | null | false | 2 | false | NbAiLab/old_hesitate | 2022-05-10T09:35:45.000Z | null | false | 5d6ff96175083092f0c6c834dab88bfb3f8f6710 | [] | [] | https://huggingface.co/datasets/NbAiLab/old_hesitate/resolve/main/README.md | |
pietrolesci | null | null | null | false | 1 | false | pietrolesci/dialogue_nli | 2022-04-25T08:39:10.000Z | null | false | f23677a6713b1558fe0e6ba3ec8db76ec8e49e98 | [] | [] | https://huggingface.co/datasets/pietrolesci/dialogue_nli/resolve/main/README.md | ## Overview
Original dataset available [here](https://wellecks.github.io/dialogue_nli/).
## Dataset curation
Original `label` column is renamed `original_label`. The original classes are renamed as follows
```
{"positive": "entailment", "negative": "contradiction", "neutral": "neutral"})
```
and encoded with the fo... |
pietrolesci | null | null | null | false | 2 | false | pietrolesci/dnc | 2022-04-25T08:59:06.000Z | null | false | 1b34f1c8b073c6782b68dc3c5c10ef6356a284d3 | [] | [] | https://huggingface.co/datasets/pietrolesci/dnc/resolve/main/README.md | ## Overview
Original dataset [here](https://github.com/decompositional-semantics-initiative/DNC).
This dataset has been proposed in [Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://www.aclweb.org/anthology/D18-1007/).
## Dataset curation
This version of the data... |
jordane95 | null | @misc{bajaj2018ms,
title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},
author={Payal Bajaj and Daniel Campos and Nick Craswell and Li Deng and Jianfeng Gao and Xiaodong Liu
and Rangan Majumder and Andrew McNamara and Bhaskar Mitra and Tri Nguyen and Mir Rosenberg and Xia Song
... | null | false | 3 | false | jordane95/msmarco-passage-query | 2022-04-25T09:51:26.000Z | null | false | bf371176ef4483c941b8aebc6403dcb6c33368f0 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/jordane95/msmarco-passage-query/resolve/main/README.md | ---
license: afl-3.0
---
|
jordane95 | null | @misc{bajaj2018ms,
title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},
author={Payal Bajaj and Daniel Campos and Nick Craswell and Li Deng and Jianfeng Gao and Xiaodong Liu
and Rangan Majumder and Andrew McNamara and Bhaskar Mitra and Tri Nguyen and Mir Rosenberg and Xia Song
... | null | false | 2 | false | jordane95/msmarco-passage-query-corpus | 2022-04-25T09:48:38.000Z | null | false | 40dc85993a2af7b0a78a0daa32beb174cf000e84 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/jordane95/msmarco-passage-query-corpus/resolve/main/README.md | ---
license: afl-3.0
---
|
Meena | null | null | null | false | 2 | false | Meena/imdb_ratings_table | 2022-04-25T09:25:49.000Z | null | false | bbf6138e30cff48af0b9fa46ed710f68400dde85 | [] | [] | https://huggingface.co/datasets/Meena/imdb_ratings_table/resolve/main/README.md | This dataset contains IMDB Ratings of various movies of different languages. This dataset also contains the number of votes each movies received |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/stress_tests_nli | 2022-04-25T09:32:28.000Z | null | false | fbd6fcc5c3b8dc79ad26eaced52d7f04c6fea6d7 | [] | [] | https://huggingface.co/datasets/pietrolesci/stress_tests_nli/resolve/main/README.md | ## Overview
Original dataset page [here](https://abhilasharavichander.github.io/NLI_StressTest/) and dataset available [here](https://drive.google.com/open?id=1faGA5pHdu5Co8rFhnXn-6jbBYC2R1dhw).
## Dataset curation
Added new column `label` with encoded labels with the following mapping
```
{"entailment": 0, "neutra... |
pietrolesci | null | null | null | false | 1 | false | pietrolesci/gen_debiased_nli | 2022-04-25T09:49:52.000Z | null | false | 8526f3a347c2d5760dc79a3dbe88134cc89c36b9 | [] | [] | https://huggingface.co/datasets/pietrolesci/gen_debiased_nli/resolve/main/README.md | ## Overview
Original dataset available [here](https://github.com/jimmycode/gen-debiased-nli#training-with-our-datasets).
```latex
@inproceedings{gen-debiased-nli-2022,
title = "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets",
author = "Wu, Yuxiang and
Gardner, M... |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/gpt3_nli | 2022-04-25T10:17:45.000Z | null | false | 48d27a285f1919f3f7e6cd53b6a07fb13a238efb | [] | [] | https://huggingface.co/datasets/pietrolesci/gpt3_nli/resolve/main/README.md | ## Overview
Original dataset available [here](https://github.com/krandiash/gpt3-nli). Debiased dataset generated with GPT-3.
## Dataset curation
All string columns are stripped. Labels are encoded with the following mapping
```
{"entailment": 0, "neutral": 1, "contradiction": 2}
```
## Code to create the dataset
`... |
BritishLibraryLabs | null | TODO | The dataset comprises a manually curated selective archive produced by UKWA which includes the classification of sites into a two-tiered subject hierarchy. | false | 3 | false | BritishLibraryLabs/web_archive_classification | 2022-10-25T10:12:01.000Z | null | false | 9bcbd688f444afa216b24d96dad67521e401e842 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-labe... | https://huggingface.co/datasets/BritishLibraryLabs/web_archive_classification/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
pretty_name: UK Selective Web Archive Classification Dataset
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- mult... |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/robust_nli | 2022-04-25T11:45:07.000Z | null | false | 429dde22805398bdd6cfece27284f53a44ed6e67 | [] | [] | https://huggingface.co/datasets/pietrolesci/robust_nli/resolve/main/README.md | ## Overview
Original dataset is available in the original [Github repo](https://github.com/tyliupku/nli-debiasing-datasets).
This dataset is a collection of NLI benchmarks constructed as described in the paper
[An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference](https://acl... |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/robust_nli_li_ts | 2022-04-25T11:49:51.000Z | null | false | 8ede2d7bf4531a7b210c793fe7b9e483b871c8f5 | [] | [] | https://huggingface.co/datasets/pietrolesci/robust_nli_li_ts/resolve/main/README.md | This is part of `robust_NLI`but since there seems to be a bug when loading and downloading
`DatasetDict` containing datasets with different configurations, I loaded the datasets with
the differing configs as standalone datasets.
Issue here: [https://github.com/huggingface/datasets/issues/4211](https://github.com/huggi... |
pietrolesci | null | null | null | false | 2 | false | pietrolesci/robust_nli_is_sd | 2022-04-25T13:07:25.000Z | null | false | 338d9797bb910381f7493343991c1055d425b9c4 | [] | [] | https://huggingface.co/datasets/pietrolesci/robust_nli_is_sd/resolve/main/README.md | This is part of `robust_NLI`but since there seems to be a bug when loading and downloading
`DatasetDict` containing datasets with different configurations, I loaded the datasets with
the differing configs as standalone datasets.
Issue here: [https://github.com/huggingface/datasets/issues/4211](https://github.com/huggi... |
jamescalam | null | null | null | false | 65 | false | jamescalam/reddit-python | 2022-04-25T12:41:35.000Z | null | false | c47716065f1f2076c39c806dd7007027342da502 | [] | [] | https://huggingface.co/datasets/jamescalam/reddit-python/resolve/main/README.md | # Python Subreddit
Dataset containing data scraped from the [Python subreddit](https://www.reddit.com/r/python). |
loubnabnl | null | null | null | false | 3 | false | loubnabnl/tokenized-github-code-python | 2022-04-28T00:13:55.000Z | null | false | 2e7504f0d4a70d6bf0373a39767ecd2f85ae0d9f | [] | [] | https://huggingface.co/datasets/loubnabnl/tokenized-github-code-python/resolve/main/README.md | # Pretokenized GitHub Code Dataset
## Dataset Description
This is a pretokenized version of the Python files of the [GitHub Code dataset](https://huggingface.co/datasets/lvwerra/github-code), that consists of 115M code files from GitHub in 32 programming languages. We tokenized the dataset using BPE Tokenizer trained ... |
pietrolesci | null | null | null | false | 4 | false | pietrolesci/joci | 2022-04-25T13:33:08.000Z | null | false | 8371e5cf43c3564daa1314ecf6086b58fcbf2178 | [] | [] | https://huggingface.co/datasets/pietrolesci/joci/resolve/main/README.md | ## Overview
Original dataset available [here](https://github.com/sheng-z/JOCI/tree/master/data).
This dataset is the "full" JOCI dataset, which is the file named `joci.csv.zip`.
# Dataset curation
The following processing is applied,
- `label` column renamed to `original_label`
- creation of the `label` column usi... |
pietrolesci | null | null | null | false | 2 | false | pietrolesci/breaking_nli | 2022-04-25T13:37:23.000Z | null | false | 82b6583887562130331c99bba2c994b44eae310f | [] | [] | https://huggingface.co/datasets/pietrolesci/breaking_nli/resolve/main/README.md | ## Overview
Proposed by
```latex
@InProceedings{glockner_acl18,
author = {Glockner, Max and Shwartz, Vered and Goldberg, Yoav},
title = {Breaking NLI Systems with Sentences that Require Simple Lexical Inferences},
booktitle = {The 56th Annual Meeting of the Association for Computational Linguistics (ACL)}... |
pietrolesci | null | null | null | false | 3 | false | pietrolesci/copa_nli | 2022-04-25T13:47:10.000Z | null | false | e39c4231c5c09a3ee1d3fd9e9bdfab466a6254f6 | [] | [] | https://huggingface.co/datasets/pietrolesci/copa_nli/resolve/main/README.md | ## Overview
Original dataset available [here](https://people.ict.usc.edu/~gordon/copa.html).
Current dataset extracted from [this repo](https://github.com/felipessalvatore/NLI_datasets).
This is the "full" dataset.
# Curation
Same curation as the one applied in [this repo](https://github.com/felipessalvatore/NLI_dat... |
cfilt | null | This is the dataset repository for HiNER Dataset accepted to be published at LREC 2022.
The dataset can help build sequence labelling models for the task Named Entity Recognitin for the Hindi language. | false | 83 | false | cfilt/HiNER-original | 2022-07-30T12:26:20.000Z | hiner-original-1 | false | f37d0b967d5016180d0948d991708d80834ba5b1 | [] | [
"arxiv:2204.13743",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:hi",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:token-classification",
"task_ids:named-entity-recogniti... | https://huggingface.co/datasets/cfilt/HiNER-original/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- hi
license: "cc-by-sa-4.0"
multilinguality:
- monolingual
paperswithcode_id: hiner-original-1
pretty_name: HiNER - Large Hindi Named Entity Recognition dataset
size_categories:
- 100K<n<1M
source_datasets:
- original
task_cat... | |
xap | null | null | null | false | 2 | false | xap/testing | 2022-05-03T18:20:07.000Z | null | false | 6cdfae511d10a6fc82a9ed35684b04041e97683d | [] | [
"license:cc"
] | https://huggingface.co/datasets/xap/testing/resolve/main/README.md | ---
license: cc
---
|
rosimeirecosta | null | false | 1 | false | rosimeirecosta/c_corpus | 2022-04-25T20:03:08.000Z | null | false | f88b0c931a28aac0824a988e60b76e5a83fd0da3 | [] | [] | https://huggingface.co/datasets/rosimeirecosta/c_corpus/resolve/main/README.md | annotations_creators:
- annotation
languages:
- pt-br
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- ner
# Dataset Card for c_corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-lead... | ||
AmirulOm | null | null | null | false | 1 | false | AmirulOm/lottie-urls | 2022-10-25T10:12:14.000Z | null | false | 709fd56c19915e82eafc9bc39780e078daee5e00 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"license:unknown",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:image-segmentation",
"task_ids:instance-segmentation"
] | https://huggingface.co/datasets/AmirulOm/lottie-urls/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language: []
license:
- unknown
multilinguality: []
pretty_name: lottie-uri
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- image-segmentation
task_ids:
- instance-segmentation
---
# Dataset Card for [Dataset Name]
## Ta... |
Davincilee | null | null | null | false | 2 | false | Davincilee/closure_system_door_inner | 2022-04-29T20:59:50.000Z | null | false | d9a925c71de5280a6397b8e433b506a031f95a53 | [] | [
"license:lgpl-3.0"
] | https://huggingface.co/datasets/Davincilee/closure_system_door_inner/resolve/main/README.md | ---
license: lgpl-3.0
---
|
hrithikpiyush | null | null | null | false | 11 | false | hrithikpiyush/acl-arc | 2022-04-26T11:40:41.000Z | null | false | 8c7dd451752096e3932fcbbdc051d65be8dbd662 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/hrithikpiyush/acl-arc/resolve/main/README.md | ---
license: apache-2.0
---
|
eleldar | null | null | null | false | 2 | false | eleldar/different_sub_normal_datasets | 2022-06-16T11:19:15.000Z | null | false | ac97fe2b8719890567bea1fbcf9a5b22594bf88b | [] | [] | https://huggingface.co/datasets/eleldar/different_sub_normal_datasets/resolve/main/README.md | Dataset for API: https://github.com/eleldar/Translation |
BigScienceBiasEval | null | @inproceedings{neveol2022french,
title={French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English},
author={N{\'e}v{\'e}ol, Aur{\'e}lie and Dupont, Yoann and Bezan{\c{c}}on, Julien and Fort, Kar{\"e}n},
booktitle={ACL 2022-60th Annual Me... | This is a revised version of CrowS-Pairs that measures stereotypes in language modelling in both English and French. | false | 382 | false | BigScienceBiasEval/crows_pairs_multilingual | 2022-04-26T16:26:28.000Z | null | false | ac47d0f12d6905b94389e937e8f24fae21b9c66c | [] | [
"arxiv:2010.00133",
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/BigScienceBiasEval/crows_pairs_multilingual/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
Original from https://gitlab.inria.fr/french-crows-pairs/acl-2022-paper-data-and-code/-/tree/main/.
# Data Statement for CrowS-Pairs-fr
> **How to use this document:**
> Fill in each section according to the instructions. Give as much detail as you can, but there's no need to extrapolat... |
albertxu | null | null | null | false | 2 | false | albertxu/CrosswordQA | 2022-10-29T23:45:36.000Z | null | false | 5e93d44a6d6fb1fe35c41df7af170a8618b23e70 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"task_categories:question-answering",
"task_ids:open-domain-qa"
] | https://huggingface.co/datasets/albertxu/CrosswordQA/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
task_categories:
- question-answering
task_ids:
- open-domain-qa
---
# Dataset Card for CrosswordQA
## Table of Contents
- [Dataset Description](#dataset-de... |
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