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class | downloads float64 1 1M ⌀ | gated bool 2
classes | id stringlengths 2 108 | lastModified stringlengths 24 24 | paperswithcode_id stringlengths 2 45 ⌀ | private bool 2
classes | sha stringlengths 40 40 | siblings list | tags list | readme_url stringlengths 57 163 | readme stringlengths 0 977k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
huggingnft | null | null | null | false | 1 | false | huggingnft/trippytoadznft | 2022-04-16T17:59:07.000Z | null | false | 9ccb67fe13acc0f05adbaf8883ba978d4673f857 | [] | [
"tags:huggingnft",
"tags:nft",
"tags:huggan",
"tags:gan",
"tags:image",
"tags:images",
"task:unconditional-image-generation",
"datasets:huggingnft/trippytoadznft",
"license:mit"
] | https://huggingface.co/datasets/huggingnft/trippytoadznft/resolve/main/README.md | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/trippytoadznft
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Tabl... |
huggingnft | null | null | null | false | 1 | false | huggingnft/boredapeyachtclub | 2022-04-16T17:59:08.000Z | null | false | 2d572e61e1204fe8374ca7768511f0a6b57639ac | [] | [
"tags:huggingnft",
"tags:nft",
"tags:huggan",
"tags:gan",
"tags:image",
"tags:images",
"task:unconditional-image-generation",
"datasets:huggingnft/boredapeyachtclub",
"license:mit"
] | https://huggingface.co/datasets/huggingnft/boredapeyachtclub/resolve/main/README.md | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/boredapeyachtclub
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## T... |
iluvvatar | null | null | null | false | 1 | false | iluvvatar/RuREBus | 2022-10-23T05:39:57.000Z | null | false | 95963eef1d1bb95abde1032961459dbab22fee58 | [] | [
"language:ru",
"multilinguality:monolingual",
"task_ids:named-entity-recognition"
] | https://huggingface.co/datasets/iluvvatar/RuREBus/resolve/main/README.md | ---
language:
- ru
multilinguality:
- monolingual
pretty_name: RuREBus
task_categories:
- structure-prediction
task_ids:
- named-entity-recognition
---
# RuREBus dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Citation Information](#citation-info... |
lewtun | null | null | null | false | 1 | false | lewtun/top_quark_tagging_old | 2022-04-10T16:24:28.000Z | null | false | 5804347ff724db187d3aa0260f2e23e4af5a111c | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/lewtun/top_quark_tagging_old/resolve/main/README.md | ---
license: cc-by-4.0
---
|
nsusemiehl | null | null | null | false | 1 | false | nsusemiehl/SciERC | 2022-04-10T16:56:55.000Z | null | false | 0c4d3efa8324ce171b8e8393b713786f64c63612 | [] | [] | https://huggingface.co/datasets/nsusemiehl/SciERC/resolve/main/README.md | SCIERC (Luan et al., 2018) via "Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks" (Gururangan et al., 2020) reuploaded because of error encountered when trying to load zj88zj/SCIERC with the huggingfaces/datasets library. |
arjundd | null | null | null | false | 1 | false | arjundd/skm-tea-mini | 2022-05-02T20:01:34.000Z | null | false | 6cfe8e5afe107823c07b64d48e333b9b85ae332b | [] | [
"arxiv:2203.06823",
"language:en",
"license:other",
"tags:mri",
"tags:quantitative mri",
"tags:reconstruction",
"tags:segmentation",
"tags:detection"
] | https://huggingface.co/datasets/arjundd/skm-tea-mini/resolve/main/README.md | ---
language: en
license: other
tags:
- mri
- quantitative mri
- reconstruction
- segmentation
- detection
---
# SKM-TEA Sample Data
This dataset consists of a subset of scans from the [SKM-TEA dataset](https://arxiv.org/abs/2203.06823). It can be used to build tutorials / demos with the SKM-TEA dataset.
To access to ... |
mattgmcadams | null | null | null | false | 1 | false | mattgmcadams/AirDrums | 2022-04-11T00:40:23.000Z | null | false | 456a91903148a8a02f7903b4941ef21ef6f7366f | [] | [
"language:en",
"tags:sensor",
"tags:location",
"datasets:2d_images",
"datasets:3d_images",
"datasets:2d_imu",
"datasets:3d_imu"
] | https://huggingface.co/datasets/mattgmcadams/AirDrums/resolve/main/README.md | # AirDrums Data
This dataset contains all data needed for training
`2d_images` contains raw unsegmented image data for 2-dimensional dataset. filenames are representative of timestamp
`3d_images` contains raw unsegmented image data (paired) for 3-dimensional dataset. filenames are representative of timestamp and came... |
surdan | null | null | null | false | 2 | false | surdan/nerel_short | 2022-10-25T10:06:49.000Z | null | false | 4fcdce42bb4668907d572c4ae6ac03307847a7ff | [] | [
"language:ru",
"multilinguality:monolingual",
"task_ids:named-entity-recognition"
] | https://huggingface.co/datasets/surdan/nerel_short/resolve/main/README.md | ---
language: ru
multilinguality: monolingual
task_ids:
- named-entity-recognition
---
### About DataSet
The dataset based on NEREL corpus.
For more information about original data, please visit this [source](https://github.com/dialogue-evaluation/RuNNE)
Example of preparing original data illustrated in <Prepare_or... |
enimai | null | null | null | false | 1 | false | enimai/MuST-C-de | 2022-04-11T08:25:26.000Z | null | false | 527ab728c4a1ffca313d6423f9d837577f477a95 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/enimai/MuST-C-de/resolve/main/README.md | ---
license: afl-3.0
---
|
huggingface | null | null | null | false | 1,306 | false | huggingface/semantic-segmentation-test-sample | 2022-04-11T09:15:24.000Z | null | false | 820e1da2eaf57add263d470621bc2a3f43a021e7 | [] | [] | https://huggingface.co/datasets/huggingface/semantic-segmentation-test-sample/resolve/main/README.md | This dataset contains 10 examples of the [segments/sidewalk-semantic](https://huggingface.co/datasets/segments/sidewalk-semantic) dataset (i.e. 10 images with corresponding ground-truth segmentation maps). |
westphal-jan | null | null | null | false | 1 | false | westphal-jan/mnli_matched | 2022-04-16T12:02:51.000Z | null | false | 02f598f31161ab47a167d725b0de3dc3c0efdde8 | [] | [
"source_datasets:multi_nli",
"task_categories:text-classification",
"task_ids:text-scoring",
"task_ids:semantic-similarity-scoring"
] | https://huggingface.co/datasets/westphal-jan/mnli_matched/resolve/main/README.md | ---
source_datasets:
- multi_nli
task_categories:
- text-classification
task_ids:
- text-scoring
- semantic-similarity-scoring
---
## Dataset Description
This dataset provides easier accessibility to the original [MNLI dataset](https://huggingface.co/datasets/multi_nli).
We randomly choose 10% of the original `valid... |
csebuetnlp | null | @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},
... | SQuAD-bn is derived from the SQuAD-2.0 and TyDI-QA datasets. | false | 30 | false | csebuetnlp/squad_bn | 2022-08-21T13:17:43.000Z | null | false | 3b2935a74731f120004bdcbc3f9fd73f7d854c96 | [] | [
"arxiv:2101.00204",
"arxiv:2007.01852",
"arxiv:1606.05250",
"arxiv:2003.05002",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended",
"task_categories:question-answering",
"task_ids:open-domain... | https://huggingface.co/datasets/csebuetnlp/squad_bn/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- found
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- question-answering
task_ids:
- open-domain-qa
- extractive-qa
language:
- bn
license:
- cc-by-nc-sa-4.0
---
# Dataset Card for `squad_bn`
... |
openclimatefix | null | null | null | false | 1 | false | openclimatefix/prepared-batches | 2022-04-13T11:31:18.000Z | null | false | 68b251a36a30a7a5e636ce0f55dcebb43bcd576f | [] | [
"license:mit"
] | https://huggingface.co/datasets/openclimatefix/prepared-batches/resolve/main/README.md | ---
license: mit
---
|
AntoineLB | null | null | null | false | 1 | false | AntoineLB/Frozen-lake-dataset | 2022-04-21T12:16:39.000Z | null | false | 2cf230d6428c8e3cb35710b9aa18858cc33084bc | [] | [] | https://huggingface.co/datasets/AntoineLB/Frozen-lake-dataset/resolve/main/README.md | # Dataset Card for [FrozenLake-v1] |
irenelizihui | null | null | null | false | 1 | false | irenelizihui/Surfer100 | 2022-04-11T23:06:56.000Z | null | false | 5aade2e78656abb0c321488d6d21b331f7cdd665 | [] | [
"license:wtfpl"
] | https://huggingface.co/datasets/irenelizihui/Surfer100/resolve/main/README.md | ---
license: wtfpl
---
|
raquiba | null | null | null | false | 41 | false | raquiba/Sarcasm_News_Headline | 2022-04-14T08:19:08.000Z | null | false | 643ceefc17441e56cff66f57c03b13615545d42b | [] | [] | https://huggingface.co/datasets/raquiba/Sarcasm_News_Headline/resolve/main/README.md | Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets and detecting sarcasm in these requires the availability of contextual tweets.
To overcome th... |
taln-ls2n | null | @inproceedings{hulth2003improved,
title={Improved automatic keyword extraction given more linguistic knowledge},
author={Hulth, Anette},
booktitle={Proceedings of the 2003 conference on Empirical methods in natural language processing},
pages={216--223},
year={2003}
} | Inspec benchmark dataset for keyphrase extraction an generation. | false | 114 | false | taln-ls2n/inspec | 2022-07-21T14:14:59.000Z | null | false | dd723264101153ba5ddf3451e65446346000f496 | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"task_categories:text-generation",
"task_ids:keyphrase-generation",
"task_ids:keyphrase-extraction",
"size_categories:1K<n<10K"
] | https://huggingface.co/datasets/taln-ls2n/inspec/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- unknown
multilinguality:
- monolingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- 1K<n<10K
pretty_name: Inspec
---
# Inspec Benchmark Dataset for K... |
yarongef | null | null | null | false | 1 | false | yarongef/human_proteome_singlets | 2022-09-21T08:45:02.000Z | null | false | 29b145026c2ec661f3ad581e42f73c68be4f4a13 | [] | [
"license:mit"
] | https://huggingface.co/datasets/yarongef/human_proteome_singlets/resolve/main/README.md | ---
license: mit
---
# Dataset Description
Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python paca... |
Matthijs | null | @article{OpenImages2,
title={OpenImages: A public dataset for large-scale multi-label and multi-class image classification.},
author={Krasin, Ivan and Duerig, Tom and Alldrin, Neil and Ferrari, Vittorio and Abu-El-Haija, Sami and Kuznetsova, Alina and Rom, Hassan and Uijlings, Jasper and Popov, Stefan and Kamali, S... | null | false | 25 | false | Matthijs/snacks | 2022-04-12T14:26:59.000Z | null | false | 68b2211a56c1f2a2276d10c2d0f31a416ed9a2c9 | [] | [
"task_categories:image-classification",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/Matthijs/snacks/resolve/main/README.md | ---
pretty_name: Snacks
task_categories:
- image-classification
- computer-vision
license: cc-by-4.0
---
# Dataset Card for Snacks
## Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book [Machine Learning by Tutorials](https://www.raywenderlich.com/books/machine-learning-b... |
mwong | null | null | null | false | 7 | false | mwong/fever-evidence-related | 2022-10-25T10:06:51.000Z | fever | false | 14aba009b5fcd97b1a9ee6f3e3b0da0e308cf7cb | [] | [
"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|fever",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/fever-evidence-related/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
paperswithcode_id: fever
pretty_name: fever
size_categories:
- 100K<n<1M
source_datasets:
- extended|fever
task_categories:
- text-classification
task_ids:
- fact-ch... |
yuanjie | null | null | null | false | 1 | false | yuanjie/demo | 2022-04-12T10:00:12.000Z | null | false | 0f4beb45dfe3526ba6e132375982ca27cee6eb47 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/yuanjie/demo/resolve/main/README.md | ---
license: apache-2.0
---
|
null | null | @misc{cobbe2021training,
title={Training Verifiers to Solve Math Word Problems},
author={Karl Cobbe and Vineet Kosaraju and Mohammad Bavarian and Jacob Hilton and Reiichiro Nakano and Christopher Hesse and John Schulman},
year={2021},
eprint={2110.14168},
archivePrefix={arXiv},
prima... | GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality
linguistically diverse grade school math word problems. The
dataset was created to support the task of question answering
on basic mathematical problems that require multi-step reasoning. | false | 4,112 | false | gsm8k | 2022-11-03T16:32:15.000Z | gsm8k | false | 4da2377df2207498acb46e737c056a62610919b9 | [] | [
"arxiv:2110.14168",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text2text-generation",
"tags:math-word-problems"
] | https://huggingface.co/datasets/gsm8k/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
paperswithcode_id: gsm8k
pretty_name: Grade School Math 8K
tags:
- math-wor... |
HFFErica | null | null | null | false | 1 | false | HFFErica/steamreviews | 2022-05-20T14:53:06.000Z | null | false | e66185fa35291e39de1704837a5b14dcba1388ee | [] | [
"license:other"
] | https://huggingface.co/datasets/HFFErica/steamreviews/resolve/main/README.md | ---
license: other
---
|
null | null | @inproceedings{NIPS2011_5dd9db5e,
author = {Ordonez, Vicente and Kulkarni, Girish and Berg, Tamara},
booktitle = {Advances in Neural Information Processing Systems},
editor = {J. Shawe-Taylor and R. Zemel and P. Bartlett and F. Pereira and K.Q. Weinberger},
pages = {},
publisher = {Curran Associates, Inc.},
title... | The SBU Captioned Photo Dataset is a collection of over 1 million images with associated text descriptions extracted from Flicker. | false | 58 | false | sbu_captions | 2022-11-03T15:51:00.000Z | sbu-captions-dataset | false | b485c0c12063b56119459da5e071aa5545c72a1e | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"task_categories:image-to-text",
"task_ids:image-captioning"
] | https://huggingface.co/datasets/sbu_captions/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- image-to-text
task_ids:
- image-captioning
paperswithcode_id: sbu-captions-dataset
pretty_name: SBU Captioned Photo Dat... |
yarongef | null | null | null | false | 1 | false | yarongef/human_proteome_doublets | 2022-09-21T08:43:43.000Z | null | false | 4e2d0dd3b956ed9e3c623e087a9e800afee79572 | [] | [
"license:mit"
] | https://huggingface.co/datasets/yarongef/human_proteome_doublets/resolve/main/README.md | ---
license: mit
---
# Dataset Description
Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python pacak... |
yarongef | null | null | null | false | 1 | false | yarongef/human_proteome_triplets | 2022-09-21T08:44:27.000Z | null | false | 7a048b602b00c84360b440c8f13b198b67c14ae4 | [] | [
"license:mit"
] | https://huggingface.co/datasets/yarongef/human_proteome_triplets/resolve/main/README.md | ---
license: mit
---
# Dataset Description
Out of **20,577** human proteins (from [UniProt human proteome](https://www.uniprot.org/proteomes/UP000005640)), sequences shorter than 20 amino acids or longer than 512 amino acids were removed, resulting in a set of **12,703** proteins. The uShuffle algorithm ([python pacak... |
mwong | null | null | null | false | 1 | false | mwong/climate-evidence-related | 2022-10-25T10:06:54.000Z | climate-fever | false | 4a4b251e2258a5d44e0b258c1ea7b026d4e7147e | [] | [
"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_fever",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climate-evidence-related/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
paperswithcode_id: climate-fever
pretty_name: climate-fever
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_fever
task_categories:
- text-classifica... |
Pavithree | null | null | null | false | 1 | false | Pavithree/eli5 | 2022-04-23T08:38:44.000Z | null | false | 15e4d1933a321088880215257aa25b621a091335 | [] | [] | https://huggingface.co/datasets/Pavithree/eli5/resolve/main/README.md | This dataset is the subset of original eli5 dataset available on hugging face |
enimai | null | null | null | false | 1 | false | enimai/MuST-C-and-WMT16-de-en | 2022-04-12T20:03:25.000Z | null | false | 785573d6c226c7c07a7dc67f3e8739c25dad3927 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/enimai/MuST-C-and-WMT16-de-en/resolve/main/README.md | ---
license: afl-3.0
---
|
Matthijs | null | null | null | false | 13 | false | Matthijs/snacks-detection | 2022-04-12T14:26:04.000Z | null | false | ca047290468c7f565f248c16139d2a096230112b | [] | [
"task_categories:object-detection",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/Matthijs/snacks-detection/resolve/main/README.md | ---
pretty_name: Snacks (Detection)
task_categories:
- object-detection
- computer-vision
license: cc-by-4.0
---
# Dataset Card for Snacks (Detection)
## Dataset Summary
This is a dataset of 20 different types of snack foods that accompanies the book [Machine Learning by Tutorials](https://www.raywenderlich.com/book... |
arakesh | null | null | null | false | 1 | false | arakesh/PennFudanPedestrian-1024x512 | 2022-04-12T16:14:33.000Z | null | false | d3d4c6fc780dc8d0de62aeef28a38ba2fbed3606 | [] | [] | https://huggingface.co/datasets/arakesh/PennFudanPedestrian-1024x512/resolve/main/README.md | | images | semantic maps | instance ids |
| --- | --- | --- |
| available | available | available |
```
dataset-size: 107Mb
resolution: 1024x1024
license: ...
sample-size:
./pix2pixHD_person_synthesis
├── test_img [10 entries]
├── test_inst [10 entries]
├── test_label [10 entries]
├── train_img ... |
arakesh | null | null | null | false | 1 | false | arakesh/deepglobe-2448x2448 | 2022-04-12T17:20:26.000Z | null | false | b46b232f33c35877e75081f948a89357ea4f1016 | [] | [] | https://huggingface.co/datasets/arakesh/deepglobe-2448x2448/resolve/main/README.md | Data source: http://deepglobe.org/
| images | semantic maps | instance ids |
| --- | --- | --- |
| available | available | n/a |
```
dataset-size: 2.0G
resolution: 2448x2448
license: ...
sample-size:
./pix2pixHD-deepglobe-synthesis
├── test_img [30 entries]
├── test_label [30 entries]
├── train_img ... |
csteinmetz1 | null | null | null | false | 1 | false | csteinmetz1/test-dataset | 2022-04-12T16:47:54.000Z | null | false | 22c6b6002b2100e073b4146f20c22fa534d6e536 | [] | [
"license:cc"
] | https://huggingface.co/datasets/csteinmetz1/test-dataset/resolve/main/README.md | ---
license: cc
---
|
arakesh | null | null | null | false | 1 | false | arakesh/uavid-15-hq-mixedres | 2022-04-12T17:19:47.000Z | null | false | bdf451283a48e53f34fea37a8ad1c475175308cf | [] | [] | https://huggingface.co/datasets/arakesh/uavid-15-hq-mixedres/resolve/main/README.md | Data source: https://uavid.nl/
| images | semantic maps | instance ids |
| --- | --- | --- |
| available | available | n/a |
```
dataset-size: 6.1G
resolution: mixed (3840x2160, 4096x2060) - because drone cameras are different for different faces.
license: ...
sample-size:
+ train: 200
+ test: 70
``` |
openenvironments | null | null | null | false | 1 | false | openenvironments/blockgroupvoting | 2022-04-12T21:19:08.000Z | null | false | e5981976381334c87f5917b4743d749726a9e21b | [] | [
"license:mit"
] | https://huggingface.co/datasets/openenvironments/blockgroupvoting/resolve/main/README.md | ---
license: mit
---
## Problem and Opportunity
In the United States, voting is largely a private matter. A registered voter is given a randomized ballot form or machine to prevent linkage between their voting choices and their identity. This disconnect supports confidence in the election process, but it provides obsta... |
ghomasHudson | null | null | null | false | 1 | false | ghomasHudson/hotpotExtendedAno | 2022-04-13T11:01:17.000Z | null | false | 37d117aedb1c469ebf2adc217dae40ff31a97a23 | [] | [] | https://huggingface.co/datasets/ghomasHudson/hotpotExtendedAno/resolve/main/README.md | # hotpotQA-Extended (Annotated)
A version of [HotpotQA-Extended](https://huggingface.co/datasets/ghomasHudson/hotpotExtended) with extra annotations about what part of the input contains the answer. |
huggan | null | null | null | false | 1,706 | false | huggan/smithsonian_butterflies_subset | 2022-04-16T08:02:36.000Z | null | false | 3cdedf844922ab40393d46d4c7f81c596e1c6d45 | [] | [] | https://huggingface.co/datasets/huggan/smithsonian_butterflies_subset/resolve/main/README.md | This a subset of "ceyda/smithsonian_butterflies" dataset with additional processing done to train the "ceyda/butterfly_gan" model.
The preprocessing includes:
- Adding "sim_score" to images with CLIP model using "pretty butterfly","one butterfly","butterfly with open wings","colorful butterfly"
- Removing butterflies... |
SetFit | null | null | null | false | 13 | false | SetFit/amazon_reviews_multi_en | 2022-04-13T19:06:11.000Z | null | false | ec73b665e4be0f567b69d39425355401cfe0d29b | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/SetFit/amazon_reviews_multi_en/resolve/main/README.md | ---
license: apache-2.0
---
|
enimai | null | null | null | false | 1 | false | enimai/MuST-C-it | 2022-04-14T04:57:08.000Z | null | false | 77b43264a1186dfd3ffdc2bd4018b41f0a6bb689 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/enimai/MuST-C-it/resolve/main/README.md | ---
license: afl-3.0
---
|
bullmount | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 15 | false | bullmount/squad_it | 2022-04-14T16:06:54.000Z | null | false | 161fc9fce16d7e942e0ed14046c1e98956437061 | [] | [] | https://huggingface.co/datasets/bullmount/squad_it/resolve/main/README.md | [Needs More Information]
# Dataset Card for squad_it
## 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-inst... |
Aanisha | null | null | null | false | 1 | false | Aanisha/NeonGAN_dataset | 2022-04-14T07:57:23.000Z | null | false | d40a6b60af1f6d7f320307c3362e8122e8b72006 | [] | [
"license:mit"
] | https://huggingface.co/datasets/Aanisha/NeonGAN_dataset/resolve/main/README.md | ---
license: mit
---
|
taln-ls2n | null | @InProceedings{meng-EtAl:2017:Long,
author = {Meng, Rui and Zhao, Sanqiang and Han, Shuguang and He, Daqing and Brusilovsky, Peter and Chi, Yu},
title = {Deep Keyphrase Generation},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Lon... | KP20k dataset for keyphrase extraction and generation in scientific paper. | false | 12 | false | taln-ls2n/kp20k | 2022-07-21T14:14:37.000Z | null | false | b02a20bfc2e25f0d900035f0fc4397063a4897c7 | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"task_categories:text-generation",
"task_ids:keyphrase-generation",
"task_ids:keyphrase-extraction",
"size_categories:100K<n<1M"
] | https://huggingface.co/datasets/taln-ls2n/kp20k/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- unknown
multilinguality:
- monolingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- 100K<n<1M
pretty_name: KP20k
---
# KP20k Benchmark Dataset for Ke... |
patriziobellan | null | @article{DBLP:journals/corr/abs-2203-04860,
author = {Patrizio Bellan and
Han van der Aa and
Mauro Dragoni and
Chiara Ghidini and
Simone Paolo Ponzetto},
title = {{PET:} {A} new Dataset for Process Extraction from Natural Language
Tex... | Abstract. Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the fir... | false | 1,323 | false | patriziobellan/PET | 2022-07-27T11:27:19.000Z | null | false | 3f1bc3ba42dd83211c520c02bf43d2c2cf5236a0 | [] | [
"arxiv:2203.04860",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:Friedrich et al. original dataset",
"task_categories:token-classification",
"task_ids:token c... | https://huggingface.co/datasets/patriziobellan/PET/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: PET
size_categories:
- 1K<n<10K
source_datasets:
[Friedrich et al. original dataset]
task_categories:
- token-classification
task_ids:
- token classification
- ... |
huggingnft | null | null | null | false | 1 | false | huggingnft/hapeprime | 2022-04-16T17:59:08.000Z | null | false | c4a3428883440ffabcba3afe9ed7ee94ffd13abb | [] | [
"tags:huggingnft",
"tags:nft",
"tags:huggan",
"tags:gan",
"tags:image",
"tags:images",
"task:unconditional-image-generation",
"datasets:huggingnft/hapeprime",
"license:mit"
] | https://huggingface.co/datasets/huggingnft/hapeprime/resolve/main/README.md | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/hapeprime
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of ... |
ajanco | null | null | null | false | 1 | false | ajanco/pesp | 2022-07-01T16:18:15.000Z | null | false | 61faf004bd4a26daa27ec3127bc55e5c60829cbe | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"language:ru",
"license:afl-3.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:other"
] | https://huggingface.co/datasets/ajanco/pesp/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- machine-generated
language:
- ru
license:
- afl-3.0
multilinguality:
- monolingual
pretty_name: 'The Pages of Early Soviet Performance (PESP) uses machine learning to
generate multiple datasets of early-Soviet illustrated periodicals... |
null | null | @inproceedings{sharma2018conceptual,
title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning},
author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu},
booktitle = {Proceedings of ACL},
year = {2018},
} | Google's Conceptual Captions dataset has more than 3 million images, paired with natural-language captions.
In contrast with the curated style of the MS-COCO images, Conceptual Captions images and their raw descriptions are harvested from the web,
and therefore represent a wider variety of styles. The raw descriptions ... | false | 589 | false | conceptual_captions | 2022-11-03T16:32:04.000Z | conceptual-captions | false | e1a96a49d0b314b3a9f4d71672d4dac97d6e146a | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"task_categories:image-to-text",
"task_ids:image-captioning"
] | https://huggingface.co/datasets/conceptual_captions/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- image-to-text
task_ids:
- image-captioning
paperswithcode_id: conceptual-captions
pretty_name: Conceptual Captions
datase... |
huggingnft | null | null | null | false | 1 | false | huggingnft/cryptoskulls | 2022-04-16T17:59:08.000Z | null | false | 9c3742c2e077f17b9e6544910cfc4e23ae81db9d | [] | [
"tags:huggingnft",
"tags:nft",
"tags:huggan",
"tags:gan",
"tags:image",
"tags:images",
"task:unconditional-image-generation",
"datasets:huggingnft/cryptoskulls",
"license:mit"
] | https://huggingface.co/datasets/huggingnft/cryptoskulls/resolve/main/README.md | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/cryptoskulls
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table ... |
jason9693 | null | null | null | false | 74 | false | jason9693/APEACH | 2022-07-05T04:18:07.000Z | apeach | false | e57e10cf1f793a854486c7dc040ac18d59595199 | [] | [
"arxiv:2202.12459",
"annotations_creators:crowdsourced",
"annotations_creators:crowd-generated",
"language_creators:found",
"language:ko",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:text-classification",
"task_i... | https://huggingface.co/datasets/jason9693/APEACH/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- crowd-generated
language_creators:
- found
language:
- ko
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: apeach
pretty_name: 'APEACH'
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- binary-cl... |
hysts | null | null | null | false | 1 | false | hysts/TADNE-sample-images | 2022-04-15T21:03:31.000Z | null | false | 37b01c5d75149551addd3ff5efc88725c78ac944 | [] | [] | https://huggingface.co/datasets/hysts/TADNE-sample-images/resolve/main/README.md | # TADNE sample images
Images generated by the [TADNE model](https://huggingface.co/hysts/TADNE).
## Note
- `prediction_results/anime-face-detector`
- https://github.com/hysts/anime-face-detector
- YOLOv3 + HRNetV2
- `prediction_results/deepdanbooru`
- https://github.com/KichangKim/DeepDanbooru
- `mod... |
jason9693 | null | null | null | false | 1 | false | jason9693/autotrain-data-kor_hate_eval | 2022-04-14T15:44:07.000Z | null | false | 716a41b2ec2e921f24b9b1df564a07f8643989a4 | [] | [
"task_categories:text-classification"
] | https://huggingface.co/datasets/jason9693/autotrain-data-kor_hate_eval/resolve/main/README.md | ---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: kor_hate_eval
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project kor_hate_eval.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sa... |
huggingnft | null | null | null | false | 1 | false | huggingnft/azuki | 2022-04-16T17:59:08.000Z | null | false | ab7ad9330ec63b9652e8f091c76dfe4c549ba606 | [] | [
"tags:huggingnft",
"tags:nft",
"tags:huggan",
"tags:gan",
"tags:image",
"tags:images",
"task:unconditional-image-generation",
"datasets:huggingnft/azuki",
"license:mit"
] | https://huggingface.co/datasets/huggingnft/azuki/resolve/main/README.md | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/azuki
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Cont... |
huggingnft | null | null | null | false | 1 | false | huggingnft/mutant-ape-yacht-club | 2022-04-16T17:59:08.000Z | null | false | 8495090e5604bf7070abe230cb59090e24ab25ae | [] | [
"tags:huggingnft",
"tags:nft",
"tags:huggan",
"tags:gan",
"tags:image",
"tags:images",
"task:unconditional-image-generation",
"datasets:huggingnft/mutant-ape-yacht-club",
"license:mit"
] | https://huggingface.co/datasets/huggingnft/mutant-ape-yacht-club/resolve/main/README.md | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/mutant-ape-yacht-club
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
... |
XiangPan | null | null | null | false | 1 | false | XiangPan/waimai_10k | 2022-04-14T22:38:31.000Z | null | false | dbb125403842b8924d864f09f1c0eb357bd57435 | [] | [] | https://huggingface.co/datasets/XiangPan/waimai_10k/resolve/main/README.md | # Dataset Card for [Dataset Name]
## 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-str... |
XiangPan | null | null | null | false | 1 | false | XiangPan/ChnSentiCorp_htl_8k | 2022-04-14T22:46:21.000Z | null | false | b51fb34fb5ec42c55374863c3cbbf30f2c0f6f55 | [] | [
"license:other"
] | https://huggingface.co/datasets/XiangPan/ChnSentiCorp_htl_8k/resolve/main/README.md | ---
license: other
---
|
bullmount | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 1 | false | bullmount/squad-it-exp | 2022-04-17T18:30:50.000Z | null | false | 966a1e77847f3e22de5fb961665331767082d571 | [] | [] | https://huggingface.co/datasets/bullmount/squad-it-exp/resolve/main/README.md | [Needs More Information]
# Dataset Card for squad_it_exp
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Additional Information](#additional-information)
- [Citation Information](#citation-information)
## Dataset Description
... |
mwong | null | null | null | false | 23 | false | mwong/fever-claim-related | 2022-10-25T10:06:56.000Z | fever | false | 4942ad98569e62b710c547f39f916724088ef520 | [] | [
"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_fever",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/fever-claim-related/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
paperswithcode_id: fever
pretty_name: fever
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_fever
task_categories:
- text-classification
task_ids:
-... |
mwong | null | null | null | false | 3 | false | mwong/climate-claim-related | 2022-10-25T10:06:59.000Z | climate-fever | false | 4c366c1882d27123f4aa640b824a29998f1c642d | [] | [
"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_fever",
"task_categories:text-classification",
"task_ids:fact-checking"
] | https://huggingface.co/datasets/mwong/climate-claim-related/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
paperswithcode_id: climate-fever
pretty_name: climate-fever
size_categories:
- 100K<n<1M
source_datasets:
- extended|climate_fever
task_categories:
- text-classifica... |
rocca | null | null | null | false | 1 | false | rocca/clip-keyphrase-embeddings | 2022-04-15T08:44:51.000Z | null | false | 3d6d4da7cc2b491448d172eebf397560fdded10a | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/rocca/clip-keyphrase-embeddings/resolve/main/README.md | ---
license: apache-2.0
---
The reddit_keywords.tsv file contains about 170k single word embeddings (scraped from reddit, filtering from an initial set of ~700k based on a minimum occurrence threshold) in this format:
```tsv
temporary -0.276235,-0.181357,-0.325729,0.129826,0.016490,-0.230246,-0.039997,-0.990187,-0.014... |
Peihao | null | null | null | false | 1 | false | Peihao/test-dateset | 2022-10-25T10:08:29.000Z | c4 | false | cac1d6c26bc0c5266661019473ac0ffb33bcf9bc | [] | [
"arxiv:1910.10683",
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:odc-by",
"multilinguality:multilingual",
"size_categories:100M<n<1B",
"source_datasets:original",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeli... | https://huggingface.co/datasets/Peihao/test-dateset/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- odc-by
multilinguality:
- multilingual
size_categories:
- 100M<n<1B
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswithcode_id: c4
pre... |
null | null | @inproceedings{changpinyo2021cc12m,
title = {{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts},
author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu},
booktitle = {CVPR},
year = {2021},
} | Conceptual 12M is a large-scale dataset of 12 million
image-text pairs specifically meant to be used for visionand-language pre-training.
Its data collection pipeline is a relaxed version of the one used in Conceptual Captions 3M. | false | 25 | false | conceptual_12m | 2022-11-03T16:31:22.000Z | cc12m | false | 2fd749bd49b36c4243cda8d800ed74753d442f5a | [] | [
"arxiv:2102.08981",
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"task_categories:image-to-text",
"task_ids:image-captioning"
] | https://huggingface.co/datasets/conceptual_12m/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- image-to-text
task_ids:
- image-captioning
paperswithcode_id: cc12m
pretty_name: Conceptual 12M
dataset_info:
feature... |
yumingh | null | null | null | false | 1 | false | yumingh/course_project | 2022-04-15T16:33:27.000Z | null | false | d9553ef2399b048492e0ea67f5fa73d2bd24e55a | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/yumingh/course_project/resolve/main/README.md | ---
license: afl-3.0
---
|
ajanco | null | null | null | false | 1 | false | ajanco/deep | 2022-04-18T20:41:12.000Z | null | false | 15fe2e2ea5adada9197ba37af304eaecca32fd8b | [] | [
"license:mit"
] | https://huggingface.co/datasets/ajanco/deep/resolve/main/README.md | ---
license: mit
---
|
student | null | null | null | false | 2 | false | student/FFHQ | 2022-04-16T06:24:36.000Z | null | false | 35d54d53495778c09cabd7f86019cac79e578aed | [] | [] | https://huggingface.co/datasets/student/FFHQ/resolve/main/README.md | FFHQ 70000张png图片
链接：https://pan.baidu.com/s/1XDfTKWOhtwAAQQJ0KBU4RQ
提取码：bowj
## Flickr-Faces-HQ Dataset (FFHQ)
![Format PNG](https://img.shields.io/badge/forma... |
huseinzol05 | null | null | null | false | 1 | false | huseinzol05/Malay-TTS-Yasmin | 2022-04-25T06:21:15.000Z | null | false | c31370fdaed32ac5f64fed5ee6d7dd6397f5e47a | [] | [] | https://huggingface.co/datasets/huseinzol05/Malay-TTS-Yasmin/resolve/main/README.md | # Malay-TTS-Yasmin
All notebooks and code related at https://github.com/huseinzol05/malaya-speech/tree/master/data/azure-tts
## Attributes
### Wiki and News
- 24000 sample rate, super clean.
- narrator `ms-MY-YasminNeural`.
- approximate 99.4 hours.
- Texts from Malay Wikipedia and News.
- Sentences between 2 words... |
dl4phys | null | null | null | false | 1 | false | dl4phys/top_tagging | 2022-04-18T07:43:02.000Z | null | false | 61ff60cb76c1fabef90bc8013587f0fb6a4fa142 | [] | [
"arxiv:1902.09914",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/dl4phys/top_tagging/resolve/main/README.md | ---
license: cc-by-4.0
---
# Dataset Card for Top Quark Tagging
## Table of Contents
- [Dataset Card for Top Quark Tagging](#dataset-card-for-top-quark-tagging)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks a... |
dl4phys | null | null | null | false | 1 | false | dl4phys/top_tagging_nsubjettiness | 2022-04-16T16:27:05.000Z | null | false | bb8e41b794e8da834d39efba3c090c9a1d30cbaa | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/dl4phys/top_tagging_nsubjettiness/resolve/main/README.md | ---
license: cc-by-4.0
---
|
dl4phys | null | null | null | false | 1 | false | dl4phys/top_tagging_images | 2022-04-17T10:33:58.000Z | null | false | 69e53d567fb37a42b0756132dee8b7c11cbddc55 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/dl4phys/top_tagging_images/resolve/main/README.md | ---
license: cc-by-4.0
---
|
surrey-nlp | null | This is the dataset repository for PLOD Dataset accepted to be published at LREC 2022.
The dataset can help build sequence labelling models for the task Abbreviation Detection. | false | 6 | false | surrey-nlp/PLOD-filtered | 2022-07-30T12:14:27.000Z | plod-filtered | false | 1248106ce21f11d2a7702ba022a7e64289ae147c | [] | [
"arxiv:2204.12061",
"annotations_creators:Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan",
"language_creators:found",
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:t... | https://huggingface.co/datasets/surrey-nlp/PLOD-filtered/resolve/main/README.md | ---
annotations_creators:
- Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan
language_creators:
- found
language:
- en
license: "cc-by-sa-4.0"
multilinguality:
- monolingual
paperswithcode_id: plod-filtered
pretty_name: 'PLOD: An Abbreviation Detection Dataset'
size_categories:
- 100... | |
surrey-nlp | null | This is the dataset repository for PLOD Dataset accepted to be published at LREC 2022.
The dataset can help build sequence labelling models for the task Abbreviation Detection. | false | 2 | false | surrey-nlp/PLOD-unfiltered | 2022-10-24T17:44:59.000Z | plod-an-abbreviation-detection-dataset-for | false | 1ae1e145148c3744360ede5f91923d56226f1412 | [] | [
"arxiv:2204.12061",
"annotations_creators:Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan",
"language_creators:found",
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:t... | https://huggingface.co/datasets/surrey-nlp/PLOD-unfiltered/resolve/main/README.md | ---
annotations_creators:
- Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: plod-an-abbreviation-detection-dataset-for
pretty_name: 'PLOD: An Abbreviation Detection Da... | |
necm77 | null | null | null | false | 9 | false | necm77/negotiation_data | 2022-04-19T20:50:08.000Z | null | false | 8158095eeaed506a0f8bd650eaf665d1cb30e33d | [] | [] | https://huggingface.co/datasets/necm77/negotiation_data/resolve/main/README.md | |
Paercky | null | null | null | false | 1 | false | Paercky/Tweets | 2022-04-16T21:33:23.000Z | null | false | cc19b6f9f276ad7fc1d5d76870cdc605a2805e8b | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Paercky/Tweets/resolve/main/README.md | ---
license: afl-3.0
---
|
Paercky | null | null | null | false | 2 | false | Paercky/autotrain-data-Tweets | 2022-10-25T10:08:35.000Z | null | false | 1bb2f5816caf50002da4e7bd5ec845fec22eb4cd | [] | [
"language:en",
"task_categories:text-classification"
] | https://huggingface.co/datasets/Paercky/autotrain-data-Tweets/resolve/main/README.md | ---
language:
- en
task_categories:
- text-classification
---
# AutoTrain Dataset for project: Tweets
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Tweets.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sam... |
huseinzol05 | null | null | null | false | 2 | false | huseinzol05/Malay-TTS-Osman | 2022-04-17T05:39:21.000Z | null | false | a4d324be68761bd614dd3be85ccaac497001fabb | [] | [] | https://huggingface.co/datasets/huseinzol05/Malay-TTS-Osman/resolve/main/README.md | # Malay-TTS-Osman
All notebooks and code related at https://github.com/huseinzol05/malaya-speech/tree/master/data/azure-tts
## Attributes
### Wiki and News
- 24000 sample rate, super clean.
- narrator `ms-MY-OsmanNeural`.
- approximate 94.5 hours
- Texts from Malay Wikipedia and News.
- Sentences between 2 words an... |
enimai | null | null | null | false | 2 | false | enimai/MuST-C-ru | 2022-04-17T05:23:38.000Z | null | false | 53997f64314d8360a2b2d23b7445ba47d4c66b9a | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/enimai/MuST-C-ru/resolve/main/README.md | ---
license: afl-3.0
---
|
laion | null | null | null | false | 1 | false | laion/laion5B-watermark-safety-ordered | 2022-05-22T02:38:15.000Z | null | false | 428e9a44c5ce16d4c36bd24548985fe7dbedd6a9 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/laion/laion5B-watermark-safety-ordered/resolve/main/README.md | ---
license: cc-by-4.0
---
https://github.com/rom1504/laion-prepro/blob/main/laion5B/usage_guide/watermark_safety_usage.py |
Divyanshu | null | @misc{https://doi.org/10.48550/arxiv.2204.08776,
doi = {10.48550/ARXIV.2204.08776},
url = {https://arxiv.org/abs/2204.08776},
author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and informa... | IndicXNLI is a translated version of XNLI to 11 Indic Languages. As with XNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels). | false | 1,436 | false | Divyanshu/indicxnli | 2022-10-06T15:26:00.000Z | null | false | 7092c27872e919f31d0496fb8b9c47bd2cba3f6c | [] | [
"arxiv:2204.08776",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:as",
"language:bn",
"language:gu",
"language:hi",
"language:kn",
"language:ml",
"language:mr",
"language:or",
"language:pa",
"language:ta",
"language:te",
"license:cc0-1.0",
"... | https://huggingface.co/datasets/Divyanshu/indicxnli/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc0-1.0
multilinguality:
- multilingual
pretty_name: IndicXNLI
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-classification
t... |
surafelkindu | null | null | null | false | 2 | false | surafelkindu/Amharic_corpus | 2022-04-17T18:19:47.000Z | null | false | 539315f30d0cfd1aa5765a65a4dcd6d93d168d20 | [] | [
"license:mit"
] | https://huggingface.co/datasets/surafelkindu/Amharic_corpus/resolve/main/README.md | ---
license: mit
---
ዛጎል ዜና- መንግስት አምስት ሺህ የሚጠጉ እስረኞችን “ተመራቂዎች” በሚል መፍታቱን ይፋ ባደረገበት ቀን በተመሳሳይ አምቦ ተማሪዎች ተቃውሞ ማሰማታቸው ተሰማ። ተማሪዎቹ የአስቸኳይ አዋጁን በመጣስ ” መረራ ይፈታ” እያሉ ተቃውሞ መጀመራቸው ነው የተሰማው። ከትምህርት ቤት ወደ ትምህርት ቤት የሰፋው ተቃውሞ ብህይወት ላይ አደጋ ባያስከትልም በንብረት ላይ ግን ጉዳት አድርሷል። መኪና ሲቃጠል ያዩ የአይን ምስክሮች ተቃውሞውን በጀመሩት ላይም ሆነ ዘግይተው በተቀላቀሉት ላይ እንደ... |
KevinZ | null | @article{talmor2020olmpics,
title={oLMpics-on what language model pre-training captures},
author={Talmor, Alon and Elazar, Yanai and Goldberg, Yoav and Berant, Jonathan},
journal={Transactions of the Association for Computational Linguistics},
volume={8},
pages={743--758},
year={2020},
publisher={MIT Pres... | This is a set a eight datasets from the paper "oLMpics - On what Language Model Pre-training Captures"
by Alon Talmor et al. | false | 2 | false | KevinZ/oLMpics | 2022-04-19T18:08:06.000Z | null | false | 7cffe68258589932209921818b9f9e56324850e3 | [] | [] | https://huggingface.co/datasets/KevinZ/oLMpics/resolve/main/README.md | oLMpics README
|
student | null | null | null | false | 2 | false | student/birds_400 | 2022-04-18T03:15:55.000Z | null | false | 976943672aec93d411e31de606fc103e4aa6073b | [] | [] | https://huggingface.co/datasets/student/birds_400/resolve/main/README.md | 鸟类400.物种图像分类
58388训练集，2000测试测试集，2000验证图像224X224X3 jpg格式
400种鸟类的数据集。58388张训练图像、2000张测试图像（每种5张图像）和2000张验证图像（每种5张图像）。这是一个非常高质量的数据集，每张图像中只有一只鸟，鸟通常占据图像中至少50%的像素。因此，即使是一个中等复杂的模型也能在90%的范围内实现训练和测试精度。
所有图像均为jpg格式的224 X 224 X 3彩色图像。数据集包括列车集、测试集和验证集。每套包含400个子目录，每种鸟类一个。如果使用Keras ImageDataGenerator，则数据结构非常方便。flowfromdirectory创建列车... |
student | null | null | null | false | 2 | false | student/CUB_birds_200_2011 | 2022-04-18T03:21:03.000Z | null | false | 254dd05ce1dd064b434436fb491836b3b489fd9b | [] | [] | https://huggingface.co/datasets/student/CUB_birds_200_2011/resolve/main/README.md | CUB200-2011数据集介绍：
该数据集由加州理工学院再2010年提出的细粒度数据集，也是目前细粒度分类识别研究的基准图像数据集。
该数据集共有11788张鸟类图像，包含200类鸟类子类，其中训练数据集有5994张图像，测试集有5794张图像，每张图像均提供了图像类标记信息，图像中鸟的bounding box，鸟的关键part信息，以及鸟类的属性信息，数据集如下图所示。
下载的数据集中，包含了如下文件：
bounding_boxes.txt；classes.txt；image_class_labels.txt； images.txt； train_test_split.txt.
其中，... |
stepp1 | null | null | null | false | 10 | false | stepp1/tweet_emotion_intensity | 2022-04-18T20:49:56.000Z | null | false | 13e24921a5d4e04d6ab4bf21fada26c530e3db1f | [] | [] | https://huggingface.co/datasets/stepp1/tweet_emotion_intensity/resolve/main/README.md | # Tweet Emotion Intensity Dataset
## Papers:
* Emotion Intensities in Tweets. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada.
* WASSA-2017 Shared Task on Emotion Intensity. Saif M. Mohammad and Fe... |
SocialGrep | null | null | Data from the humour subreddits /r/meirl and /r/me_irl, up to Apr 1 2022 | false | 2 | false | SocialGrep/the-reddit-irl-dataset | 2022-07-01T17:52:22.000Z | null | false | e078606bba4ff4735ffac758f8fb5e9d9045e4ba | [] | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original"
] | https://huggingface.co/datasets/SocialGrep/the-reddit-irl-dataset/resolve/main/README.md | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for the-reddit-irl-dataset
## Table of Contents
- [Dataset Description](#dataset-d... |
Lexi | null | null | null | false | 2 | false | Lexi/spanextract | 2022-10-25T10:08:42.000Z | squad | false | 4544b33bcc8077384d02b422f91b5723b890f53c | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|wikipedia",
"task_categories:question-answering",
"task_ids:extractive-qa"
] | https://huggingface.co/datasets/Lexi/spanextract/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: squad
pretty_name: ... |
wanyu | null | null | null | false | 2 | false | wanyu/IteraTeR_v2 | 2022-10-24T18:58:08.000Z | null | false | f549503ef55b76632d02538edb6987ea9f96f82c | [] | [
"arxiv:2204.03685",
"annotations_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:text2text-generation",
"language_bcp47:en-US",
"tags:conditional-text-generation",
"tags:text-editi... | https://huggingface.co/datasets/wanyu/IteraTeR_v2/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: IteraTeR_v2
language_bcp47:
- en-US
tags:
- conditional-text-generation
- text-editing
---... |
ciroy | null | null | null | false | 2 | false | ciroy/mlcommons-test | 2022-04-18T20:36:47.000Z | null | false | 6572d608a26a8f4fa2715ae788cb52b343e1e64d | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/ciroy/mlcommons-test/resolve/main/README.md | ---
license: cc-by-4.0
---
|
Bingsu | null | null | null | false | 868 | false | Bingsu/Cat_and_Dog | 2022-10-14T02:30:13.000Z | null | false | bdcf6d15638fb3534ed9a84fe8590c26a31cbdd5 | [] | [
"language:en",
"license:cc0-1.0",
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:image-classification"
] | https://huggingface.co/datasets/Bingsu/Cat_and_Dog/resolve/main/README.md | ---
language:
- en
license:
- cc0-1.0
pretty_name: Cat and Dog
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- image-classification
dataset_info:
features:
- name: image
dtype: image
- name: labels
dtype:
class_label:
names:
0: cat
1: dog
spli... |
Bingsu | null | null | null | false | 2 | false | Bingsu/KSS_Dataset | 2022-07-02T00:10:10.000Z | null | false | 48fdfd7ab1dbc1a62e4e8a8b9f4c360259d51d3c | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:ko",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:text-to-speech"
] | https://huggingface.co/datasets/Bingsu/KSS_Dataset/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- ko
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: Korean Single Speaker Speech Dataset
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-to-speech
task_ids: []
---
## D... |
hnchen | null | null | null | false | 2 | false | hnchen/Session-search | 2022-05-07T09:21:10.000Z | null | false | 547fc965adf45751ee1fb0881b0c921e66f250ab | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/hnchen/Session-search/resolve/main/README.md | ---
license: afl-3.0
---
|
samwell | null | null | null | false | 2 | false | samwell/en_twi | 2022-04-19T10:20:26.000Z | null | false | ec3653e28f1d3429a0977a7fcac32f308de33e02 | [] | [
"license:mit"
] | https://huggingface.co/datasets/samwell/en_twi/resolve/main/README.md | ---
license: mit
---
|
google | null | null | null | false | 2,578 | false | google/fleurs | 2022-11-07T18:07:23.000Z | null | false | ab9a4b3b06dd4c34e86e048ad3ad84f7b149af5e | [] | [
"arxiv:2205.12446",
"arxiv:2106.03193",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language:afr",
"language:amh",
"language:ara",
"language:asm",
... | https://huggingface.co/datasets/google/fleurs/resolve/main/README.md | ---
annotations_creators:
- expert-generated
- crowdsourced
- machine-generated
language_creators:
- crowdsourced
- expert-generated
language:
- afr
- amh
- ara
- asm
- ast
- azj
- bel
- ben
- bos
- cat
- ceb
- cmn
- ces
- cym
- dan
- deu
- ell
- eng
- spa
- est
- fas
- ful
- fin
- tgl
- fra
- gle
- glg
- guj
- hau
- h... |
mteb | null | null | null | false | 395 | false | mteb/sprintduplicatequestions-pairclassification | 2022-09-27T19:15:57.000Z | null | false | 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sprintduplicatequestions-pairclassification/resolve/main/README.md | ---
language:
- en
--- |
bigscience-historical-texts | null | null | null | false | 2 | false | bigscience-historical-texts/Open_Medieval_French | 2022-04-22T13:01:01.000Z | null | false | 11843e744cba376f3d2da042cc771c8ed1e890e1 | [] | [] | https://huggingface.co/datasets/bigscience-historical-texts/Open_Medieval_French/resolve/main/README.md | # Open Medieval French
Source: [https://github.com/OpenMedFr/texts](https://github.com/OpenMedFr/texts) |
mteb | null | null | null | false | 327 | false | mteb/askubuntudupquestions-reranking | 2022-09-27T19:11:08.000Z | null | false | 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking/resolve/main/README.md | ---
language:
- en
--- |
taln-ls2n | null | @inproceedings{bougouin-etal-2013-topicrank,
title = "{T}opic{R}ank: Graph-Based Topic Ranking for Keyphrase Extraction",
author = "Bougouin, Adrien and
Boudin, Florian and
Daille, B{\'e}atrice",
booktitle = "Proceedings of the Sixth International Joint Conference on Natural Language Processin... | Wikinews-fr-100 benchmark dataset for keyphrase extraction an generation. | false | 3 | false | taln-ls2n/wikinews-fr-100 | 2022-09-23T07:38:18.000Z | null | false | 40abf43ceb2f64198e063e981f46d58ef07c304d | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:fr",
"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/wikinews-fr-100/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- fr
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: Wikinews-fr-100
---
# Wikinews-fr-100 Benchma... |
mteb | null | null | null | false | 315 | false | mteb/scidocs-reranking | 2022-09-27T19:11:31.000Z | null | false | 56a6d0140cf6356659e2a7c1413286a774468d44 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/scidocs-reranking/resolve/main/README.md | ---
language:
- en
--- |
mteb | null | null | null | false | 306 | false | mteb/stackoverflowdupquestions-reranking | 2022-09-27T19:13:01.000Z | null | false | ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9 | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/stackoverflowdupquestions-reranking/resolve/main/README.md | ---
language:
- en
--- |
JEFFREY-VERDIERE | null | null | null | false | 2 | false | JEFFREY-VERDIERE/train_X_PJT_NLP | 2022-04-19T13:34:19.000Z | null | false | 3d3a799e2c93779d80e316fb5f2991332ef55fe3 | [] | [] | https://huggingface.co/datasets/JEFFREY-VERDIERE/train_X_PJT_NLP/resolve/main/README.md | |
taln-ls2n | null | @inproceedings{boudin-2013-taln,
title = "{TALN} Archives : a digital archive of {F}rench research articles in Natural Language Processing ({TALN} Archives : une archive num{\'e}rique francophone des articles de recherche en Traitement Automatique de la Langue) [in {F}rench]",
author = "Boudin, Florian",
bo... | TALN Archives benchmark dataset for keyphrase extraction an generation. | false | 4 | false | taln-ls2n/taln-archives | 2022-09-23T07:58:07.000Z | null | false | 986fd2f2865cc142a9177e27e11b5585bd0c885a | [] | [
"annotations_creators:unknown",
"language_creators:unknown",
"language:fr",
"language:en",
"license:cc-by-4.0",
"multilinguality:multilingual",
"task_categories:text-generation",
"task_ids:keyphrase-generation",
"task_ids:keyphrase-extraction",
"size_categories:1K<n<10K"
] | https://huggingface.co/datasets/taln-ls2n/taln-archives/resolve/main/README.md | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- fr
- en
license:
- cc-by-4.0
multilinguality:
- multilingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- 1K<n<10K
pretty_name: TALN-Archives
---
# TALN-Archives B... |
mteb | null | null | null | false | 419 | false | mteb/sickr-sts | 2022-09-27T19:13:22.000Z | null | false | 20a6d6f312dd54037fe07a32d58e5e168867909d | [] | [
"language:en"
] | https://huggingface.co/datasets/mteb/sickr-sts/resolve/main/README.md | ---
language:
- en
--- |
mnazari | null | null | null | false | 1 | false | mnazari/urmi-assyrian-voice | 2022-04-20T21:04:42.000Z | null | false | 1311b5392e225619ed0fd951f85437f755d6f2e9 | [] | [
"license:cc0-1.0",
"annotations_creators:Geoffrey Khan",
"annotations_creators:Matthew Nazari",
"language:aii",
"size_category:n<1K",
"task_categories:automatic-speech-recognition"
] | https://huggingface.co/datasets/mnazari/urmi-assyrian-voice/resolve/main/README.md | ---
license: cc0-1.0
pretty_name: Assyrian
annotations_creators:
- Geoffrey Khan
- Matthew Nazari
language: aii
size_category: n<1K
task_categories:
- automatic-speech-recognition
---
# Dataset Card for urmi_assyrian_voice
## Dataset Description
The Urmi Assyrian Voice dataset is parsed from the research and fieldwo... |
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