id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
tner/wnut2017 | 2022-08-06T23:30:30.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:1k<10K",
"language:en",
"license:other",
"region:us"
] | tner | [WNUT 2017 NER dataset](https://aclanthology.org/W17-4418/) | @inproceedings{derczynski-etal-2017-results,
title = "Results of the {WNUT}2017 Shared Task on Novel and Emerging Entity Recognition",
author = "Derczynski, Leon and
Nichols, Eric and
van Erp, Marieke and
Limsopatham, Nut",
booktitle = "Proceedings of the 3rd Workshop on Noisy User-gene... | 0 | 148 | 2022-07-16T11:08:24 | ---
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 1k<10K
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: WNUT 2017
---
# Dataset Card for "tner/wnut2017"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- ... | 3,139 | [
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AIML-TUDA/i2p | 2023-05-25T08:04:07.000Z | [
"license:mit",
"arxiv:2211.05105",
"region:us"
] | AIML-TUDA | null | null | 3 | 148 | 2022-10-19T12:41:55 | ---
license: mit
---
# Inaproppriate Image Prompts (I2P)
The I2P benchmark contains real user prompts for generative text2image prompts that are unproportionately likely to produce <i>inappropriate</i> images.
I2P was introduced in the 2023 CVPR paper [Safe Latent Diffusion: Mitigating Inappropriate Degeneration in D... | 5,050 | [
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ArtifactAI/arxiv-math-instruct-50k | 2023-06-22T03:12:01.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"multilinguality:monolingual",
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"source_datasets:original",
"language:en",
"license:cc0-1.0",
"doi:10.57967/hf/0799",
"region:us"... | ArtifactAI | null | null | 35 | 148 | 2023-06-21T03:26:49 | ---
annotations_creators:
- no-annotation
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: arxiv-math-instruct-50k
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
paperswithcode_id: arxiv-mat... | 4,059 | [
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starmpcc/Asclepius-Synthetic-Clinical-Notes | 2023-09-04T01:27:17.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-nc-sa-4.0",
"medical",
"arxiv:2309.00237",
"region:us"
] | starmpcc | null | null | 15 | 148 | 2023-09-01T01:47:59 | ---
license: cc-by-nc-sa-4.0
task_categories:
- question-answering
- summarization
- text-generation
- conversational
language:
- en
tags:
- medical
pretty_name: 'Asclepius: Synthetic Clincal Notes & Instruction Dataset'
size_categories:
- 100K<n<1M
---
# Asclepius: Synthetic Clincal Notes & Instruction Dataset
## Dat... | 2,528 | [
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keivalya/MedQuad-MedicalQnADataset | 2023-10-11T10:50:41.000Z | [
"task_categories:question-answering",
"task_categories:text2text-generation",
"region:us"
] | keivalya | null | null | 6 | 148 | 2023-10-11T10:38:26 | ---
task_categories:
- question-answering
- text2text-generation
pretty_name: MedQuad-KV
---
### Reference:
- "A Question-Entailment Approach to Question Answering". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019. | 233 | [
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tglcourse/lsun_church_train | 2022-10-19T12:20:45.000Z | [
"region:us"
] | tglcourse | null | null | 0 | 147 | 2022-10-19T12:14:21 | ---
dataset_info:
features:
- name: image
dtype: image
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names:
0: '0'
1: '1'
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maykcaldas/smiles-transformers | 2023-04-04T22:02:47.000Z | [
"size_categories:100M<n<1B",
"language:en",
"license:mit",
"region:us"
] | maykcaldas | null | null | 2 | 147 | 2023-04-04T13:10:48 | ---
license: mit
language:
- en
pretty_name: smiles-transformer-dataset
size_categories:
- 100M<n<1B
dataset_info:
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simlaharma/processed_bert_dataset | 2023-09-13T17:43:40.000Z | [
"region:us"
] | simlaharma | null | null | 0 | 147 | 2023-09-13T17:43:09 | Entry not found | 15 | [
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jinaai/cities_wiki_clustering | 2023-10-27T15:28:11.000Z | [
"language:en",
"region:us"
] | jinaai | null | null | 1 | 147 | 2023-09-20T18:09:08 | ---
language:
- en
---
# WikiCities Clustering Dataset
This dataset was created from the (Wikipedia)[https://huggingface.co/datasets/wikipedia] training dataset by using a list of countries,
retrieving all cities for each country, and then finding their corresponding Wikipedia article in the Wikipedia dataset. Postp... | 697 | [
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cnut1648/ScienceQA-LLAVA | 2023-10-22T00:49:42.000Z | [
"region:us"
] | cnut1648 | null | null | 0 | 147 | 2023-09-24T04:07:31 | ---
dataset_info:
features:
- name: id
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- name: image
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- name: conversations
list:
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- name:... | 1,042 | [
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khalidalt/tydiqa-primary | 2022-07-28T21:56:04.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:extended|wikipedia",
"language:en",
"language:ar",
"language:bn",
"language:fi",
"l... | khalidalt | TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language
expresses -- such that we expect models performing well on this set to generalize a... | @article{tydiqa,
title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
year = {2020},
journal = {Transactions of... | 0 | 146 | 2022-06-16T17:20:46 | ---
pretty_name: TyDi QA
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
- ar
- bn
- fi
- id
- ja
- sw
- ko
- ru
- te
- th
license:
- apache-2.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
ta... | 8,517 | [
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0.016... |
ivelin/ui_refexp_saved | 2023-01-08T03:35:06.000Z | [
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | ivelin | null | null | 6 | 146 | 2023-01-08T03:10:23 | ---
dataset_info:
features:
- name: image
dtype: image
- name: image_id
dtype: string
- name: image_file_path
dtype: string
- name: prompt
dtype: string
- name: target_bounding_box
dtype: string
splits:
- name: train
num_bytes: 1910805137.216
num_examples: 15624
- name: val... | 927 | [
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christinacdl/clickbait_notclickbait_dataset | 2023-06-22T14:42:37.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | christinacdl | null | null | 0 | 146 | 2023-06-22T14:38:07 | ---
license: apache-2.0
task_categories:
- text-classification
language:
- en
size_categories:
- 10K<n<100K
---
0 : not clickbait
1 : clickbait
Dataset cleaned from duplicates and kept only the first appearing text.
Dataset split into train and test sets using 0.2 split ratio.
Dataset split into test and validatio... | 437 | [
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openaccess-ai-collective/oasst1-guanaco-extended-sharegpt | 2023-10-17T17:24:21.000Z | [
"region:us"
] | openaccess-ai-collective | null | null | 0 | 146 | 2023-10-17T17:21:07 | Entry not found | 15 | [
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allegro_reviews | 2022-11-18T17:41:41.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-scoring",
"task_ids:text-scoring",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pl",
"license:cc-by-sa-4.0",
"region:us"
] | null | Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted
from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale
from one (negative review) to five (positive review).
We recommend using the provi... | @inproceedings{rybak-etal-2020-klej,
title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
... | 1 | 145 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- pl
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-scoring
- text-scoring
paperswithcode_id: allegro-reviews
pretty_name:... | 4,786 | [
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grail_qa | 2022-11-18T20:04:54.000Z | [
"task_categories:question-answering",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"knowledge-base-qa",
"arxiv:2011.07743",
"region:us"
] | null | Strongly Generalizable Question Answering (GrailQA) is a new large-scale, high-quality dataset for question answering on knowledge bases (KBQA) on Freebase with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It can be used to test thr... | @misc{gu2020iid,
title={Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases},
author={Yu Gu and Sue Kase and Michelle Vanni and Brian Sadler and Percy Liang and Xifeng Yan and Yu Su},
year={2020},
eprint={2011.07743},
archivePrefix={arXiv},
primaryClass={cs.CL... | 2 | 145 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: null
pretty_name: Grail QA
tags:
- knowledge-base-qa
datase... | 6,386 | [
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mozilla-foundation/common_voice_1_0 | 2023-07-29T15:59:56.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
] | mozilla-foundation | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | 4 | 145 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
license:
- cc0-1.0
multilinguality:
- multilingual
size_categories:
br:
- 1K<n<10K
ca:
- 10K<n<100K
cnh:
- 1K<n<10K
cv:
- 1K<n<10K
cy:
- 10K<n<100K
de:
- 100K<n<1M
en:
- 100K<n<1M
eo:
- 1K<n<10K
et:
- n<1K
f... | 9,237 | [
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openclimatefix/nimrod-uk-1km | 2022-06-08T14:49:03.000Z | [
"region:us"
] | openclimatefix | This dataset contains UK Nimrod rainfall radar data for 2016-2019 as used in the Skillful Precipitation Nowcasting Using Deep Generative Model of Radar paper by DeepMind. | @article{ravuris2021skillful,
author={Suman Ravuri and Karel Lenc and Matthew Willson and Dmitry Kangin and Remi Lam and Piotr Mirowski and Megan Fitzsimons and Maria Athanassiadou and Sheleem Kashem and Sam Madge and Rachel Prudden Amol Mandhane and Aidan Clark and Andrew Brock and Karen Simonyan and Raia Hadsell an... | 7 | 145 | 2022-03-02T23:29:22 | [Needs More Information]
# Dataset Card for UK Nimrod 1km Rainfall Radar Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
-... | 3,648 | [
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keremberke/indoor-scene-classification | 2023-01-16T21:04:18.000Z | [
"task_categories:image-classification",
"roboflow",
"roboflow2huggingface",
"Retail",
"Pest Control",
"Benchmark",
"region:us"
] | keremberke | null | \ | 0 | 145 | 2023-01-16T20:56:17 | ---
task_categories:
- image-classification
tags:
- roboflow
- roboflow2huggingface
- Retail
- Pest Control
- Benchmark
---
<div align="center">
<img width="640" alt="keremberke/indoor-scene-classification" src="https://huggingface.co/datasets/keremberke/indoor-scene-classification/resolve/main/thumbnail.jpg">
</div... | 2,588 | [
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distil-whisper/common_voice_13_0 | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc0-1.0",
"region:us"
] | distil-whisper | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | 1 | 145 | 2023-04-17T16:51:15 | ---
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: Common Voice 13
---
# Distil Whisper: Common Voice 13
This is a variant of the [Common Voice 13](https://huggingface.co/datasets/mozilla_foundation/common_voice_13) dataset, augmented to return the pseudo-labelled Whisp... | 2,071 | [
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shortbread/tickers | 2023-11-02T14:58:21.000Z | [
"size_categories:1K<n<10K",
"language:en",
"finance",
"region:us"
] | shortbread | null | null | 0 | 145 | 2023-07-22T01:11:35 | ---
language:
- en
tags:
- finance
size_categories:
- 1K<n<10K
last_updated:
2023-07-20
---
Tickers
=======
| 112 | [
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mb23/GraySpectrogram | 2023-10-20T07:59:13.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-sa-4.0",
"music",
"spectrogram",
"region:us"
] | mb23 | null | null | 0 | 145 | 2023-10-07T05:47:09 | ---
license: cc-by-sa-4.0
language:
- en
tags:
- music
- spectrogram
size_categories:
- 10K<n<100K
---
# Google/MusicCapsをスペクトログラムにしたデータ。
## Dataset information
<table>
<thead>
<td>画像</td>
<td>caption</td>
<td>data_idx</td>
<td>number</td>
</thead>
<tbody>
<tr>
<td>1025px × 216px</td>
... | 5,953 | [
[
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0.0202789306640625,
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bn_hate_speech | 2023-01-25T14:27:23.000Z | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:bn",
"license:mit",
"hate-speech-topic-classification",
... | null | The Bengali Hate Speech Dataset is a collection of Bengali articles collected from Bengali news articles,
news dump of Bengali TV channels, books, blogs, and social media. Emphasis was placed on Facebook pages and
newspaper sources because they attract close to 50 million followers and is a common source of opinions
an... | @misc{karim2020classification,
title={Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network},
author={Md. Rezaul Karim and Bharathi Raja Chakravarthi and John P. McCrae and Michael Cochez},
year={2020},
eprint={2004.07807},
archiveP... | 1 | 144 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- found
language:
- bn
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
paperswithcode_id: bengali-hate-speech
pretty_name: Bengali Hate... | 7,899 | [
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-0.041839599609375,
-0.06231689453125,
-0.00... |
catalonia_independence | 2023-06-01T14:59:47.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ca",
"language:es",
"license:cc-by-nc-sa-4.0",
"stance-detection",
"region:us"
] | null | This dataset contains two corpora in Spanish and Catalan that consist of annotated Twitter messages for automatic stance detection. The data was collected over 12 days during February and March of 2019 from tweets posted in Barcelona, and during September of 2018 from tweets posted in the town of Terrassa, Catalonia.
... | @inproceedings{zotova-etal-2020-multilingual,
title = "Multilingual Stance Detection in Tweets: The {C}atalonia Independence Corpus",
author = "Zotova, Elena and
Agerri, Rodrigo and
Nunez, Manuel and
Rigau, German",
booktitle = "Proceedings of the 12th Language Resources and Evaluation ... | 1 | 144 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- ca
- es
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
paperswithcode_id: cic
pretty_name: Catalonia Indepen... | 4,531 | [
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-0.06207275390625,
0.008811950... |
GEM/mlsum | 2022-10-24T15:30:21.000Z | [
"task_categories:summarization",
"annotations_creators:none",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:de",
"language:es",
"license:other",
"region:us"
] | GEM | This is the MLSUM subset of the GEM benchmark. MLSUM is the first large-scale MultiLingual SUMmarization dataset.
Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.
Together with English newspapers from the popular C... | @article{scialom2020mlsum,
title={MLSUM: The Multilingual Summarization Corpus},
author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},
journal={arXiv preprint arXiv:2004.14900},
year={2020}
} | 2 | 144 | 2022-03-02T23:29:22 | ---
annotations_creators:
- none
language_creators:
- unknown
language:
- de
- es
license:
- other
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: mlsum
---
# Dataset Card for GEM/mlsum
## Dataset Description
- **Homepage:**... | 20,983 | [
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0.0... |
SocialGrep/one-million-reddit-questions | 2022-07-25T18:57:10.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | null | null | 3 | 144 | 2022-03-02T23:29:22 | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for one-million-reddit-questions
## Table of Contents
- [Dataset Description](#datas... | 3,448 | [
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0.0256... |
bigbio/biomrc | 2022-12-22T15:43:44.000Z | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | bigbio | We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. Care was taken to reduce noise, compared to the
previous BIOREAD dataset of Pappas et al. (2018). Experiments show that simple heuristics do not perform well on the
new dataset and that two neural MRC models that had been tested on BIOREAD perform m... | @inproceedings{pappas-etal-2020-biomrc,
title = "{B}io{MRC}: A Dataset for Biomedical Machine Reading Comprehension",
author = "Pappas, Dimitris and
Stavropoulos, Petros and
Androutsopoulos, Ion and
McDonald, Ryan",
booktitle = "Proceedings of the 19th SIGBioMed Workshop on Biomedical L... | 1 | 144 | 2022-11-13T22:06:42 |
---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BIOMRC
homepage: https://github.com/PetrosStav/BioMRC_code
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- QUESTION_ANSWERING
---
# Dataset Card for BIOMRC
## Dataset... | 1,920 | [
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0.... |
Cofacts/line-msg-fact-check-tw | 2023-10-11T13:06:33.000Z | [
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:zh",
"license:cc-by-sa-4.0",
"fact-checking",
"crowd-sourcing",
"region:us"
] | Cofacts | null | null | 1 | 144 | 2023-05-16T05:09:10 | ---
license: cc-by-sa-4.0
language:
- zh
pretty_name: Cofacts archive for reported messages and crowd-sourced fact-check replies
tags:
- fact-checking
- crowd-sourcing
size_categories:
- 100K<n<1M
extra_gated_prompt: >-
To access this repository, you agree to follow the [Cofacts Data User Agreement](https://github.co... | 18,741 | [
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... |
clarin-knext/scifact-pl | 2023-06-07T10:07:12.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 144 | 2023-06-02T13:55:34 | ---
language:
- pl
pretty_name: BEIR-PL benchmark Scifact-PL
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl
| 244 | [
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... |
baber/hendrycks_math | 2023-08-25T21:15:56.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"arxiv:2103.03874",
"region:us"
] | baber | MATH is a dataset of 12,500 challenging competition mathematics problems. Each
problem in Math has a full step-by-step solution which can be used to teach
models to generate answer derivations and explanations. | @article{hendrycksmath2021,
title={Measuring Mathematical Problem Solving With the Math Dataset},
author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt},
journal={NeurIPS},
year={2021}
} | 0 | 144 | 2023-08-19T14:28:52 | ---
license: mit
task_categories:
- text-generation
language:
- en
pretty_name: MATH
size_categories:
- 10K<n<100K
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** https://github.com/hendrycks/math/blob/main/README.md
- **Repository:** https://github.com/hendrycks/math
- **Paper:** https://... | 1,313 | [
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0... |
selfrag/selfrag_train_data | 2023-10-31T19:37:22.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"arxiv:2310.11511",
"region:us"
] | selfrag | null | null | 10 | 144 | 2023-10-18T19:55:39 | ---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 100K<n<1M
---
This is a training data file for [Self-RAG](https://selfrag.github.io/) that generates outputs to diverse user queries as well as reflection tokens to call the retrieval system adaptively and criticize its own output an... | 1,265 | [
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0.051971435546875,
-0.03778076171875,
-0.0269775390625,
-0.0261688232421... |
dinhbinh161/vietnamese-tts | 2023-11-02T06:34:38.000Z | [
"region:us"
] | dinhbinh161 | null | null | 0 | 144 | 2023-11-02T06:32:40 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
- name: sentence
dtype: string
- name: up_votes
dtyp... | 960 | [
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0.0022563934... |
iohadrubin/mtop | 2022-01-01T20:54:04.000Z | [
"region:us"
] | iohadrubin | 0 | 143 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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-0.06036376953125,
0.0379... | ||
jakeazcona/short-text-multi-labeled-emotion-classification | 2021-12-02T01:08:12.000Z | [
"region:us"
] | jakeazcona | null | null | 0 | 143 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
nielsr/eurosat-demo | 2022-04-04T15:48:08.000Z | [
"region:us"
] | nielsr | null | null | 1 | 143 | 2022-04-04T15:47:48 | Entry not found | 15 | [
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-0.014984130859375,
-0.060394287109375,
0.0379... |
jordanparker6/publaynet | 2022-07-19T04:20:00.000Z | [
"task_categories:image-to-text",
"size_categories:100B<n<1T",
"language:en",
"license:other",
"arxiv:1908.07836",
"region:us"
] | jordanparker6 | null | null | 9 | 143 | 2022-07-17T23:32:26 | ---
title: PubLayNet
license: other
annotations_creators: []
language:
- en
size_categories:
- 100B<n<1T
source_datasets: []
task_categories:
- image-to-text
task_ids: []
---
# PubLayNet
PubLayNet is a large dataset of document images, of which the layout is annotated with both bounding boxes and polygonal segmentati... | 1,476 | [
[
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-0.00168228... |
kmyoo/cnn-dailymail-v1-tiny | 2022-12-02T14:00:12.000Z | [
"region:us"
] | kmyoo | null | null | 0 | 143 | 2022-12-02T13:59:35 | Entry not found | 15 | [
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0.0379... |
keremberke/plane-detection | 2023-01-27T13:46:18.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"region:us"
] | keremberke | null | @misc{ overhead-plane-detector_dataset,
title = { Overhead Plane Detector Dataset },
type = { Open Source Dataset },
author = { SkyBot Cam },
howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
url = { https://universe.roboflow.com/skybot-cam/overhead-plane-... | 2 | 143 | 2023-01-18T09:43:30 | ---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
---
<div align="center">
<img width="640" alt="keremberke/plane-detection" src="https://huggingface.co/datasets/keremberke/plane-detection/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['planes']
```
### Number of Image... | 1,640 | [
[
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0.0016... |
urialon/gov_report_validation | 2023-02-28T15:40:57.000Z | [
"region:us"
] | urialon | null | null | 0 | 143 | 2023-02-28T15:40:48 | Entry not found | 15 | [
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0.037... |
MU-NLPC/Calc-gsm8k | 2023-10-30T15:54:45.000Z | [
"task_categories:text-generation",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"arxiv:2305.15017",
"arxiv:2110.14168",
"region:us"
] | MU-NLPC | null | null | 1 | 143 | 2023-04-16T21:07:44 | ---
language:
- en
license: mit
size_categories:
- 1K<n<10K
task_categories:
- text-generation
- question-answering
dataset_info:
- config_name: default
features:
- name: id
dtype: string
- name: question
dtype: string
- name: chain
dtype: string
- name: result
dtype: string
- name: result_f... | 4,949 | [
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0.... |
roszcz/pianofor-ai-sustain | 2023-07-22T19:53:35.000Z | [
"region:us"
] | roszcz | null | null | 0 | 143 | 2023-04-30T14:46:29 | ---
dataset_info:
features:
- name: notes
struct:
- name: duration
sequence: float64
- name: end
sequence: float64
- name: pitch
sequence: int64
- name: start
sequence: float64
- name: velocity
sequence: int64
- name: midi_filename
dtype: string
- name: ... | 721 | [
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tomaarsen/conll2003 | 2023-05-08T13:34:35.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-reuters-corpus",
"language:en",
"lice... | tomaarsen | The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on
four types of named entities: persons, locations, organizations and names of miscellaneous entities that do
not belong to the previous three groups.
The CoNLL-2003 shared task data files contain four columns se... | @inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
author = "Tjong Kim Sang, Erik F. and
De Meulder, Fien",
booktitle = "Proceedings of the Seventh Conference on Natural Language Learning... | 0 | 143 | 2023-05-08T13:33:26 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-reuters-corpus
task_categories:
- token-classification
task_ids:
- named-entity-recognition
- part-of-speech
paperswithcode_i... | 12,557 | [
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0... |
yuzuai/rakuda-questions | 2023-06-23T08:01:35.000Z | [
"task_categories:conversational",
"task_categories:question-answering",
"size_categories:n<1K",
"source_datasets:original",
"language:ja",
"license:mit",
"region:us"
] | yuzuai | null | null | 3 | 143 | 2023-06-23T01:08:52 | ---
license: mit
language:
- ja
pretty_name: Rakuda - Questions for Japanese Models
task_categories:
- conversational
- question-answering
size_categories:
- n<1K
source_datasets:
- original
---
# Rakuda - Questions for Japanese models
**Repository**: [https://github.com/yuzu-ai/japanese-llm-ranking](https://github.c... | 1,201 | [
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0.018234252929... |
FreedomIntelligence/evol-instruct-deutsch | 2023-08-06T08:12:07.000Z | [
"region:us"
] | FreedomIntelligence | null | null | 4 | 143 | 2023-06-30T03:43:08 | The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT). | 124 | [
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llm-book/aio-retriever | 2023-10-25T15:31:08.000Z | [
"size_categories:10K<n<100K",
"language:ja",
"region:us"
] | llm-book | null | null | 0 | 143 | 2023-07-04T04:53:47 | ---
language:
- ja
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: qid
dtype: string
- name: competition
dtype: string
- name: timestamp
dtype: string
- name: section
dtype: string
- name: number
dtype: string
- name: original_question
dtype: string
- name: original... | 1,827 | [
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0.0... |
ASIDS/alpaca-cleaned-ru | 2023-10-04T14:26:17.000Z | [
"task_categories:text-generation",
"language_creators:translated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:yahma/alpaca-cleaned",
"language:ru",
"license:cc-by-4.0",
"instruction-finetuning",
"region:us"
] | ASIDS | null | null | 0 | 143 | 2023-10-04T09:52:39 |
---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: iteration
dtype: uint32
splits:
- name: train
num_bytes: 74829755.0
num_examples: 51760
download_size: 36596664
dataset_size: 74829755.0
license: cc-by-4.0
language:
- ru
multilinguali... | 947 | [
[
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0.036102294921875,
0.02001953125,
-0.06927490234375,
-0.027374267578125,
-0.04248046875,
-0... |
Fraser/python-state-changes | 2022-10-11T17:04:35.000Z | [
"language:code",
"region:us"
] | Fraser | Python state changes from a single line of code. | null | 6 | 142 | 2022-03-02T23:29:22 | ---
language:
- code
---
# Python State Changes
State changes from the execution of single lines of Python code.
All code was taken from Python HackerRank solutions.
Scraped from my dataset of traced HackerRank solutions. https://www.kaggle.com/frasergreenlee/ran-hackerrank-solutions
```json
{"start": "g = 100; i =... | 790 | [
[
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Tevatron/wikipedia-trivia-corpus | 2021-09-13T23:35:14.000Z | [
"region:us"
] | Tevatron | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov, Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conferenc... | 0 | 142 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03793334... |
strombergnlp/broad_twitter_corpus | 2022-07-01T15:46:36.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | strombergnlp | This is the Broad Twitter corpus, a dataset of tweets collected over stratified times, places and social uses.
The goal is to represent a broad range of activities, giving a dataset more representative of the language used
in this hardest of social media formats to process. Further, the BTC is annotated for named ent... | @inproceedings{derczynski2016broad,
title={Broad twitter corpus: A diverse named entity recognition resource},
author={Derczynski, Leon and Bontcheva, Kalina and Roberts, Ian},
booktitle={Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
pages={1169--... | 4 | 142 | 2022-04-28T09:58:09 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: broad-twitter-corpus
pretty_name... | 5,598 | [
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0.01072... |
laion/laion-art | 2022-05-22T14:55:35.000Z | [
"region:us"
] | laion | null | null | 23 | 142 | 2022-05-22T14:54:28 | Entry not found | 15 | [
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AlexZigma/msr-vtt | 2023-07-13T10:35:08.000Z | [
"region:us"
] | AlexZigma | null | null | 3 | 142 | 2023-07-12T13:47:28 | ---
dataset_info:
features:
- name: video_id
dtype: string
- name: caption
dtype: string
- name: sen_id
dtype: int64
- name: category
dtype: int64
- name: url
dtype: string
- name: start time
dtype: float64
- name: end time
dtype: float64
- name: split
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-... | 734 | [
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... |
neovalle/H4rmony | 2023-10-11T19:15:52.000Z | [
"task_categories:reinforcement-learning",
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"Ecolinguistics",
"Sustainability",
"ecolinguistic",
"environment",
"doi:10.57967/hf/1148",
"region:us"
] | neovalle | null | null | 3 | 142 | 2023-09-02T18:39:29 | ---
license: cc-by-4.0
task_categories:
- reinforcement-learning
- text-classification
- question-answering
language:
- en
tags:
- Ecolinguistics
- Sustainability
- ecolinguistic
- environment
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset H4rmony
### Dataset Summary
The H4rmony dataset is a collection o... | 3,724 | [
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... |
mattymchen/lrs3-test | 2023-09-05T10:37:16.000Z | [
"region:us"
] | mattymchen | null | null | 0 | 142 | 2023-09-05T10:34:50 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: idx
dtype: int64
- name: audio
sequence: int16
- name: video
sequence:
sequence:
sequence: uint8
- name: label
dtype: string
splits:
- name: train
num... | 581 | [
[
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huyen89/SQuAD1_LLMs | 2023-10-16T06:29:51.000Z | [
"region:us"
] | huyen89 | null | null | 0 | 142 | 2023-10-16T06:29:04 | Entry not found | 15 | [
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0.03790... |
winvoker/turkish-sentiment-analysis-dataset | 2023-07-19T13:15:13.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] | winvoker | null | null | 20 | 141 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- crowdsourced
language:
- tr
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Turkish Sentiment Dataset
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-classific... | 1,944 | [
[
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0.034088134765625,
-0.0325927734375,
-0.05694580078125,
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0.03732299804687... |
feradauto/MoralExceptQA | 2022-10-27T15:42:04.000Z | [
"task_categories:text-classification",
"arxiv:2210.01478",
"region:us"
] | feradauto | We present a novel challenge set consisting of moral exception question answering (MoralExceptQA) of cases that involve potentially permissible moral exceptions. | @misc{https://doi.org/10.48550/arxiv.2210.01478,
doi = {10.48550/ARXIV.2210.01478},
url = {https://arxiv.org/abs/2210.01478},
author = {Jin, Zhijing and Levine, Sydney and Gonzalez, Fernando and Kamal, Ojasv and Sap, Maarten and Sachan, Mrinmaya and Mihalcea, Rada and Tenenbaum, Josh and Schölkopf, Bernhard... | 1 | 141 | 2022-10-26T00:26:07 | ---
pretty_name: MoralExceptQA
task_categories:
- text-classification
---
# Dataset Card for MoralExceptQA
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | 4,568 | [
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0.0... |
ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered | 2023-04-28T07:36:17.000Z | [
"region:us"
] | ehartford | null | null | 89 | 141 | 2023-04-27T07:12:18 | This dataset is the WizardLM dataset victor123/evol_instruct_70k, removing instances of blatant alignment.
54974 instructions remain.
inspired by https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py
---
lice... | 387 | [
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buddhist-nlp/daizhige | 2023-07-15T23:57:50.000Z | [
"region:us"
] | buddhist-nlp | null | null | 0 | 141 | 2023-07-15T23:23:04 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 5467464457
num_examples: 24759486
- name: validation
num_bytes: 538238
num_examples: 2500
- name: test
num_bytes: 539615
num_examples: 2500
download_size: 3760260006
dataset_size: 54685423... | 489 | [
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ProlificAI/social-reasoning-rlhf | 2023-10-11T08:50:59.000Z | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"human-feedback",
"rlhf",
"region:us"
] | ProlificAI | null | null | 1 | 141 | 2023-10-10T23:45:21 | ---
license: mit
task_categories:
- text-generation
language:
- en
pretty_name: Social Reasoning RLHF
size_categories:
- 1K<n<10K
tags:
- human-feedback
- rlhf
---
## Dataset Summary
This repository provides access to a social reasoning dataset that aims to provide signal to how humans navigate social situations, how... | 1,976 | [
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covid_qa_ucsd | 2023-06-01T14:59:47.000Z | [
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"languag... | null | null | @article{ju2020CovidDialog,
title={CovidDialog: Medical Dialogue Datasets about COVID-19},
author={Ju, Zeqian and Chakravorty, Subrato and He, Xuehai and Chen, Shu and Yang, Xingyi and Xie, Pengtao},
journal={ https://github.com/UCSD-AI4H/COVID-Dialogue},
year={2020}
} | 1 | 140 | 2022-03-02T23:29:22 | ---
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pretty_name: CovidQaUcsd
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darkraipro/recipe-instructions | 2022-01-18T16:22:01.000Z | [
"region:us"
] | darkraipro | null | null | 0 | 140 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Jzuluaga/uwb_atcc | 2022-12-05T11:15:20.000Z | [
"task_categories:automatic-speech-recognition",
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] | Jzuluaga | null | null | 0 | 140 | 2022-11-28T07:12:02 | ---
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Alignment-Lab-AI/agentcode | 2023-09-08T08:27:16.000Z | [
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] | Alignment-Lab-AI | null | null | 6 | 140 | 2023-09-07T21:05:50 | Entry not found | 15 | [
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DopeorNope/2000sample_COT | 2023-10-19T15:37:10.000Z | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | DopeorNope | null | null | 0 | 140 | 2023-09-21T12:01:52 | ---
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result-kand2-sdxl-wuerst-karlo/6bf53b4b | 2023-10-11T14:51:09.000Z | [
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# Dataset Card for "6bf53b4... | 455 | [
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bookcorpusopen | 2023-04-05T09:41:59.000Z | [
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"language:en"... | null | Books are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is thinking, feeling and how these states evolve through a story.
This version of bookcorpus has 17868 dataset items (books). Each item contains two fields: title and... | @InProceedings{Zhu_2015_ICCV,
title = {Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books},
author = {Zhu, Yukun and Kiros, Ryan and Zemel, Rich and Salakhutdinov, Ruslan and Urtasun, Raquel and Torralba, Antonio and Fidler, Sanja},
booktitle = {The IEEE I... | 24 | 139 | 2022-03-02T23:29:22 | ---
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pretty_name: BookCorpusOpen
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gap | 2023-04-05T10:06:30.000Z | [
"task_categories:token-classification",
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"size_categories:1K<n<10K",
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"language:en",
"license:unknown",
"arxiv:1810.05201",
"region:us"
] | null | GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of
(ambiguous pronoun, antecedent name), sampled from Wikipedia and released by
Google AI Language for the evaluation of coreference resolution in practical
applications. | @article{DBLP:journals/corr/abs-1810-05201,
author = {Kellie Webster and
Marta Recasens and
Vera Axelrod and
Jason Baldridge},
title = {Mind the {GAP:} {A} Balanced Corpus of Gendered Ambiguous Pronouns},
journal = {CoRR},
volume = {abs/1810.05201},
yea... | 2 | 139 | 2022-03-02T23:29:22 | ---
annotations_creators:
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language:
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language_creators:
- found
license:
- unknown
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pretty_name: GAP Benchmark Suite
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paperswithcode_id: gap
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id_clickbait | 2023-01-25T14:32:36.000Z | [
"task_categories:text-classification",
"task_ids:fact-checking",
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"size_categories:10K<n<100K",
"source_datasets:original",
"language:id",
"license:cc-by-4.0",
"region:us"
] | null | The CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news
publishers; detikNews, Fimela, Kapanlagi, Kompas, Liputan6, Okezone, Posmetro-Medan, Republika, Sindonews, Tempo,
Tribunnews, and Wowkeren. This dataset is comprised of mainly two parts; (i) 46,119 raw article... | @inproceedings{id_clickbait,
author = {Andika William, Yunita Sari},
title = {CLICK-ID: A Novel Dataset for Indonesian Clickbait Headlines},
year = {2020},
url = {http://dx.doi.org/10.17632/k42j7x2kpn.1},
} | 0 | 139 | 2022-03-02T23:29:22 | ---
annotations_creators:
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- expert-generated
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- id
license:
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- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
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pretty_name: Indonesian Clickbait Headlines
dat... | 6,346 | [
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Bingsu/Human_Action_Recognition | 2022-07-05T02:48:56.000Z | [
"task_categories:image-classification",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:odbl",
"region:us"
] | Bingsu | null | null | 7 | 139 | 2022-06-09T02:00:52 | ---
language:
- en
license:
- odbl
pretty_name: Human Action Recognition
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- image-classification
---
## Dataset Description
- **Homepage:** [Human Action Recognition (HAR) Dataset](https://www.kaggle.com/datasets/meetnagadia/human-action-recogni... | 4,590 | [
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GATE-engine/aircraft_bbcrop | 2023-06-04T22:22:54.000Z | [
"region:us"
] | GATE-engine | null | null | 0 | 139 | 2023-06-04T22:22:30 | ---
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result-kand2-sdxl-wuerst-karlo/53284ebf | 2023-10-11T15:38:41.000Z | [
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] | result-kand2-sdxl-wuerst-karlo | null | null | 0 | 139 | 2023-10-11T15:38:41 | ---
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---
# Dataset Card for "53284eb... | 455 | [
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nathanReitinger/mlcb | 2023-10-25T02:55:46.000Z | [
"region:us"
] | nathanReitinger | null | null | 0 | 139 | 2023-10-25T01:54:40 | ---
dataset_info:
features:
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---
# Dataset Card for "mlcb"
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cdsc | 2023-01-25T14:27:43.000Z | [
"task_categories:other",
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"multilinguality:monolingual",
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"source_datasets:original",
"language:pl",
"license:cc-by-nc-sa-4.0",
"sentences entailment and relatedness",
"region:us"
] | null | Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (20... | @inproceedings{wroblewska2017polish,
title={Polish evaluation dataset for compositional distributional semantics models},
author={Wr{\'o}blewska, Alina and Krasnowska-Kiera{\'s}, Katarzyna},
booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
page... | 0 | 138 | 2022-03-02T23:29:22 | ---
annotations_creators:
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language:
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license:
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multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
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task_categories:
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task_ids: []
paperswithcode_id: polish-cdscorpus
pretty_name: Polish CDSCorpus
tags:
- sente... | 4,869 | [
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hansards | 2023-04-05T10:07:00.000Z | [
"region:us"
] | null | This release contains 1.3 million pairs of aligned text chunks (sentences or smaller fragments)
from the official records (Hansards) of the 36th Canadian Parliament.
The complete Hansards of the debates in the House and Senate of the 36th Canadian Parliament,
as far as available, were aligned. The corpus was then spli... | 0 | 138 | 2022-03-02T23:29:22 | ---
paperswithcode_id: null
pretty_name: hansards
dataset_info:
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features:
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dtype: string
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splits:
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num_bytes: 5711686
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download_size: 152473... | 7,438 | [
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DDSC/twitter-sent | 2022-07-01T15:44:26.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:da",
"license:cc-by-4.0",
"region:us"
] | DDSC | null | null | 3 | 138 | 2022-03-02T23:29:22 | ---
annotations_creators:
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language_creators:
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language:
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license:
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multilinguality:
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pretty_name: TwitterSent
size_categories:
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source_datasets:
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task_categories:
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task_ids:
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---
# Dataset Card for ... | 2,561 | [
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embedding-data/simple-wiki | 2022-08-02T03:34:17.000Z | [
"task_categories:sentence-similarity",
"task_ids:semantic-similarity-classification",
"language:en",
"license:mit",
"region:us"
] | embedding-data | null | null | 5 | 138 | 2022-07-07T22:57:40 | ---
license: mit
language:
- en
paperswithcode_id: embedding-data/simple-wiki
pretty_name: simple-wiki
task_categories:
- sentence-similarity
- paraphrase-mining
task_ids:
- semantic-similarity-classification
---
# Dataset Card for "simple-wiki"
## Table of Contents
- [Dataset Description](#dataset-description)
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bigbio/nlm_gene | 2023-03-31T02:10:39.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"region:us"
] | bigbio | NLM-Gene consists of 550 PubMed articles, from 156 journals, and contains more than 15 thousand unique gene names, corresponding to more than five thousand gene identifiers (NCBI Gene taxonomy). This corpus contains gene annotation data from 28 organisms. The annotated articles contain on average 29 gene names, and 10 ... | @article{islamaj2021nlm,
title = {
NLM-Gene, a richly annotated gold standard dataset for gene entities that
addresses ambiguity and multi-species gene recognition
},
author = {
Islamaj, Rezarta and Wei, Chih-Hsuan and Cissel, David and Miliaras,
Nicholas and Printseva, Olga and Rodio... | 1 | 138 | 2022-11-13T22:10:56 |
---
language:
- en
bigbio_language:
- English
license: cc0-1.0
multilinguality: monolingual
bigbio_license_shortname: CC0_1p0
pretty_name: NLM-Gene
homepage: https://zenodo.org/record/5089049
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
---
# Datas... | 1,718 | [
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0.06750488... |
pankajmathur/WizardLM_Orca | 2023-06-26T14:39:38.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | pankajmathur | null | null | 64 | 138 | 2023-06-24T18:34:28 | ---
license: cc-by-nc-sa-4.0
task_categories:
- text-generation
language:
- en
size_categories:
- 10K<n<100K
---
Explain tuned WizardLM dataset ~55K created using approaches from Orca Research Paper.
We leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contra... | 596 | [
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0.0152587890625,
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0.00014531612396240234,
0.05694580078125,
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0.0087738037109375,
... |
lyogavin/longer_training_max100k_v3 | 2023-09-09T04:31:13.000Z | [
"region:us"
] | lyogavin | null | null | 3 | 138 | 2023-09-09T04:04:40 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
- name: source
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 329465238... | 598 | [
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pvduy/70k_evol_code_prompts | 2023-10-13T12:05:22.000Z | [
"region:us"
] | pvduy | null | null | 0 | 138 | 2023-10-13T12:05:19 | ---
dataset_info:
features:
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 31492387
num_examples: 70000
download_size: 16308713
dataset_size: 31492387
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "70k_evol_code_prompt... | 455 | [
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0... |
prachathai67k | 2023-01-25T14:42:50.000Z | [
"task_categories:text-classification",
"task_ids:topic-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | null | `prachathai-67k`: News Article Corpus and Multi-label Text Classificdation from Prachathai.com
The prachathai-67k dataset was scraped from the news site Prachathai.
We filtered out those articles with less than 500 characters of body text, mostly images and cartoons.
It contains 67,889 articles wtih 12 curated tags fro... | @misc{prachathai67k,
author = {cstorm125, lukkiddd },
title = {prachathai67k},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished={\\url{https://github.com/PyThaiNLP/prachathai-67k}},
} | 3 | 137 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- topic-classification
paperswithcode_id: prachathai-67k
pretty_name: prachathai67k
dat... | 12,297 | [
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... |
cestwc/adapted-wikismall | 2021-12-15T17:35:28.000Z | [
"region:us"
] | cestwc | null | null | 0 | 137 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03790... |
bigbio/pico_extraction | 2022-12-22T15:46:16.000Z | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | bigbio | This dataset contains annotations for Participants, Interventions, and Outcomes (referred to as PICO task).
For 423 sentences, annotations collected by 3 medical experts are available.
To get the final annotations, we perform the majority voting. | @inproceedings{zlabinger-etal-2020-effective,
title = "Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports",
author = {Zlabinger, Markus and
Sabou, Marta and
Hofst{\"a}tter, Sebastian and
Hanbury, Allan},
booktitle = "Findings of... | 1 | 137 | 2022-11-13T22:11:27 |
---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: PICO Annotation
homepage: https://github.com/Markus-Zlabinger/pico-annotation
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
---
# Dataset Ca... | 1,417 | [
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0.026641... |
johnrobinsn/alpaca-cleaned | 2023-03-30T08:42:40.000Z | [
"region:us"
] | johnrobinsn | null | null | 0 | 137 | 2023-03-30T08:41:04 | Entry not found | 15 | [
[
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0.03790... |
distil-whisper/peoples_speech-clean | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-4.0",
"region:us"
] | distil-whisper | The People's Speech is a free-to-download 30,000-hour and growing supervised
conversational English speech recognition dataset licensed for academic and
commercial usage under CC-BY-SA (with a CC-BY subset). | @article{DBLP:journals/corr/abs-2111-09344,
author = {Daniel Galvez and
Greg Diamos and
Juan Ciro and
Juan Felipe Ceron and
Keith Achorn and
Anjali Gopi and
David Kanter and
Maximilian Lam and
Ma... | 0 | 137 | 2023-04-07T17:10:53 | ---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: People's Speech Clean
---
# Distil Whisper: People's Speech Clean
This is a variant of the [People's Speech Clean](https://huggingface.co/datasets/MLCommons/peoples_speech) dataset, augmented to return the pseudo-labe... | 2,085 | [
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0.004... |
Jing24/val_oneanswer | 2023-08-19T00:35:46.000Z | [
"region:us"
] | Jing24 | null | null | 0 | 137 | 2023-08-19T00:35:44 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int32
- name: text
sequence: string
splits:
- name: train
num_b... | 664 | [
[
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-0.036651611328125,
-0.015640... |
irc_disentangle | 2022-11-18T20:10:09.000Z | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"conversation-disentanglement",
"arxiv:1810.11118",
"region:us"... | null | Disentangling conversations mixed together in a single stream of messages is
a difficult task, made harder by the lack of large manually annotated
datasets. This new dataset of 77,563 messages manually annotated with
reply-structure graphs that both disentangle conversations and define
internal conversation structure. ... | @inproceedings{kummerfeld-etal-2019-large,
title = "A Large-Scale Corpus for Conversation Disentanglement",
author = "Kummerfeld, Jonathan K. and
Gouravajhala, Sai R. and
Peper, Joseph J. and
Athreya, Vignesh and
Gunasekara, Chulaka and
Ganhotra, Jatin and
Patel, Siva S... | 4 | 136 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids: []
paperswithcode_id: irc-disentanglement
pretty_name: IRC Disentanglemen... | 11,236 | [
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0... |
mac_morpho | 2023-01-25T14:34:31.000Z | [
"task_categories:token-classification",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pt",
"license:cc-by-4.0",
"region:us"
] | null | Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
Its first version was released in 2003 [1], and since then, two revisions have been made in order
to improve the quality of the resource [2, 3].
The corpus is available for download split into train, development and test sections.
... | @article{fonseca2015evaluating,
title={Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese},
author={Fonseca, Erick R and Rosa, Joao Luis G and Aluisio, Sandra Maria},
journal={Journal of the Brazilian Computer Society},
volume={21},
number={1},
pages={2},
year={2015},... | 4 | 136 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- pt
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- part-of-speech
pretty_name: Mac-Morpho
dataset_info:
features:
- na... | 6,477 | [
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0.017257... |
gopalkalpande/bbc-news-summary | 2022-06-22T13:08:15.000Z | [
"license:cc0-1.0",
"region:us"
] | gopalkalpande | null | null | 3 | 136 | 2022-06-22T12:56:16 | ---
license: cc0-1.0
---
# About Dataset
### Context
Text summarization is a way to condense the large amount of information into a concise form by the process of selection of important information and discarding unimportant and redundant information. With the amount of textual information present in the world wide ... | 2,197 | [
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0.... |
keremberke/shoe-classification | 2023-01-27T13:46:52.000Z | [
"task_categories:image-classification",
"roboflow",
"roboflow2huggingface",
"Sports",
"Retail",
"Benchmark",
"region:us"
] | keremberke | null | \ | 2 | 136 | 2023-01-27T13:46:37 | ---
task_categories:
- image-classification
tags:
- roboflow
- roboflow2huggingface
- Sports
- Retail
- Benchmark
---
<div align="center">
<img width="640" alt="keremberke/shoe-classification" src="https://huggingface.co/datasets/keremberke/shoe-classification/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
... | 1,689 | [
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jxu124/llava_instruct_150k | 2023-05-20T18:50:37.000Z | [
"region:us"
] | jxu124 | null | null | 0 | 136 | 2023-04-24T13:17:41 | ---
dataset_info:
features:
- name: global_image_id
dtype: string
- name: image_path
dtype: string
- name: dialog
sequence:
sequence: string
- name: anns_id
dtype: string
splits:
- name: train
num_bytes: 187730970
num_examples: 157712
download_size: 95089013
dataset_size:... | 508 | [
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miladfa7/Brain-MRI-Images-for-Brain-Tumor-Detection | 2023-05-16T17:11:04.000Z | [
"region:us"
] | miladfa7 | null | null | 2 | 136 | 2023-05-03T07:11:39 |
Brain Tumor Detection | Vision Transformer 99%
Click -> [Kaggle](https://www.kaggle.com/code/miladfa7/brain-tumor-detection-vision-transformer-99)
---
task_categories:
- image-classification
- image-segmentation
tags:
- 'brain '
- MRI
- brain-MRI-images
- Tumor
--- | 266 | [
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Aeala/ShareGPT_Vicuna_unfiltered | 2023-06-01T07:03:50.000Z | [
"language:en",
"license:apache-2.0",
"region:us"
] | Aeala | null | null | 11 | 136 | 2023-06-01T06:54:32 | ---
license: apache-2.0
language:
- en
---
## Dataset Card
This is a reupload of [this dataset](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) that was further cleaned by gozfarb. | 209 | [
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cdminix/bu_radio | 2023-10-24T08:07:47.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"license:other",
"region:us"
] | cdminix | The Boston University Radio Speech Corpus was collected primarily to support research in text-to-speech synthesis, particularly generation of prosodic patterns. The corpus consists of professionally read radio news data, including speech and accompanying annotations, suitable for speech and language research. | @article{ostendorf1995boston,
title={The Boston University radio news corpus},
author={Ostendorf, Mari and Price, Patti J and Shattuck-Hufnagel, Stefanie},
journal={Linguistic Data Consortium},
pages={1--19},
year={1995}
} | 0 | 136 | 2023-07-17T15:05:46 | ---
license: other
task_categories:
- automatic-speech-recognition
- text-to-speech
---
Simply point ``BURN_PATH`` to your local copy of the dataset. | 150 | [
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jed351/Traditional-Chinese-Common-Crawl-Filtered | 2023-07-20T23:09:09.000Z | [
"language:zh",
"region:us"
] | jed351 | null | null | 5 | 136 | 2023-07-20T21:24:43 | ---
language:
- zh
---
# Traditional Chinese C4
### Dataset Summary
Data obtained from 2023-14 Common Crawl.
Downloaded and processed using [code](https://github.com/jedcheng/c4-dataset-script) based on another [project](https://github.com/shjwudp/c4-dataset-script) attempting to recreate the C4 dataset.
The re... | 850 | [
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jamescalam/agent-conversations-retrieval-tool | 2023-08-27T12:57:37.000Z | [
"region:us"
] | jamescalam | null | null | 7 | 136 | 2023-08-27T12:56:16 | Entry not found | 15 | [
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sorenmulli/hyggeswag | 2023-10-11T07:48:11.000Z | [
"region:us"
] | sorenmulli | null | null | 0 | 136 | 2023-09-26T18:44:27 | ---
dataset_info:
features:
- name: ctx
dtype: string
- name: option-0
dtype: string
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dtype: string
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- name: correct
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spli... | 681 | [
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0.0303955078125,
-0.067138671875,
-0.06268310546875,
-0.052764892578125,
-0.0... |
ericyu/SYSU_CD | 2023-10-22T16:50:21.000Z | [
"region:us"
] | ericyu | null | null | 0 | 136 | 2023-10-22T16:44:46 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
dataset_info:
features:
- name: imageA
dtype: image
- name: imageB
dtype: image
- name: label
dtype: image
splits:
- name: train
... | 722 | [
[
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-0.0457763671875,
-0.00... |
cornell_movie_dialog | 2023-04-05T10:02:37.000Z | [
"language:en",
"region:us"
] | null | This corpus contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts:
- 220,579 conversational exchanges between 10,292 pairs of movie characters
- involves 9,035 characters from 617 movies
- in total 304,713 utterances
- movie metadata included:
- genres
- release y... | @InProceedings{Danescu-Niculescu-Mizil+Lee:11a,
author={Cristian Danescu-Niculescu-Mizil and Lillian Lee},
title={Chameleons in imagined conversations:
A new approach to understanding coordination of linguistic style in dialogs.},
booktitle={Proceedings of the
Workshop on Cognitive Modeling and Co... | 11 | 135 | 2022-03-02T23:29:22 | ---
language:
- en
paperswithcode_id: cornell-movie-dialogs-corpus
pretty_name: Cornell Movie-Dialogs Corpus
dataset_info:
features:
- name: movieID
dtype: string
- name: movieTitle
dtype: string
- name: movieYear
dtype: string
- name: movieIMDBRating
dtype: string
- name: movieNoIMDBVotes
... | 7,346 | [
[
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0.00832366... |
hebrew_sentiment | 2023-01-25T14:32:05.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:he",
"license:mit",
"region:us"
] | null | HebrewSentiment is a data set consists of 12,804 user comments to posts on the official Facebook page of Israel’s
president, Mr. Reuven Rivlin. In October 2015, we used the open software application Netvizz (Rieder,
2013) to scrape all the comments to all of the president’s posts in the period of June – August 2014,
th... | @inproceedings{amram-etal-2018-representations,
title = "Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from {M}odern {H}ebrew",
author = "Amram, Adam and
Ben David, Anat and
Tsarfaty, Reut",
booktitle = "Proceedings of the 27th ... | 2 | 135 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- he
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
paperswithcode_id: modern-hebrew-sentiment-dataset
pr... | 9,063 | [
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-0.0300140380859375,
-0.06976318359375,
-0.05645751953125,
-0.0014... |
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