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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
alexandrainst/ddisco | 2023-02-08T18:12:26.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:da",
"license:afl-3.0",
"discourse",
"coherence",
"region:us"
] | alexandrainst | null | null | 1 | 120 | 2023-02-08T18:05:24 | ---
annotations_creators:
- expert-generated
language:
- da
language_creators:
- expert-generated
license:
- afl-3.0
multilinguality:
- monolingual
pretty_name: DDisco
size_categories:
- 1K<n<10K
source_datasets: []
tags:
- discourse
- coherence
task_categories:
- text-classification
task_ids: []
dataset_info:
featur... | 1,509 | [
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0.0210... |
SaylorTwift/the_pile_books3_minus_gutenberg | 2023-03-03T19:46:43.000Z | [
"region:us"
] | SaylorTwift | null | null | 4 | 120 | 2023-03-03T18:44:35 | ---
dataset_info:
features:
- name: title
dtype: string
- name: text
dtype: string
- name: first_name
dtype: string
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splits:
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num_bytes: 106199627990.47722
num_examples: 192661
download_size: 63006723975
dataset_size: 106199627990.477... | 512 | [
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d0rj/samsum-ru | 2023-05-13T06:44:23.000Z | [
"task_categories:summarization",
"annotations_creators:expert-generated",
"language_creators:translated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:samsum",
"language:ru",
"license:cc-by-nc-nd-4.0",
"conversations-summarization",
"arxiv:1911.12237",
"region:us... | d0rj | null | null | 3 | 120 | 2023-05-08T08:57:36 | ---
annotations_creators:
- expert-generated
language_creators:
- translated
language:
- ru
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- samsum
task_categories:
- summarization
task_ids: []
pretty_name: SAMSum Corpus (ru)
tags:
- conversations-summarization
... | 2,209 | [
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alzoubi36/policy_ie_a | 2023-06-24T07:20:44.000Z | [
"region:us"
] | alzoubi36 | null | null | 0 | 120 | 2023-06-24T07:16:05 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
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num_bytes: 592707
num_examples: 4109
- name: validation
num_bytes: 16114
num_examples: 100
- name: test
num_bytes: 163819
num_examples: 1041
download_size: 364376
dat... | 449 | [
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argilla/emotion | 2023-08-23T06:37:14.000Z | [
"size_categories:10K<n<100K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | argilla | null | null | 0 | 120 | 2023-08-23T06:33:42 | ---
size_categories: 10K<n<100K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for emotion
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used direct... | 6,935 | [
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liyucheng/arc_test | 2023-10-17T16:22:00.000Z | [
"region:us"
] | liyucheng | null | null | 0 | 120 | 2023-10-17T16:21:57 | ---
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: choices
sequence:
- name: text
dtype: string
- name: label
dtype: string
- name: answerKey
dtype: string
splits:
- name: test
num_bytes: 375511
num_examples: 1172
downl... | 526 | [
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thainer | 2023-01-25T14:45:41.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:found",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:... | null | ThaiNER (v1.3) is a 6,456-sentence named entity recognition dataset created from expanding the 2,258-sentence
[unnamed dataset](http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) by
[Tirasaroj and Aroonmanakun (2012)](http://pioneer.chula.ac.th/~awirote/publications/).
It is used to train NER taggers in [PyThaiNLP](h... | @misc{Wannaphong Phatthiyaphaibun_2019,
title={wannaphongcom/thai-ner: ThaiNER 1.3},
url={https://zenodo.org/record/3550546},
DOI={10.5281/ZENODO.3550546},
abstractNote={Thai Named Entity Recognition},
publisher={Zenodo},
author={Wannaphong Phatthiyaphaibun},
year={2019},
month={Nov}
} | 1 | 119 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
- machine-generated
language_creators:
- found
- expert-generated
language:
- th
license:
- cc-by-3.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-tirasaroj-aroonmanakun
task_categories:
- token-classification
task_ids:
- named... | 10,052 | [
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0... |
LeoCordoba/CC-NEWS-ES-titles | 2023-02-23T21:53:46.000Z | [
"task_categories:summarization",
"task_categories:text-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:cc-news",
"language:es",
"license:mit",
"conditional-text-generation",
"region:us"
] | LeoCordoba | null | 2 | 119 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- es
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- cc-news
task_categories:
- summarization
- text-generation
task_ids: []
tags:
- conditional-text-generation
---
# Dataset Card for CC-NEWS-ES... | 4,700 | [
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saattrupdan/doc-nli | 2022-04-26T18:44:14.000Z | [
"region:us"
] | saattrupdan | null | null | 2 | 119 | 2022-04-26T18:32:39 | Entry not found | 15 | [
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0.03790... |
AlekseyKorshuk/fiction-books | 2022-06-12T05:29:38.000Z | [
"region:us"
] | AlekseyKorshuk | null | null | 3 | 119 | 2022-06-12T05:29:30 | Entry not found | 15 | [
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fabiochiu/medium-articles | 2022-07-17T15:17:09.000Z | [
"license:mit",
"region:us"
] | fabiochiu | null | null | 5 | 119 | 2022-07-16T15:34:11 | ---
license: mit
---
# Data source
This data has been collected through a standard scraping process from the [Medium website](https://medium.com/), looking for published articles.
# Data description
Each row in the data is a different article published on Medium. For each article, you have the following features:
- *... | 2,258 | [
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lucadiliello/wikipedia_512_pretraining | 2023-03-24T08:03:19.000Z | [
"size_categories:1M<n<10M",
"language:en",
"region:us"
] | lucadiliello | null | null | 1 | 119 | 2023-02-24T18:40:57 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 9828026640.785877
num_examples: 6699666
- name: dev
num_bytes: 146694277.60706097
num_examples: 100000
- name: test
num_bytes: 146694277.60706097
num_examples: 100000
download_size: 64545365... | 648 | [
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bertin-project/alpaca-spanish | 2023-03-24T11:38:19.000Z | [
"task_categories:text-generation",
"language:es",
"license:cc-by-4.0",
"instruction-finetuning",
"region:us"
] | bertin-project | null | null | 19 | 119 | 2023-03-20T11:51:06 | ---
license: cc-by-4.0
language:
- es
tags:
- instruction-finetuning
pretty_name: BERTIN Alpaca Spanish
task_categories:
- text-generation
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 2143... | 1,028 | [
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gigant/tib | 2023-09-25T12:05:25.000Z | [
"task_categories:summarization",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | gigant | null | null | 0 | 119 | 2023-04-11T15:22:07 | ---
dataset_info:
features:
- name: doi
dtype: string
- name: title
dtype: string
- name: url
dtype: string
- name: video_url
dtype: string
- name: license
dtype: string
- name: subject
dtype: string
- name: genre
dtype: string
- name: release_year
dtype: string
- nam... | 6,700 | [
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checkai/instruction-poems | 2023-04-19T03:02:09.000Z | [
"license:cc-by-4.0",
"region:us"
] | checkai | null | null | 5 | 119 | 2023-04-19T00:36:02 | ---
license: cc-by-4.0
---
Poem dataset to be used with instruction fine tuning | 80 | [
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Thaweewat/alpaca-finance-43k-th | 2023-05-09T19:05:48.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | Thaweewat | null | null | 2 | 119 | 2023-05-09T19:01:32 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
- summarization
language:
- th
tags:
- instruction-finetuning
size_categories:
- 10K<n<100K
---
# Summary
🇹🇭 Thai-instructed dataset translated from [gbharti/wealth-alpaca_lora](https://huggingface.co/datasets/gbharti/wealth-alpaca_lora) using Google C... | 804 | [
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psymon/namuwiki_alpaca_dataset | 2023-06-29T07:29:01.000Z | [
"language:ko",
"license:cc-by-nc-sa-2.0",
"region:us"
] | psymon | null | null | 8 | 119 | 2023-06-29T07:18:44 | ---
license: cc-by-nc-sa-2.0
language:
- ko
---
## namuwiki for Stanford Alpaca
나무위키 덤프 파일을 Stanford Alpaca 학습에 맞게 수정한 데이터셋입니다.
데이터 형식은 Stanford Alpaca와 동일합니다. instruction은 '나무위키 문서 제목' + '에 대해 설명해줘.' 형태이고,<br>
output은 문서 == 개요 == 에 해당하는 내용입니다. 개요가 없는 항목, 개요가 너무 짧은 항목은 제외하였습니다.
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loremipsum3658/pet | 2023-08-24T21:28:06.000Z | [
"region:us"
] | loremipsum3658 | null | null | 0 | 119 | 2023-08-24T21:27:59 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: fname
dtype: string
- name: raw_text
dtype: string
- name: aviso_previo
dtype: bool
- na... | 1,903 | [
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aloobun/mini-math23k-v1 | 2023-10-10T12:40:42.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | aloobun | null | null | 5 | 119 | 2023-10-10T08:54:00 | ---
license: mit
language:
- en
size_categories:
- 10K<n<100K
task_categories:
- text-generation
pretty_name: math
---
The mini-math23k-v1 dataset is composed of ~ 23,000 entries of data, from open datasets across the AI landscape, including:
- [TIGER-Lab/MathInstruct](https://huggingface.co/datasets/TIGER-Lab/MathIn... | 750 | [
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argilla/text-descriptives-metadata | 2023-10-30T13:42:51.000Z | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | argilla | null | null | 0 | 119 | 2023-10-20T13:28:10 | ---
size_categories: 1K<n<10K
tags:
- rlfh
- argilla
- human-feedback
dataset_info:
features:
- name: prompt
dtype: string
id: field
- name: context
dtype: string
id: field
- name: response
list:
- name: user_id
dtype: string
id: question
- name: value
dtype: string... | 12,996 | [
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Cartinoe5930/KoRAE_original | 2023-10-29T09:17:03.000Z | [
"region:us"
] | Cartinoe5930 | null | null | 0 | 119 | 2023-10-29T09:16:51 | ---
dataset_info:
features:
- name: source
dtype: string
- name: prompt
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splits:
- name: train
num_bytes: 95068407
num_examples: 63724
download_size: 48931987
dataset_s... | 508 | [
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Fraser/mnist-text-small | 2021-02-22T10:21:37.000Z | [
"region:us"
] | Fraser | MNIST dataset adapted to a text-based representation.
*Modified images to be ~1/4 the original area.*
Done by taking a max pool.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel int... | @dataset{dataset,
author = {Fraser Greenlee},
year = {2021},
month = {1},
pages = {},
title = {MNIST small text dataset.},
doi = {}
} | 0 | 118 | 2022-03-02T23:29:22 | MNIST dataset adapted to a text-based representation.
Modified images to be ~1/4 the original area.
Done by taking a max pool.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel into ... | 1,198 | [
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0.016311645... |
clarin-pl/kpwr-ner | 2023-01-30T22:54:02.000Z | [
"task_categories:other",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:18K",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pl",
"license:cc-by-3.0",
"structure-predict... | clarin-pl | KPWR-NER tagging dataset. | null | 6 | 118 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- pl
license:
- cc-by-3.0
multilinguality:
- monolingual
size_categories:
- 18K
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids:
- named-entity-recognition
pretty_name: KPWr-NER
tags:
- structure-prediction
---
... | 13,598 | [
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imvladikon/hebrew_speech_kan | 2023-05-05T09:12:15.000Z | [
"task_categories:automatic-speech-recognition",
"size_categories:1K<n<10K",
"language:he",
"region:us"
] | imvladikon | null | null | 2 | 118 | 2022-03-02T23:29:22 | ---
task_categories:
- automatic-speech-recognition
language:
- he
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 1569850175.0
num_examples: 8000
- name: valida... | 2,512 | [
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... |
metaeval/ethics | 2023-06-02T14:45:34.000Z | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"language:en",
"region:us"
] | metaeval | Probing for ethics understanding | null | 4 | 118 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
pretty_name: ethics
size_categories:
- unknown
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
---
https://github.com/hendrycks/ethics | 300 | [
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strombergnlp/bornholmsk_parallel | 2022-07-01T15:45:35.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:da",
"language:da-bornholm",
"license:cc-by-4.0",
"region:us"
] | strombergnlp | This dataset is parallel text for Bornholmsk and Danish.
For more details, see the paper [Bornholmsk Natural Language Processing: Resources and Tools](https://aclanthology.org/W19-6138/). | @inproceedings{derczynski-kjeldsen-2019-bornholmsk,
title = "Bornholmsk Natural Language Processing: Resources and Tools",
author = "Derczynski, Leon and
Kjeldsen, Alex Speed",
booktitle = "Proceedings of the 22nd Nordic Conference on Computational Linguistics",
month = sep # "{--}" # oct,
ye... | 2 | 118 | 2022-05-11T08:29:38 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- da
- da-bornholm
license:
- cc-by-4.0
multilinguality:
- translation
pretty_name: Bornholmsk/Danish Parallel Texts
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: bo... | 4,370 | [
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0.0323... |
FinanceInc/auditor_sentiment | 2022-07-21T19:03:51.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"region:us"
] | FinanceInc | null | null | 11 | 118 | 2022-07-21T18:25:47 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
- sentiment-classification
paperswithcode_id: null
pretty_name: Audi... | 3,707 | [
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taide/TAIDE-14-tasks | 2023-10-26T09:14:32.000Z | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:conversational",
"size_categories:n<1K",
"language:zh",
"language:en",
"license:cc-by-nc-4.0",
"gpt4",
"region:us"
] | taide | null | null | 11 | 118 | 2023-09-04T06:21:18 | ---
license: cc-by-nc-4.0
task_categories:
- text-generation
- question-answering
- conversational
language:
- zh
- en
tags:
- gpt4
size_categories:
- n<1K
---
# Dataset Card for TAIDE-14-tasks
### Dataset Summary
The "TAIDE-14-tasks" dataset, derived from the TAIDE project, encompasses 14 prevalent text generation t... | 3,124 | [
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0.... |
Shreyasrp/Text-to-SQL | 2023-09-28T17:04:10.000Z | [
"region:us"
] | Shreyasrp | null | null | 0 | 118 | 2023-09-28T17:02:58 | Entry not found | 15 | [
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0.0379... |
erhwenkuo/wikipedia-zhtw | 2023-10-10T03:22:43.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"size_categories:1M<n<10M",
"language:zh",
"license:cc-by-sa-3.0",
"region:us"
] | erhwenkuo | null | null | 2 | 118 | 2023-10-10T02:31:00 | ---
dataset_info:
config_name: '20231001'
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1682641991
num_examples: 1373081
download_size: 1064907519
dataset_size: 1682641991
c... | 2,290 | [
[
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... |
interpress_news_category_tr_lite | 2023-01-25T14:33:07.000Z | [
"task_categories:text-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|interpress_news_category_tr",
"language:tr",
"license:unknown",
"news-category-classification",
"region:us"
] | null | It is a Turkish news data set consisting of 273601 news in 10 categories, compiled from print media and news websites between 2010 and 2017 by the Interpress (https://www.interpress.com/) media monitoring company. It has been rearranged as easily separable and with fewer classes. | null | 10 | 117 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- tr
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|interpress_news_category_tr
task_categories:
- text-classification
task_ids: []
pretty_name: Interpress Turkish News Category Dataset (27... | 9,989 | [
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0.02... |
SetFit/mnli_mm | 2022-02-28T13:56:44.000Z | [
"region:us"
] | SetFit | null | null | 0 | 117 | 2022-03-02T23:29:22 | # Glue MNLI
This dataset is a port of the official [`mnli` dataset](https://huggingface.co/datasets/glue/viewer/mnli/train) on the Hub.
It contains the mismatched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the labe... | 352 | [
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... |
classla/copa_hr | 2022-10-25T07:32:15.000Z | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"language:hr",
"license:cc-by-sa-4.0",
"causal-reasoning",
"textual-entailment",
"commonsense-reasoning",
"arxiv:2005.00333",
"arxiv:2104.09243",
"region:us"
] | classla | The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation
of the English COPA dataset (https://people.ict.usc.edu/~gordon/copa.html) by following the
XCOPA dataset translation methodology (https://arxiv.org/abs/2005.00333). The dataset consists of 1000 premises
(My body cast a shadow over t... | @article{DBLP:journals/corr/abs-2104-09243,
author = {Nikola Ljubesic and
Davor Lauc},
title = {BERTi{\'{c}} - The Transformer Language Model for Bosnian, Croatian,
Montenegrin and Serbian},
journal = {CoRR},
volume = {abs/2104.09243},
year = {2021},
url ... | 0 | 117 | 2022-03-02T23:29:22 | ---
language:
- hr
license:
- cc-by-sa-4.0
task_categories:
- text-classification
task_ids:
- natural-language-inference
tags:
- causal-reasoning
- textual-entailment
- commonsense-reasoning
---
The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation
of the English COPA dataset (https://peo... | 1,406 | [
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... |
ai4bharat/IndicHeadlineGeneration | 2022-10-13T06:08:20.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:27K<n<341K",
"source_datasets:original for Hindi, and modified [IndicGLUE](https://indicnlp.ai4bharat.org/indic-glue/) for other languages.",
"language:as",
"language:bn",
"language:gu",
... | ai4bharat | This is the new headline generation dataset released as part of IndicNLG Suite. Each
input document is paired an output title. We create this dataset in eleven
languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
size of the dataset is 1.43M. | @inproceedings{Kumar2022IndicNLGSM,
title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
year={2022},
u... | 0 | 117 | 2022-03-10T09:58:27 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicHeadlineGeneration
size_categories:
- 27K<n<341K
source_datasets:
- original for Hindi, and modified [IndicGLUE]... | 7,540 | [
[
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0.02024841308593... |
GEM/xwikis | 2023-02-22T13:05:19.000Z | [
"task_categories:summarization",
"annotations_creators:found",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:de",
"language:en",
"language:fr",
"language:cs",
"license:cc-by-sa-4.0",
"arxiv:2202.09583",
"region:us"
] | GEM | The XWikis Corpus (Perez-Beltrachini and Lapata, 2021) provides datasets with different language pairs and directions for cross-lingual abstractive document summarisation. This current version includes four languages: English, German, French, and Czech. The dataset is derived from Wikipedia. It is based on the observat... | @inproceedings{perez2021models,
title={Models and Datasets for Cross-Lingual Summarisation},
author={Perez-Beltrachini, Laura and Lapata, Mirella},
booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
pages={9408--9423},
year={2021}
} | 2 | 117 | 2022-03-14T15:31:48 | ---
annotations_creators:
- found
language_creators:
- unknown
language:
- de
- en
- fr
- cs
license:
- cc-by-sa-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: xwikis
---
# Dataset Card for GEM/xwikis
## Dataset Descript... | 9,957 | [
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0... |
nthngdy/oscar-small | 2023-03-08T09:57:45.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"source_datasets:oscar",
"language:af",
"language:am",
"language:ar",
"language:arz",
"language:as",
"language:az",
"language:azb"... | nthngdy | The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.\ | @inproceedings{ortiz-suarez-etal-2020-monolingual,
title = "A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages",
author = "Ortiz Su{\'a}rez, Pedro Javier and
Romary, Laurent and
Sagot, Benoit",
booktitle = "Proceedings of the 58th Annual Meeting of the Associat... | 4 | 117 | 2022-03-23T09:26:03 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- af
- am
- ar
- arz
- as
- az
- azb
- ba
- be
- bg
- bn
- bo
- br
- ca
- ce
- ceb
- ckb
- cs
- cv
- cy
- da
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gl
- gu
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- ka
- kk
- ... | 13,327 | [
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0.046051025390625,
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frgfm/imagewoof | 2022-12-11T22:26:18.000Z | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:1K<n<10K",
"source_datasets:extended",
"language:en",
"license:apache-2.0",
"region:us"
] | frgfm | Imagewoof is a subset of 10 classes from Imagenet that aren't so
easy to classify, since they're all dog breeds. The breeds are:
Australian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu,
English foxhound, Rhodesian ridgeback, Dingo, Golden retriever,
Old English sheepdog. | @software{Howard_Imagewoof_2019,
title={Imagewoof: a subset of 10 classes from Imagenet that aren't so easy to classify},
author={Jeremy Howard},
year={2019},
month={March},
publisher = {GitHub},
url = {https://github.com/fastai/imagenette#imagewoof}
} | 2 | 117 | 2022-07-26T15:21:56 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- apache-2.0
multilinguality: []
size_categories:
- 1K<n<10K
source_datasets:
- extended
task_categories:
- image-classification
task_ids: []
paperswithcode_id: imagewoof
pretty_name: Imagewoof
---
# Dataset Card for Ima... | 4,661 | [
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-0.0119781494140625,
-0.057647705078125,
0.032745361328125,
0.0276336669921875,
-0.04364013671875,
-0.0582275390625,
-0.052642822265625,
... |
CShorten/CDC-COVID-FAQ | 2022-09-11T15:42:46.000Z | [
"license:afl-3.0",
"region:us"
] | CShorten | null | null | 1 | 117 | 2022-09-11T15:42:18 | ---
license: afl-3.0
---
Dataset extracted from https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html#Treatment-and-Management.
| 129 | [
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bigbio/gad | 2022-12-22T15:25:28.000Z | [
"multilinguality:momolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | A corpus identifying associations between genes and diseases by a semi-automatic
annotation procedure based on the Genetic Association Database | @article{Bravo2015,
doi = {10.1186/s12859-015-0472-9},
url = {https://doi.org/10.1186/s12859-015-0472-9},
year = {2015},
month = feb,
publisher = {Springer Science and Business Media {LLC}},
volume = {16},
number = {1},
author = {{\`{A}}lex Bravo and Janet Pi{\~{n}}ero and N{\'{u}}ria Queralt-Rosinach a... | 1 | 117 | 2022-09-26T03:36:32 | ---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: momolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: GAD
homepage: https://geneticassociationdb.nih.gov/
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
- TEXT_CLASSIFICATION
paperswithcode_id: gad
---
# Dataset Car... | 1,578 | [
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-0.04779052734375,... |
ashraq/tmdb-people-image | 2023-04-21T20:02:31.000Z | [
"region:us"
] | ashraq | null | null | 3 | 117 | 2022-12-02T17:34:52 | ---
dataset_info:
features:
- name: adult
dtype: bool
- name: also_known_as
dtype: string
- name: biography
dtype: string
- name: birthday
dtype: string
- name: deathday
dtype: string
- name: gender
dtype: int64
- name: homepage
dtype: string
- name: id
dtype: int64
-... | 815 | [
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0.051422119140625,
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-0.0794677734375,
-0.0174407958984375,
-0.011901... |
argilla/medical-domain | 2022-12-07T11:57:58.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"region:us"
] | argilla | null | null | 18 | 117 | 2022-12-07T08:47:29 | ---
language:
- en
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
dataset_info:
features:
- name: text
dtype: string
- name: inputs
struct:
- name: text
dtype: string
- name: prediction
list:
- name: label
dtype: string
- name... | 1,707 | [
[
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0.052154541015625,
-0.059326171875,
-0.06817626953125,
-0.053466796875,
0.0131683... |
keremberke/blood-cell-object-detection | 2023-01-18T20:37:18.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"Biology",
"region:us"
] | keremberke | null | @misc{ blood-cell-detection-1ekwu_dataset,
title = { Blood Cell Detection Dataset },
type = { Open Source Dataset },
author = { Team Roboflow },
howpublished = { \\url{ https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu } },
url = { https://universe.roboflow.com/team-roboflow/blo... | 10 | 117 | 2022-12-31T22:57:22 | ---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Biology
---
<div align="center">
<img width="640" alt="keremberke/blood-cell-object-detection" src="https://huggingface.co/datasets/keremberke/blood-cell-object-detection/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['p... | 2,160 | [
[
-0.0288238525390625,
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0.023895263671875,
-0.0145721435546875,
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0.010498046875,
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0.01471710205078125,
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... |
Hello-SimpleAI/HC3-Chinese | 2023-01-21T13:11:49.000Z | [
"task_categories:text-classification",
"task_categories:question-answering",
"task_categories:sentence-similarity",
"task_categories:zero-shot-classification",
"size_categories:10K<n<100K",
"language:en",
"language:zh",
"license:cc-by-sa-4.0",
"ChatGPT",
"SimpleAI",
"Detection",
"OOD",
"arxi... | Hello-SimpleAI | Human ChatGPT Comparison Corpus (HC3) Chinese Version | \ | 102 | 117 | 2023-01-18T14:20:45 | ---
task_categories:
- text-classification
- question-answering
- sentence-similarity
- zero-shot-classification
language:
- en
- zh
tags:
- ChatGPT
- SimpleAI
- Detection
- OOD
size_categories:
- 10K<n<100K
license: cc-by-sa-4.0
---
# Human ChatGPT Comparison Corpus (HC3)
We propose the first human-ChatGPT compariso... | 1,484 | [
[
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0.027557373046875,
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-0.04827880859375,
-0.033782958984375,
... |
mediabiasgroup/mbib-base | 2023-08-03T01:03:05.000Z | [
"task_categories:text-classification",
"size_categories:1M<n<10M",
"language:en",
"license:cc",
"media",
"mediabias",
"media-bias",
"media bias",
"region:us"
] | mediabiasgroup | null | null | 5 | 117 | 2023-02-06T13:51:22 | ---
license: cc
task_categories:
- text-classification
language:
- en
tags:
- media
- mediabias
- media-bias
- media bias
size_categories:
- 1M<n<10M
---
# Dataset Card for Media-Bias-Identification-Benchmark
## Table of Contents
- [Dataset Card for Media-Bias-Identification-Benchmark](#dataset-card-for-mbib)
- [Ta... | 3,291 | [
[
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0.0202789306640625,
0.008392333984375,
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-0.05950927734375,
-0.055908203125,
... |
HuggingFaceH4/stack-exchange-preferences | 2023-03-08T03:37:53.000Z | [
"task_categories:question-answering",
"size_categories:10M<n<100M",
"language:en",
"license:cc-by-sa-4.0",
"RLHF",
"preferences",
"human-feedback",
"Stack Exchange",
"arxiv:2112.00861",
"region:us"
] | HuggingFaceH4 | null | null | 75 | 117 | 2023-02-11T03:24:28 | ---
license: cc-by-sa-4.0
task_categories:
- question-answering
language:
- en
pretty_name: H4 Stack Exchange Preferences Dataset
tags:
- RLHF
- preferences
- human-feedback
- Stack Exchange
download_size: 22132072448
size_categories:
- 10M<n<100M
---
# Dataset Card for H4 Stack Exchange Preferences Dataset
## Dataset... | 8,744 | [
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0.02642822265625,
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0.040557861328125,
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-0.0450439453125,
-0.034820556640625,
0.026901... |
jinaai/negation-dataset | 2023-08-04T10:09:02.000Z | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"finetuner",
"arxiv:2307.11224",
"region:us"
] | jinaai | null | null | 7 | 117 | 2023-07-13T13:23:45 |
---
tags:
- finetuner
language: en
license: apache-2.0
dataset_info:
features:
- name: anchor
dtype: string
- name: entailment
dtype: string
- name: negative
dtype: string
splits:
- name: train
num_examples: 10000
- name: test
num_examples: 500
download_size: 1467517
multilinguali... | 3,986 | [
[
-0.02978515625,
-0.0882568359375,
0.03173828125,
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0.041656494140625,
0.0156402587890625,
-0.042633056640625,
-0.03955078125,
-0.034454345703125,
0.0171661376... |
erhwenkuo/hh_rlhf-chinese-zhtw | 2023-10-04T23:24:34.000Z | [
"task_categories:reinforcement-learning",
"language:zh",
"license:mit",
"arxiv:2204.05862",
"region:us"
] | erhwenkuo | null | null | 0 | 117 | 2023-10-04T23:11:44 | ---
dataset_info:
features:
- name: context
list:
- name: role
dtype: string
- name: text
dtype: string
- name: chosen
struct:
- name: role
dtype: string
- name: text
dtype: string
- name: rejected
struct:
- name: role
dtype: string
- name: text
... | 1,899 | [
[
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0.019561767578125,
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0.0239105224609375,
0.0200347900390625,
-0.059661865234375,
-0.04742431640625,
-0.038970947265625,
... |
liyucheng/winogrande_val | 2023-10-17T14:56:56.000Z | [
"region:us"
] | liyucheng | null | null | 0 | 117 | 2023-10-17T14:56:53 | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: option1
dtype: string
- name: option2
dtype: string
- name: answer
dtype: string
- name: id
dtype: string
splits:
- name: validation
num_bytes: 196015
num_examples: 1267
download_size: 94663
dataset_size: ... | 499 | [
[
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... |
SetFit/ethos_binary | 2022-01-16T17:54:54.000Z | [
"region:us"
] | SetFit | null | null | 0 | 116 | 2022-03-02T23:29:22 |
This is the binary split of [ethos](https://huggingface.co/datasets/ethos), split into train and test.
It contains comments annotated for hate speech or not. | 162 | [
[
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0.00846862... |
lintang/numerical_reasoning_arithmetic | 2023-01-09T06:33:43.000Z | [
"region:us"
] | lintang | Generated dataset for testing numerical reasoning | \ | 0 | 116 | 2023-01-05T08:48:37 | # Numerical Reasoning
| 22 | [
[
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-0.020050048828125,
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-0.034088134765625,... |
Muennighoff/babi | 2023-02-12T13:34:24.000Z | [
"region:us"
] | Muennighoff | null | null | 0 | 116 | 2023-02-12T09:19:00 |
Creation (Copied & adapted from https://github.com/stanford-crfm/helm/blob/0eaaa62a2263ddb94e9850ee629423b010f57e4a/src/helm/benchmark/scenarios/babi_qa_scenario.py):
```python
!wget http://www.thespermwhale.com/jaseweston/babi/tasks_1-20_v1-2.tar.gz
!tar -xf tasks_1-20_v1-2.tar.gz
import json
from typing import List... | 2,199 | [
[
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0.027130126953125,
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... |
thu-coai/esconv | 2023-07-15T08:26:36.000Z | [
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2106.01144",
"region:us"
] | thu-coai | null | null | 0 | 116 | 2023-05-08T09:18:06 | ---
license: cc-by-nc-4.0
language:
- en
---
The ESConv dataset. [GitHub repo](https://github.com/thu-coai/Emotional-Support-Conversation). [Original paper](https://arxiv.org/abs/2106.01144).
```bib
@inproceedings{liu-etal-2021-towards,
title={Towards Emotional Support Dialog Systems},
author={Liu, Siyang and
... | 510 | [
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0.017730... |
clarin-knext/msmarco-pl | 2023-06-07T08:22:03.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 116 | 2023-06-06T22:02:28 | ---
language:
- 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 | 201 | [
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rafaelpadilla/coco2017 | 2023-08-11T23:02:22.000Z | [
"task_categories:object-detection",
"annotations_creators:expert-generated",
"size_categories:100K<n<1M",
"language:en",
"arxiv:1405.0312",
"region:us"
] | rafaelpadilla | This dataset contains all COCO 2017 images and annotations split in training (118287 images) and validation (5000 images). | @article{DBLP:journals/corr/LinMBHPRDZ14,
author = {Tsung{-}Yi Lin and
Michael Maire and
Serge J. Belongie and
Lubomir D. Bourdev and
Ross B. Girshick and
James Hays and
Pietro Perona and
Deva Ramanan and
... | 1 | 116 | 2023-07-19T19:30:44 | ---
pretty_name: COCO2017
annotations_creators:
- expert-generated
size_categories:
- 100K<n<1M
language:
- en
task_categories:
- object-detection
---
# Dataset Card for Dataset Name
This dataset includes **COCO 2017** only.
COCO 2014 and 2015 will be included soon.
## Dataset Description
- **Homepage:** h... | 5,991 | [
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0.0... |
sibozhu/paddington_en | 2023-10-04T03:08:51.000Z | [
"region:us"
] | sibozhu | null | null | 0 | 116 | 2023-10-04T03:08:00 | Entry not found | 15 | [
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0.0379... |
roborovski/diffusiondb-seq2seq | 2023-10-10T03:04:26.000Z | [
"region:us"
] | roborovski | null | null | 0 | 116 | 2023-10-10T02:25:27 | ---
dataset_info:
features:
- name: subject
dtype: string
- name: descriptor
dtype: string
splits:
- name: train
num_bytes: 10079006
num_examples: 93834
download_size: 6236928
dataset_size: 10079006
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
#... | 492 | [
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-0.03665161... |
arsentd_lev | 2023-01-25T14:26:36.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:topic-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:apc",
"language:ajp",
"lic... | null | The Arabic Sentiment Twitter Dataset for Levantine dialect (ArSenTD-LEV) contains 4,000 tweets written in Arabic and equally retrieved from Jordan, Lebanon, Palestine and Syria. | @article{ArSenTDLev2018,
title={ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets},
author={Baly, Ramy, and Khaddaj, Alaa and Hajj, Hazem and El-Hajj, Wassim and Bashir Shaban, Khaled},
journal={OSACT3},
pages={},
year={2018}} | 3 | 115 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- apc
- ajp
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
- topic-classification
paperswithcode_id: arsentd-... | 5,022 | [
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sepedi_ner | 2023-01-25T14:44:06.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:nso",
"license:other",
"region:us"
] | null | Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags. | @inproceedings{sepedi_ner,
author = {D.J. Prinsloo and
Roald Eiselen},
title = {NCHLT Sepedi Named Entity Annotated Corpus},
booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Con... | 1 | 115 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- nso
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: Sepedi NER Corpus
license_details: Cre... | 5,530 | [
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swahili | 2022-11-18T21:49:35.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"l... | null | The Swahili dataset developed specifically for language modeling task.
The dataset contains 28,000 unique words with 6.84M, 970k, and 2M words for the train,
valid and test partitions respectively which represent the ratio 80:10:10.
The entire dataset is lowercased, has no punctuation marks and,
the start and end of se... | @InProceedings{huggingface:dataset,
title = Language modeling data for Swahili (Version 1),
authors={Shivachi Casper Shikali, & Mokhosi Refuoe.
},
year={2019},
link = http://doi.org/10.5281/zenodo.3553423
} | 7 | 115 | 2022-03-02T23:29:22 | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- sw
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswithc... | 4,194 | [
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PereLluis13/spanish_speech_text | 2022-02-04T17:32:37.000Z | [
"region:us"
] | PereLluis13 | null | null | 1 | 115 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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demelin/moral_stories | 2022-07-17T15:29:10.000Z | [
"task_categories:multiple-choice",
"task_categories:text-generation",
"task_categories:text-classification",
"task_ids:multiple-choice-qa",
"task_ids:language-modeling",
"task_ids:text-scoring",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
... | demelin | Moral Stories is a crowd-sourced dataset of structured, branching narratives for the study of grounded, goal-oriented
social reasoning. For detailed information, see https://aclanthology.org/2021.emnlp-main.54.pdf. | @article{Emelin2021MoralSS,
title={Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences},
author={Denis Emelin and Ronan Le Bras and Jena D. Hwang and Maxwell Forbes and Yejin Choi},
journal={ArXiv},
year={2021},
volume={abs/2012.15738}
} | 10 | 115 | 2022-07-14T11:19:52 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- crowdsourced
license:
- mit
multilinguality:
- monolingual
pretty_name: Moral Stories
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- multiple-choice
- text-generation
- text-classification
- commonsense-reasoning... | 12,011 | [
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keremberke/forklift-object-detection | 2023-01-15T14:32:47.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"Manufacturing",
"region:us"
] | keremberke | null | @misc{ forklift-dsitv_dataset,
title = { Forklift Dataset },
type = { Open Source Dataset },
author = { Mohamed Traore },
howpublished = { \\url{ https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv } },
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv },
jo... | 4 | 115 | 2023-01-01T09:57:34 | ---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Manufacturing
---
<div align="center">
<img width="640" alt="keremberke/forklift-object-detection" src="https://huggingface.co/datasets/keremberke/forklift-object-detection/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
[... | 1,749 | [
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Jacobvs/CelebrityTweets | 2023-03-02T23:01:59.000Z | [
"region:us"
] | Jacobvs | null | null | 0 | 115 | 2023-03-02T23:01:12 | Entry not found | 15 | [
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tiedong/goat | 2023-05-25T22:14:53.000Z | [
"task_categories:question-answering",
"size_categories:1M<n<10M",
"language:en",
"license:apache-2.0",
"region:us"
] | tiedong | null | null | 16 | 115 | 2023-05-25T22:07:47 | ---
license: apache-2.0
task_categories:
- question-answering
language:
- en
size_categories:
- 1M<n<10M
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
The dataset.json file contains ~1.7 m... | 1,517 | [
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karan4d/instruct_machiavellian_textbooks | 2023-10-03T16:30:54.000Z | [
"license:apache-2.0",
"region:us"
] | karan4d | null | null | 0 | 115 | 2023-10-03T02:20:08 | ---
license: apache-2.0
---
credits: shoutout @vikp for his textbook_quality GH repo this was created with
dataset info: a bunch of bad boy data for Machiavellian LLMs | 169 | [
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Tverous/SemEval-Sample | 2023-10-20T23:19:59.000Z | [
"region:us"
] | Tverous | null | null | 0 | 115 | 2023-10-20T17:27:04 | ---
dataset_info:
features:
- name: conv_uttr_id
dtype: string
- name: conversation
dtype: string
- name: sentence
dtype: string
- name: emotion
dtype: int64
- name: cause_utterance_ID
sequence: string
splits:
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num_bytes: 13354056
num_examples: 13619
download_s... | 616 | [
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yuvalkirstain/task_prediction_train | 2023-10-31T18:44:28.000Z | [
"region:us"
] | yuvalkirstain | null | null | 0 | 115 | 2023-10-31T06:18:08 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: path
dtype: string
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dtype: string
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num_bytes: 659890949... | 639 | [
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liveqa | 2022-11-03T16:15:28.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:zh",
"license:unknown",
"region:us"
] | null | This is LiveQA, a Chinese dataset constructed from play-by-play live broadcast.
It contains 117k multiple-choice questions written by human commentators for over 1,670 NBA games,
which are collected from the Chinese Hupu website. | @inproceedings{qianying-etal-2020-liveqa,
title = "{L}ive{QA}: A Question Answering Dataset over Sports Live",
author = "Qianying, Liu and
Sicong, Jiang and
Yizhong, Wang and
Sujian, Li",
booktitle = "Proceedings of the 19th Chinese National Conference on Computational Linguistics",
... | 1 | 114 | 2022-03-02T23:29:22 | ---
annotations_creators:
- found
language_creators:
- found
language:
- zh
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: liveqa
pretty_name: LiveQA
dataset_info:
features:
... | 5,349 | [
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laion/laion-coco | 2022-10-23T18:55:09.000Z | [
"license:cc-by-4.0",
"region:us"
] | laion | null | null | 43 | 114 | 2022-09-30T20:29:42 | ---
license: cc-by-4.0
---
# LAION COCO: 600M SYNTHETIC CAPTIONS FROM LAION2B-EN
by: Christoph Schuhmann, Andreas Köpf, Richard Vencu, Theo Coombes, Romain Beaumont, 10 Oct, 2022
Author: Christoph Schuhmann, Andreas Köpf , Theo Coombes, Richard Vencu, Benjamin Trom , Romain Beaumont
We present LAION-COCO, the world’s... | 6,264 | [
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sander-wood/irishman | 2023-09-25T15:14:16.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"license:mit",
"music",
"region:us"
] | sander-wood | null | null | 10 | 114 | 2023-01-10T23:42:04 | ---
license: mit
task_categories:
- text-generation
pretty_name: IrishMAN
size_categories:
- 100K<n<1M
tags:
- music
---
If you prefer MIDI or MusicXML, download [IrishMAN-MIDI](https://huggingface.co/datasets/sander-wood/irishman/resolve/main/irishman-midi.zip) or [IrishMAN-XML](https://huggingface.co/datasets/sander... | 5,166 | [
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MohamedRashad/characters_backstories | 2023-04-03T06:42:29.000Z | [
"task_categories:text-generation",
"language:en",
"license:openrail",
"region:us"
] | MohamedRashad | null | null | 2 | 114 | 2023-04-03T05:14:52 | ---
license: openrail
task_categories:
- text-generation
language:
- en
pretty_name: Dungeons & Dragons Characters Backstory
---
This dataset is made from this repo [here](https://github.com/janelleshane/DnD_bios)
and it contains 2322 character bios to be used | 262 | [
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emozilla/proofpile-test-tokenized | 2023-08-09T15:29:52.000Z | [
"region:us"
] | emozilla | null | null | 0 | 114 | 2023-08-09T15:27:50 | ---
dataset_info:
features:
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dtype: string
- name: meta
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sequence: int32
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sequence: int8
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splits:
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num_bytes: 1644067664
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download_size: 5529734... | 532 | [
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tomashs/LSC_acronyms_topic_vectors | 2023-10-05T21:38:49.000Z | [
"region:us"
] | tomashs | null | null | 0 | 114 | 2023-10-05T21:27:56 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
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- na... | 842 | [
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casperhansen/longalpaca_1k_unlimited_test | 2023-10-15T11:49:53.000Z | [
"license:cc-by-nc-4.0",
"region:us"
] | casperhansen | null | null | 0 | 114 | 2023-10-15T11:40:15 | ---
license: cc-by-nc-4.0
---
Dataset preprocessed from https://huggingface.co/datasets/Yukang/LongAlpaca-12k.
This contains 1000 samples that have a minimum length of 16k tokens.
## Script to reproduce
```python
from datasets import load_dataset
from transformers import AutoTokenizer
import pandas as pd
import pya... | 1,465 | [
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llmware/rag_instruct_test_dataset2_financial_0.1 | 2023-10-23T15:01:44.000Z | [
"license:apache-2.0",
"finance",
"retrieval augmented generation",
"RAG",
"region:us"
] | llmware | null | null | 3 | 114 | 2023-10-22T15:19:52 | ---
license: apache-2.0
tags:
- finance
- retrieval augmented generation
- RAG
pretty_name: RAG Instruct Test Dataset 2 - Financial - v0.1
---
# Dataset Card for RAG-Instruct-Financial-Test-Dataset
### Dataset Summary
This is a test dataset for "retrieval augmented generation" (RAG) use cases, especially for financia... | 1,937 | [
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DataGuard/german-guanaco | 2023-10-22T22:23:59.000Z | [
"region:us"
] | DataGuard | null | null | 0 | 114 | 2023-10-22T22:23:52 | ---
dataset_info:
features:
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dtype: string
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tou7and/imdb-truncated-polluted | 2023-10-24T02:52:54.000Z | [
"region:us"
] | tou7and | null | null | 0 | 114 | 2023-10-24T02:35:27 | A polluted version of imdb-truncated.
Errors and distortions are added to trainset and testset, inlcuding input text and labels. | 128 | [
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SetFit/qnli | 2022-02-28T13:29:16.000Z | [
"region:us"
] | SetFit | null | null | 0 | 113 | 2022-03-02T23:29:22 | # Glue QNLI
This dataset is a port of the official [`qnli` dataset](https://huggingface.co/datasets/glue/viewer/qnli/train) on the Hub.
Note that the question and sentence columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
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SetFit/yelp_review_full | 2022-01-19T21:49:57.000Z | [
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dennlinger/klexikon | 2022-10-25T15:03:56.000Z | [
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"size_categories:1K<n<10K",... | dennlinger | null | null | 5 | 113 | 2022-03-02T23:29:22 | ---
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nferruz/UR50_2021_04 | 2022-07-22T13:44:04.000Z | [
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] | nferruz | null | null | 1 | 113 | 2022-03-02T23:29:22 | ---
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---
# Dataset Card for UR50_2021_04
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Desc... | 2,850 | [
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D3xter1922/proofwriter-dataset | 2022-10-04T12:26:37.000Z | [
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copenlu/spiced | 2022-10-24T12:31:04.000Z | [
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"source_datasets:extended|s2orc... | copenlu | null | null | 2 | 113 | 2022-10-20T15:18:50 | ---
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paperswithcode_id: null
pretty_name: SPICED
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keremberke/table-extraction | 2023-01-18T09:43:03.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"Documents",
"region:us"
] | keremberke | null | \ | 8 | 113 | 2023-01-18T09:42:19 | ---
task_categories:
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tags:
- roboflow
- roboflow2huggingface
- Documents
---
<div align="center">
<img width="640" alt="keremberke/table-extraction" src="https://huggingface.co/datasets/keremberke/table-extraction/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
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griffin/ChemSum | 2023-06-01T17:25:14.000Z | [
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"chemistry",
"biology",
"medical",
"arxiv:2305.07615",
"region:us"
] | griffin | null | null | 5 | 113 | 2023-05-10T02:05:05 | ---
task_categories:
- summarization
language:
- en
tags:
- chemistry
- biology
- medical
pretty_name: Generating Abstracts of Academic Chemistry Papers
size_categories:
- 100K<n<1M
---
# Dataset Card for ChemSum
## ChemSum Description
<!---- **Homepage:**
- **Leaderboard:**
----->
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dmayhem93/agieval-sat-math | 2023-06-18T17:32:05.000Z | [
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] | dmayhem93 | null | null | 5 | 113 | 2023-06-18T12:51:24 | ---
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# Dataset Card for "agieval-sat-math"
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hezarai/lscp-pos-500k | 2023-09-02T08:41:54.000Z | [
"task_categories:token-classification",
"language:fa",
"region:us"
] | hezarai | Language recognition has been significantly advanced in recent years by means of modern machine learning methods such as deep learning
and benchmarks with rich annotations. However, research is still limited in low-resource formal languages. This consists of a significant
gap in describing the colloquial language esp... | @inproceedings{abdi-khojasteh-etal-2020-lscp,
title = "{LSCP}: Enhanced Large Scale Colloquial {P}ersian Language Understanding",
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Ansari, Ebrahim and
Bohlouli, Mahdi",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
... | 0 | 113 | 2023-06-25T11:28:38 | ---
task_categories:
- token-classification
language:
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pretty_name: LSCP Dataset (500k samples version)
---
This is a 500 thousand sample version of the original [LSCP dataset](https://iasbs.ac.ir/~ansari/lscp/) that only contains the text and part-of-speech tags and is used for sequence labeling.
### Citation
``... | 852 | [
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joey234/affixal_negation | 2023-10-13T01:33:00.000Z | [
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] | joey234 | null | null | 1 | 113 | 2023-09-21T05:28:43 | ---
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---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
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### Dataset Summary
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LDJnr/Pure-Dove | 2023-09-26T04:29:58.000Z | [
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pretty_name: Pure-Dove
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vlsp-2023-vllm/hellaswag | 2023-10-29T01:02:35.000Z | [
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FinGPT/fingpt-sentiment-train | 2023-10-10T06:28:24.000Z | [
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onestop_qa | 2023-01-25T14:42:12.000Z | [
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booktitle = {ACL},
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} | 4 | 112 | 2022-03-02T23:29:22 | ---
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arjunth2001/online_privacy_qna | 2021-11-10T08:53:10.000Z | [
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bigbio/mlee | 2022-12-22T15:45:39.000Z | [
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"language:en",
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] | bigbio | MLEE is an event extraction corpus consisting of manually annotated abstracts of papers
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title={Event extraction across multiple levels of biological organization},
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year={2012... | 1 | 112 | 2022-11-13T22:10:03 |
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cl-tohoku/quiz-datasets | 2023-05-30T12:27:33.000Z | [
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datadrivenscience/movie-genre-prediction | 2023-06-11T10:12:57.000Z | [
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causal-lm/instructions | 2023-07-27T04:32:33.000Z | [
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-0.07330322265625,
-0.017547607421875,
-0.05181884765625,
... |
dsfsi/vukuzenzele-sentence-aligned | 2023-10-26T07:21:34.000Z | [
"task_categories:sentence-similarity",
"task_categories:translation",
"language:eng",
"language:afr",
"language:nbl",
"language:xho",
"language:zul",
"language:sot",
"language:nso",
"language:tsn",
"language:ssw",
"language:ven",
"language:tso",
"license:cc-by-4.0",
"multilingual",
"go... | dsfsi | The dataset contains editions from the South African government magazine Vuk'uzenzele. Data was scraped from PDFs that have been placed in the data/raw folder. The PDFS were obtained from the Vuk'uzenzele website. | @dataset{marivate_vukosi_2023_7598540, author = {Marivate, Vukosi and Njini, Daniel and Madodonga, Andani and Lastrucci, Richard and Dzingirai, Isheanesu Rajab, Jenalea}, title = {The Vuk'uzenzele South African Multilingual Corpus}, month = feb, year = 2023, publisher = {Zenodo}, doi = {10.5281/zenodo.7598539}, url = {... | 0 | 112 | 2023-07-03T15:38:24 | ---
language:
- eng
- afr
- nbl
- xho
- zul
- sot
- nso
- tsn
- ssw
- ven
- tso
pretty_name: "The Vuk'uzenzele South African Multilingual Corpus"
tags:
- multilingual
- government
license: "cc-by-4.0"
task_categories:
- sentence-similarity
- translation
arxiv: 2303.03750
---
# The Vuk'uzenzele South African Multiling... | 4,871 | [
[
-0.025238037109375,
-0.0202178955078125,
0.0264892578125,
0.026641845703125,
-0.0279388427734375,
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-0.01497650146484375,
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0.04248046875,
0.040435791015625,
-0.034332275390625,
-0.049591064453125,
-0.042144775390625,
0... |
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