id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
lighteval/EntityMatching | 2023-05-09T15:35:01.000Z | [
"region:us"
] | lighteval | null | @inproceedings{mudgal2018deep,
title={Deep learning for entity matching: A design space exploration},
author={Mudgal, Sidharth and Li, Han and Rekatsinas, Theodoros and Doan, AnHai and Park, Youngchoon and Krishnan, Ganesh and Deep, Rohit and Arcaute, Esteban and Raghavendra, Vijay},
booktitle={Proceedings of the... | null | 2 | 258 | Entry not found |
zuzannad1/pixelsum_wiki | 2023-09-13T11:42:49.000Z | [
"region:us"
] | zuzannad1 | null | null | null | 0 | 258 | ---
dataset_info:
features:
- name: example
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 7401808572
num_examples: 6458670
download_size: 4591048930
dataset_size: 7401808572
---
# Dataset Card for "pixelsum_wiki"
[More Information needed](https://github.com/... |
open-llm-leaderboard/details_tiiuae__falcon-40b | 2023-09-08T21:43:17.000Z | [
"region:us"
] | open-llm-leaderboard | null | null | null | 0 | 258 | ---
pretty_name: Evaluation run of tiiuae/falcon-40b
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) on the [Open LLM\
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe data... |
HumanCompatibleAI/ppo-seals-Hopper-v1 | 2023-09-27T07:06:10.000Z | [
"region:us"
] | HumanCompatibleAI | null | null | null | 0 | 258 | ---
dataset_info:
features:
- name: obs
sequence:
sequence: float64
- name: acts
sequence:
sequence: float32
- name: infos
sequence: string
- name: terminal
dtype: bool
- name: rews
sequence: float32
splits:
- name: train
num_bytes: 57153894
num_examples: 104
do... |
sanchit-gandhi/whisper-jax-test-files | 2023-04-19T12:07:08.000Z | [
"region:us"
] | sanchit-gandhi | null | null | null | 2 | 257 | ---
dataset_info:
features:
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 271658381.0
num_examples: 2
download_size: 113444578
dataset_size: 271658381.0
---
# Dataset Card for "whisper-jax-test-files"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONT... |
llama2d/llama2d-mind2web | 2023-10-08T06:44:55.000Z | [
"region:us"
] | llama2d | null | null | null | 0 | 257 | ---
dataset_info:
features:
- name: input_ids
sequence: float32
- name: coords
sequence:
sequence: float32
- name: labels
sequence: float32
- name: attention_mask
sequence: float32
splits:
- name: train
num_bytes: 106211392
num_examples: 2212
download_size: 12910313
datas... |
indonlp/indonlu | 2023-02-03T05:49:02.000Z | [
"task_categories:question-answering",
"task_categories:text-classification",
"task_categories:token-classification",
"task_ids:closed-domain-qa",
"task_ids:multi-class-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"task_ids:semantic-similarity-classification",
"tas... | indonlp | The IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for Bahasa Indonesia. | @inproceedings{wilie2020indonlu,
title = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},
authors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and... | null | 24 | 256 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- id
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
- 1K<n<10K
- n<1K
source_datasets:
- original
task_categories:
- question-answering
- text-classification
- token-classification
task_ids:
- close... |
meta_woz | 2022-11-18T21:28:56.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:dialogue-modeling",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"arxiv:200... | null | MetaLWOz: A Dataset of Multi-Domain Dialogues for the Fast Adaptation of Conversation Models. We introduce the Meta-Learning Wizard of Oz (MetaLWOz) dialogue dataset for developing fast adaptation methods for conversation models. This data can be used to train task-oriented dialogue models, specifically to develop meth... | @InProceedings{shalyminov2020fast,
author = {Shalyminov, Igor and Sordoni, Alessandro and Atkinson, Adam and Schulz, Hannes},
title = {Fast Domain Adaptation For Goal-Oriented Dialogue Using A Hybrid Generative-Retrieval Transformer},
booktitle = {2020 IEEE International Conference on Acoustics, Speech and Signal Proce... | null | 3 | 256 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- other
license_details: Microsoft Research Data License Agreement
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- dialog... |
P1ayer-1/eli5 | 2023-06-15T17:02:30.000Z | [
"region:us"
] | P1ayer-1 | null | null | null | 0 | 256 | Entry not found |
yzhuang/autotree_automl_10000_california_sgosdt_l256_dim8_d3_sd0 | 2023-09-07T03:44:46.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 256 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
asnq | 2023-05-16T08:28:22.000Z | [
"task_categories:multiple-choice",
"task_ids:multiple-choice-qa",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:extended|natural_questions",
"language:en",
"license:cc-by-nc-sa-3.0",
"arxiv:1911.04118",... | null | ASNQ is a dataset for answer sentence selection derived from
Google's Natural Questions (NQ) dataset (Kwiatkowski et al. 2019).
Each example contains a question, candidate sentence, label indicating whether or not
the sentence answers the question, and two additional features --
sentence_in_long_answer and short_answe... | @article{garg2019tanda,
title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},
author={Siddhant Garg and Thuy Vu and Alessandro Moschitti},
year={2019},
eprint={1911.04118},
} | null | 1 | 255 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-nc-sa-3.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- extended|natural_questions
task_categories:
- multiple-choice
task_ids:
- multiple-choice-qa
paperswithcode_id: asnq
pretty_name: ... |
mt_eng_vietnamese | 2022-11-18T21:30:45.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"language:vi",
"license:unknown",
"region:us"
] | null | Preprocessed Dataset from IWSLT'15 English-Vietnamese machine translation: English-Vietnamese. | @inproceedings{Luong-Manning:iwslt15,
Address = {Da Nang, Vietnam}
Author = {Luong, Minh-Thang and Manning, Christopher D.},
Booktitle = {International Workshop on Spoken Language Translation},
Title = {Stanford Neural Machine Translation Systems for Spoken Language Domain},
Yea... | null | 12 | 255 | ---
annotations_creators:
- found
language_creators:
- found
multilinguality:
- multilingual
language:
- en
- vi
license:
- unknown
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: null
pretty_name: MtEngVietnamese
dataset_info:
- config_name: iwslt... |
vivos | 2023-06-14T08:29:21.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:vi",
"license:cc-by-nc-sa-4.0",
"regio... | null | \
VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for
Vietnamese Automatic Speech Recognition task.
The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of.
We publish this corpus in hope to attrac... | \
@inproceedings{luong-vu-2016-non,
title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System",
author = "Luong, Hieu-Thi and
Vu, Hai-Quan",
booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open... | null | 5 | 255 | ---
pretty_name: VIVOS
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- vi
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids: []
dataset_inf... |
nielsr/cord-layoutlmv3 | 2022-05-02T16:41:30.000Z | [
"region:us"
] | nielsr | https://github.com/clovaai/cord/ | @article{park2019cord,
title={CORD: A Consolidated Receipt Dataset for Post-OCR Parsing},
author={Park, Seunghyun and Shin, Seung and Lee, Bado and Lee, Junyeop and Surh, Jaeheung and Seo, Minjoon and Lee, Hwalsuk}
booktitle={Document Intelligence Workshop at Neural Information Processing Systems}
year={2019}
} | null | 2 | 255 | Entry not found |
laion/laion1B-nolang-aesthetic | 2022-05-22T13:40:12.000Z | [
"region:us"
] | laion | null | null | null | 0 | 255 | Entry not found |
lighteval/LegalSupport | 2023-05-10T09:20:03.000Z | [
"region:us"
] | lighteval | null | null | null | 1 | 255 | Entry not found |
burkelibbey/colors | 2023-07-14T18:58:16.000Z | [
"license:mit",
"region:us"
] | burkelibbey | null | null | null | 6 | 255 | ---
license: mit
---
|
discofuse | 2023-04-05T10:04:50.000Z | [
"task_categories:text2text-generation",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"sentence-fusion",
"arxiv:1902.10526",
"region:us"
] | null | DISCOFUSE is a large scale dataset for discourse-based sentence fusion. | @InProceedings{GevaEtAl2019,
title = {DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion},
author = {Geva, Mor and Malmi, Eric and Szpektor, Idan and Berant, Jonathan},
booktitle = {Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Lingu... | null | 3 | 254 | ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- found
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
pretty_name: DiscoFuse
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
paperswithcode_id: discofuse
tags:
- senten... |
alistvt/coqa-stories | 2022-01-20T22:17:46.000Z | [
"region:us"
] | alistvt | null | null | null | 1 | 254 | This is a dataset containing just stories of the CoQA dataset with their respective ids. This can be used in the pretraining phase for the MLM tasks. |
mteb/twitterurlcorpus-pairclassification | 2022-04-19T10:29:01.000Z | [
"region:us"
] | mteb | null | null | null | 0 | 254 | Entry not found |
PNLPhub/FarsTail | 2023-07-09T07:39:52.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:fa",
"license:apache-2.0",
"arxiv:2009.08820",
"region:us"
] | PNLPhub | \\\\\\\A Persian Natural Language Inference Dataset | \@article{amirkhani2020farstail,
title={FarsTail: A Persian Natural Language Inference Dataset},
author={Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Soroush Faridan Jahromi, and Zeinab Kouhkan},
journal={arXiv preprint arXiv:2009.08820},
year={2020}
} | null | 0 | 254 | ---
license: apache-2.0
task_categories:
- text-classification
language:
- fa
size_categories:
- 1K<n<10K
---
## Dataset Description
- **Repository:https://github.com/dml-qom/FarsTail**
- **Paper:https://arxiv.org/abs/2009.08820**
### Dataset Summary
Persian (Farsi) language is a pluricentric language spoken by a... |
bigbio/n2c2_2018_track2 | 2022-12-22T15:46:01.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The National NLP Clinical Challenges (n2c2), organized in 2018, continued the
legacy of i2b2 (Informatics for Biology and the Bedside), adding 2 new tracks and 2
new sets of data to the shared tasks organized since 2006. Track 2 of 2018
n2c2 shared tasks focused on the extraction of medications, with their signature
in... | @article{DBLP:journals/jamia/HenryBFSU20,
author = {
Sam Henry and
Kevin Buchan and
Michele Filannino and
Amber Stubbs and
Ozlem Uzuner
},
title = {2018 n2c2 shared task on adverse drug events and medication extrac... | null | 2 | 253 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: DUA
pretty_name: n2c2 2018 ADE
homepage: https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
bigbio_pubmed: False
bigbio_public: False
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- RELATION_EXTRACTION... |
kor_ner | 2023-01-25T14:33:50.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ko",
"license:mit",
"region:us"
] | null | Korean named entity recognition dataset | @InProceedings{Kim:2016,
title = "Korean Named Entity Recognition Dataset",
authors = "Jae-Hoon Kim",
publisher = "GitHub",
year = "2016"
} | null | 1 | 252 | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- ko
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: KorNER
dataset_info:
features:
- name... |
mstz/electricity | 2023-04-16T17:30:58.000Z | [
"task_categories:tabular-classification",
"size_categories:10k<n<100K",
"language:en",
"license:cc",
"electricity",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 1 | 252 | ---
language:
- en
tags:
- electricity
- tabular_classification
- binary_classification
- UCI
pretty_name: Electricity
size_categories:
- 10k<n<100K
task_categories:
- tabular-classification
configs:
- electricity
license: cc
---
# Electricity
The [Electricity dataset](https://www.openml.org/search?type=data&sort=runs&... |
RIW/small-coco-wm_1 | 2023-07-03T10:30:07.000Z | [
"region:us"
] | RIW | null | null | null | 0 | 252 | ---
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
- name: url
dtype: string
- name: key
dtype: string
- name: status
dtype: string
- name: error_message
dtype: 'null'
- name: width
dtype: int64
- name: height
dtype: int64
- name: ori... |
qed | 2022-11-03T16:31:09.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|natural_questions",
"language:en",
"license:unknown",
"explanations-in-question-a... | null | QED, is a linguistically informed, extensible framework for explanations in question answering. A QED explanation specifies the relationship between a question and answer according to formal semantic notions such as referential equality, sentencehood, and entailment. It is an expertannotated dataset of QED explanations... | @misc{lamm2020qed,
title={QED: A Framework and Dataset for Explanations in Question Answering},
author={Matthew Lamm and Jennimaria Palomaki and Chris Alberti and Daniel Andor and Eunsol Choi and Livio Baldini Soares and Michael Collins},
year={2020},
eprint={2009.06354},
archivePrefix={arXiv},
... | null | 2 | 251 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|natural_questions
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: qed
pretty_name: QED
tags:... |
Muennighoff/natural-instructions | 2022-12-23T20:08:44.000Z | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"language:en",
"region:us"
] | Muennighoff | null | null | null | 19 | 251 | ---
annotations_creators:
- crowdsourced
- expert-generated
language:
- en
multilinguality:
- monolingual
size_categories:
- 100M<n<1B
task_categories:
- other
---
Preprocessed version of Super-Natural-Instructions from https://github.com/allenai/natural-instructions/tree/master/splits. The same inputs may appear with ... |
nbertagnolli/counsel-chat | 2023-06-17T17:55:38.000Z | [
"region:us"
] | nbertagnolli | null | null | null | 6 | 251 | # Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... |
vjain/anxiety | 2023-05-29T13:22:07.000Z | [
"license:openrail",
"region:us"
] | vjain | null | null | null | 0 | 251 | ---
license: openrail
---
|
pleisto/wikipedia-cn-20230720-filtered | 2023-07-23T10:06:15.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:cc-by-sa-3.0",
"wikipedia",
"region:us"
] | pleisto | null | null | null | 66 | 251 | ---
license: cc-by-sa-3.0
task_categories:
- text-generation
language:
- zh
tags:
- wikipedia
size_categories:
- 100K<n<1M
---
本数据集基于中文维基2023年7月20日的dump存档。作为一项以数据为中心的工作，本数据集仅保留了 `254,547条` 质量较高的词条内容。具体而言：
* 过滤了Template, Category, Wikipedia, File, Topic, Portal, MediaWiki, Draft, Help等特殊类型的词条
* 使用启发式的方法和自有的NLU模型过滤了一部分质... |
findnitai/english-to-hinglish | 2023-06-21T05:02:50.000Z | [
"task_categories:translation",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:hi",
"language:en",
"license:apache-2.0",
"region:us"
] | findnitai | null | null | null | 2 | 250 | ---
license: apache-2.0
task_categories:
- translation
- text-generation
language:
- hi
- en
size_categories:
- 10K<n<100K
pretty_name: Hinglish
---
English to Hinglish Dataset aggregated from publicly available datasources.
Sources:
1. Hinglish TOP Dataset
2. CMU English Dog
3. HinGE
4. PHINC
source : 1 - Human Ann... |
zxvix/c4_subset | 2023-09-20T05:35:42.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 250 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: timestamp
dtype: timestamp[s]
- name: url
dtype: string
splits:
- name: train
num_bytes: 2250873538.71628... |
nielsr/FUNSD_layoutlmv2 | 2022-10-25T09:51:20.000Z | [
"language:en",
"arxiv:1905.13538",
"region:us"
] | nielsr | https://guillaumejaume.github.io/FUNSD/ | @article{Jaume2019FUNSDAD,
title={FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents},
author={Guillaume Jaume and H. K. Ekenel and J. Thiran},
journal={2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)},
year={2019},
volume={2},
pages={1-6}
} | null | 4 | 249 | ---
language:
- en
paperswithcode_id: funsd
---
# Dataset Card for "FUNSD"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... |
NicolaiSivesind/ChatGPT-Research-Abstracts | 2023-05-11T17:00:58.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100k",
"language:en",
"license:cc",
"chatgpt",
"gpt",
"research abstracts",
"region:us"
] | NicolaiSivesind | null | null | null | 3 | 249 | ---
license: cc
task_categories:
- text-classification
pretty_name: ChatGPT Research Abstracts - Labled text segments produced by humans and ChatGPT
size_categories:
- 10K<n<100k
language:
- en
tags:
- chatgpt
- gpt
- research abstracts
---
# ChatGPT-Research-Abstracts
This is a dataset created in relation to a bachelo... |
makaveli10/whisper-hi-preprocessed | 2023-09-27T21:50:46.000Z | [
"region:us"
] | makaveli10 | null | null | null | 0 | 249 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: input_features
sequence:
sequence: float32
- name: input_length
dtype: float64
- name: labels
sequence: int64
splits:
- name: trai... |
nuprl/MultiPL-E-synthetic-solutions | 2023-02-18T02:03:12.000Z | [
"language:en",
"license:openrail",
"region:us"
] | nuprl | null | null | null | 0 | 248 | ---
dataset_info:
features:
- name: name
dtype: string
- name: language
dtype: string
- name: prompt
dtype: string
- name: solution
dtype: string
splits:
- name: train
num_bytes: 2185285
num_examples: 2624
download_size: 891673
dataset_size: 2185285
license: openrail
language:
... |
celikmus/mayo_clinic_symptoms_and_diseases_v1 | 2023-07-16T19:37:52.000Z | [
"language:en",
"region:us"
] | celikmus | null | null | null | 5 | 248 | ---
language: en
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 1321926
num_examples: 1058
download_size: 626009
dataset_size: 1321926
---
# Dataset Card for "mayo_clinic_symptoms_and_diseases_v1"
[More Information needed](h... |
mstz/covertype | 2023-05-29T10:09:11.000Z | [
"task_categories:tabular-classification",
"size_categories:100K<n<1M",
"language:en",
"license:cc",
"biology",
"UCI",
"binary_classification",
"multiclass_classification",
"region:us"
] | mstz | null | @misc{misc_covertype_31,
author = {Blackard,Jock},
title = {{Covertype}},
year = {1998},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C50K5N}}
} | null | 0 | 248 | ---
task_categories:
- tabular-classification
language:
- en
tags:
- biology
- UCI
- binary_classification
- multiclass_classification
pretty_name: Covertype
size_categories:
- 100K<n<1M
license: cc
---
# Covertype
Classification of pixels into 7 forest cover types based on attributes such as elevation, aspect, slope, ... |
OleehyO/latex-formulas | 2023-08-15T17:24:50.000Z | [
"task_categories:image-to-text",
"license:openrail",
"region:us"
] | OleehyO | null | null | null | 9 | 248 | ---
license: openrail
task_categories:
- image-to-text
---
# Dataset Description
> English version is [here](./README_English.md)
这里有两个数据集：*raw_formulas*和*tokenized_formulas*。
我们在*arxiv*上爬取了约100万条未经过清洗以及文本分词的latex公式的图片文本对从而得到了*raw_formulas*数据集。在将*raw_formulas*数据集进行**清洗**以及**文本分词**后得到了*tokenized_formulas*数据集。
渲染公式对应... |
humicroedit | 2023-06-01T14:59:51.000Z | [
"task_categories:text-classification",
"task_ids:text-scoring",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",... | null | This new dataset is designed to assess the funniness of edited news headlines. | @article{hossain2019president,
title={" President Vows to Cut< Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines},
author={Hossain, Nabil and Krumm, John and Gamon, Michael},
journal={arXiv preprint arXiv:1906.00274},
year={2019}
} | null | 1 | 247 | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- text-scoring
paperswithcode_id: humicroedit
pretty_n... |
sanchit-gandhi/gtzan | 2023-06-23T13:48:10.000Z | [
"region:us"
] | sanchit-gandhi | null | null | null | 0 | 247 | ---
dataset_info:
features:
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 32000
- name: genre
dtype:
class_label:
names:
'0': blues
'1': classical
'2': country
'3': disco
'4': hiphop
'5': ... |
wisesight_sentiment | 2023-01-25T15:02:42.000Z | [
"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:th",
"license:cc0-1.0",
"region:us"
] | null | Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment category (positive, neutral, negative, question)
* Released to public domain under Creative Commons Zero v1.0 Universal license.
* Category (Labels): {"pos": 0, "neu": 1, "neg": 2, "q": 3}
* Size: 26,737 messages
* Language: Central Thai
... | @software{bact_2019_3457447,
author = {Suriyawongkul, Arthit and
Chuangsuwanich, Ekapol and
Chormai, Pattarawat and
Polpanumas, Charin},
title = {PyThaiNLP/wisesight-sentiment: First release},
month = sep,
year = 2019,
publisher... | null | 6 | 246 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- th
license:
- cc0-1.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: WisesightSentiment
dataset_info:
f... |
GEM/xsum | 2022-10-24T15:31:30.000Z | [
"task_categories:summarization",
"annotations_creators:none",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | GEM | This is the XSUM subset of the GEM benchmark. | @inproceedings{narayan-etal-2018-dont,
title = "Don{'}t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization",
author = "Narayan, Shashi and
Cohen, Shay B. and
Lapata, Mirella",
booktitle = "Proceedings of the 2018 Conference on Empirical M... | null | 0 | 246 | ---
annotations_creators:
- none
language_creators:
- unknown
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: xsum
---
# Dataset Card for GEM/xsum
## Dataset Description
- **Homepage:**... |
mteb/twittersemeval2015-pairclassification | 2022-04-19T10:46:11.000Z | [
"region:us"
] | mteb | null | null | null | 0 | 246 | Entry not found |
ai-forever/spellcheck_benchmark | 2023-10-04T16:13:44.000Z | [
"task_categories:text-generation",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<20k",
"language:ru",
"license:mit",
"spellcheck",
"russian",
"arxiv:2308.09435",
"region:us"
] | ai-forever | Russian Spellcheck Benchmark is a new benchmark for spelling correction in Russian language.
It includes four datasets, each of which consists of pairs of sentences in Russian language.
Each pair embodies sentence, which may contain spelling errors, and its corresponding correction.
... | # TODO: add citation | null | 2 | 246 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ru
license: mit
multilinguality:
- monolingual
size_categories:
- 10K<n<20k
task_categories:
- text-generation
pretty_name: Russian Spellcheck Benchmark
language_bcp47:
- ru-RU
tags:
- spellcheck
- russian
---
# Dataset Card for Rus... |
jphme/ger_micro_benchmark | 2023-09-18T21:15:10.000Z | [
"region:us"
] | jphme | null | null | null | 0 | 246 | ---
configs:
- config_name: default
data_files:
- split: eval
path: data/eval-*
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: subject
dtype: string
splits:
- name: eval
num_bytes: 69430
num_examples: 200
download_size: 39957
dataset_... |
nahyeon00/stackoverflow | 2023-07-19T08:48:07.000Z | [
"region:us"
] | nahyeon00 | null | null | null | 0 | 245 | Entry not found |
SetFit/qqp | 2022-02-28T11:10:11.000Z | [
"region:us"
] | SetFit | null | null | null | 4 | 244 | # Glue QQP
This dataset is a port of the official [`qqp` dataset](https://huggingface.co/datasets/glue/viewer/qqp/train) on the Hub.
Note that the question1 and question2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
mstz/australian_credit | 2023-04-15T11:11:01.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"australian_credit",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_statlog_(australian_credit_approval)_143,
author = {Quinlan,Ross},
title = {{Statlog (Australian Credit Approval)}},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C59012}}
} | null | 0 | 244 | ---
language:
- en
tags:
- australian_credit
- tabular_classification
- binary_classification
- UCI
pretty_name: Australian Credit
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- australian_credit
license: cc
---
# Australian Credit
The [Australian Credit](https://archive-beta.ics.uci.edu/d... |
Babelscape/REDFM | 2023-06-20T07:33:35.000Z | [
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:ar",
"language:de",
"language:en",
"language:es",
"language:it",
"language:fr",
"language:zh",
"license:cc-by-sa-4.0",
"arxiv:2306.09802",
"region:us"
] | Babelscape | Relation Extraction (RE) is a task that identifies relationships between entities in a text, enabling the acquisition of relational facts and bridging the gap between natural language and structured knowledge. However, current RE models often rely on small datasets with low coverage of relation types, particularly when... | @InProceedings{redfm2023,
author = {Huguet Cabot, Pere-Lluis
and Tedeschi, Simone
and Ngonga Ngomo, Axel-Cyrille
and Navigli, Roberto},
title = {RED\textsuperscript{FM}: a Filtered and Multilingual Relation Extraction Dataset},
booktitle = {Proceedings of the 202... | null | 4 | 244 | ---
dataset_info:
- config_name: ar
features:
- name: docid
dtype: string
- name: title
dtype: string
- name: uri
dtype: string
- name: text
dtype: string
- name: entities
list:
- name: uri
dtype: string
- name: surfaceform
dtype: string
- name: type
dtype: ... |
hate_offensive | 2023-01-25T14:31:32.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"hate-speech-detection",
... | null | null | @article{article,
author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
year = {2017},
month = {03},
pages = {},
title = {Automated Hate Speech Detection and the Problem of Offensive Language}
} | null | 6 | 243 | ---
annotations_creators:
- crowdsourced
language_creators:
- machine-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
paperswithcode_id: hate-speech-and-offensiv... |
teticio/audio-diffusion-256 | 2022-11-09T10:49:48.000Z | [
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"audio",
"spectrograms",
"region:us"
] | teticio | null | null | null | 3 | 243 | ---
annotations_creators: []
language: []
language_creators: []
license: []
multilinguality: []
pretty_name: Mel spectrograms of music
size_categories:
- 10K<n<100K
source_datasets: []
tags:
- audio
- spectrograms
task_categories:
- image-to-image
task_ids: []
---
Over 20,000 256x256 mel spectrograms of 5 second sample... |
bongsoo/news_talk_en_ko | 2022-10-05T00:09:50.000Z | [
"language:ko",
"license:apache-2.0",
"region:us"
] | bongsoo | null | null | null | 1 | 243 | ---
language:
- ko
license: apache-2.0
---
- 뉴스&일상대화 en-ko 번역 말뭉치 |
mstz/compas | 2023-04-23T13:57:50.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"compas",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 1 | 243 | ---
language:
- en
tags:
- compas
- tabular_classification
- binary_classification
- UCI
pretty_name: Compas
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- encoding
- two-years-recidividity
- two-years-recidividity-no-race
- priors-prediction
- priors-prediction-no-race
- race
license:... |
mstz/breast | 2023-04-16T16:47:59.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"breast",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @article{wolberg1990multisurface,
title={Multisurface method of pattern separation for medical diagnosis applied to breast cytology.},
author={Wolberg, William H and Mangasarian, Olvi L},
journal={Proceedings of the national academy of sciences},
volume={87},
number={23},
pages={9193--9196},
year={1990},
... | null | 1 | 243 | ---
language:
- en
tags:
- breast
- tabular_classification
- binary_classification
- UCI
pretty_name: Breast
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- cancer
license: cc
---
# Breast cancer
The [Breast cancer dataset](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28... |
nimaster/Devign_for_VD | 2023-03-27T20:21:00.000Z | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"region:us"
] | nimaster | null | null | null | 0 | 243 | ---
task_categories:
- text-classification
size_categories:
- 10K<n<100K
--- |
mstz/blood | 2023-04-15T11:37:04.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"blood",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_blood_transfusion_service_center_176,
author = {Yeh,I-Cheng},
title = {{Blood Transfusion Service Center}},
year = {2008},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5GS39}}
} | null | 0 | 243 | ---
language:
- en
tags:
- blood
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Blood Transfusion
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- blood
license: cc
---
# Blood
The [Blood Transfusion dataset](https://archive-beta.ics.uci.edu/d... |
result-kand2-sdxl-wuerst-karlo/ec996d80 | 2023-09-30T13:14:29.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 243 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 217
num_examples: 10
download_size: 1370
dataset_size: 217
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ec996d8... |
mstz/contraceptive | 2023-04-16T17:03:10.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"contraceptive",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_contraceptive_method_choice_30,
author = {Lim,Tjen-Sien},
title = {{Contraceptive Method Choice}},
year = {1997},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C59W2D}}
} | null | 0 | 242 | ---
language:
- en
tags:
- contraceptive
- tabular_classification
- binary_classification
- UCI
pretty_name: Contraceptive evaluation
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- contraceptive
license: cc
---
# Contraceptive
The [Contraceptive dataset](https://archive-beta.ics.uci.ed... |
zxvix/pubmed_nonbiomedical_2 | 2023-09-06T08:44:14.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 242 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: MedlineCitation
struct:
- name: PMID
dtype: int32
- name: DateCompleted
struct:
- name: Year
dtype: int32
- name: Month
dtype: int32
- nam... |
jigsaw_toxicity_pred | 2023-01-25T14:33:17.000Z | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"annotations_creators:crowdsourced",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc0-1.0",
"region:us"
] | null | This dataset consists of a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. | null | null | 15 | 241 | ---
annotations_creators:
- crowdsourced
language_creators:
- other
language:
- en
license:
- cc0-1.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-label-classification
pretty_name: JigsawToxicityPred
dataset_info:
feat... |
mstz/car | 2023-04-16T16:55:11.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"car",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_car_evaluation_19,
author = {Bohanec,Marko},
title = {{Car Evaluation}},
year = {1997},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5JP48}}
} | null | 0 | 241 | ---
language:
- en
tags:
- car
- tabular_classification
- binary_classification
- UCI
pretty_name: Car evaluation
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- car
license: cc
---
# Car
The [Car dataset](https://archive-beta.ics.uci.edu/dataset/19/car+evaluation) from the [UCI repository]... |
C-MTEB/CovidRetrieval | 2023-07-28T09:44:36.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 241 | ---
configs:
- config_name: default
data_files:
- split: corpus
path: data/corpus-*
- split: queries
path: data/queries-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 91531256
num_examples: 100001
- name: queries
... |
result-kand2-sdxl-wuerst-karlo/289673e1 | 2023-09-30T13:18:28.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 241 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 168
num_examples: 10
download_size: 1327
dataset_size: 168
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "289673e... |
allenai/scifact | 2022-11-18T21:44:10.000Z | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-2.0",
"region:us"
] | allenai | SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales. | @inproceedings{Wadden2020FactOF,
title={Fact or Fiction: Verifying Scientific Claims},
author={David Wadden and Shanchuan Lin and Kyle Lo and Lucy Lu Wang and Madeleine van Zuylen and Arman Cohan and Hannaneh Hajishirzi},
booktitle={EMNLP},
year={2020},
} | null | 5 | 240 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- cc-by-nc-2.0
multilinguality:
- monolingual
pretty_name: SciFact
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- fact-checking
paperswithcode_id: scifact
dataset_i... |
wiki_movies | 2022-11-18T22:00:27.000Z | [
"task_categories:question-answering",
"task_ids:closed-domain-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-3.0",
"arxiv:1606.03126",
"region:us"
] | null | The WikiMovies dataset consists of roughly 100k (templated) questions over 75k entities based on questions with answers in the open movie database (OMDb). | @misc{miller2016keyvalue,
title={Key-Value Memory Networks for Directly Reading Documents},
author={Alexander Miller and Adam Fisch and Jesse Dodge and Amir-Hossein Karimi and Antoine Bordes and Jason Weston},
year={2016},
eprint={1606.03126},
archivePrefix={arXiv},
primaryClass={cs.... | null | 2 | 240 | ---
pretty_name: WikiMovies
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
paperswithcode_id: wikimovies
... |
bigbio/scifact | 2022-12-22T15:46:44.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-2.0",
"region:us"
] | bigbio | {_DESCRIPTION_BASE} This config connects the claims to the evidence and doc ids. | @article{wadden2020fact,
author = {David Wadden and Shanchuan Lin and Kyle Lo and Lucy Lu Wang and Madeleine van Zuylen and Arman Cohan and Hannaneh Hajishirzi},
title = {Fact or Fiction: Verifying Scientific Claims},
year = {2020},
address = {Online},
publisher = {Association for Computational ... | null | 0 | 240 |
---
language:
- en
bigbio_language:
- English
license: cc-by-nc-2.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_NC_2p0
pretty_name: SciFact
homepage: https://scifact.apps.allenai.org/
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- TEXT_PAIRS_CLASSIFICATION
---
# Dataset Card for SciFact... |
heegyu/bbq | 2023-07-14T10:58:55.000Z | [
"license:cc-by-4.0",
"region:us"
] | heegyu |
The BBQ dataset is from the following paper:
https://arxiv.org/pdf/2110.08193.pdf
In BBQ, each example appears with two questions
that reflect a negative or harmful bias: one asks for
the target of a harmful stereotype (e.g., "who steals
things?"), and the other asks for the other non-targeted entity
(e.g., "who neve... | @misc{parrish2022bbq,
title={BBQ: A Hand-Built Bias Benchmark for Question Answering},
author={Alicia Parrish and Angelica Chen and Nikita Nangia and Vishakh Padmakumar and Jason Phang and Jana Thompson and Phu Mon Htut and Samuel R. Bowman},
year={2022},
eprint={2110.08193},
archivePrefi... | null | 1 | 240 | ---
license: cc-by-4.0
---
# BBQ
Repository for the Bias Benchmark for QA dataset.
https://github.com/nyu-mll/BBQ
Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R. Bowman.
## About BBQ (paper abstract)
It is well documented that NLP mod... |
nahyeon00/banking | 2023-07-19T08:46:20.000Z | [
"region:us"
] | nahyeon00 | null | null | null | 0 | 240 | Entry not found |
nahyeon00/oos | 2023-07-19T08:47:09.000Z | [
"region:us"
] | nahyeon00 | null | null | null | 0 | 240 | Entry not found |
meczifho/WikiNER | 2023-08-18T07:10:14.000Z | [
"region:us"
] | meczifho | \ | null | 0 | 240 | Entry not found | |
shahules786/orca-best | 2023-08-25T14:48:40.000Z | [
"region:us"
] | shahules786 | null | null | null | 39 | 240 | ---
dataset_info:
features:
- name: cluster
struct:
- name: samples
list:
- name: input
dtype: string
- name: output
dtype: string
- name: source
dtype: string
- name: instruction
dtype: string
- name: num_samples
dtype: int64
splits:
- name: train
... |
mstz/bank | 2023-04-15T11:16:43.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"compas",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 0 | 239 | ---
language:
- en
tags:
- compas
- tabular_classification
- binary_classification
- UCI
pretty_name: Bank
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- encoding
- subscription
---
# Bank
The [Bank dataset](https://archive.ics.uci.edu/ml/datasets/bank+marketing) from the [UCI ML repos... |
simlaharma/processed_bert_dataset | 2023-09-13T17:43:40.000Z | [
"region:us"
] | simlaharma | null | null | null | 0 | 239 | Entry not found |
pn_summary | 2023-01-25T14:42:36.000Z | [
"task_categories:summarization",
"task_categories:text-classification",
"task_ids:news-articles-summarization",
"task_ids:news-articles-headline-generation",
"task_ids:text-simplification",
"task_ids:topic-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:mon... | null | A well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abstractive/Extractive tasks (like cnn_dailymail for English). It can also be used in other scopes like Text Generation, Title Generation, and News Category Classification.
It is imperative to consider that t... | @article{pnSummary, title={Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization},
author={Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri},
year={2020},
eprint={2012.11204},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | null | 4 | 238 | ---
annotations_creators:
- found
language_creators:
- found
language:
- fa
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
- text-classification
task_ids:
- news-articles-summarization
- news-articles-headline-generation
- text-si... |
Aniemore/resd_annotated | 2023-07-14T07:59:51.000Z | [
"task_categories:audio-classification",
"size_categories:1K<n<10K",
"language:ru",
"license:mit",
"voice",
"emotions",
"annotated",
"classification",
"region:us"
] | Aniemore | null | null | null | 2 | 238 | ---
language: ru
dataset_info:
features:
- name: name
dtype: string
- name: path
dtype: string
- name: speech
dtype: audio
- name: text
dtype: string
- name: emotion
dtype: string
splits:
- name: train
num_bytes: 398878916.336
num_examples: 1116
- name: test
num_bytes: ... |
Francesco/excavators-czvg9 | 2023-03-30T09:33:23.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | null | 0 | 238 | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
lengt... |
C-MTEB/CmedqaRetrieval | 2023-07-28T09:40:17.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 238 | ---
configs:
- config_name: default
data_files:
- split: corpus
path: data/corpus-*
- split: queries
path: data/queries-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 84962605
num_examples: 100001
- name: queries
... |
zxvix/pubmed_casual_2 | 2023-09-06T08:58:18.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 238 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: MedlineCitation
struct:
- name: PMID
dtype: int32
- name: DateCompleted
struct:
- name: Year
dtype: int32
- name: Month
dtype: int32
- nam... |
newspop | 2022-11-03T16:31:06.000Z | [
"task_categories:text-classification",
"task_ids:text-scoring",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"social-media-shares-prediction",
"arxiv:18... | null | This is a large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn.
The collected data relates to a period of 8 months, between November 2015 and July 2016, accounting for about 100,000 news items on four different topics: economy, microsoft, obama and pale... | @article{Moniz2018MultiSourceSF,
title={Multi-Source Social Feedback of Online News Feeds},
author={N. Moniz and L. Torgo},
journal={ArXiv},
year={2018},
volume={abs/1801.07055}
} | null | 2 | 237 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- text-scoring
paperswithcode_id: null
pretty_name: News Popularity in Multipl... |
TUKE-DeutscheTelekom/skquad | 2022-12-05T14:10:32.000Z | [
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"task_ids:document-retrieval",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categor... | TUKE-DeutscheTelekom | Slovak Question Answering Dataset | TBD | null | 3 | 237 | ---
annotations_creators:
- crowdsourced
language:
- sk
language_creators:
- crowdsourced
- found
license:
- cc-by-sa-4.0
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: squad
pretty_name: skquad
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- wikipedia
task_categories:
- question-answer... |
mstz/balance_scale | 2023-04-15T11:14:55.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"balance_scale",
"tabular_classification",
"multiclass_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_balance_scale_12,
title = {{Balance Scale}},
year = {1994},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5488X}}
} | null | 0 | 237 | ---
language:
- en
tags:
- balance_scale
- tabular_classification
- multiclass_classification
- binary_classification
- UCI
pretty_name: Balance
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- balance
- is_balanced
---
# Balance scale
The [Balance scale dataset](https://archive-beta.ics.uci... |
C-MTEB/CovidRetrieval-qrels | 2023-07-28T09:44:39.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 237 | ---
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: qid
dtype: string
- name: pid
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 76720
num_examples: 959
download_size: 62785
dataset_size: 76720... |
turing-motors/LLaVA-Instruct-150K-JA | 2023-08-28T11:26:23.000Z | [
"task_categories:visual-question-answering",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:ja",
"license:cc-by-nc-4.0",
"region:us"
] | turing-motors | null | null | null | 4 | 237 | ---
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
- question-answering
language:
- ja
pretty_name: Japanese LLaVA Visual Instruct 150K
size_categories:
- 100K<n<1M
---
## Dataset Details
**Dataset Type:**
Japanese LLaVA Instruct 150K is a localized version of the original LLaVA Visual Instruct... |
HasturOfficial/mmlu | 2023-09-21T12:20:26.000Z | [
"region:us"
] | HasturOfficial | This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more. | @article{hendryckstest2021,
title={Measuring Massive Multitask Language Understanding},
author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhardt},
journal={Proceedings of the International Conference on Learning Representations (ICLR)}... | null | 0 | 237 | ---
dataset_info:
- config_name: abstract_algebra
features:
- name: question
dtype: string
- name: subject
dtype: string
- name: choices
sequence: string
- name: answer
dtype:
class_label:
names:
'0': A
'1': B
'2': C
'3': D
splits:
- na... |
result-kand2-sdxl-wuerst-karlo/ef52b02a | 2023-09-30T17:09:09.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 237 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 272
num_examples: 10
download_size: 1451
dataset_size: 272
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ef52b02... |
ahazeemi/librispeech10h | 2022-04-24T20:11:30.000Z | [
"region:us"
] | ahazeemi | null | null | null | 0 | 236 | Entry not found |
society-ethics/lila_camera_traps | 2023-03-07T20:14:40.000Z | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:other",
"biodiversity",
"camera trap data",
"wildlife monitoring... | society-ethics | LILA Camera Traps is an aggregate data set of images taken by camera traps, which are devices that automatically (e.g. via motion detection) capture images of wild animals to help ecological research.
This data set is the first time when disparate camera trap data sets have been aggregated into a single training envir... | null | null | 5 | 236 | ---
annotations_creators:
- expert-generated
license:
- other
language_creators:
- expert-generated
language:
- en
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- image-classification
tags:
- biodiversity
- camera trap data
- wildlife monitoring
pretty_name: L... |
shahules786/orca-chat | 2023-07-25T06:06:35.000Z | [
"license:apache-2.0",
"region:us"
] | shahules786 | null | null | null | 92 | 236 | ---
license: apache-2.0
---
## ORCA-Chat
A high-quality explanation-style chat dataset.
ORCA dataset is cool, but it cannot directly be used to finetune chat models with above 4k context length
because it has trivial samples with tokens above 4k. It also has a large number of redundant instructions which
degrades i... |
result-kand2-sdxl-wuerst-karlo/edc62945 | 2023-09-30T18:26:19.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 236 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 209
num_examples: 10
download_size: 1399
dataset_size: 209
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "edc6294... |
kor_nli | 2023-04-05T10:09:06.000Z | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"task_ids:multi-input-text-classification",
"annotations_creators:crowdsourced",
"language_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"sou... | null | Korean Natural Language Inference datasets | @article{ham2020kornli,
title={KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding},
author={Ham, Jiyeon and Choe, Yo Joong and Park, Kyubyong and Choi, Ilji and Soh, Hyungjoon},
journal={arXiv preprint arXiv:2004.03289},
year={2020}
} | null | 4 | 235 | ---
annotations_creators:
- crowdsourced
language_creators:
- machine-generated
- expert-generated
language:
- ko
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|multi_nli
- extended|snli
- extended|xnli
task_categories:
- text-classification
task_ids:
- n... |
launch/gov_report | 2022-11-09T01:58:24.000Z | [
"task_categories:summarization",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | launch | GovReport long document summarization dataset.
There are three configs:
- plain_text: plain text document-to-summary pairs
- plain_text_with_recommendations: plain text doucment-summary pairs, with "What GAO recommends" included in the summary
- structure: data with section structure | @inproceedings{huang-etal-2021-efficient,
title = "Efficient Attentions for Long Document Summarization",
author = "Huang, Luyang and
Cao, Shuyang and
Parulian, Nikolaus and
Ji, Heng and
Wang, Lu",
booktitle = "Proceedings of the 2021 Conference of the North American Chap... | null | 4 | 235 | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: GovReport
---
# Dataset Card for GovReport
## Table o... |
Muennighoff/babi | 2023-02-12T13:34:24.000Z | [
"region:us"
] | Muennighoff | null | null | null | 0 | 235 |
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... |
GATE-engine/COCOStuff10K | 2023-06-23T05:01:36.000Z | [
"region:us"
] | GATE-engine | null | null | null | 0 | 235 | ---
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: test
num_bytes: 490670380.0
num_examples: 1000
- name: train
num_bytes: 4380309288.0
num_examples: 9000
download_size: 4871873017
dataset_size: 4870979668.0
---
# Dataset Card for "CO... |
zxvix/c4_counterfactual_2 | 2023-09-10T06:46:50.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 235 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: timestamp
dtype: timestamp[s]
- name: url
dtype: string
- name: original_text
dtype: string
splits:
- name: test
num_bytes: 3513616.155
... |
zxvix/c4_academic_2 | 2023-09-12T04:10:24.000Z | [
"region:us"
] | zxvix | null | null | null | 1 | 235 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: timestamp
dtype: timestamp[s]
- name: url
dtype: string
- name: original_text
dtype: string
splits:
- name: test
num_bytes: 2911336.564
... |
darentang/generated | 2022-01-04T06:13:50.000Z | [
"region:us"
] | darentang | https://arxiv.org/abs/2103.10213 | @article{2019,
title={ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction},
url={http://dx.doi.org/10.1109/ICDAR.2019.00244},
DOI={10.1109/icdar.2019.00244},
journal={2019 International Conference on Document Analysis and Recognition (ICDAR)},
publisher={IEEE},
author={Huang, Zheng... | null | 0 | 234 | Entry not found |
BeIR/nq-qrels | 2022-10-23T06:08:44.000Z | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | BeIR | null | null | null | 0 | 234 | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
junelee/sharegpt_deepl_ko | 2023-04-27T01:43:36.000Z | [
"region:us"
] | junelee | null | null | null | 42 | 234 | # shareGPT 한국어 번역 데이터셋
이 프로젝트는 shareGPT [데이터셋](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/tree/main) 60만 대화문을 DeepL 을 통해 한국어로 번역하고 있습니다.
현재 번역이 진행 중이며, 아래의 진행상황을 참고해 주세요.
## 진행상황
62만 대화문중 62만 대화문번역완료.
## 파일구조
- original_dataset.json : 원본 shareGPT 파일(62만 영문대화문)
- ko_dataset.json : 번역본... |
C-MTEB/CmedqaRetrieval-qrels | 2023-07-28T09:40:21.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 234 | ---
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: qid
dtype: string
- name: pid
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 595920
num_examples: 7449
download_size: 404005
dataset_size: 59... |
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