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 |
|---|---|---|---|---|---|---|---|---|---|
ChangeIsKey/kubhist2 | 2023-08-10T09:20:43.000Z | [
"task_categories:text-generation",
"size_categories:1B<n<10B",
"language:sv",
"license:cc-by-sa-4.0",
"newspapers",
"historical",
"region:us"
] | ChangeIsKey | This is a version of the Kubhist 2 dataset created, curated and made available by Språkbanken Text (SBX) at the University of Gothenburg (Sweden) under the CC BY 4.0 license.
This is a a corpus of OCRed newspapers from Sweden spanning the 1640s to the 1900s.
The original data is available with many types of annotati... | @misc{botenanna,
title = {"Jag känner en bot, hon heter [MASK]. A BERT for older Swedish, and a more usable dataset for historical newspapers"},
author = {Simon Hengchen}
year={2023},
} | null | 0 | 75 | ---
dataset_info:
- config_name: '1640'
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 254777
num_examples: 3509
download_size: 114173
dataset_size: 254777
- config_name: '1650'
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 31314
... |
lonestar108/enlightenedllm | 2023-10-01T19:49:16.000Z | [
"task_categories:text-generation",
"language:en",
"license:openrail",
"religion",
"spirituality",
"region:us"
] | lonestar108 | null | null | null | 0 | 75 | ---
language:
- en
license: openrail
task_categories:
- text-generation
pretty_name: Enlightened LLM
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 458879
num_examples: 2070
- name: test
num_bytes: 123454
num_ex... |
lyogavin/longer_training_max100k_v3 | 2023-09-09T04:31:13.000Z | [
"region:us"
] | lyogavin | null | null | null | 2 | 75 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
- name: source
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 329465238... |
BAAI/COIG-PC-core | 2023-09-25T10:33:33.000Z | [
"language:zh",
"license:unknown",
"region:us"
] | BAAI | null | null | null | 5 | 75 | ---
extra_gated_heading: "Acknowledge license to accept the repository"
extra_gated_prompt: |
北京智源人工智能研究院（以下简称“我们”或“研究院”）通过BAAI DataHub（data.baai.ac.cn）和COIG-PC HuggingFace仓库（https://huggingface.co/datasets/BAAI/COIG-PC）向您提供开源数据集（以下或称“数据集”），您可通过下载的方式获取您所需的开源数据集，并在遵守各原始数据集使用规则前提下，基于学习、研究、商业等目的使用相关数据... |
renumics/speech_commands_enrichment_only | 2023-09-28T12:25:09.000Z | [
"task_categories:audio-classification",
"task_ids:keyword-spotting",
"annotations_creators:other",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"source_datasets:extended|speech_commands",
"language:en",
"license:cc-by-4... | renumics | null | null | null | 0 | 75 | ---
annotations_creators:
- other
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
- 10K<n<100K
source_datasets:
- extended|speech_commands
task_categories:
- audio-classification
task_ids:
- keyword-spotting
pretty_name: SpeechCommands
co... |
mixamrepijey/gorilla-hf | 2023-10-03T11:11:44.000Z | [
"license:apache-2.0",
"region:us"
] | mixamrepijey | null | null | null | 0 | 75 | ---
license: apache-2.0
---
|
generics_kb | 2023-06-07T12:35:34.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"knowledge-base",
"arxiv:2005.00660",
"region:u... | null | The GenericsKB contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as "Dogs bark," and "Trees remove carbon dioxide from the atmosphere." Generics are potentially useful as a knowledge source for AI systems requiring general world knowledge. The GenericsKB is the first large... | @InProceedings{huggingface:dataset,
title = {GenericsKB: A Knowledge Base of Generic Statements},
authors={Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark},
year={2020},
publisher = {Allen Institute for AI},
} | null | 0 | 74 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
- 1M<n<10M
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: genericskb
pretty_name: GenericsKB
tags:
- knowledge-b... |
parsinlu_reading_comprehension | 2023-08-16T17:04:40.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|wikipedia|google",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:20... | null | A Persian reading comprehenion task (generating an answer, given a question and a context paragraph).
The questions are mined using Google auto-complete, their answers and the corresponding evidence documents are manually annotated by native speakers. | @article{huggingface:dataset,
title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian,... | null | 1 | 74 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- fa
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|wikipedia|google
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: null
pre... |
SetFit/amazon_counterfactual_en | 2022-02-11T13:03:45.000Z | [
"arxiv:2104.06893",
"region:us"
] | SetFit | null | null | null | 0 | 74 | # Amazon Counterfactual Statements
This dataset is the *en-ext* split from [SetFit/amazon_counterfactual](https://huggingface.co/datasets/SetFit/amazon_counterfactual). As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.
The dataset is describ... |
ghadeermobasher/BC5CDR-Chemical-Disease | 2022-01-25T10:31:51.000Z | [
"region:us"
] | ghadeermobasher | \ | @article{krallinger2015chemdner,
title={The CHEMDNER corpus of chemicals and drugs and its annotation principles},
author={Krallinger, Martin and Rabal, Obdulia and Leitner, Florian and Vazquez, Miguel and Salgado, David and Lu, Zhiyong and Leaman, Robert and Lu, Yanan and Ji, Donghong and Lowe, Daniel M and others... | null | 3 | 74 | annotations_creators:
- expert-generated
language_creators:
- expert-generated
languages:
- en
licenses:
- unknown
multilinguality:
- monolingual
paperswithcode_id: bc4chemd
pretty_name: BC4CHEMD
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- named-entity-rec... |
mteb/raw_biorxiv | 2022-09-27T19:15:43.000Z | [
"language:en",
"region:us"
] | mteb | null | null | null | 1 | 74 | ---
language:
- en
--- |
SZTAKI-HLT/HunSum-1 | 2023-01-24T16:21:00.000Z | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"multilinguality:monolingual",
"language:hu",
"license:cc-by-nc-sa-4.0",
"region:us"
] | SZTAKI-HLT | null | null | null | 2 | 74 | ---
language:
- hu
multilinguality:
- monolingual
task_categories:
- summarization
task_ids:
- news-articles-summarization
pretty_name: HunSum-1
license: cc-by-nc-sa-4.0
---
# Dataset Card for HunSum-1
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Suppo... |
buildthething/me | 2023-02-03T14:47:47.000Z | [
"task_categories:text-to-image",
"size_categories:n<1K",
"language:en",
"license:bigscience-openrail-m",
"region:us"
] | buildthething | null | null | null | 0 | 74 | ---
license: bigscience-openrail-m
task_categories:
- text-to-image
language:
- en
pretty_name: me data
size_categories:
- n<1K
--- |
mstz/german | 2023-04-16T17:28:54.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"breast",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 74 | ---
language:
- en
tags:
- breast
- tabular_classification
- binary_classification
pretty_name: German
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- encoding
- loan
license: cc
---
# German
The [German dataset](https://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29) from... |
mstz/higgs | 2023-04-16T17:31:30.000Z | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"higgs",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @article{baldi2014searching,
title={Searching for exotic particles in high-energy physics with deep learning},
author={Baldi, Pierre and Sadowski, Peter and Whiteson, Daniel},
journal={Nature communications},
volume={5},
number={1},
pages={4308},
year={2014},
publisher={Nature Publishing Group UK London... | null | 0 | 74 | ---
language:
- en
tags:
- higgs
- tabular_classification
- binary_classification
- UCI
pretty_name: Higgs
size_categories:
- 10K<n<100K
task_categories:
- tabular-classification
configs:
- higgs
license: cc
---
# Higgs
The [Higgs dataset](https://www.nature.com/articles/ncomms5308/) from "[Searching for exotic particl... |
mstz/spect | 2023-04-16T18:02:28.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"spect",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_spect_heart_95,
author = {Cios,Krzysztof, Kurgan,Lukasz & Goodenday,Lucy},
title = {{SPECT Heart}},
year = {2001},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5P304}}
} | null | 0 | 74 | ---
language:
- en
tags:
- spect
- tabular_classification
- binary_classification
- UCI
pretty_name: Ozone
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- spect
- spectf
license: cc
---
# Ozone
The [Ozone dataset](https://archive.ics.uci.edu/ml/datasets/Ozone) from the [UCI ML repository](h... |
distil-whisper/common_voice_13_0 | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc0-1.0",
"region:us"
] | distil-whisper | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | null | 0 | 74 | ---
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: Common Voice 13
---
# Distil Whisper: Common Voice 13
This is a variant of the [Common Voice 13](https://huggingface.co/datasets/mozilla_foundation/common_voice_13) dataset, augmented to return the pseudo-labelled Whisp... |
TigerResearch/tigerbot-kaggle-leetcodesolutions-en-2k | 2023-05-31T02:01:37.000Z | [
"language:en",
"license:apache-2.0",
"region:us"
] | TigerResearch | null | null | null | 7 | 74 | ---
license: apache-2.0
language:
- en
---
[Tigerbot](https://github.com/TigerResearch/TigerBot) 基于leetcode-solutions数据集，加工生成的代码类sft数据集
<p align="center" width="40%">
原始来源：[https://www.kaggle.com/datasets/erichartford/leetcode-solutions](https://www.kaggle.com/datasets/erichartford/leetcode-solutions)
## Usage
```p... |
yulongmannlp/dev_para | 2023-06-26T00:32:27.000Z | [
"region:us"
] | yulongmannlp | Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250}... | null | 0 | 74 | Entry not found |
eckendoerffer/justice_fr | 2023-09-30T05:38:31.000Z | [
"size_categories:100K<n<1M",
"language:fr",
"license:cc-by-sa-4.0",
"justice",
"law",
"legal",
"region:us"
] | eckendoerffer | null | null | null | 3 | 74 | ---
license: cc-by-sa-4.0
language:
- fr
pretty_name: Law & decision from French justice system
tags:
- justice
- law
- legal
size_categories:
- 100K<n<1M
---
# Dataset Card for French Legal Dataset
## Dataset Description
The dataset contains a comprehensive collection of French legal books, codes, and appellate cou... |
DFKI-SLT/conll2012_ontonotesv5 | 2023-07-13T15:02:27.000Z | [
"region:us"
] | DFKI-SLT | OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,
multilingual corpus manually annotated with syntactic, semantic and discourse information.
This dataset is the version of OntoNotes v5.0 extended and is used in the CoNLL-2012 shared task.
It includes v4 train/dev and v9 test d... | @inproceedings{pradhan-etal-2013-towards,
title = "Towards Robust Linguistic Analysis using {O}nto{N}otes",
author = {Pradhan, Sameer and
Moschitti, Alessandro and
Xue, Nianwen and
Ng, Hwee Tou and
Bj{\"o}rkelund, Anders and
Uryupina, Olga and
Zhang, Yuchen and
Z... | null | 0 | 74 | Entry not found |
jxu9001/tagged_addresses_v4 | 2023-08-02T23:31:21.000Z | [
"region:us"
] | jxu9001 | null | null | null | 0 | 74 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: tokens
sequence: string
- name: tags
sequence: int64
splits:
- name: train
num_bytes: 10... |
arbml/alpagasus_cleaned_ar_reviewed | 2023-10-01T13:04:41.000Z | [
"region:us"
] | arbml | null | null | null | 0 | 74 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: input_en
dtype: string
- name: index
dtype: string
- name: instruction_en
dtype: string
- name: output
dtype: string
- name: output_en
dtype: string
- name: instruc... |
sibozhu/wukong | 2023-09-12T08:26:40.000Z | [
"region:us"
] | sibozhu | null | null | null | 0 | 74 | Entry not found |
asun17904/imdb-test | 2023-09-17T16:15:11.000Z | [
"region:us"
] | asun17904 | null | null | null | 0 | 74 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': neg
'1': pos
splits:
- name: test
num_bytes: 19590411.0
num_examples: 15000
download_size: 12828803
dataset_size: 19590411.0
---
# Dataset Card for "imdb-t... |
euclaise/WritingPromptsX | 2023-09-22T14:37:38.000Z | [
"size_categories:1M<n<10M",
"license:cc0-1.0",
"region:us"
] | euclaise | null | null | null | 0 | 74 | ---
dataset_info:
features:
- name: post_title
dtype: string
- name: body
dtype: string
- name: score
dtype: int64
- name: gilded
dtype: int64
- name: post_score
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 2040557544
num_examples... |
nlewins/ceb_en | 2023-09-29T16:10:21.000Z | [
"region:us"
] | nlewins | null | null | null | 0 | 74 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: ceb
dtype: string
- name: en
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 903970.0650306748
num_exampl... |
ar_sarcasm | 2023-03-16T14:13:22.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-semeval_2017",
"source_datasets:extended|other-astd",
"language:ar... | null | ArSarcasm is a new Arabic sarcasm detection dataset.
The dataset was created using previously available Arabic sentiment analysis datasets (SemEval 2017 and ASTD)
and adds sarcasm and dialect labels to them. The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic. | @inproceedings{abu-farha-magdy-2020-arabic,
title = "From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset",
author = "Abu Farha, Ibrahim and Magdy, Walid",
booktitle = "Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offe... | null | 4 | 73 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ar
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-semeval_2017
- extended|other-astd
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: Ar... |
arabic_billion_words | 2023-06-01T14:59:53.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"size_categories:1M<... | null | Abu El-Khair Corpus is an Arabic text corpus, that includes more than five million newspaper articles.
It contains over a billion and a half words in total, out of which, there are about three million unique words.
The corpus is encoded with two types of encoding, namely: UTF-8, and Windows CP-1256.
Also it was marked ... | @article{el20161,
title={1.5 billion words arabic corpus},
author={El-Khair, Ibrahim Abu},
journal={arXiv preprint arXiv:1611.04033},
year={2016}
} | null | 11 | 73 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
- 10K<n<100K
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswit... |
code_x_glue_tc_nl_code_search_adv | 2023-07-27T15:51:10.000Z | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:found",
"language_creators:found",
"multilinguality:other-programming-languages",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:code",
"language:en",
"license:c-uda",
"arxiv:2102.04664",
... | null | The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
- Remove examples that codes cannot be parsed into an abstract syntax tree.
- Remove examples that #tokens of documents is < 3 or >256
- Remove examples that documents contain special tokens (e.g. <img ...> or https:...)
- Remove ex... | @article{husain2019codesearchnet,
title={Codesearchnet challenge: Evaluating the state of semantic code search},
author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
journal={arXiv preprint arXiv:1909.09436},
year={2019}
} | null | 2 | 73 | ---
annotations_creators:
- found
language_creators:
- found
language:
- code
- en
license:
- c-uda
multilinguality:
- other-programming-languages
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-retrieval
task_ids:
- document-retrieval
pretty_name: CodeXGlueTcNlCodeSearchAdv
dataset_inf... |
iarfmoose/question_generator | 2021-11-29T05:22:03.000Z | [
"region:us"
] | iarfmoose | null | null | null | 4 | 73 | This dataset is made up of data taken from SQuAD v2.0, RACE, CoQA, and MSMARCO. Some examples have been filtered out of the original datasets and others have been modified.
There are two fields; question and text. The question field contains the question, and the text field contains both the answer and the context in ... |
google/wit | 2022-07-04T10:47:07.000Z | [
"task_categories:text-retrieval",
"task_categories:image-to-text",
"task_ids:image-captioning",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"source_datasets:extended|wikipedia",
"lang... | google | Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset.
WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages.
Its size enables WIT to be used as a pretraining dataset for multimodal machine learning m... | @article{srinivasan2021wit,
title={WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning},
author={Srinivasan, Krishna and Raman, Karthik and Chen, Jiecao and Bendersky, Michael and Najork, Marc},
journal={arXiv preprint arXiv:2103.01913},
year={2021}
} | null | 14 | 73 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- af
- ar
- ast
- azb
- be
- bg
- bn
- br
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gl
- hr
- hu
- hy
- id
- it
- iw
- ja
- ka
- ko
- la
- lt
- lv
- mk
- ml
- ms
- nl
- nn
- 'no'
- pl
- pt
- ro
- r... |
joelniklaus/lextreme | 2023-04-29T07:02:17.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"task_ids:topic-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality... | joelniklaus | The LEXTREME Benchmark is a collection of multilingual datasets for evaluating model performance
across a diverse set of legal NLU tasks. | @misc{niklaus2023lextreme,
title={LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain},
author={Joel Niklaus and Veton Matoshi and Pooja Rani and Andrea Galassi and Matthias Stürmer and Ilias Chalkidis},
year={2023},
eprint={2301.13126},
archivePrefix={arXiv},
primaryClass={c... | null | 15 | 73 | ---
annotations_creators:
- other
language_creators:
- found
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
license:
- cc-by-4.0
multilinguality:
- multilingual
paperswithcode_id: null
pretty_name: "LEXTREME: A Multil... |
nlp-guild/intent-recognition-biomedical | 2022-09-22T16:13:44.000Z | [
"license:mit",
"region:us"
] | nlp-guild | null | null | null | 0 | 73 | ---
license: mit
---
[source](https://github.com/wangle1218/KBQA-for-Diagnosis/tree/main/nlu/bert_intent_recognition/data) |
loubnabnl/humaneval_infilling | 2022-10-21T10:37:13.000Z | [
"task_categories:text2text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"source_datasets:original",
"language:code",
"license:mit",
"code-generation",
"arxiv:2207.14255",
"region:us"
] | loubnabnl | An evaluation benchamrk for infilling tasks on HumanEval dataset for code generation. | @article{bavarian2022efficient,
title={Efficient Training of Language Models to Fill in the Middle},
author={Bavarian, Mohammad and Jun, Heewoo and Tezak, Nikolas and Schulman, John and McLeavey, Christine and Tworek, Jerry and Chen, Mark},
journal={arXiv preprint arXiv:2207.14255},
year={2022}
} | null | 0 | 73 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- code
license:
- mit
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text2text-generation
task_ids: []
pretty_name: OpenAI HumanEval-Infilling
tags:
- code-generation
---
# HumanEval-Infilling
... |
Multimodal-Fatima/COCO_captions_validation | 2023-03-17T21:22:46.000Z | [
"region:us"
] | Multimodal-Fatima | null | null | null | 0 | 73 | ---
dataset_info:
features:
- name: image
dtype: image
- name: filepath
dtype: string
- name: sentids
list: int32
- name: filename
dtype: string
- name: imgid
dtype: int32
- name: split
dtype: string
- name: sentences_tokens
list:
list: string
- name: sentences_raw
... |
mstz/hill | 2023-04-16T17:31:39.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"hill",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_hill-valley_166,
author = {Graham,Lee & Oppacher,Franz},
title = {{Hill-Valley}},
year = {2008},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5JC8P}}
} | null | 1 | 73 | ---
language:
- en
tags:
- hill
- tabular_classification
- binary_classification
- UCI
pretty_name: Hill
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- hill
license: cc
---
# Hill
The [Hill dataset](https://archive.ics.uci.edu/ml/datasets/Hill) from the [UCI ML repository](https://archive.... |
mstz/musk | 2023-04-16T17:34:46.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"musk",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_musk_(version_1)_74,
author = {Chapman,David & Jain,Ajay},
title = {{Musk (Version 1)}},
year = {1994},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5ZK5B}}
} | null | 0 | 73 | ---
language:
- en
tags:
- musk
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Musk
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- musk
license: cc
---
# Musk
The [Musk dataset](https://archive.ics.uci.edu/ml/datasets/Musk) from the [UCI ML ... |
dominguesm/Canarim-Instruct-PTBR-Dataset | 2023-08-14T10:27:07.000Z | [
"language:pt",
"license:cc-by-4.0",
"doi:10.57967/hf/0983",
"region:us"
] | dominguesm | null | null | null | 12 | 73 | ---
language: pt
license: cc-by-4.0
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 113100060
num_examples: 316413
- name: test
num_bytes: 687328
num_examples: 1519
download_si... |
mstz/wall_following | 2023-04-16T18:03:59.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<5K",
"language:en",
"license:cc",
"wall_following",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_wall-following_robot_navigation_data_194,
author = {Freire,Ananda, Veloso,Marcus & Barreto,Guilherme},
title = {{Wall-Following Robot Navigation Data}},
year = {2010},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C57C8W}}
} | null | 0 | 73 | ---
language:
- en
tags:
- wall_following
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: WallFollowing
size_categories:
- 1K<n<5K
task_categories:
- tabular-classification
configs:
- wall_following
license: cc
---
# WallFollowing
The [WallFollowing dataset](https://archi... |
taeshahn/ko-lima | 2023-06-30T09:21:43.000Z | [
"license:cc-by-nc-sa-4.0",
"arxiv:2305.11206",
"region:us"
] | taeshahn | A high-quality korean dataset for efficient instruction tuning. | @InProceedings{huggingface:dataset,
title = {Ko-LIMA: Korean LIMA Dataset},
author={Hahn, Taeseung},
year={2023}
} | null | 7 | 73 | ---
license: cc-by-nc-sa-4.0
---
# Dataset Card for Ko-LIMA
## Dataset Description
Ko-LIMA는 Meta에서 공개한 [LIMA: Less Is More for Alignment](https://arxiv.org/abs/2305.11206) (Zhou et al., 2023)의 [학습 데이터](https://huggingface.co/datasets/GAIR/lima)를 한국어로 번역한 데이터셋입니다. 번역에는 [DeepL API](https://www.deepl.com/docs-api)를 활용하... |
xiyuez/im-feeling-curious | 2023-06-24T17:09:22.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:odc-by",
"region:us"
] | xiyuez | null | null | null | 2 | 73 | ---
license: odc-by
task_categories:
- question-answering
- text-generation
language:
- en
pretty_name: i'm feeling curious dataset
size_categories:
- 1K<n<10K
---
This public dataset is an extract from Google's "i'm feeling curious" feature. To learn more about this feature, search for "i'm feeling curious" on Google... |
TJUNLP/M3KE | 2023-06-19T04:07:29.000Z | [
"task_categories:text-classification",
"task_categories:question-answering",
"task_categories:multiple-choice",
"size_categories:10K<n<100K",
"language:zh",
"license:apache-2.0",
"arxiv:2305.10263",
"region:us"
] | TJUNLP | A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models. | @misc{liu2023m3ke,
title={M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models},
author={Chuang Liu and Renren Jin and Yuqi Ren and Linhao Yu and Tianyu Dong and Xiaohan Peng and Shuting Zhang and Jianxiang Peng and Peiyi Zhang and Qingqing Lyu and Xiaowen S... | null | 2 | 73 | ---
license: apache-2.0
task_categories:
- text-classification
- question-answering
- multiple-choice
language:
- zh
size_categories:
- 10K<n<100K
arxiv:
- 2305.10263
---
M3KE, or Massive Multi-Level Multi-Subject Knowledge Evaluation, is a benchmark developed to assess the knowledge acquired by large Chinese languag... |
TokenBender/code_instructions_122k_alpaca_style | 2023-07-20T19:59:33.000Z | [
"license:apache-2.0",
"region:us"
] | TokenBender | null | null | null | 22 | 73 | ---
license: apache-2.0
---
|
lamini/spider_text_to_sql | 2023-08-28T06:57:19.000Z | [
"region:us"
] | lamini | null | null | null | 5 | 73 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 9388343
num_examples: 7000
- name: val... |
PurCL/malware-top-100 | 2023-08-31T21:13:38.000Z | [
"region:us"
] | PurCL | null | null | null | 0 | 73 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: valid
path: data/valid-*
dataset_info:
features:
- name: binary_name
dtype: string
- name: labels
sequence: string
- name: functions
dtype: string
splits:
... |
dongyoung4091/shp_with_features_20k_flan_t5_large_flan_t5_zeroshot | 2023-09-08T15:45:01.000Z | [
"region:us"
] | dongyoung4091 | null | null | null | 0 | 73 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: post_id
dtype: string
- name: domain
dtype: string
- name: upvote_ratio
dtype: float64
- name: history
dtype: string
- name: c_root_... |
benhachem/KHATT | 2023-09-12T13:05:06.000Z | [
"task_categories:image-to-text",
"size_categories:1K<n<10K",
"language:ar",
"OCR",
"Optical Character Recognition ",
"Arabic OCR",
"arabic ",
"ocr",
"Textline images",
"region:us"
] | benhachem | KHATT (KFUPM Handwritten Arabic TexT) database is a database of unconstrained handwritten Arabic Text written by 1000 different writers. This research database’s development was undertaken by a research group from KFUPM, Dhahran, S audi Arabia headed by Professor Sabri Mahmoud in collaboration with Professor Fink from ... | @article{Pattern Recognition,
Author = {bri A. Mahmoud, Irfan Ahmad, Wasfi G. Al-Khatib, Mohammad Alshayeb, Mohammad Tanvir Parvez, Volker Märgner, Gernot A. Fink},
Title = { {KHATT: An Open Arabic Offline Handwritten Text Database} },
Year = {2013},
doi = {10.1016/j.patcog.2013.08.009},
} | null | 0 | 73 | ---
task_categories:
- image-to-text
language:
- ar
tags:
- OCR
- 'Optical Character Recognition '
- Arabic OCR
- 'arabic '
- ocr
- Textline images
size_categories:
- 1K<n<10K
---
# KFUPM Handwritten Arabic TexT (KHATT) database
### Version 1.0 (September 2012 Release)
The database contains handwritten Arabic text i... |
dongyoung4091/shp-generated_flan_t5_large_external_rm1 | 2023-09-12T09:13:50.000Z | [
"region:us"
] | dongyoung4091 | null | null | null | 0 | 73 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: external_rm1
dtype: float64
splits:
- name: train
num_bytes: 27036265
num_examples: 25600
download_size:... |
vitaliy-sharandin/pollution-by-region | 2023-09-20T16:05:17.000Z | [
"region:us"
] | vitaliy-sharandin | null | null | null | 0 | 73 | ---
dataset_info:
features:
- name: Entity
dtype: string
- name: Code
dtype: string
- name: Annual CO₂ emissions
dtype: float64
- name: Year
dtype: timestamp[ns, tz=UTC]
- name: dt
dtype: timestamp[ns, tz=UTC]
splits:
- name: train
num_bytes: 1409806
num_examples: 31349
dow... |
ticoAg/zhihu_3k_rlhf_train | 2023-09-21T09:53:46.000Z | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:zh",
"license:apache-2.0",
"region:us"
] | ticoAg | null | null | null | 0 | 73 | ---
license: apache-2.0
task_categories:
- question-answering
language:
- zh
size_categories:
- 1K<n<10K
---
# Note
> some rm data from public dataset
- format
```json
{
"history": [
"query1", "answer1",
"query2", "answer2"
],
"prompt": "query",
"input": "input for query",
"output":... |
ShrinivasSK/small-hi-kn | 2023-09-30T17:19:03.000Z | [
"region:us"
] | ShrinivasSK | null | null | null | 0 | 73 | Entry not found |
alexandrainst/nst-da | 2023-10-05T14:27:00.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"size_categories:100K<n<1M",
"language:da",
"license:cc0-1.0",
"region:us"
] | alexandrainst | null | null | null | 0 | 73 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: speaker_id
dtype: int64
- name: age
dtype: i... |
pk11/longmult | 2023-10-05T22:03:07.000Z | [
"license:cc-by-4.0",
"region:us"
] | pk11 | null | null | null | 0 | 73 | ---
license: cc-by-4.0
dataset_info:
config_name: longmult
features:
- name: text
dtype: string
- name: split
dtype:
class_label:
names:
'0': train
'1': test
splits:
- name: train
num_bytes: 413269584
num_examples: 434267
- name: test
num_bytes: 0
... |
stepkurniawan/qa_sustainability_wiki | 2023-10-05T20:51:30.000Z | [
"license:mit",
"region:us"
] | stepkurniawan | null | null | null | 0 | 73 | ---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: question
dtype: string
- name: ground_truths
dtype: string
splits:
- name: train
num_bytes: 195625.12855377008
num_exampl... |
allegro_reviews | 2022-11-18T17:41:41.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-scoring",
"task_ids:text-scoring",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pl",
"license:cc-by-sa-4.0",
"region:us"
] | null | Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted
from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale
from one (negative review) to five (positive review).
We recommend using the provi... | @inproceedings{rybak-etal-2020-klej,
title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
... | null | 1 | 72 | ---
annotations_creators:
- found
language_creators:
- found
language:
- pl
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-scoring
- text-scoring
paperswithcode_id: allegro-reviews
pretty_name:... |
allegro/summarization-polish-summaries-corpus | 2021-09-24T14:17:27.000Z | [
"region:us"
] | allegro | null | null | null | 2 | 72 | Entry not found |
mstz/house16 | 2023-04-16T17:31:52.000Z | [
"task_categories:tabular-classification",
"size_categories:10k<n<100K",
"language:en",
"license:cc",
"house16",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 72 | ---
language:
- en
tags:
- house16
- tabular_classification
- binary_classification
pretty_name: House16
size_categories:
- 10k<n<100K
task_categories:
- tabular-classification
configs:
- house16
license: cc
---
# House16
The [House16 dataset](https://www.openml.org/search?type=data&sort=runs&id=821&status=active) from... |
BAAI/COIG | 2023-07-12T15:38:35.000Z | [
"language:zh",
"license:apache-2.0",
"arxiv:2204.07705",
"arxiv:2212.10560",
"arxiv:2212.09689",
"arxiv:2304.07987",
"region:us"
] | BAAI | We propose the Chinese Open Instruction Generalist (COIG) project to maintain a harmless, helpful, and diverse set of Chinese instruction corpora. We welcome all researchers in the community to contribute to the corpus set and collaborate with us. We only release the first chip of COIG to help the Chinese LLMs' develop... | @misc{zhang2023chinese,
title={Chinese Open Instruction Generalist: A Preliminary Release},
author={Ge Zhang and Yemin Shi and Ruibo Liu and Ruibin Yuan and Yizhi Li and Siwei Dong and Yu Shu and Zhaoqun Li and Zekun Wang and Chenghua Lin and Wenhao Huang and Jie Fu},
year={2023},
eprint={2304.... | null | 316 | 72 | ---
license: apache-2.0
arxiv: 2304.07987
language:
- zh
---
# This is the Chinese Open Instruction Generalist project
We propose the Chinese Open Instruction Generalist (**COIG**) project to maintain a harmless, helpful, and diverse set of Chinese instruction corpora. We welcome all researchers in the community to c... |
lca0503/GPTspeech_encodec_v2 | 2023-06-15T06:54:51.000Z | [
"region:us"
] | lca0503 | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: file_id
dtype: string
- name: instruction
dtype: string
- name: transcription
dtype: string
- name: src_encodec_0
sequence: int64
- name: src_encodec_1
sequence: int64
- name: src_encodec_2
sequence: int64
- name: src_encodec_3
sequence: in... |
tyzhu/v1.1_id0.2_context_instruction_tuning | 2023-08-16T11:38:01.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: task_source
dtype: string
- name: task_name
dtype: string
- name: template_type
dtype: string
- name: context
dtype: string
- name: template_used
dtype: string
splits:
- name: t... |
nthakur/msmarco-passage-sampled-10k | 2023-08-17T14:46:16.000Z | [
"task_categories:text-retrieval",
"source_datasets:Tevatron/msmarco-passage",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | nthakur | null | null | null | 0 | 72 | ---
language:
- en
license: cc-by-sa-3.0
task_categories:
- text-retrieval
source_datasets:
- Tevatron/msmarco-passage
---
# nthakur/msmarco-passage-sampled-10k
This is a 10k randomly sampled training pairs of the Tevatron [msmarco-passage](https://huggingface.co/datasets/Tevatron/msmarco-passage) for debugging and ... |
Linhz/qag_vinewsqa | 2023-08-24T16:36:48.000Z | [
"region:us"
] | Linhz | null | null | null | 0 | 72 | Entry not found |
Yijia-Xiao/pii-cord19 | 2023-09-12T22:27:19.000Z | [
"region:us"
] | Yijia-Xiao | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: cleaned_output
dtype: string
splits:
- name: train
num_bytes: 1422043675
num_examples: 821007
download_size: 806733402
dataset_size: 1422043675
configs... |
mychen76/stack-exchange-paired-500k | 2023-09-01T23:55:09.000Z | [
"region:us"
] | mychen76 | null | null | null | 0 | 72 | StackExchange Paired 500K is a subset of lvwerra/stack-exchange-paired
which is a processed version of the HuggingFaceH4/stack-exchange-preferences. The following steps were applied:
Parse HTML to Markdown with markdownify
Create pairs (response_j, response_k) where j was rated better than k
Sample at most... |
ShreeyaVenneti/self_promotion_interview_transcripts | 2023-09-13T06:21:08.000Z | [
"region:us"
] | ShreeyaVenneti | null | null | null | 0 | 72 | Entry not found |
collabora/ai4bharat-shrutilipi | 2023-09-06T10:05:33.000Z | [
"region:us"
] | collabora | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 154227946446.427
num_examples: 228217
- name: validation
num_bytes: 43011087729.583
num_examples: 63411
download_size: 201153828670
dataset_size: 197239034176.01... |
codefuse-ai/CodeExercise-Python-27k | 2023-09-08T09:38:34.000Z | [
"license:cc-by-nc-sa-4.0",
"arxiv:2303.17760",
"region:us"
] | codefuse-ai | null | null | null | 29 | 72 | ---
license: cc-by-nc-sa-4.0
viewer: false
---
# Dataset Card for CodeFuse-CodeExercise-Python-27k
<div align='center'>
[[中文]](#chinese) [[English]](#english)
</div>
<a id="english"></a>
### Dataset Description
This dataset consists of 27K Python programming exercises (in English), covering hu... |
maximegmd/medmcqa_alpaca_format | 2023-09-12T11:29:11.000Z | [
"region:us"
] | maximegmd | null | null | null | 0 | 72 | ---
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: question
dtype: string
- name: choices
sequence: string
- name: solution
dtype: string
s... |
skaltenp/textworld_turn_top_demonstrations | 2023-09-18T10:06:22.000Z | [
"region:us"
] | skaltenp | null | null | null | 0 | 72 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: demonstration
sequence:
sequence: string
- name: moves
dtype: int64
... |
vitaliy-sharandin/climate-global-temp-country | 2023-09-21T15:48:20.000Z | [
"region:us"
] | vitaliy-sharandin | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: Year
dtype: int64
- name: China
dtype: float64
- name: India
dtype: float64
- name: Poland
dtype: float64
- name: United States
dtype: float64
- name: World
dtype: float64
- name: dt
dtype: timestamp[ns, tz=UTC]
splits:
- name: train
... |
Mestopholis/test-prompts | 2023-09-23T20:46:04.000Z | [
"region:us"
] | Mestopholis | null | null | null | 0 | 72 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderbo... |
vitaliy-sharandin/pollution-krakow-no2-co | 2023-09-26T14:05:28.000Z | [
"region:us"
] | vitaliy-sharandin | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: NO2
dtype: float64
- name: CO
dtype: float64
- name: dt
dtype: timestamp[ns]
splits:
- name: train
num_bytes: 6816
num_examples: 284
download_size: 9084
dataset_size: 6816
configs:
- config_name: default
data_files:
- split: train
path: dat... |
Narya-ai/relevancy-dataset | 2023-09-28T14:08:11.000Z | [
"region:us"
] | Narya-ai | null | null | null | 0 | 72 | ---
dataset_info:
features:
- name: full_query
dtype: string
- name: article_text
dtype: string
- name: prompt
dtype: string
- name: parameters
struct:
- name: candidate_labels
sequence: string
- name: label
dtype: bool
splits:
- name: train
num_bytes: 2318409
num_e... |
ShrinivasSK/small-hi-te | 2023-09-30T17:18:34.000Z | [
"region:us"
] | ShrinivasSK | null | null | null | 0 | 72 | Entry not found |
Alexandre-Numind/ValIE | 2023-10-04T11:26:25.000Z | [
"region:us"
] | Alexandre-Numind | null | null | null | 0 | 72 | Entry not found |
Fraol/TrainDedupedRefDatasetWMetricFinal2 | 2023-10-08T04:38:56.000Z | [
"region:us"
] | Fraol | null | null | null | 0 | 72 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: source
dtype: string
- name: path_name
dtype: string
- name: file_name
dtype: string
- name: ref_type
dtype: string
- name: hash
... |
arabic_speech_corpus | 2022-11-18T18:29:09.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ar",
"license:cc-by-4.0",
"region:us"
] | null | This Speech corpus has been developed as part of PhD work carried out by Nawar Halabi at the University of Southampton.
The corpus was recorded in south Levantine Arabic
(Damascian accent) using a professional studio. Synthesized speech as an output using this corpus has produced a high quality, natural voice.
Note tha... | @phdthesis{halabi2016modern,
title={Modern standard Arabic phonetics for speech synthesis},
author={Halabi, Nawar},
year={2016},
school={University of Southampton}
} | null | 15 | 71 | ---
pretty_name: Arabic Speech Corpus
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- ar
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: arabic-speech-corpus
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- automatic-speech-recognit... |
greek_legal_code | 2023-06-12T14:25:00.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:topic-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:el",
"license:cc-by-4.0",
"ar... | null | Greek_Legal_Code contains 47k classified legal resources from Greek Legislation. Its origin is “Permanent Greek Legislation Code - Raptarchis”,
a collection of Greek legislative documents classified into multi-level (from broader to more specialized) categories. | @inproceedings{papaloukas-etal-2021-glc,
title = "Multi-granular Legal Topic Classification on Greek Legislation",
author = "Papaloukas, Christos and Chalkidis, Ilias and Athinaios, Konstantinos and Pantazi, Despina-Athanasia and Koubarakis, Manolis",
booktitle = "Proceedings of the 3rd Natural Legal Langua... | null | 8 | 71 | ---
annotations_creators:
- found
language_creators:
- found
language:
- el
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
- topic-classification
pretty_name: Greek Legal Code
dat... |
winvoker/turkish-sentiment-analysis-dataset | 2023-07-19T13:15:13.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] | winvoker | null | null | null | 20 | 71 | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- crowdsourced
language:
- tr
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Turkish Sentiment Dataset
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- sentiment-classific... |
nthngdy/oscar-mini | 2022-12-06T11:05:51.000Z | [
"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... | null | 2 | 71 | ---
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
- ... |
copenlu/sufficient_facts | 2022-08-05T08:33:48.000Z | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|fever",
"source_datasets:extended|hover",
"source_datasets:extended|fever_gold_... | copenlu | SufficientFacts is a diagnostic test dataset for fact checking with insufficient evidence. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | null | 3 | 71 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: sufficient_facts
size_categories:
- 1K<n<10K
source_datasets:
- extended|fever
- extended|hover
- extended|fever_gold_evidence
task_categories:
- text-classification
task_... |
hugginglearners/netflix-shows | 2022-08-18T03:04:55.000Z | [
"license:cc0-1.0",
"region:us"
] | hugginglearners | null | null | null | 4 | 71 | ---
license:
- cc0-1.0
kaggle_id: infamouscoder/dataset-netflix-shows
---
# Dataset Card for Dataset: NetFlix Shows
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tas... |
DTU54DL/common-accent | 2022-11-30T13:25:07.000Z | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"region:us"
] | DTU54DL | null | null | null | 0 | 71 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- mit
multilinguality:
- monolingual
paperswithcode_id: acronym-identification
pretty_name: Acronym Identification Dataset
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
tas... |
IlyaGusev/pikabu | 2023-03-12T14:50:29.000Z | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:ru",
"region:us"
] | IlyaGusev | null | null | null | 11 | 71 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: title
dtype: string
- name: text_markdown
dtype: string
- name: timestamp
dtype: uint64
- name: author_id
dtype: int64
- name: username
dtype: string
- name: rating
dtype: int64
- name: pluses
dtype: int64
- ... |
mstz/nbfi | 2023-04-07T14:33:02.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"nbfi",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 71 | ---
language:
- en
tags:
- nbfi
- tabular_classification
- binary_classification
pretty_name: NBFI
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- default
license: cc
---
# NBFI
The [NBFI dataset](https://www.kaggle.com/datasets/meastanmay/nbfi-vehicle-loan-repayment-dataset) from the [... |
mstz/sonar | 2023-04-16T18:02:16.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"adult",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 0 | 71 | ---
language:
- en
tags:
- adult
- tabular_classification
- binary_classification
- UCI
pretty_name: Sonar
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- sonar
license: cc
---
# Sonar
The [Sonar dataset](https://archive-beta.ics.uci.edu/dataset/151/connectionist+bench+sonar+mines+vs+rocks)... |
mstz/ionosphere | 2023-04-16T17:32:10.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"ionosphere",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_ionosphere_52,
author = {Sigillito,V., Wing,S., Hutton,L. & Baker,K.},
title = {{Ionosphere}},
year = {1989},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5W01B}}
} | null | 0 | 71 | ---
language:
- en
tags:
- ionosphere
- tabular_classification
- binary_classification
- UCI
pretty_name: Ionosphere
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- ionosphere
license: cc
---
# Ionosphere
The [Ionosphere dataset](https://archive.ics.uci.edu/ml/datasets/Ionosphere) from the ... |
mstz/post_operative | 2023-04-16T17:58:06.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"post_operative",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_post-operative_patient_82,
author = {Summers,Sharon & Woolery,Linda},
title = {{Post-Operative Patient}},
year = {1993},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5DG6Q}}
} | null | 0 | 71 | ---
language:
- en
tags:
- post_operative
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Page Blocks
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- post_operative
- post_operative_binary
license: cc
---
# Post Operative
The [PostOperativ... |
edarchimbaud/revenue-estimate-stocks | 2023-10-07T23:16:17.000Z | [
"region:us"
] | edarchimbaud | null | null | null | 2 | 71 | ---
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: current_qtr
dtype: string
- name: no_of_analysts_current_qtr
dtype: int64
- name: next_qtr
dtype: string
- name: no_of_analysts_next_qtr
dtype: int64
- name: current_year
dtype: int64
... |
izumi-lab/llm-japanese-dataset-vanilla | 2023-09-29T14:40:26.000Z | [
"size_categories:1M<n<10M",
"language:ja",
"license:cc-by-sa-4.0",
"arxiv:2305.12720",
"arxiv:2309.03412",
"region:us"
] | izumi-lab | null | null | null | 5 | 71 | ---
license: cc-by-sa-4.0
language:
- ja
size_categories:
- 1M<n<10M
---
# llm-japanese-dataset-vanilla
LLM構築用の日本語チャットデータセット
[izumi-lab/llm-japanese-dataset](https://huggingface.co/datasets/izumi-lab/llm-japanese-dataset) から，日英翻訳のデータセット等を抜いたものです．
主に，日本語LLMモデルなどに対して，チャット(Instruction)応答タスクに関してLoRAなどでチューニングするために使用できます．... |
hamishivi/alpaca-farm-davinci-003-2048-token | 2023-06-09T06:14:36.000Z | [
"license:cc-by-nc-4.0",
"region:us"
] | hamishivi | null | null | null | 0 | 71 | ---
license: cc-by-nc-4.0
---
|
zjunlp/Mol-Instructions | 2023-10-10T07:54:24.000Z | [
"size_categories:100M<n<1B",
"language:en",
"license:cc-by-4.0",
"chemistry",
"biology",
"molecule",
"protein",
"instructions",
"arxiv:2306.08018",
"region:us"
] | zjunlp | Mol-Instructions datasets. | @misc{merity2016pointer,
title={},
author={},
year={2023},
} | null | 17 | 71 | ---
language:
- en
size_categories:
- 100M<n<1B
license: cc-by-4.0
tags:
- chemistry
- biology
- molecule
- protein
- instructions
---
<h1 align="center"> 🧪 Mol-Instructions </h1>
<h3 align="center"> An open, large-scale biomolecular instruction dataset for large language models. </h3>
> Please refer to our [repos... |
Patt/HellaSwag_TH_drop | 2023-07-20T15:26:47.000Z | [
"language:th",
"language:en",
"arxiv:1907.04307",
"region:us"
] | Patt | null | null | null | 0 | 71 | ---
language:
- th
- en
---
# Dataset Card for HellaSwag_TH_drop
### Dataset Description
This dataset is Thai translated version of [hellaswag](https://huggingface.co/datasets/hellaswag) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai... |
roszcz/qrs-swipe-demo | 2023-08-03T17:06:49.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 71 | ---
dataset_info:
features:
- name: time
dtype: timestamp[us]
- name: label
dtype: string
- name: position
dtype: int64
- name: is_beat
dtype: bool
- name: signal
dtype:
array2_d:
shape:
- 1200
- 3
dtype: int16
- name: exam_uid
dtype: string
... |
pie/conll2012_ontonotesv5 | 2023-09-28T18:14:28.000Z | [
"region:us"
] | pie | null | null | null | 0 | 71 | Entry not found |
ChrisHayduk/Llama-2-SQL-Dataset | 2023-09-29T03:03:30.000Z | [
"region:us"
] | ChrisHayduk | null | null | null | 6 | 71 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: eval
path: data/eval-*
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 33020750.12130776
num_examples: 70719
- name: eval... |
rahular/simple-wikipedia | 2023-08-17T17:09:41.000Z | [
"region:us"
] | rahular | null | null | null | 0 | 71 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 144689943
num_examples: 769764
download_size: 86969379
dataset_size: 144689943
---
# simple-wikipedia
Processed, text-onl... |
ashhadahsan/amazon_theme | 2023-10-02T17:14:23.000Z | [
"region:us"
] | ashhadahsan | null | null | null | 0 | 71 | ---
dataset_info:
features:
- name: Transcript
dtype: string
- name: Review Theme
dtype: string
splits:
- name: train
num_bytes: 285435
num_examples: 780
download_size: 0
dataset_size: 285435
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Datase... |
open-llm-leaderboard/details_meta-llama__Llama-2-7b-hf | 2023-09-20T14:40:04.000Z | [
"region:us"
] | open-llm-leaderboard | null | null | null | 0 | 71 | ---
pretty_name: Evaluation run of meta-llama/Llama-2-7b-hf
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on\
\ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderbo... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.