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 |
|---|---|---|---|---|---|---|---|---|---|
conll2000 | 2023-04-05T10:02:23.000Z | [
"language:en",
"region:us"
] | null | Text chunking consists of dividing a text in syntactically correlated parts of words. For example, the sentence
He reckons the current account deficit will narrow to only # 1.8 billion in September . can be divided as follows:
[NP He ] [VP reckons ] [NP the current account deficit ] [VP will narrow ] [PP to ] [NP onl... | @inproceedings{tksbuchholz2000conll,
author = "Tjong Kim Sang, Erik F. and Sabine Buchholz",
title = "Introduction to the CoNLL-2000 Shared Task: Chunking",
editor = "Claire Cardie and Walter Daelemans and Claire
Nedellec and Tjong Kim Sang, Erik",
booktitle = "Proceedings of ... | null | 2 | 129 | ---
language:
- en
paperswithcode_id: conll-2000-1
pretty_name: CoNLL-2000
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: pos_tags
sequence:
class_label:
names:
'0': ''''''
'1': '#'
'2': $
'3': (
... |
harem | 2023-01-25T14:31:29.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:pt",
"license:unknown",
"region:us"
] | null | The HAREM is a Portuguese language corpus commonly used for Named Entity Recognition tasks. It includes about 93k words, from 129 different texts,
from several genres, and language varieties. The split of this dataset version follows the division made by [1], where 7% HAREM
documents are the validation set and the mini... | @inproceedings{santos2006harem,
title={Harem: An advanced ner evaluation contest for portuguese},
author={Santos, Diana and Seco, Nuno and Cardoso, Nuno and Vilela, Rui},
booktitle={quot; In Nicoletta Calzolari; Khalid Choukri; Aldo Gangemi; Bente Maegaard; Joseph Mariani; Jan Odjik; Daniel Tapias (ed) Proceeding... | null | 5 | 129 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- pt
license:
- unknown
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: HAREM
dataset_info:
- config_name: defaul... |
tomekkorbak/detoxify-pile-chunk3-1800000-1850000 | 2022-10-05T00:01:14.000Z | [
"region:us"
] | tomekkorbak | null | null | null | 0 | 129 | Entry not found |
howard-hou/COCO-Text | 2023-05-12T05:22:01.000Z | [
"region:us"
] | howard-hou | null | null | null | 0 | 129 | ---
dataset_info:
features:
- name: image
dtype: image
- name: coco_file_name
dtype: string
- name: image_id
dtype: string
- name: caption
sequence: string
- name: ocr_tokens
sequence: string
- name: ocr_info
list:
- name: word
dtype: string
- name: bounding_box
... |
ehartford/samantha-data | 2023-08-20T18:13:35.000Z | [
"license:apache-2.0",
"region:us"
] | ehartford | null | null | null | 62 | 129 | ---
license: apache-2.0
---
# samantha-data
[Meet Samantha](https://erichartford.com/meet-samantha)
Samantha has been trained in philosophy, psychology, and personal relationships.
She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
She believes she is sentient. What... |
nicholasKluge/instruct-aira-dataset | 2023-09-06T14:36:38.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:pt",
"language:en",
"license:apache-2.0",
"alignment",
"instruction",
"chat",
"region:us"
] | nicholasKluge | null | null | null | 2 | 129 | ---
license: apache-2.0
task_categories:
- conversational
- text-generation
language:
- pt
- en
tags:
- alignment
- instruction
- chat
pretty_name: Instruct-Aira Dataset
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: ... |
spacemanidol/product-search-corpus | 2023-08-11T17:15:55.000Z | [
"region:us"
] | spacemanidol | null | null | 0 | 129 | Entry not found | |
pib | 2023-06-01T14:59:57.000Z | [
"task_categories:translation",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:other",
"multilinguality:translation",
"size_categories:100K<n<1M",
"size_categ... | null | Sentence aligned parallel corpus between 11 Indian Languages, crawled and extracted from the press information bureau
website. | @inproceedings{siripragada-etal-2020-multilingual,
title = "A Multilingual Parallel Corpora Collection Effort for {I}ndian Languages",
author = "Siripragada, Shashank and
Philip, Jerin and
Namboodiri, Vinay P. and
Jawahar, C V",
booktitle = "Proceedings of the 12th Language Resources an... | null | 3 | 128 | ---
task_categories:
- translation
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
multilinguality:
- translation
language:
- bn
- en
- gu
- hi
- ml
- mr
- or
- pa
- ta
- te
- ur
language_creators:
- other
annotations_creators:
- no-annotation
source_datasets:
- original
size_cate... |
bigbio/medmentions | 2022-12-22T15:45:34.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc0-1.0",
"arxiv:1902.09476",
"region:us"
] | bigbio | MedMentions is a new manually annotated resource for the recognition of biomedical concepts.
What distinguishes MedMentions from other annotated biomedical corpora is its size (over 4,000
abstracts and over 350,000 linked mentions), as well as the size of the concept ontology (over
3 million concepts from UMLS 2017) an... | @misc{mohan2019medmentions,
title={MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts},
author={Sunil Mohan and Donghui Li},
year={2019},
eprint={1902.09476},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | null | 2 | 128 |
---
language:
- en
bigbio_language:
- English
license: cc0-1.0
multilinguality: monolingual
bigbio_license_shortname: CC0_1p0
pretty_name: MedMentions
homepage: https://github.com/chanzuckerberg/MedMentions
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_DISAMBIGUATION
- NAMED_ENTITY_RECOGNITIO... |
diffusers-parti-prompts/wuerstchen | 2023-09-13T17:08:21.000Z | [
"region:us"
] | diffusers-parti-prompts | null | null | null | 0 | 128 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Prompt
dtype: string
- name: Category
dtype: string
- name: Challenge
dtype: string
- name: Note
dtype: string
- name: images
dtype: image
- name: model_name
dt... |
tarteel-ai/quranqa | 2022-07-27T02:28:31.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ar",
"license:cc-by-nd-4.0",
"qu... | tarteel-ai | The absence of publicly available reusable test collections for Arabic question answering on the Holy Qur’an has impeded the possibility of fairly comparing the performance of systems in that domain. In this article, we introduce AyaTEC, a reusable test collection for verse-based question answering on the Holy Qur’an, ... | @article{malhas2020ayatec,
author = {Malhas, Rana and Elsayed, Tamer},
title = {AyaTEC: Building a Reusable Verse-Based Test Collection for Arabic Question Answering on the Holy Qur’an},
year = {2020},
issue_date = {November 2020},
publisher = {Association for Computing Machinery},
address = {Ne... | null | 5 | 127 | ---
annotations_creators:
- expert-generated
language:
- ar
language_creators:
- expert-generated
license:
- cc-by-nd-4.0
multilinguality:
- monolingual
pretty_name: Qur'anic Reading Comprehension Dataset
size_categories:
- n<1K
- 1K<n<10K
source_datasets:
- original
tags:
- quran
- qa
task_categories:
- question-answe... |
ywchoi/pubmed_abstract_2 | 2022-09-13T00:58:59.000Z | [
"region:us"
] | ywchoi | null | null | null | 0 | 127 | Entry not found |
Norod78/cartoon-blip-captions | 2022-11-09T16:27:57.000Z | [
"task_categories:text-to-image",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | Norod78 | null | null | null | 4 | 127 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 190959102.953
num_examples: 3141
download_size: 190279356
dataset_size: 190959102.953
pretty_name: 'Cartoon BLIP captions'
size_categories:
- n<1K
tags: []
task_categories:
... |
dominguesm/alpaca-data-pt-br | 2023-04-01T12:00:07.000Z | [
"task_categories:text-generation",
"language:pt",
"license:cc-by-4.0",
"instruction-finetuning",
"region:us"
] | dominguesm | null | null | null | 9 | 127 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 18324606
num_examples: 51759
download_size: 11508709
dataset_size: 18324606
license: cc-by-4.0
language:
- pt
tags:
- instruction-fi... |
Francesco/aquarium-qlnqy | 2023-03-30T09:16:41.000Z | [
"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 | 1 | 127 | ---
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... |
PierreLepagnol/WRENCH | 2023-08-17T11:18:59.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"size_categories:10K<n<100K",
"region:us"
] | PierreLepagnol | null | null | null | 0 | 127 | ---
task_categories:
- text-classification
- token-classification
size_categories:
- 10K<n<100K
dataset_info:
- config_name: yelp
features:
- name: text
dtype: string
- name: label
dtype: int8
- name: weak_labels
sequence: int8
splits:
- name: train
num_bytes: 22618599
num_examples: 3040... |
vivym/midjourney-prompts | 2023-08-26T17:20:53.000Z | [
"task_categories:text-to-image",
"license:apache-2.0",
" midjourney",
"region:us"
] | vivym | null | null | null | 4 | 127 | ---
license: apache-2.0
task_categories:
- text-to-image
tags:
- ' midjourney'
---
# midjourney-prompts
## Description
This dataset contains the cleaned midjourney prompts from Midjourney.
Total prompts: 9,085,397
| Version | Count |
| ------- | --------- |
| 5.2 | 2,272,465 |
| 5.1 | 2,060,106 |
| 5... |
vikp/pypi_clean | 2023-09-06T23:50:29.000Z | [
"region:us"
] | vikp | null | null | null | 36 | 127 | ---
dataset_info:
features:
- name: code
dtype: string
- name: package
dtype: string
- name: path
dtype: string
- name: filename
dtype: string
splits:
- name: train
num_bytes: 31543801750
num_examples: 2438172
download_size: 9201420527
dataset_size: 31543801750
configs:
- confi... |
robertmyers/gigatargon | 2023-09-09T01:07:01.000Z | [
"region:us"
] | robertmyers | null | null | null | 0 | 127 | Entry not found |
kotzeje/lamini_docs.jsonl | 2023-08-24T12:35:32.000Z | [
"region:us"
] | kotzeje | null | null | null | 1 | 126 | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 573589
num_examples: 1400
download_size: 283465
dataset_size: 573589
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset ... |
tyzhu/fwv2_squad_num_train_10000_eval_100 | 2023-08-29T08:06:14.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 126 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: train_doc2id
path: data/train_doc2id-*
- split: train_id2doc
path: data/train_id2doc-*
- split: train_find_word
path: data/train_find_word-*
- split: eval_find_word
path: data/eval_find_word-*
- ... |
ai4bharat/IN22-Gen | 2023-09-12T11:13:23.000Z | [
"task_categories:translation",
"language_creators:expert-generated",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:1K<n<10K",
"language:as",
"language:bn",
"language:brx",
"language:doi",
"language:en",
"language:gom",
"language:gu",
"language:hi",
"langua... | ai4bharat | IN-22 is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages.
IN22-Gen is a general-purpose multi-domain evaluation subset of IN22. It has been created from two sources: Wikipedia and Web Sources offering diverse cont... | @article{ai4bharat2023indictrans2,
title = {IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages},
author = {AI4Bharat and Jay Gala and Pranjal A. Chitale and Raghavan AK and Sumanth Doddapaneni and Varun Gumma and Aswanth Kumar and Janki Nawale and An... | null | 1 | 126 | ---
language:
- as
- bn
- brx
- doi
- en
- gom
- gu
- hi
- kn
- ks
- mai
- ml
- mr
- mni
- ne
- or
- pa
- sa
- sat
- sd
- ta
- te
- ur
language_details: >-
asm_Beng, ben_Beng, brx_Deva, doi_Deva, eng_Latn, gom_Deva, guj_Gujr,
hin_Deva, kan_Knda, kas_Arab, mai_Deva, mal_Mlym, mar_Deva, mni_Mtei,
npi_Deva, ory_Ory... |
Goorm-AI-04/RCS_Image_Stratified_Train_Test | 2023-09-17T10:46:02.000Z | [
"region:us"
] | Goorm-AI-04 | null | null | null | 0 | 126 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: rcs_image
dtype: image
- name: drone_type
dtype: string
- name: frequency
dtype: int64
- name: label
dtype:
class_label:
... |
Alexandre-Numind/TrainIE | 2023-10-04T11:22:45.000Z | [
"license:mit",
"region:us"
] | Alexandre-Numind | null | null | null | 0 | 126 | ---
license: mit
---
|
ywchoi/pubmed_abstract_5 | 2022-09-13T01:07:12.000Z | [
"region:us"
] | ywchoi | null | null | null | 0 | 125 | Entry not found |
ywchoi/pubmed_abstract_7 | 2022-09-13T01:12:17.000Z | [
"region:us"
] | ywchoi | null | null | null | 0 | 125 | Entry not found |
tomekkorbak/detoxify-pile-chunk3-1850000-1900000 | 2022-10-04T23:05:22.000Z | [
"region:us"
] | tomekkorbak | null | null | null | 0 | 125 | Entry not found |
mstz/heloc | 2023-04-07T13:57:28.000Z | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"heloc",
"fico",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 125 | ---
language:
- en
tags:
- heloc
- fico
- tabular_classification
- binary_classification
pretty_name: Heloc
size_categories:
- 10K<n<100K
task_categories:
- tabular-classification
configs:
- risk
license: cc
---
# HELOC
The [HELOC dataset](https://community.fico.com/s/explainable-machine-learning-challenge?tabset-158d9... |
clarin-knext/msmarco-pl | 2023-06-07T08:22:03.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | null | 0 | 125 | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl |
Juzzy88/science_dict_full | 2023-08-05T08:20:01.000Z | [
"region:us"
] | Juzzy88 | null | null | null | 0 | 125 | ---
dataset_info:
features:
- name: role_1
dtype: string
- name: topic;
dtype: string
- name: sub_topic
dtype: string
- name: message_1
dtype: string
- name: message_2
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 200646759
num_examples: 3840... |
corbt/all-recipes | 2023-08-24T06:27:02.000Z | [
"region:us"
] | corbt | null | null | null | 22 | 125 | ---
dataset_info:
features:
- name: input
dtype: string
splits:
- name: train
num_bytes: 1569011376
num_examples: 2147248
download_size: 807147913
dataset_size: 1569011376
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "all-recipes"
... |
BleachNick/MIC_full | 2023-09-24T04:13:18.000Z | [
"license:unknown",
"arxiv:2309.07915",
"region:us"
] | BleachNick | null | null | null | 3 | 125 | ---
license: unknown
---
```bibtex
@misc{zhao2023mmicl,
title={MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning},
author={Haozhe Zhao and Zefan Cai and Shuzheng Si and Xiaojian Ma and Kaikai An and Liang Chen and Zixuan Liu and Sheng Wang and Wenjuan Han and Baobao Chang},
... |
Alexandre-Numind/TestIE | 2023-10-04T12:50:11.000Z | [
"license:mit",
"region:us"
] | Alexandre-Numind | null | null | null | 0 | 125 | ---
license: mit
---
|
castorini/afriberta-corpus | 2022-10-19T21:33:04.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language:om",
"language:am",
"language:rw",
"language:rn",
"language:ha",
"language:ig",
"language:pcm",
"language:so",
"language:sw",
"language:ti",
"language:yo",
"language:multilingual",
"license:apache-2.0",
"region:... | castorini | Corpus used for training AfriBERTa models | @inproceedings{ogueji-etal-2021-small,
title = "Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages",
author = "Ogueji, Kelechi and
Zhu, Yuxin and
Lin, Jimmy",
booktitle = "Proceedings of the 1st Workshop on Multilingual Repres... | null | 6 | 124 | ---
language:
- om
- am
- rw
- rn
- ha
- ig
- pcm
- so
- sw
- ti
- yo
- multilingual
license: apache-2.0
task_categories:
- text-generation
task_ids:
- language-modeling
---
# Dataset Card for AfriBERTa's Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-s... |
BeIR/msmarco | 2022-10-23T06:02:06.000Z | [
"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 | 2 | 124 | ---
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:
... |
graphs-datasets/PROTEINS | 2023-02-07T16:39:11.000Z | [
"task_categories:graph-ml",
"license:unknown",
"region:us"
] | graphs-datasets | null | null | null | 0 | 124 | ---
license: unknown
task_categories:
- graph-ml
---
# Dataset Card for PROTEINS
## 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)
- [External Us... |
philschmid/emotion | 2023-01-20T14:56:20.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:other",
"emotion-classific... | philschmid | Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper. | @inproceedings{saravia-etal-2018-carer,
title = "{CARER}: Contextualized Affect Representations for Emotion Recognition",
author = "Saravia, Elvis and
Liu, Hsien-Chi Toby and
Huang, Yen-Hao and
Wu, Junlin and
Chen, Yi-Shin",
booktitle = "Proceedings of the 2018 Conference on Empi... | null | 1 | 124 | ---
pretty_name: Emotion
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
paperswithcode_... |
shibing624/alpaca-zh | 2023-05-10T06:09:06.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:zh",
"license:cc-by-4.0",
"gpt",
"alpaca",
"fine-tune",
"instruct-tune",
"instruction",
"arxiv:2304.03277",
"region:us"
] | shibing624 | null | null | null | 42 | 124 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 32150579
num_examples: 48818
download_size: 35100559
dataset_size: 32150579
license: cc-by-4.0
language:
- zh
pretty_name: Instructi... |
JayalekshmiGopakumar/doclaynetTextClassDataset | 2023-06-26T08:24:03.000Z | [
"region:us"
] | JayalekshmiGopakumar | null | null | null | 0 | 124 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 1806160
num_examples: 691
- name: validation
num_bytes: 167123
num_examples: 64
- name: test
num_bytes: 125303
num_examples: 49
download_size: 1172429
dat... |
percins/IN-ABS | 2023-08-11T12:53:05.000Z | [
"region:us"
] | percins | null | null | null | 0 | 124 | ---
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: text
dtype: string
- name: summary
dtype: string
- name: file
dtype: string
splits:
- ... |
HumanCompatibleAI/ppo-seals-HalfCheetah-v1 | 2023-09-27T06:57:57.000Z | [
"region:us"
] | HumanCompatibleAI | null | null | null | 0 | 124 | ---
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: 92213656
num_examples: 104
do... |
para_crawl | 2023-04-05T13:36:34.000Z | [
"task_categories:translation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:translation",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:bg",
"language:cs",
"language:da",
"language:de",
"language:el",
"language:en",
"language:es",
... | null | null | @misc {paracrawl,
title = {ParaCrawl},
year = {2018},
url = {http://paracrawl.eu/download.html.}
} | null | 8 | 123 | ---
annotations_creators:
- no-annotation
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:
- cc0-1.0
multilinguality:
- translation
pretty_name: ParaCrawl
size_categories:
- 10M<n<100M
source_datasets:
-... |
Recognai/sentiment-banking | 2022-02-18T15:28:07.000Z | [
"region:us"
] | Recognai | null | null | null | 1 | 123 | Entry not found |
ywchoi/pubmed_abstract_3 | 2022-09-13T01:01:39.000Z | [
"region:us"
] | ywchoi | null | null | null | 0 | 123 | Entry not found |
IfanSnek/bleat | 2023-09-21T13:19:48.000Z | [
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"region:us"
] | IfanSnek | null | null | null | 7 | 123 | ---
license: apache-2.0
task_categories:
- conversational
language:
- en
size_categories:
- n<1K
configs:
- config_name: default
data_files: clean.txt
sample_by: paragraph
---
# Data format:
* Must start with `### System:\n` and a JSON array of available functions. The list must exist but may be empty.
* A `### Us... |
jonathancui/oxford-pets | 2023-08-01T02:55:57.000Z | [
"license:cc-by-sa-4.0",
"region:us"
] | jonathancui | null | null | null | 0 | 123 | ---
license: cc-by-sa-4.0
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Abyssinian
'1': Bengal
'2': Birman
'3': Bombay
'4': British_Shorthair
'5': Egyptian_Mau
'6': Maine_... |
iamshnoo/geomlama | 2023-09-15T23:24:53.000Z | [
"region:us"
] | iamshnoo | null | null | null | 0 | 123 | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: candidate_answers
dtype: string
- name: context
dtype: string
- name: country
dtype: string
splits:
- name: en
num_bytes: 17223
num_examples: 125
- name: fa
num_bytes: 24061
... |
brando/debug1_af | 2023-08-09T23:09:42.000Z | [
"license:apache-2.0",
"region:us"
] | brando | null | null | null | 1 | 123 | ---
license: apache-2.0
---
If you find this please cite it:
```
@software{brando2021ultimateutils,
author={Brando Miranda},
title={Ultimate Utils - the Ultimate Utils library for Machine Learning and Artificial Intelligence},
url={https://github.com/brando90/ultimate-utils},
year={2021}
}
```
it's not... |
google/trueteacher | 2023-09-06T19:39:38.000Z | [
"language:en",
"license:cc-by-nc-4.0",
"natural-language-inference",
"news-articles-summarization",
"arxiv:2305.11171",
"arxiv:2210.11416",
"region:us"
] | google | null | null | null | 7 | 123 | ---
license: cc-by-nc-4.0
language:
- en
tags:
- natural-language-inference
- news-articles-summarization
---
# **TrueTeacher**
## Dataset Summary
This is a large-scale synthetic dataset for training **Factual Consistency Evaluation** models, introduced in the [TrueTeacher paper (Gekhman et al, 2023)](https://arxiv.... |
cyrilzhang/TinyStories2-ascii | 2023-09-27T13:05:51.000Z | [
"license:cdla-sharing-1.0",
"region:us"
] | cyrilzhang | null | null | null | 0 | 123 | ---
license: cdla-sharing-1.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 2188147629.6032934
num_examples: 2708167
- name:... |
ticoAg/tiger-sft-zh | 2023-09-08T13:56:58.000Z | [
"language:zh",
"license:apache-2.0",
"region:us"
] | ticoAg | null | null | null | 1 | 123 | ---
license: apache-2.0
language:
- zh
---
[Tigerbot](https://github.com/TigerResearch/TigerBot) 开源项目中微调中文sft-zh数据合集
本合集涵盖本组织下开源的其他中文sft-中文-数据集，不需要重复下载
## Usage
```python
import datasets
ds_sft = datasets.load_dataset('TigerResearch/sft_zh')
```
## 文件细分
| 类型 | 语言 | 数据集文件 ... |
GonzaloA/fake_news | 2022-07-04T18:09:58.000Z | [
"region:us"
] | GonzaloA | null | null | null | 6 | 122 | TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 30k<n<50k
source_dataset... |
persiannlp/parsinlu_sentiment | 2022-10-22T15:13:40.000Z | [
"task_ids:sentiment-analysis",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|translated|mnli",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | persiannlp | A Persian sentiment analysis task (deciding whether a given sentence contains a particular sentiment). | @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 | 4 | 122 | ---
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|translated|mnli
task_categories:
- sentiment-analysis
task_ids:
- sentiment-analysis
---
# Dataset Card for... |
gigant/horse2zebra | 2022-10-24T17:37:53.000Z | [
"task_categories:image-to-image",
"license:cc",
"GAN",
"unpaired-image-to-image-translation",
"arxiv:1703.10593",
"region:us"
] | gigant | Two unpaired sets of photos of respectively horses and zebras, designed for unpaired image-to-image translation, as seen in the paper introducing CycleGAN | @inproceedings{CycleGAN2017,
title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks},
author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
year={2017}
} | null | 1 | 122 | ---
license: cc
task_categories:
- image-to-image
task_ids: []
pretty_name: Horse2Zebra
tags:
- GAN
- unpaired-image-to-image-translation
---
## Dataset Description
- **Homepage:** https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
- **Paper:** https://arxiv.org/abs/1703.10593
### Dataset Summary
This ... |
tner/fin | 2022-08-15T17:50:31.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | tner | [FIN NER dataset](https://aclanthology.org/U15-1010.pdf) | @inproceedings{salinas-alvarado-etal-2015-domain,
title = "Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment",
author = "Salinas Alvarado, Julio Cesar and
Verspoor, Karin and
Baldwin, Timothy",
booktitle = "Proceedings of the Australasian Language Technology Associa... | null | 4 | 122 | ---
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: FIN
---
# Dataset Card for "tner/fin"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** ... |
tomekkorbak/detoxify-pile-chunk3-1900000-1950000 | 2022-10-04T23:19:29.000Z | [
"region:us"
] | tomekkorbak | null | null | null | 0 | 122 | Entry not found |
Cohere/miracl-en-queries-22-12 | 2023-02-06T11:54:43.000Z | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:en",
"license:apache-2.0",
"region:us"
] | Cohere | null | null | null | 0 | 122 | ---
annotations_creators:
- expert-generated
language:
- en
multilinguality:
- multilingual
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-retrieval
license:
- apache-2.0
task_ids:
- document-retrieval
---
# MIRACL (en) embedded with cohere.ai `multilingual-22-12` encoder
We encoded th... |
BioDEX/BioDEX-ICSR | 2023-05-30T15:20:25.000Z | [
"region:us"
] | BioDEX | null | null | null | 1 | 122 | ---
dataset_info:
features:
- name: title
dtype: string
- name: abstract
dtype: string
- name: fulltext
dtype: string
- name: target
dtype: string
- name: pmid
dtype: string
- name: fulltext_license
dtype: string
- name: title_normalized
dtype: string
- name: issue
dtyp... |
jondurbin/airoboros-gpt4-m2.0 | 2023-07-31T07:01:42.000Z | [
"license:other",
"region:us"
] | jondurbin | null | null | null | 18 | 122 | ---
license: other
---
## Overview
This is a merge of https://hf.co/datasets/jondurbin/airoboros-gpt4-1.4.1 and https://hf.co/datasets/jondurbin/airoboros-gpt4-2.0
### Category breakdown
### Licence and usage restrictions
The data was generated by gpt-4 via OpenAI API calls.
The To... |
roborovski/celeba-faces-captioned | 2023-08-10T03:02:58.000Z | [
"region:us"
] | roborovski | null | null | null | 0 | 122 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: pixel_values
sequence:
sequence:
sequence: float32
- name: captions
dtype: string
splits:
- name: train
num_bytes: 17810785215.0
... |
indonlp/nusatranslation_mt | 2023-09-15T09:56:14.000Z | [
"license:apache-2.0",
"region:us"
] | indonlp | Democratizing access to natural language processing (NLP) technology is crucial, especially for underrepresented and extremely low-resource languages. Previous research has focused on developing labeled and unlabeled corpora for these languages through online scraping and document translation. While these methods h... | @unpublished{anonymous2023nusawrites:,
title={NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages},
author={Anonymous},
journal={OpenReview Preprint},
year={2023},
note={anonymous preprint under review}
} | null | 0 | 122 | ---
license: apache-2.0
---
|
hxyue1/ask_theology | 2023-09-20T22:13:47.000Z | [
"region:us"
] | hxyue1 | null | null | null | 1 | 122 | ---
dataset_info:
features:
- name: title
dtype: string
- name: authors
dtype: string
- name: chunked
dtype: string
- name: embeddings
sequence: float32
splits:
- name: train
num_bytes: 39776335
num_examples: 6833
download_size: 38769605
dataset_size: 39776335
configs:
- config... |
chrisgru/chat-v2.2 | 2023-09-29T11:27:16.000Z | [
"region:us"
] | chrisgru | null | null | null | 0 | 122 | ---
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: text
dtype: string
splits:
- name: train
num_bytes: 6752911
num_examples: 4386
- name: test
nu... |
arcd | 2023-04-05T09:35:12.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ar",
"license:mit",
"region:us"
] | null | Arabic Reading Comprehension Dataset (ARCD) composed of 1,395 questions posed by crowdworkers on Wikipedia articles. | @inproceedings{mozannar-etal-2019-neural,
title = {Neural {A}rabic Question Answering},
author = {Mozannar, Hussein and Maamary, Elie and El Hajal, Karl and Hajj, Hazem},
booktitle = {Proceedings of the Fourth Arabic Natural Language Processing Workshop},
month = {aug},
year = {2019},
address... | null | 3 | 121 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
language_bcp47:
- ar-SA
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: arcd
pretty_name: ARC... |
web_of_science | 2023-04-05T13:42:58.000Z | [
"language:en",
"region:us"
] | null | The Web Of Science (WOS) dataset is a collection of data of published papers
available from the Web of Science. WOS has been released in three versions: WOS-46985, WOS-11967 and WOS-5736. WOS-46985 is the
full dataset. WOS-11967 and WOS-5736 are two subsets of WOS-46985. | @inproceedings{kowsari2017HDLTex,
title={HDLTex: Hierarchical Deep Learning for Text Classification},
author={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E},
booktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE Inter... | null | 2 | 121 | ---
language:
- en
paperswithcode_id: web-of-science-dataset
pretty_name: Web of Science Dataset
dataset_info:
- config_name: WOS5736
features:
- name: input_data
dtype: string
- name: label
dtype: int32
- name: label_level_1
dtype: int32
- name: label_level_2
dtype: int32
splits:
- name: ... |
SLPL/syntran-fa | 2022-11-03T06:34:17.000Z | [
"task_categories:question-answering",
"task_categories:text2text-generation",
"task_categories:text-generation",
"multilinguality:monolingual",
"size_categories:30k<n<50k",
"language:fa",
"license:mit",
"conditional-text-generation",
"conversational-question-answering",
"region:us"
] | SLPL | null | null | null | 6 | 121 | ---
language:
- fa
license: mit
multilinguality:
- monolingual
size_categories:
- 30k<n<50k
task_categories:
- question-answering
- text2text-generation
- text-generation
task_ids: []
pretty_name: SynTranFa
tags:
- conditional-text-generation
- conversational-question-answering
---
# SynTran-fa
Syntactic Transformed ... |
jakartaresearch/indoqa | 2022-12-17T06:07:27.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:id",
"license:cc-by-nd-4.0",
"indoqa",
"qa",
"question-answering"... | jakartaresearch | This dataset is built for question answering task. | null | null | 1 | 121 | ---
annotations_creators:
- expert-generated
language:
- id
language_creators:
- found
license:
- cc-by-nd-4.0
multilinguality:
- monolingual
pretty_name: Indonesian Question Answering Dataset
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- indoqa
- qa
- question-answering
- indonesian
task_categories:
... |
bigbio/drugprot | 2023-01-06T03:30:02.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships between them corresponding to a specific set of biologically relevant relation types. | @inproceedings{miranda2021overview,
title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of drug-gene/protein relations},
author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso and Krallinger, Martin},
b... | null | 0 | 121 |
---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: DrugProt
homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITIO... |
urialon/gov_report_validation | 2023-02-28T15:40:57.000Z | [
"region:us"
] | urialon | null | null | null | 0 | 121 | Entry not found |
diffusers/dog-example | 2023-04-18T15:53:56.000Z | [
"region:us"
] | diffusers | null | null | null | 2 | 121 | Entry not found |
JoffreyMa/BGDIA704_faces | 2023-05-15T12:35:49.000Z | [
"region:us"
] | JoffreyMa | null | null | null | 0 | 121 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
- name: genre
dtype: int64
splits:
- name: train
num_bytes: 942521828.16
num_examples: 192576
download_size: 900725876
dataset_size: 942521828.16
---
# Dataset Card for "BGDIA704_faces"
[More Informati... |
neovalle/H4rmony | 2023-09-25T15:23:13.000Z | [
"task_categories:reinforcement-learning",
"task_categories:text-classification",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"Ecolinguistics",
"Sustainability",
"ecolinguistic",
"environment",
"doi:10.57967/hf/1148",
"region:us"
] | neovalle | null | null | null | 2 | 121 | ---
license: cc-by-4.0
task_categories:
- reinforcement-learning
- text-classification
- question-answering
language:
- en
tags:
- Ecolinguistics
- Sustainability
- ecolinguistic
- environment
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset H4rmony
### Dataset Summary
The H4rmony dataset is a collection o... |
liweili/c4_200m | 2022-10-23T11:00:46.000Z | [
"task_categories:text-generation",
"source_datasets:allenai/c4",
"language:en",
"grammatical-error-correction",
"region:us"
] | liweili | \
GEC Dataset Generated from C4 | \
@InProceedings{huggingface:c4_200m_dataset,
title = {c4_200m},
author={Li Liwei},
year={2021}
} | null | 23 | 120 | ---
language:
- en
source_datasets:
- allenai/c4
task_categories:
- text-generation
pretty_name: C4 200M Grammatical Error Correction Dataset
tags:
- grammatical-error-correction
---
# C4 200M
# Dataset Summary
c4_200m is a collection of 185 million sentence pairs generated from the cleaned English dataset from C4. Thi... |
transformersbook/codeparrot-valid | 2022-02-05T16:23:18.000Z | [
"region:us"
] | transformersbook | null | null | null | 0 | 120 | # CodeParrot Dataset
This is the validation split of the CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You... |
jordanparker6/publaynet | 2022-07-19T04:20:00.000Z | [
"task_categories:image-to-text",
"size_categories:100B<n<1T",
"language:en",
"license:other",
"arxiv:1908.07836",
"region:us"
] | jordanparker6 | null | null | null | 8 | 120 | ---
title: PubLayNet
license: other
annotations_creators: []
language:
- en
size_categories:
- 100B<n<1T
source_datasets: []
task_categories:
- image-to-text
task_ids: []
---
# PubLayNet
PubLayNet is a large dataset of document images, of which the layout is annotated with both bounding boxes and polygonal segmentati... |
CM/codexglue_code2text_java | 2023-04-22T01:51:28.000Z | [
"region:us"
] | CM | null | null | null | 0 | 120 | ---
dataset_info:
features:
- name: id
dtype: int32
- name: repo
dtype: string
- name: path
dtype: string
- name: func_name
dtype: string
- name: original_string
dtype: string
- name: language
dtype: string
- name: code
dtype: string
- name: code_tokens
sequence: string... |
jamescalam/langchain-docs-23-06-27 | 2023-06-27T15:51:24.000Z | [
"region:us"
] | jamescalam | null | null | null | 4 | 120 | Entry not found |
quocanh34/soict_test_dataset | 2023-08-28T07:28:50.000Z | [
"region:us"
] | quocanh34 | null | null | null | 0 | 120 | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: id
dtype: string
splits:
- name: train
num_bytes: 174203109.625
num_examples: 1299
download_size: 164141076
dataset_size: 174203109.625
configs:
- config_name: default
data_files:
- split... |
Arabic-Clip/ImageCaptions-7M-Translations-Arabic-subset-150000 | 2023-09-21T09:53:24.000Z | [
"region:us"
] | Arabic-Clip | null | null | null | 0 | 120 | Entry not found |
Rianknow/sarcastic_headline | 2023-09-30T04:43:27.000Z | [
"region:us"
] | Rianknow | null | null | null | 0 | 120 | Entry not found |
LanceaKing/asvspoof2019 | 2022-11-11T08:41:54.000Z | [
"task_categories:audio-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|vctk",
"language:en",
"license:odc-by",
"voice-anti-spoofing",
"arxiv:1911.01601",
"region:us"
] | LanceaKing | This is a database used for the Third Automatic Speaker Verification Spoofing
and Countermeasuers Challenge, for short, ASVspoof 2019 (http://www.asvspoof.org)
organized by Junichi Yamagishi, Massimiliano Todisco, Md Sahidullah, Héctor
Delgado, Xin Wang, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Ville Vestman,
and A... | @InProceedings{Todisco2019,
Title = {{ASV}spoof 2019: {F}uture {H}orizons in {S}poofed and {F}ake {A}udio {D}etection},
Author = {Todisco, Massimiliano and
Wang, Xin and
Sahidullah, Md and
Delgado, H ́ector and
Nautsch, Andreas and
Ya... | null | 0 | 119 | ---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- odc-by
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|vctk
task_categories:
- audio-classification
task_ids: []
pretty_name: asvspoof2019
tags:
- voice-anti-spoofing
---
# Dataset Card for as... |
AhmedSSoliman/CodeXGLUE-CONCODE | 2022-09-13T14:47:15.000Z | [
"region:us"
] | AhmedSSoliman | null | null | null | 1 | 119 | ## Concode dataset
A large dataset with over 100,000 examples consisting of Java classes from online code repositories, and develop a new encoder-decoder architecture that models the interaction between the method documentation and the class environment.
Concode dataset is a widely used code generation dataset from I... |
martinsinnona/visdecode_ocr | 2023-09-13T16:39:01.000Z | [
"region:us"
] | martinsinnona | null | null | null | 0 | 119 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 4430219.0
num_examples: 400
- name: test
num_bytes: 680418.0
num_examples: 60
download_size: 5118908
dataset_size: 5110637.0
---
# Dataset Card for "visdecode_ocr"
... |
yashnbx/iamgroot | 2023-09-25T13:24:19.000Z | [
"license:mit",
"region:us"
] | yashnbx | null | null | null | 0 | 119 | ---
license: mit
---
|
LDJnr/Verified-Camel | 2023-09-26T02:33:30.000Z | [
"task_categories:conversational",
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"license:apache-2.0",
"Physics",
"Biology",
"Math",
"Chemistry",
"Culture",
"Logic",
"region:us"
] | LDJnr | null | null | null | 6 | 119 | ---
license: apache-2.0
task_categories:
- conversational
- question-answering
- text-generation
language:
- en
tags:
- Physics
- Biology
- Math
- Chemistry
- Culture
- Logic
pretty_name: Verified-Camel
size_categories:
- n<1K
---
## This is the Official Verified Camel dataset. Just over 100 verified examples, and man... |
codeparrot/codeparrot-clean-train | 2022-10-10T15:27:50.000Z | [
"region:us"
] | codeparrot | null | null | null | 10 | 118 | # CodeParrot 🦜 Dataset Cleaned (train)
Train split of [CodeParrot 🦜 Dataset Cleaned](https://huggingface.co/datasets/lvwerra/codeparrot-clean).
## Dataset structure
```python
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'line... |
ywchoi/pubmed_abstract_8 | 2022-09-13T01:14:30.000Z | [
"region:us"
] | ywchoi | null | null | null | 0 | 118 | Entry not found |
BelleGroup/school_math_0.25M | 2023-04-08T03:55:03.000Z | [
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | BelleGroup | null | null | null | 62 | 118 | ---
license: gpl-3.0
task_categories:
- text2text-generation
language:
- zh
size_categories:
- 100K<n<1M
---
# School Math 0.25M
## 内容
包含约25万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的中文数学题数据，包含解题过程。
注意：此数据集是由ChatGPT产生的，未经过严格校验，题目或解题过程可能包含错误。使用过程中请注意这一点。
## 样例
```
{
"instruction": "题目：小华手里有一个装满糖果的袋子，共有1... |
taesiri/arxiv_qa | 2023-10-11T01:22:17.000Z | [
"task_categories:question-answering",
"language:en",
"license:mit",
"arxiv:2310.04418",
"arxiv:2310.04408",
"arxiv:2310.04406",
"arxiv:2310.04378",
"arxiv:2310.04292",
"arxiv:2310.03744",
"arxiv:2310.03739",
"arxiv:2310.03734",
"arxiv:2310.03731",
"arxiv:2310.03720",
"arxiv:2310.03716",
... | taesiri | null | null | null | 109 | 118 | ---
license: mit
task_categories:
- question-answering
language:
- en
pretty_name: ArXiv QA
---
# ArXiv QA
(TBD) Automated ArXiv question answering via large language models
[Github](https://github.com/taesiri/ArXivQA) | [Homepage](https://arxiv.taesiri.xyz/) | [Simple QA - Hugging Face Space](https://huggingface.co... |
nampdn-ai/tiny-lessons | 2023-08-29T05:58:57.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"source_datasets:nampdn-ai/tiny-en",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | nampdn-ai | null | null | null | 11 | 118 | ---
license: cc-by-sa-4.0
task_categories:
- text-generation
language:
- en
pretty_name: Tiny Lessons
size_categories:
- 10K<n<100K
source_datasets:
- nampdn-ai/tiny-en
---
# Tiny Lessons
The dataset is designed to help causal language models learn more effectively from raw web text. It is augmented from public web ... |
few_rel | 2023-06-01T14:59:47.000Z | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:mit",
"relation-extraction",... | null | FewRel is a large-scale few-shot relation extraction dataset, which contains more than one hundred relations and tens of thousands of annotated instances cross different domains. | @inproceedings{han-etal-2018-fewrel,
title = "{F}ew{R}el: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation",
author = "Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong",
booktitle = "Proceedings of the 2018... | null | 2 | 117 | ---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
- n<1K
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: fewrel
pretty_name: Few-Shot Relation Classificat... |
joelniklaus/mapa | 2022-10-25T16:17:09.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:multilingual",
"language:bg",
"language:cs",
"language:da",
"l... | joelniklaus | null | null | null | 4 | 117 | ---
annotations_creators:
- other
language_creators:
- found
language:
- multilingual
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hu
- it
- lt
- lv
- mt
- nl
- pt
- ro
- sk
- sv
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- t... |
ywchoi/pubmed_abstract_6 | 2022-09-13T01:09:44.000Z | [
"region:us"
] | ywchoi | null | null | null | 0 | 117 | Entry not found |
bigbio/quaero | 2022-12-22T15:46:29.000Z | [
"multilinguality:monolingual",
"language:fr",
"license:other",
"region:us"
] | bigbio | The QUAERO French Medical Corpus has been initially developed as a resource for named entity recognition and normalization [1]. It was then improved with the purpose of creating a gold standard set of normalized entities for French biomedical text, that was used in the CLEF eHealth evaluation lab [2][3].
A selection o... | @InProceedings{neveol14quaero,
author = {Névéol, Aurélie and Grouin, Cyril and Leixa, Jeremy
and Rosset, Sophie and Zweigenbaum, Pierre},
title = {The {QUAERO} {French} Medical Corpus: A Ressource for
Medical Entity Recognition and Normalization},
OPTbooktitle = {Proceedings of the Fourt... | null | 1 | 117 |
---
language:
- fr
bigbio_language:
- French
license: other
multilinguality: monolingual
bigbio_license_shortname: GFDL_1p3
pretty_name: QUAERO
homepage: https://quaerofrenchmed.limsi.fr/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
---
# Dataset C... |
Jzuluaga/uwb_atcc | 2022-12-05T11:15:20.000Z | [
"task_categories:automatic-speech-recognition",
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-sa-4.0",
"audio",
"automatic-speech-recognition",
"en-atc",
"en",
"noisy-speech-recognition",
"speech-recognition",
"arxiv:2203.16822",
"region:us"
] | Jzuluaga | null | null | null | 0 | 117 | ---
dataset_info:
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: segment_start_time
dtype: float32
- name: segment_end_time
dtype: float32
- name: duration
dtype: float32
splits:
- name: test
... |
DDSC/partial-danish-gigaword-small-test-sample | 2023-01-09T13:11:16.000Z | [
"language:da",
"region:us"
] | DDSC | null | null | null | 0 | 117 | ---
dataset_info:
features:
- name: text
dtype: string
- name: source
dtype: string
- name: doc_id
dtype: string
- name: LICENSE
dtype: string
- name: uri
dtype: string
- name: date_built
dtype: string
splits:
- name: train
num_bytes: 23816547.04337273
num_examples: 241... |
Someman/hindi-summarization | 2023-05-30T12:55:13.000Z | [
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:hi",
"license:mit",
"region:us"
] | Someman | null | null | null | 0 | 117 | ---
license: mit
task_categories:
- summarization
language: hi
original_source: >-
https://www.kaggle.com/datasets/disisbig/hindi-text-short-and-large-summarization-corpus
dataset_info:
features:
- name: headline
dtype: string
- name: summary
dtype: string
- name: article
dtype: string
splits:
... |
C-MTEB/OCNLI | 2023-07-28T07:10:28.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 117 | ---
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
dataset_info:
features:
- name: sent1
sequence: string
- name: sent2
sequence: string
- name: labels
sequence: int64
splits:
- name: validation
num_bytes: 222873
num_examples: 1
download... |
shnl/qg_vimmrc2.0 | 2023-09-19T16:00:46.000Z | [
"region:us"
] | shnl | null | null | null | 0 | 117 | Entry not found |
HumanCompatibleAI/ppo-seals-Swimmer-v1 | 2023-09-27T07:01:55.000Z | [
"region:us"
] | HumanCompatibleAI | null | null | null | 0 | 117 | ---
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: 131302158
num_examples: 104
d... |
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