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 |
|---|---|---|---|---|---|---|---|---|---|
juancavallotti/multilingual-gec | 2023-01-06T18:59:59.000Z | [
"task_categories:translation",
"size_categories:100K<n<1M",
"language:en",
"language:es",
"language:fr",
"language:de",
"license:apache-2.0",
"grammar",
"gec",
"multi language",
"language detection",
"region:us"
] | juancavallotti | null | null | null | 2 | 81 | ---
author: Juan Alberto López Cavallotti
date: Jan 6, 2023
license: apache-2.0
task_categories:
- translation
language:
- en
- es
- fr
- de
tags:
- grammar
- gec
- multi language
- language detection
pretty_name: Multi Lingual Grammar Error Correction Dataset
size_categories:
- 100K<n<1M
---
# Dataset Card for Multil... |
BelleGroup/generated_chat_0.4M | 2023-04-08T03:55:12.000Z | [
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | BelleGroup | null | null | null | 38 | 81 | ---
license: gpl-3.0
task_categories:
- text2text-generation
language:
- zh
size_categories:
- 100K<n<1M
---
# Generated_Chat_0.4M
## 内容
包含约40万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的个性化角色对话数据，包含角色介绍。
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": "于以下角色信息完成一段对话\nAl... |
mstz/wine_origin | 2023-04-16T18:06:09.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"wine_origin",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_wine_origin_database_generator_(version_2)_108,
author = {Breiman,L. & Stone,C.J.},
title = {{Waveform Database Generator (Version 2)}},
year = {1988},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C56014}}
} | null | 0 | 81 | ---
language:
- en
tags:
- wine_origin
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Wine Origin
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- wine_origin
- wine_origin_0
- wine_origin_1
- wine_origin_2
license: cc
---
# Wine Origin
The [W... |
CM/codexglue_code2text_javascript | 2023-04-22T01:51:42.000Z | [
"region:us"
] | CM | null | null | null | 1 | 81 | ---
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... |
edarchimbaud/extended-trading-stocks | 2023-10-07T23:16:04.000Z | [
"task_categories:tabular-regression",
"language:en",
"license:mit",
"region:us"
] | edarchimbaud | null | null | null | 2 | 81 | ---
language:
- en
license: mit
task_categories:
- tabular-regression
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: time
dtype: string
- name: price
dtype: float64
- name: share_volume
dtype: string
splits:
- name: train
num_bytes: 844245... |
Andyrasika/alpaca-bitcoin-sentiment-dataset | 2023-07-15T10:22:53.000Z | [
"license:apache-2.0",
"region:us"
] | Andyrasika | null | null | null | 3 | 81 | ---
license: apache-2.0
---
|
mertkarabacak/NCDB-Meningioma | 2023-09-18T19:25:32.000Z | [
"region:us"
] | mertkarabacak | null | null | null | 0 | 81 | Entry not found |
distil-whisper/spgispeech-timestamped | 2023-09-25T10:28:51.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:other",
"region:us"
] | distil-whisper | The SPGISpeech corpus is derived from company earnings calls manually transcribed by S&P Global, Inc. according to a pro- fessional style guide detailing conventions for capitalization, punctuation, denormalization of non-standard words and tran- scription of disfluencies in spontaneous speech. The basic unit of SPGISp... | @ARTICLE{2021arXiv210402014O,
author = {{O'Neill}, Patrick K. and {Lavrukhin}, Vitaly and {Majumdar}, Somshubra and {Noroozi}, Vahid and {Zhang}, Yuekai and {Kuchaiev}, Oleksii and {Balam}, Jagadeesh and {Dovzhenko}, Yuliya and {Freyberg}, Keenan and {Shulman}, Michael D. and {Ginsburg}, Boris and {Watanabe}, Sh... | null | 0 | 81 | ---
license: other
task_categories:
- automatic-speech-recognition
language:
- en
extra_gated_prompt: |-
Your access to and use of the information in the Kensho Transcript Dataset (the “Content”), which is provided by Kensho Technologies, LLC, a subsidiary of S&P Global, Inc., (“Kensho”), shall be governed by the f... |
dmrau/trec_dl20-qrels | 2023-10-09T08:28:57.000Z | [
"region:us"
] | dmrau | null | null | null | 0 | 81 | ---
dataset_info:
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: string
splits:
- name: test
num_bytes: 298319
num_examples: 11386
download_size: 0
dataset_size: 298319
configs:
- config_name: default
data_files:
- split: test
pa... |
ARTeLab/ilpost | 2022-11-17T02:50:32.000Z | [
"task_categories:summarization",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"language:it",
"region:us"
] | ARTeLab | null | null | null | 1 | 80 | ---
language:
- it
multilinguality:
- monolingual
size_categories:
- 10K<n<100k
task_categories:
- summarization
---
# Dataset Card for ilpost
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Langua... |
ITESM/embedded_faqs_medicare | 2022-06-14T22:06:28.000Z | [
"region:us"
] | ITESM | null | null | null | 0 | 80 | Entry not found |
gonzalobenegas/clinvar | 2023-02-09T23:32:45.000Z | [
"region:us"
] | gonzalobenegas | null | null | null | 0 | 80 | Entry not found |
vietgpt/news_summarization_vi | 2023-07-04T05:30:39.000Z | [
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:vi",
"LM",
"region:us"
] | vietgpt | null | null | null | 0 | 80 | ---
dataset_info:
features:
- name: content
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 213621060.91992286
num_examples: 65361
- name: test
num_bytes: 3268326.0800771536
num_examples: 1000
download_size: 117151304
dataset_size: 216889387
language:... |
venetis/symptom_text_to_disease_mk3 | 2023-03-09T13:24:21.000Z | [
"region:us"
] | venetis | null | null | null | 0 | 80 | ---
dataset_info:
features:
- name: text
dtype: string
- name: labels
dtype:
class_label:
names:
'0': emotional pain
'1': hair falling out
'2': heart hurts
'3': infected wound
'4': foot ache
'5': shoulder pain
'6': injury ... |
distil-whisper/tedlium-long-form | 2023-05-22T14:04:04.000Z | [
"region:us"
] | distil-whisper | null | null | null | 0 | 80 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: speaker_id
dtype: string
splits:
- name: validation
num_bytes: 180166870.0
num_examples: 8
- name: test
num_bytes: 285107770.0
num_examples: 11
download_size: 284926490
dataset_size: 4... |
clarin-knext/hotpotqa-pl | 2023-06-07T08:13:33.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | null | 0 | 80 | ---
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 |
tuetschek/atis | 2023-06-11T18:24:58.000Z | [
"region:us"
] | tuetschek | null | null | null | 0 | 80 | Entry not found |
flozi00/conversations | 2023-10-05T08:48:09.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"language:de",
"region:us"
] | flozi00 | null | null | null | 9 | 80 | ---
language:
- de
task_categories:
- conversational
- text-generation
dataset_info:
features:
- name: conversations
dtype: string
- name: from
dtype: string
- name: labels
dtype: string
splits:
- name: train
num_bytes: 267894207
num_examples: 154491
download_size: 137401054
dataset_... |
qgyd2021/chinese_ner_sft | 2023-10-07T11:36:27.000Z | [
"task_categories:token-classification",
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:100M<n<1B",
"language:zh",
"license:apache-2.0",
"ner",
"region:us"
] | qgyd2021 | null | @dataset{chinese_ner_sft,
author = {Xing Tian},
title = {chinese_ner_sft},
month = sep,
year = 2023,
publisher = {Xing Tian},
version = {1.0},
} | null | 8 | 80 | ---
task_categories:
- token-classification
- question-answering
- text-generation
- text2text-generation
language:
- zh
tags:
- ner
size_categories:
- 100M<n<1B
license: apache-2.0
---
## 中文实体识别指令数据集
收集开源的实体识别数据集, 将其制作为 sft 数据集用于 LLM 微调.
该数据集的目的是构建通用实体识别的LLM研究.
数据集分为三大类:
`{dataset_name}`, `{dataset_name}_template... |
Cubpaw/voxelgym3D_5c_3x42x42x42_10 | 2023-09-13T15:02:08.000Z | [
"region:us"
] | Cubpaw | null | null | null | 0 | 80 | ---
dataset_info:
features:
- name: image
sequence:
sequence:
sequence:
sequence: uint8
- name: path_mask
sequence:
sequence:
sequence: float32
- name: path_rgb
sequence:
sequence:
sequence:
sequence: uint8
splits:
- name: train
n... |
Badal/TinyStories-GPT4 | 2023-09-13T19:11:46.000Z | [
"region:us"
] | Badal | null | null | null | 0 | 80 | Entry not found |
llama2d/llama2d-top-or-bottom | 2023-10-02T00:03:01.000Z | [
"region:us"
] | llama2d | null | null | null | 0 | 80 | ---
dataset_info:
features:
- name: input_ids
sequence: float32
- name: coords
sequence:
sequence: float32
- name: labels
sequence: float32
- name: attention_mask
sequence: float32
splits:
- name: train
num_bytes: 1208000
num_examples: 500
download_size: 8541
dataset_size... |
kye/metamath-mistal-tokenized-16384 | 2023-10-05T18:28:20.000Z | [
"region:us"
] | kye | null | null | null | 1 | 80 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 485833040
num_examples: 5930
download_size: 131269443
dataset_size: 485833040
---
# Dataset Card for "metamath-mistal-tokenized-16384"
[More Information nee... |
stevhliu/demo | 2022-10-24T18:02:42.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"conditional-text-generation",
"r... | stevhliu | null | null | null | 0 | 79 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- summarization
- text2text-generation
task_ids: []
tags:
- conditional-text-generation
---
# Dataset Card f... |
huggan/CelebA-HQ | 2022-04-12T14:10:49.000Z | [
"arxiv:1710.10196",
"region:us"
] | huggan | null | null | null | 7 | 79 | # Citation
```
@article{DBLP:journals/corr/abs-1710-10196,
author = {Tero Karras and
Timo Aila and
Samuli Laine and
Jaakko Lehtinen},
title = {Progressive Growing of GANs for Improved Quality, Stability, and Variation},
journal = {CoRR},
volume = {abs/171... |
juliensimon/amazon-shoe-reviews | 2023-10-09T13:22:34.000Z | [
"language:en",
"region:us"
] | juliensimon | null | null | null | 0 | 79 | ---
language: en
dataset_info:
features:
- name: labels
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 16847665.2
num_examples: 90000
- name: test
num_bytes: 1871962.8
num_examples: 10000
download_size: 0
dataset_size: 18719628.0
---
# Dataset Card for "... |
merionum/ru_paraphraser | 2022-07-28T15:01:08.000Z | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:sentence-similarity",
"task_ids:semantic-similarity-scoring",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"annotations_creators:machine-g... | merionum | null | null | null | 5 | 79 | ---
annotations_creators:
- crowdsourced
- expert-generated
- machine-generated
language_creators:
- crowdsourced
language:
- ru
license:
- mit
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: ParaPhraser
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-classification
-... |
taln-ls2n/kpbiomed | 2022-12-01T10:52:09.000Z | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2211.12124",
"region:us"
] | taln-ls2n | KPBiomed benchmark dataset for keyphrase extraction an generation. | \ | null | 3 | 79 | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- 100K<n<1M
pretty_name: KP-Biomed
---
# KPBiomed, A Large-Sca... |
Den4ikAI/russian_dialogues | 2023-03-12T07:58:54.000Z | [
"task_categories:conversational",
"size_categories:1M<n<10M",
"language:ru",
"license:mit",
"region:us"
] | Den4ikAI | null | null | null | 8 | 79 | ---
license: mit
task_categories:
- conversational
language:
- ru
size_categories:
- 1M<n<10M
---
Датасет русских диалогов собранных с Telegram чатов.
Диалоги имеют разметку по релевантности.
Также были сгенерированы негативные примеры с помощью перемешивания похожих ответов.
Количество диалогов - 2 миллиона
Формат д... |
ipipan/maupqa | 2023-09-18T07:28:41.000Z | [
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_ids:open-domain-qa",
"task_ids:document-retrieval",
"annotations_creators:found",
"annotations_creators:machine-generated",
"size_categories:1M<n<10M",
"language:pl",
"license:cc-by-sa-4.0",
"arxiv:2305.05486",
"arxiv:... | ipipan | MAUPQA is a collection of datasets for Polish Open-domain Question Answering. | @inproceedings{rybak-2023-maupqa,
title = "{MAUPQA}: Massive Automatically-created {P}olish Question Answering Dataset",
author = "Rybak, Piotr",
booktitle = "Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)",
month = may,
year = "2023",
address = "Dubr... | null | 2 | 79 | ---
task_categories:
- question-answering
- text-retrieval
task_ids:
- open-domain-qa
- document-retrieval
language:
- pl
pretty_name: MAUPQA
size_categories:
- 1M<n<10M
annotations_creators:
- found
- machine-generated
license: cc-by-sa-4.0
---
# Dataset Card for MAUPQA Dataset
## Dataset Description
- **Paper:** [... |
mstz/lrs | 2023-04-21T23:10:35.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1k",
"language:en",
"license:cc",
"lrs",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_lrs_53,
author = {Fisher,R. A. & Fisher,R.A.},
title = {{Lrs}},
year = {1988},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C56C76}}
} | null | 0 | 79 | ---
language:
- en
tags:
- lrs
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Lrs
size_categories:
- n<1k
task_categories:
- tabular-classification
configs:
- lrs
- lrs_0
- lrs_1
- lrs_2
- lrs_3
- lrs_4
- lrs_5
- lrs_6
- lrs_7
- lrs_8
license: cc
---
# Lrs
The [Lrs datas... |
LinkSoul/instruction_merge_set | 2023-06-01T03:19:51.000Z | [
"region:us"
] | LinkSoul | null | null | null | 105 | 79 | ---
dataset_info:
features:
- name: id
dtype: string
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 13444870155
num_examples: 10077297
download_size: 3542585235
... |
grantprice/CriticalRoleTranscripts | 2023-06-14T18:56:45.000Z | [
"region:us"
] | grantprice | null | null | null | 0 | 79 | Entry not found |
baber/logiqa2 | 2023-08-01T00:52:03.000Z | [
"task_categories:multiple-choice",
"language:en",
"language:zh",
"license:cc-by-sa-4.0",
"arxiv:2304.03439",
"region:us"
] | baber | The dataset is an amendment and re-annotation of LogiQA in 2020, a large-scale logical reasoning reading comprehension dataset adapted from the Chinese Civil Service Examination. We increase the data size, refine the texts with manual translation by professionals, and improve the quality by removing items with distinct... | @ARTICLE{10174688,
author={Liu, Hanmeng and Liu, Jian and Cui, Leyang and Teng, Zhiyang and Duan, Nan and Zhou, Ming and Zhang, Yue},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
title={LogiQA 2.0 — An Improved Dataset for Logical Reasoning in Natural Language Understanding},
year=... | null | 3 | 79 | ---
license: cc-by-sa-4.0
task_categories:
- multiple-choice
language:
- en
- zh
pretty_name: LogiQA2.0
data_splits:
- train
- validation
- test
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
- **Repository:** http... |
kaxap/llama2-sql-instruct | 2023-08-04T23:06:50.000Z | [
"license:cc-by-nc-4.0",
"region:us"
] | kaxap | null | null | null | 0 | 79 | ---
license: cc-by-nc-4.0
---
|
openaccess-ai-collective/oo-gpt4-filtered | 2023-08-05T04:00:44.000Z | [
"region:us"
] | openaccess-ai-collective | null | null | null | 2 | 79 | Entry not found |
mnazari/nena_speech_1_0_test | 2023-09-23T01:00:28.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"task_categories:translation",
"annotations_creators:crowdsourced",
"annotations_creators:Geoffrey Khan",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"size_categories... | mnazari | null | null | null | 0 | 79 | ---
pretty_name: NENA Speech Dataset 1.0 (test)
annotations_creators:
- crowdsourced
- Geoffrey Khan
language_creators:
- crowdsourced
language:
- aii
- cld
- huy
- lsd
- trg
- aij
- bhn
- hrt
- kqd
- syn
license:
- cc0-1.0
multilinguality:
- multilingual
task_categories:
- automatic-spe... |
europa_ecdc_tm | 2022-11-03T16:31:26.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:bg",
"language:cs",
"language:da",
"language:de",
"language:el",
"language:en",
"lang... | null | In October 2012, the European Union (EU) agency 'European Centre for Disease Prevention and Control' (ECDC) released a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in twenty-five languages. This resource bears the name EAC Translation Memory, short EAC-TM.
ECDC... | @Article{Steinberger2014,
author={Steinberger, Ralf
and Ebrahim, Mohamed
and Poulis, Alexandros
and Carrasco-Benitez, Manuel
and Schl{\"u}ter, Patrick
and Przybyszewski, Marek
and Gilbro, Signe},
title={An ov... | null | 1 | 78 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hu
- is
- it
- lt
- lv
- mt
- nl
- 'no'
- pl
- pt
- ro
- sk
- sl
- sv
license:
- cc-by-sa-4.0
multilinguality:
- translation
size_categories:
- 1K<n<10K
source_datasets:
... |
time_dial | 2022-11-03T16:07:53.000Z | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"dialog-ac... | null | TimeDial presents a crowdsourced English challenge set, for temporal commonsense reasoning, formulated
as a multiple choice cloze task with around 1.5k carefully curated dialogs. The dataset is derived from
the DailyDialog (Li et al., 2017), which is a multi-turn dialog corpus.
In order to establish strong baselines a... | @inproceedings{qin-etal-2021-timedial,
title = "{TimeDial: Temporal Commonsense Reasoning in Dialog}",
author = "Qin, Lianhui and Gupta, Aditya and Upadhyay, Shyam and He, Luheng and Choi, Yejin and Faruqui, Manaal",
booktitle = "Proc. of ACL",
year = "2021"
} | null | 2 | 78 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: 'TimeDial: Temporal Commonsense Reasoning in Dialog'
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
t... |
Kira-Asimov/gender_clinical_trial | 2022-02-10T10:16:03.000Z | [
"region:us"
] | Kira-Asimov | null | null | null | 2 | 78 | # Gender classification from Clinical Trial Public Data
|
llangnickel/long-covid-classification-data | 2022-11-24T10:29:58.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | llangnickel | null | null | null | 0 | 78 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: 'Dataset containing abstracts from PubMed, either related to long COVID
or not. '
size_categories:
- unknown
source_datasets:
- original
task_categories:
-... |
BeIR/scidocs-generated-queries | 2022-10-23T06:12:52.000Z | [
"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 | 78 | ---
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:
... |
allenai/csabstruct | 2022-11-02T17:54:38.000Z | [
"license:apache-2.0",
"arxiv:1909.04054",
"region:us"
] | allenai | As a step toward better document-level understanding, we explore classification of a sequence of sentences into their corresponding categories, a task that requires understanding sentences in context of the document. Recent successful models for this task have used hierarchical models to contextualize sentence represen... | @inproceedings{Cohan2019EMNLP,
title={Pretrained Language Models for Sequential Sentence Classification},
author={Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld},
year={2019},
booktitle={EMNLP},
} | null | 2 | 78 | ---
license: apache-2.0
---
# CSAbstruct
CSAbstruct was created as part of *"Pretrained Language Models for Sequential Sentence Classification"* ([ACL Anthology][2], [arXiv][1], [GitHub][6]).
It contains 2,189 manually annotated computer science abstracts with sentences annotated according to their rhetorical roles... |
tomas-gajarsky/cifar10-lt | 2023-06-24T20:22:30.000Z | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:cifar10",
"language:en",
"license:apache-2.0",
"region:us"
] | tomas-gajarsky | The CIFAR-10-LT imbalanced dataset is comprised of under 60,000 color images, each measuring 32x32 pixels,
distributed across 10 distinct classes.
The dataset includes 10,000 test images, with 1000 images per class,
and fewer than 50,000 training images.
The number of samples within each class of the train set decr... | @TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
title = {Learning multiple layers of features from tiny images},
institution = {},
year = {2009}
} | null | 1 | 78 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license: apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- cifar10
task_categories:
- image-classification
task_ids: []
paperswithcode_id: cifar-10
pretty_name: Cifar10-LT
dataset_info:
features... |
Patt/copa_th | 2023-06-05T12:36:44.000Z | [
"language:th",
"language:en",
"arxiv:1907.04307",
"region:us"
] | Patt | null | null | null | 0 | 78 | ---
language:
- th
- en
---
# Dataset Card for copa_th
### Dataset Description
This dataset is Thai translated version of [copa](https://huggingface.co/datasets/super_glue/viewer/copa) using google translate with [Multilingual Universal Sentence Encoder](https://arxiv.org/abs/1907.04307) to calculate score for Thai ... |
bloyal/deeploc | 2023-08-15T13:46:01.000Z | [
"license:cc-by-4.0",
"region:us"
] | bloyal | null | null | null | 0 | 78 | ---
license: cc-by-4.0
---
# DeepLoc-2.0 Training Data
Dataset from https://services.healthtech.dtu.dk/services/DeepLoc-2.0/ used to train the DeepLoc-2.0 model.
## Data preparation
Data downloaded and processed using the following Python script:
```python
import pandas as pd
df = pd.read_csv('https://services.he... |
yzhuang/autotree_pmlb_100000_phoneme_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T22:51:22.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 78 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
yzhuang/autotree_automl_100000_Higgs_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T16:23:06.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 78 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
yzhuang/autotree_automl_100000_MiniBooNE_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T18:21:37.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 78 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
yzhuang/autotree_automl_100000_jannis_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T18:46:08.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 78 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
yzhuang/autotree_automl_100000_heloc_sgosdt_l256_dim10_d3_sd0 | 2023-09-09T04:05:06.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 78 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
LDJnr/Pure-Dove | 2023-09-26T04:29:58.000Z | [
"task_categories:conversational",
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"Physics",
"Biology",
"Math",
"Chemistry",
"Culture",
"Logic",
"Roleplay",
"region:us"
] | LDJnr | null | null | null | 7 | 78 | ---
license: apache-2.0
task_categories:
- conversational
- question-answering
- text-generation
language:
- en
tags:
- Physics
- Biology
- Math
- Chemistry
- Culture
- Logic
- Roleplay
pretty_name: Pure-Dove
size_categories:
- 1K<n<10K
---
## This is the Official Pure-Dove dataset. Over 3K multi-turn examples, and ma... |
anzorq/ru-kbd | 2023-09-28T19:54:16.000Z | [
"region:us"
] | anzorq | null | null | null | 0 | 78 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: translation
struct:
- name: ru
dtype: string
- name: kbd
dtype: string
splits:
- name: train
num_bytes: 5143079.101673745
... |
TaylorAI/rlcd | 2023-09-29T18:53:15.000Z | [
"region:us"
] | TaylorAI | null | null | null | 0 | 78 | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 145740702
num_examples: 167999
download_size: 86967331
dataset_size: 145740702
configs:
- config_name: default
data_files:
- split... |
jondurbin/airoboros-3.0 | 2023-10-05T15:16:30.000Z | [
"license:apache-2.0",
"region:us"
] | jondurbin | null | null | null | 8 | 78 | ---
license: apache-2.0
---
## Overview
This dataset is a continuation of the airoboros datasets, with two main new contributions:
* MathJSON - math questions, prefixed with __"Create a MathJSON solution to the following:"__, which then outputs a JSON between __`<mathjson>`__ and __`</mathjson>`__ tags, which can be ... |
roy650/puext550refExp_aug | 2023-10-04T13:46:19.000Z | [
"region:us"
] | roy650 | null | null | null | 0 | 78 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: image_id
dtype: string
- name: prompt
dtype: string
- name: target_bounding_box
struct:
- name: xmax
... |
recipe_nlg | 2023-01-25T14:43:04.000Z | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:text-retrieval",
"task_categories:summarization",
"task_ids:document-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:explanation-generation",
"task_ids:language-modelin... | null | The dataset contains 2231142 cooking recipes (>2 millions). It's processed in more careful way and provides more samples than any other dataset in the area. | @inproceedings{bien-etal-2020-recipenlg,
title = "{R}ecipe{NLG}: A Cooking Recipes Dataset for Semi-Structured Text Generation",
author = "Bie{'n}, Micha{l} and
Gilski, Micha{l} and
Maciejewska, Martyna and
Taisner, Wojciech and
Wisniewski, Dawid and
Lawrynowicz, Agnieszka",
booktitle = "Proceedings of t... | null | 21 | 77 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text2text-generation
- text-generation
- fill-mask
- text-retrieval
- summarization
task_ids:
- document-retrieval
- en... |
GEM/wiki_cat_sum | 2022-10-24T15:31:11.000Z | [
"task_categories:summarization",
"annotations_creators:automatically-created",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"arxiv:1906.04687",
"arxiv:1801.10198",
"arxiv:2009.07032",
"regi... | GEM | Summarise the most important facts of a given entity in the Film, Company, and Animal domains from a cluster of related documents. | @inproceedings{perez2019generating,
title={Generating Summaries with Topic Templates and Structured Convolutional Decoders},
author={Perez-Beltrachini, Laura and Liu, Yang and Lapata, Mirella},
booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
pages={5107--5116... | null | 2 | 77 | ---
annotations_creators:
- automatically-created
language_creators:
- unknown
language:
- en
license:
- cc-by-sa-3.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: wiki_cat_sum
---
# Dataset Card for GEM/wiki_cat_sum
## Dat... |
imvladikon/hebrew_news | 2022-07-09T19:53:05.000Z | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:no-annotation",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:he",
"license:other",
"region:us"
] | imvladikon | null | 1 | 77 | ---
annotations_creators:
- no-annotation
language_creators:
- other
language:
- he
license:
- other
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-summarization
---
## Table of Contents
- [Dataset Description](#datase... | ||
bond005/sberdevices_golos_10h_crowd | 2022-10-27T04:42:07.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100k",
"source_datasets:extended",
"language:... | bond005 | null | null | null | 0 | 77 | ---
pretty_name: Golos
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- ru
license:
- other
multilinguality:
- monolingual
paperswithcode_id: golos
size_categories:
- 10K<n<100k
source_datasets:
- extended
task_categories:
- automatic-speech-recognition
- audio-c... |
Cohere/miracl-zh-queries-22-12 | 2023-02-06T11:55:33.000Z | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:expert-generated",
"multilinguality:multilingual",
"language:zh",
"license:apache-2.0",
"region:us"
] | Cohere | null | null | null | 21 | 77 | ---
annotations_creators:
- expert-generated
language:
- zh
multilinguality:
- multilingual
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-retrieval
license:
- apache-2.0
task_ids:
- document-retrieval
---
# MIRACL (zh) embedded with cohere.ai `multilingual-22-12` encoder
We encoded th... |
dipesh/Intent-Classification-large | 2023-02-04T22:18:08.000Z | [
"region:us"
] | dipesh | null | null | null | 2 | 77 | ---
dataset_info:
features:
- name: text
dtype: string
- name: intent
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: label
dtype:
class_label:
names:
'0': others
'1': places near me
'2': send whats... |
mstz/student_performance | 2023-04-07T14:54:45.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"student performance",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 77 | ---
language:
- en
tags:
- student performance
- tabular_classification
- binary_classification
pretty_name: Student Performance
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- encoding
- math
- writing
- reading
license: cc
---
# Student performance
The [Student performance dataset](https:... |
Francesco/avatar-recognition-nuexe | 2023-03-30T09:30:13.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | null | 0 | 77 | ---
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... |
jensjorisdecorte/Synthetic-ESCO-skill-sentences | 2023-07-25T21:40:31.000Z | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"license:cc",
"Skill Extraction",
"Synthetic Data",
"arxiv:2307.10778",
"region:us"
] | jensjorisdecorte | null | null | null | 2 | 77 | ---
license: cc
task_categories:
- text-classification
language:
- en
tags:
- Skill Extraction
- Synthetic Data
pretty_name: Synthetic ESCO skill sentences
size_categories:
- 100K<n<1M
---
# Synthetic job ads for all ESCO skills
## Dataset Description
- **Homepage:** coming soon
- **Repository:** coming soon
- **Pape... |
tingchih/multi-class | 2023-09-12T04:21:02.000Z | [
"region:us"
] | tingchih | null | null | null | 0 | 77 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 98926083
num_examples: 570999
- name: test
num_bytes: 42106324
num_examples: 245116
download_size: 77717077
dataset_size: 141032407
---
# Dataset Card for "multi-cla... |
Tadorne/amendments | 2023-09-18T10:24:18.000Z | [
"language:en",
"license:eupl-1.1",
"region:us"
] | Tadorne | null | null | null | 0 | 77 | ---
language:
- en
license: eupl-1.1
pretty_name: Amendments EP - Legislature 7 & 8
configs:
- config_name: ALDE
data_files: alde.jsonl.gz
- config_name: ECR
data_files: ecr.jsonl.gz
- config_name: EFD
data_files: efd.jsonl.gz
- config_name: ENF
data_files: enf.jsonl.gz
- config_name: EPP
data_files: epp.json... |
manu/french_librispeech_text_only | 2023-09-19T10:21:43.000Z | [
"region:us"
] | manu | null | null | null | 0 | 77 | ---
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 62120933
num_examples: 258213
download_size: 37959942
dataset_size: 62120933
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset ... |
holistic-ai/LLM_Audit_Toxicity_Prompts | 2023-09-27T17:29:07.000Z | [
"license:mit",
"region:us"
] | holistic-ai | null | null | null | 0 | 77 | ---
license: mit
---
|
cfq | 2023-04-05T09:42:18.000Z | [
"task_categories:question-answering",
"task_categories:other",
"task_ids:open-domain-qa",
"task_ids:closed-domain-qa",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
... | null | The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1') | @inproceedings{Keysers2020,
title={Measuring Compositional Generalization: A Comprehensive Method on
Realistic Data},
author={Daniel Keysers and Nathanael Sch\"{a}rli and Nathan Scales and
Hylke Buisman and Daniel Furrer and Sergii Kashubin and
Nikola Momchev and Danila Sinopalnikov and... | null | 2 | 76 | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Compositional Freebase Questions
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- question-answering
- other
task_ids:
- open-domain-... |
nid989/FNC-1 | 2021-12-27T11:04:06.000Z | [
"region:us"
] | nid989 | null | null | null | 2 | 76 | ### Dataset Summary
The data provided is (headline, body, stance) instances, where the stance is one of {unrelated, discuss, agree, disagree}.
**Input**
* A headline and a body text - either from the same news article or from two different articles.
**Output**
* Classify the stance of the body text relative to the ... |
scikit-learn/iris | 2022-06-20T14:17:01.000Z | [
"license:cc0-1.0",
"region:us"
] | scikit-learn | null | null | null | 0 | 76 | ---
license: cc0-1.0
---
## Iris Species Dataset
The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository.
It includes three iris species with 50 samples each as well as some properties about eac... |
domenicrosati/clinical_trial_texts | 2022-12-05T17:34:13.000Z | [
"region:us"
] | domenicrosati | null | null | null | 3 | 76 | ---
dataset_info:
features:
- name: text
dtype: string
- name: trial_id
dtype: string
- name: input_ids
sequence: int32
- name: token_type_ids
sequence: int8
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 22784316806
num_examples: 434977
download_siz... |
LightChen2333/OpenSLU | 2023-02-22T05:25:40.000Z | [
"license:mit",
"region:us"
] | LightChen2333 | xxx | xxx | null | 1 | 76 | ---
license: mit
---
|
datadrivenscience/ship-detection | 2023-03-02T16:09:14.000Z | [
"task_categories:object-detection",
"region:us"
] | datadrivenscience | null | null | null | 14 | 76 | ---
task_categories:
- object-detection
---
# Dataset Card for Ship Detection
Link to [Ship Detection Competition](https://huggingface.co/spaces/competitions/ship-detection)
By accepting this dataset, you accept the rules of the Ship Detection competition.
# Organizer
Organizer of this competition is [Data-Driven S... |
gbharti/wealth-alpaca_lora | 2023-04-07T09:12:57.000Z | [
"language:en",
"region:us"
] | gbharti | null | null | null | 12 | 76 | ---
language:
- en
---
This dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa/) with another 1.3k pairs custom generated using GPT3.5
Script for tuning through Kaggle's (https://www.kaggle.com) free resources using PEFT/LoRa: https... |
mstz/shuttle | 2023-04-16T17:58:41.000Z | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"shuttle",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_statlog_(shuttle)_148,
title = {{Statlog (Shuttle)}},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5WS31}}
} | null | 0 | 76 | ---
language:
- en
tags:
- shuttle
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Shuttle
size_categories:
- 10K<n<100K
task_categories:
- tabular-classification
configs:
- shuttle
- shuttle_binary
license: cc
---
# Shuttle
The [Shuttle dataset](https://archive-beta.ics.... |
mstz/steel_plates | 2023-04-16T18:03:07.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<5K",
"language:en",
"license:cc",
"steel_plates",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_steel_plates_faults_198,
author = {Buscema,M, Terzi,S & Tastle,W},
title = {{Steel Plates Faults}},
year = {2010},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5J88N}}
} | null | 1 | 76 | ---
language:
- en
tags:
- steel_plates
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Landsat
size_categories:
- 1K<n<5K
task_categories:
- tabular-classification
configs:
- steel_plates
- steel_plates_0
- steel_plates_1
- steel_plates_2
- steel_plates_3
- steel_plates_... |
liuhaotian/LLaVA-CC3M-Pretrain-595K | 2023-07-06T08:51:35.000Z | [
"language:en",
"license:other",
"region:us"
] | liuhaotian | null | null | null | 36 | 76 | ---
license: other
language:
- en
pretty_name: LLaVA CC3M Pretrain 595K
---
# LLaVA Visual Instruct CC3M 595K Pretrain Dataset Card
## Dataset details
**Dataset type:**
LLaVA Visual Instruct CC3M Pretrain 595K is a subset of CC-3M dataset, filtered with a more balanced concept coverage distribution.
Captions are al... |
wtcherr/LAION10K | 2023-06-05T15:19:52.000Z | [
"region:us"
] | wtcherr | null | null | null | 0 | 76 | ---
dataset_info:
features:
- name: image
dtype: image
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 171092053.43
num_examples: 8226
download_size: 170695611
dataset_size: 171092053.43
---
# Dataset Card for "LAION10K"
[More Information needed](https://github.com/huggingfa... |
mattymchen/refinedweb-3m | 2023-06-12T06:01:04.000Z | [
"region:us"
] | mattymchen | null | null | null | 2 | 76 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 7834920949
num_examples: 3000000
download_size: 4904877808
dataset_size: 7834920949
---
# Dataset Card for "refinedweb-3m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBU... |
C-MTEB/TNews-classification | 2023-07-28T13:31:30.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 76 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': '100'
... |
Riyazmk/mentalhealth | 2023-08-03T11:11:45.000Z | [
"license:other",
"region:us"
] | Riyazmk | null | null | null | 1 | 76 | ---
license: other
---
|
imoxto/prompt_injection_cleaned_dataset-v2 | 2023-08-08T09:30:19.000Z | [
"region:us"
] | imoxto | null | null | null | 1 | 76 | ---
dataset_info:
features:
- name: model
dtype: string
- name: text
dtype: string
- name: labels
dtype: int64
splits:
- name: train
num_bytes: 670958021
num_examples: 535105
download_size: 79246765
dataset_size: 670958021
configs:
- config_name: default
data_files:
- split: trai... |
ashhadahsan/amazon_subtheme | 2023-10-02T17:29:54.000Z | [
"region:us"
] | ashhadahsan | null | null | null | 0 | 76 | ---
dataset_info:
features:
- name: Transcript
dtype: string
- name: Review Issue
dtype: string
splits:
- name: train
num_bytes: 301970
num_examples: 780
download_size: 0
dataset_size: 301970
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Datase... |
manishiitg/aditi-test | 2023-09-19T17:23:43.000Z | [
"region:us"
] | manishiitg | null | null | null | 0 | 76 | ---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: english
dtype: string
- name: chat_id
dtype: string
- name: session_id
dtype: string
- name: ts
dtype: int64
- name: classify_response
dtype: string
- name: meta_data
dtype: str... |
manu/opus100-en-fr | 2023-09-18T16:15:31.000Z | [
"region:us"
] | manu | null | null | null | 0 | 76 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
splits:
- name: test
num_bytes: 479723
nu... |
shossain/govreport-summarization-tokenized | 2023-09-20T07:04:40.000Z | [
"region:us"
] | shossain | null | null | null | 0 | 76 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 69604
num_examples: 973
download_size: 22673
dataset_size: 69604
configs:
- config_name: default
data_files:
- split... |
Amey-HH/polypdata | 2023-09-29T00:51:52.000Z | [
"region:us"
] | Amey-HH | null | null | null | 0 | 76 | Entry not found |
pavithrav/modified_dataset_emotion | 2023-10-02T12:45:26.000Z | [
"region:us"
] | pavithrav | null | null | null | 0 | 76 | Entry not found |
YaHi/english_AAAI_Math | 2023-10-09T21:06:27.000Z | [
"region:us"
] | YaHi | null | null | null | 0 | 76 | ---
dataset_info:
features:
- name: dataset_version
dtype: timestamp[s]
- name: queId
dtype: string
- name: difficulty
dtype: string
- name: qtype
dtype: string
- name: problem
dtype: string
- name: knowledge_point_routes
sequence: string
splits:
- name: train
num_bytes: 22... |
hind_encorp | 2022-11-03T16:15:40.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:translation",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"language:hi",
"license:cc-by-nc-sa-3.0",
"regio... | null | HindEnCorp parallel texts (sentence-aligned) come from the following sources:
Tides, which contains 50K sentence pairs taken mainly from news articles. This dataset was originally col- lected for the DARPA-TIDES surprise-language con- test in 2002, later refined at IIIT Hyderabad and provided for the NLP Tools Contest ... | @InProceedings{hindencorp05:lrec:2014,
author = {Ond{\v{r}}ej Bojar and Vojt{\v{e}}ch Diatka
and Pavel Rychl{\'{y}} and Pavel Stra{\v{n}}{\'{a}}k
and V{\'{}}t Suchomel and Ale{\v{s}} Tamchyna and Daniel Zeman},
title = "{HindEnCorp - Hindi-English and Hindi-only Corpus for Machine
... | null | 1 | 75 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- machine-generated
language:
- en
- hi
license:
- cc-by-nc-sa-3.0
multilinguality:
- translation
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: hindencorp
pretty_name:... |
opus_gnome | 2023-06-01T14:59:53.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"size_categories:1K<n<10K",
"size_categories:n<1K",
"source_datasets:original",
"language:af",
"language:am",
"language:an",
"language:ang",
"... | null | A parallel corpus of GNOME localization files. Source: https://l10n.gnome.org
187 languages, 12,822 bitexts
total number of files: 113,344
total number of tokens: 267.27M
total number of sentence fragments: 58.12M | @InProceedings{TIEDEMANN12.463,
author = {J{\"o}rg Tiedemann},
title = {Parallel Data, Tools and Interfaces in OPUS},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
year = {2012},
month = {may},
date = {23-25},
address = {Istanbul, Turkey},
... | null | 1 | 75 | ---
annotations_creators:
- found
language_creators:
- found
language:
- af
- am
- an
- ang
- ar
- as
- ast
- az
- bal
- be
- bem
- bg
- bn
- bo
- br
- brx
- bs
- ca
- crh
- cs
- csb
- cy
- da
- de
- dv
- dz
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fo
- fr
- fur
- fy
- ga
- gd
- gl
- gn
- gu
- gv
- ha
- he
- hi
- hr
-... |
sepidmnorozy/Chinese_sentiment | 2022-08-15T23:09:45.000Z | [
"region:us"
] | sepidmnorozy | null | null | null | 3 | 75 | Entry not found |
SetFit/ade_corpus_v2_classification | 2022-09-05T14:14:53.000Z | [
"region:us"
] | SetFit | null | null | null | 0 | 75 | # ADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.
This is a dataset for classification if a sentence is ADE-related (True) or not (False).
**Train size: 17,637**
**Test size: 5,879**
[Source dataset](https://huggingface.co/datasets/ade_corpus_v2)
[Paper](https://www.sciencedirect.com/science/article/pii/S1532046... |
rogerdehe/xfund | 2022-10-12T12:42:35.000Z | [
"task_categories:text-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"language:de",
"language:es",
"language:fr",
"language:it",
"language:ja",
"license:other",
"layoutlmv3",
"xfund",
"funsd",
"region:us"
] | rogerdehe | https://github.com/doc-analysis/XFUND | @inproceedings{xu-etal-2022-xfund,
title = "{XFUND}: A Benchmark Dataset for Multilingual Visually Rich Form Understanding",
author = "Xu, Yiheng and
Lv, Tengchao and
Cui, Lei and
Wang, Guoxin and
Lu, Yijuan and
Florencio, Dinei and
Zhang, Cha and
Wei, Furu",
... | null | 0 | 75 | ---
annotations_creators:
- found
language_creators:
- found
task_categories:
- text-classification
tags:
- layoutlmv3
- xfund
- funsd
language:
- de
- es
- fr
- it
- ja
license:
- other
multilinguality:
- multilingual
---
XFUND dataset
see more detail at [this](https://github.com/doc-analysis/XFUND)
### Citation Inf... |
bigbio/ebm_pico | 2022-12-22T15:44:33.000Z | [
"multilinguality:monolingual",
"language:en",
"license:unknown",
"region:us"
] | bigbio | This corpus release contains 4,993 abstracts annotated with (P)articipants,
(I)nterventions, and (O)utcomes. Training labels are sourced from AMT workers and
aggregated to reduce noise. Test labels are collected from medical professionals. | @inproceedings{nye-etal-2018-corpus,
title = "A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature",
author = "Nye, Benjamin and
Li, Junyi Jessy and
Patel, Roma and
Yang, Yinfei and
Marshall, Iain and
... | null | 0 | 75 |
---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: EBM NLP
homepage: https://github.com/bepnye/EBM-NLP
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
---
# Dataset Card for EBM NLP
## Dataset... |
juancaruizc/lyrics | 2022-12-31T22:55:26.000Z | [
"region:us"
] | juancaruizc | null | null | null | 0 | 75 | Entry not found |
CVdatasets/ImageNet15_animals_unbalanced_aug1 | 2023-02-28T18:48:02.000Z | [
"region:us"
] | CVdatasets | null | null | null | 0 | 75 | ---
dataset_info:
features:
- name: labels
dtype:
class_label:
names:
'0': Italian_greyhound
'1': Coyote
'2': Beagle
'3': Rottweiler
'4': Hyena
'5': Greater_Swiss_Mountain_dog
'6': Triceratops
'7': French_bulldog
... |
mstz/fertility | 2023-04-16T17:28:42.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"fertility",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_fertility_244,
author = {Gil,David & Girela,Jose},
title = {{Fertility}},
year = {2013},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5Z01Z}}
} | null | 0 | 75 | ---
language:
- en
tags:
- fertility
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Fertility
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- encoding
- fertility
license: cc
---
# Fertility
The [Fertility dataset](https://archive.ics.uci.edu... |
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