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 |
|---|---|---|---|---|---|---|---|---|---|
Niche-Squad/mock-dots | 2023-09-13T14:52:49.000Z | [
"license:bsd-3-clause",
"region:us"
] | Niche-Squad | null | null | null | 1 | 234 | ---
license: bsd-3-clause
---
|
bigheiniuJ/JimmyLu | 2023-10-08T12:53:57.000Z | [
"region:us"
] | bigheiniuJ | null | null | null | 0 | 234 | ---
dataset_info:
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splits:
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num_bytes: 767510
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copenlu/fever_gold_evidence | 2022-11-17T11:42:54.000Z | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:ex... | copenlu | null | null | null | 4 | 233 | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- machine-generated
- crowdsourced
language:
- en
license:
- cc-by-sa-3.0
- gpl-3.0
multilinguality:
- monolingual
paperswithcode_id: fever
pretty_name: ''
size_categories:
- 100K<n<1M
source_datasets:
- extended|fever
task_categories:
... |
GATE-engine/COCOStuff164K | 2023-06-26T06:29:49.000Z | [
"region:us"
] | GATE-engine | null | null | null | 0 | 233 | ---
dataset_info:
features:
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num_examples: 5000
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num_bytes: 57790292141.76
num_examples: 118287
download_size: 39862772718
dataset_size: 60221716974.76
---
# Dataset Card ... |
yzhuang/autotree_pmlb_10000_spambase_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T03:32:53.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 233 | ---
dataset_info:
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dtype: int64
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sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
longhoang06/text-recognition | 2023-09-30T15:08:12.000Z | [
"region:us"
] | longhoang06 | null | null | null | 0 | 233 | ---
dataset_info:
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dtype: image
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num_bytes: 6858787617.0
num_examples: 100000
download_size: 6858941356
dataset_size: 6858787617.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
--... |
ds4sd/DocLayNet | 2023-01-25T17:01:19.000Z | [
"task_categories:object-detection",
"task_categories:image-segmentation",
"task_ids:instance-segmentation",
"annotations_creators:crowdsourced",
"size_categories:10K<n<100K",
"license:other",
"layout-segmentation",
"COCO",
"document-understanding",
"PDF",
"region:us"
] | ds4sd | DocLayNet is a human-annotated document layout segmentation dataset from a broad variety of document sources. | @article{doclaynet2022,
title = {DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis},
doi = {10.1145/3534678.353904},
url = {https://arxiv.org/abs/2206.01062},
author = {Pfitzmann, Birgit and Auer, Christoph and Dolfi, Michele and Nassar, Ahmed S and Staar, Peter W J},
year = {2022}
} | null | 24 | 232 | ---
annotations_creators:
- crowdsourced
license: other
pretty_name: DocLayNet
size_categories:
- 10K<n<100K
tags:
- layout-segmentation
- COCO
- document-understanding
- PDF
task_categories:
- object-detection
- image-segmentation
task_ids:
- instance-segmentation
---
# Dataset Card for DocLayNet
## Table of Content... |
nasa-cisto-data-science-group/modis-lake-powell-toy-dataset | 2023-05-04T01:39:33.000Z | [
"size_categories:n<1K",
"license:apache-2.0",
"region:us"
] | nasa-cisto-data-science-group | null | null | null | 0 | 232 | ---
license: apache-2.0
size_categories:
- n<1K
---
# MODIS Water Lake Powell Toy Dataset
### Dataset Summary
Tabular dataset comprised of MODIS surface reflectance bands along with calculated indices and a label (water/not-water)
## Dataset Structure
### Data Fields
- `water`: Label, water or not-water (binary)
... |
maximuslee07/raqna | 2023-09-25T21:31:40.000Z | [
"region:us"
] | maximuslee07 | null | null | null | 0 | 232 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 85774
num_examples: 100
download_size: 53483
dataset_size: 85774
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "raqna"
[More Information needed]... |
webis/conclugen | 2022-05-03T06:18:33.000Z | [
"region:us"
] | webis | The ConcluGen corpus is constructed for the task of argument summarization. It consists of 136,996 pairs of argumentative texts and their conclusions collected from the ChangeMyView subreddit, a web portal for argumentative discussions on controversial topics.
The corpus has three variants: aspects, topics, and target... | @inproceedings{syed:2021,
author = {Shahbaz Syed and
Khalid Al Khatib and
Milad Alshomary and
Henning Wachsmuth and
Martin Potthast},
editor = {Chengqing Zong and
Fei Xia and
Wenjie Li and
Roberto Navigli}... | null | 1 | 231 | # Dataset Card for ConcluGen
## Table of Contents
- [Dataset Card for ConcluGen](#dataset-card-for-conclugen)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)... |
allenai/multi_lexsum | 2023-05-18T21:41:22.000Z | [
"task_categories:summarization",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:odc-by",
"arxiv:2206.10883",
"region:us"
] | allenai | Multi-LexSum is a multi-doc summarization dataset for civil rights litigation lawsuits with summaries of three granularities. | @article{Shen2022MultiLexSum,
author = {Zejiang Shen and
Kyle Lo and
Lauren Yu and
Nathan Dahlberg and
Margo Schlanger and
Doug Downey},
title = {Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granula... | null | 9 | 231 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- odc-by
multilinguality:
- monolingual
pretty_name: Multi-LexSum
size_categories:
- 1K<n<10K
- 10K<n<100K
source_datasets:
- original
tags: []
task_categories:
- summarization
task_ids: []
---
# Dataset Card for Multi-LexS... |
result-kand2-sdxl-wuerst-karlo/b776d96a | 2023-10-01T00:53:01.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 231 | ---
dataset_info:
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num_examples: 10
download_size: 1318
dataset_size: 173
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "b776d96... |
result-kand2-sdxl-wuerst-karlo/39ceeb6b | 2023-10-01T00:53:02.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 231 | ---
dataset_info:
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- name: id
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num_examples: 10
download_size: 1318
dataset_size: 173
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "39ceeb6... |
pvduy/rm_oa_hh | 2023-06-13T16:39:03.000Z | [
"region:us"
] | pvduy | null | null | null | 1 | 230 | ---
dataset_info:
features:
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splits:
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num_examples: 8524
- name: train
num_bytes: 220101381
num_examples: 166750
downlo... |
zxvix/c4_biomedical_2 | 2023-09-12T03:10:56.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 230 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: timestamp
dtype: timestamp[s]
- name: url
dtype: string
- name: original_text
dtype: string
splits:
- name: test
num_bytes: 3516783.122
... |
midas/inspec | 2022-03-05T03:08:37.000Z | [
"arxiv:1910.08840",
"region:us"
] | midas | Benchmark dataset for automatic identification of keyphrases from text published with the work - Improved automatic keyword extraction given more linguistic knowledge. Anette Hulth. In Proceedings of EMNLP 2003. p. 216-223. | @inproceedings{hulth2003improved,
title={Improved automatic keyword extraction given more linguistic knowledge},
author={Hulth, Anette},
booktitle={Proceedings of the 2003 conference on Empirical methods in natural language processing},
pages={216--223},
year={2003}
} | null | 7 | 229 | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/pdf/10.3115/1119355.1119383](https://dl.acm.org/doi/pdf/10.3115/1119355.1119383).
Data source - [https://gi... |
sbu_captions | 2023-06-02T20:56:01.000Z | [
"task_categories:image-to-text",
"task_ids:image-captioning",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | null | The SBU Captioned Photo Dataset is a collection of over 1 million images with associated text descriptions extracted from Flicker. | @inproceedings{NIPS2011_5dd9db5e,
author = {Ordonez, Vicente and Kulkarni, Girish and Berg, Tamara},
booktitle = {Advances in Neural Information Processing Systems},
editor = {J. Shawe-Taylor and R. Zemel and P. Bartlett and F. Pereira and K.Q. Weinberger},
pages = {},
publisher = {Curran Associates, Inc.},
title... | null | 9 | 229 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- image-to-text
task_ids:
- image-captioning
paperswithcode_id: sbu-captions-dataset
pretty_name: SBU Captioned Photo Dat... |
pauri32/fiqa-2018 | 2023-05-31T15:43:26.000Z | [
"region:us"
] | pauri32 | null | null | null | 3 | 229 | Entry not found |
Universal-NER/Pile-NER-type | 2023-08-07T17:07:30.000Z | [
"size_categories:10K<n<100K",
"language:en",
"region:us"
] | Universal-NER | null | null | null | 5 | 229 | ---
language:
- en
size_categories:
- 10K<n<100K
---
# Intro
Pile-NER-type is a set of GPT-generated data for named entity recognition using the type-based data construction prompt. It was collected by prompting gpt-3.5-turbo-0301 and augmented by negative sampling. Check our [project page](https://universal-ner.github... |
loubnabnl/code_reviews_500k | 2023-09-20T14:03:43.000Z | [
"region:us"
] | loubnabnl | null | null | null | 0 | 229 | ---
dataset_info:
features:
- name: bucket
dtype: string
- name: pull_request_info
struct:
- name: org.id
dtype: int64
- name: public
dtype: bool
- name: pull_request.additions
dtype: int64
- name: pull_request.base.user.type
dtype: string
- name: pull_request.b... |
wili_2018 | 2023-01-25T15:02:28.000Z | [
"task_categories:text-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:ace",
"language:af",
"language:als",
"language:am",
"language:an",
"language:ang",
"langu... | null | It is a benchmark dataset for language identification and contains 235000 paragraphs of 235 languages | @dataset{thoma_martin_2018_841984,
author = {Thoma, Martin},
title = {{WiLI-2018 - Wikipedia Language Identification database}},
month = jan,
year = 2018,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.841984},
url = {https://doi.org/... | null | 3 | 228 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
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- bxr
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- ceb
- chr
- ckb
- co
- crh
- cs
- csb
- cv
- cy
- da
- de
- diq
- dsb
... |
nielsr/funsd-iob-original | 2022-11-19T13:38:09.000Z | [
"region:us"
] | nielsr | https://guillaumejaume.github.io/FUNSD/ | @article{Jaume2019FUNSDAD,
title={FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents},
author={Guillaume Jaume and H. K. Ekenel and J. Thiran},
journal={2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)},
year={2019},
volume={2},
pages={1-6}
} | null | 0 | 228 | Entry not found |
sradc/chunked-shuffled-wikipedia20220301en-bookcorpusopen | 2023-07-17T20:33:04.000Z | [
"language:en",
"region:us"
] | sradc | null | null | null | 1 | 228 | ---
language: en
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 26076989556
num_examples: 33536113
download_size: 17380043798
dataset_size: 26076989556
---
# Dataset Card for "wikipedia20220301en-bookcorpusopen-chunked-shuffled"
```
num_examples: 33.5 milli... |
hlgd | 2023-01-25T14:32:19.000Z | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"headline-grouping",
"region:us"
] | null | HLGD is a binary classification dataset consisting of 20,056 labeled news headlines pairs indicating
whether the two headlines describe the same underlying world event or not. | @inproceedings{Laban2021NewsHG,
title={News Headline Grouping as a Challenging NLU Task},
author={Philippe Laban and Lucas Bandarkar},
booktitle={NAACL 2021},
publisher = {Association for Computational Linguistics},
year={2021}
} | null | 2 | 227 | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
pretty_name: Headline Grouping (HLGD)
tags:
- headline-grouping... |
GEM/xlsum | 2022-10-24T15:31:33.000Z | [
"task_categories:summarization",
"annotations_creators:none",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:und",
"license:cc-by-nc-sa-4.0",
"arxiv:1607.01759",
"region:us"
] | GEM | We present XLSum, a comprehensive and diverse dataset comprising 1.35 million professionally
annotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics.
The dataset covers 45 languages ranging from low to high-resource, for many of which no
public dataset is currently available. XL... | @inproceedings{hasan-etal-2021-xl,
title = "{XL}-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages",
author = "Hasan, Tahmid and
Bhattacharjee, Abhik and
Islam, Md. Saiful and
Mubasshir, Kazi and
Li, Yuan-Fang and
Kang, Yong-Bin and
Rahman, M. Soh... | null | 3 | 227 | ---
annotations_creators:
- none
language_creators:
- unknown
language:
- und
license:
- cc-by-nc-sa-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- summarization
task_ids: []
pretty_name: xlsum
---
# Dataset Card for GEM/xlsum
## Dataset Description
- **Homep... |
oscar-corpus/OSCAR-2109 | 2022-11-08T09:04:43.000Z | [
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"source_datasets:original",
"language:af",
"language:als",
"language:gsw",
"language:am",
"language:an",
"language:ar",
"language:arz",
"language:as",
"language:as... | oscar-corpus | The Open Super-large Crawled Aggregated coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.\ | @inproceedings{AbadjiOrtizSuarezRomaryetal.2021,
author = {Julien Abadji and Pedro Javier Ortiz Su{\'a}rez and Laurent Romary and Beno{\^i}t Sagot},
title = {Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus},
series = {Proceedings of the Workshop on Challeng... | null | 30 | 226 | ---
pretty_name: OSCAR
annotations_creators:
- no-annotation
language_creators:
- found
language:
- af
- als
- gsw
- am
- an
- ar
- arz
- as
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- az
- azb
- ba
- bar
- be
- bg
- bh
- bn
- bo
- bpy
- br
- bs
- bxr
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- cbk
- ce
- ceb
- ckb
- cs
- cv
- cy
- da
- de
- diq
- dsb
- dv
- el
- eml
- en
- eo
- es... |
pie/tacred | 2023-09-27T14:43:54.000Z | [
"region:us"
] | pie | null | null | null | 0 | 226 | Entry not found |
zxvix/pubmed_nonbiomedicalrap_2 | 2023-09-11T12:33:32.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 226 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: MedlineCitation
struct:
- name: PMID
dtype: int32
- name: DateCompleted
struct:
- name: Year
dtype: int32
- name: Month
dtype: int32
- nam... |
HuggingFaceH4/self_instruct | 2023-03-27T22:03:01.000Z | [
"task_categories:text-generation",
"license:apache-2.0",
"region:us"
] | HuggingFaceH4 | null | null | null | 3 | 225 | ---
license: apache-2.0
task_categories:
- text-generation
---
This dataset splits the original [Self-instruct dataset](https://huggingface.co/datasets/yizhongw/self_instruct) into training (90%) and test (10%). |
whu9/sts_pretrain | 2023-05-21T21:38:21.000Z | [
"region:us"
] | whu9 | null | null | null | 0 | 225 | ---
dataset_info:
features:
- name: entity1
dtype: string
- name: entity2
dtype: string
splits:
- name: train
num_bytes: 2862540
num_examples: 22278
download_size: 0
dataset_size: 2862540
---
# Dataset Card for "sts_pretrain"
[More Information needed](https://github.com/huggingface/datase... |
vietgpt/openbookqa_en | 2023-06-03T22:16:08.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:en",
"SFT",
"region:us"
] | vietgpt | null | null | null | 0 | 225 | ---
dataset_info:
features:
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dtype: string
- name: question_stem
dtype: string
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sequence:
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dtype: string
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dtype: string
splits:
- name: train
num_bytes: 895386
num_examples: 4957
... |
truehealth/medicationqa | 2023-06-12T14:24:14.000Z | [
"region:us"
] | truehealth | null | null | null | 0 | 225 | ---
dataset_info:
features:
- name: Question
dtype: string
- name: Focus (Drug)
dtype: string
- name: Question Type
dtype: string
- name: Answer
dtype: string
- name: Section Title
dtype: string
- name: URL
dtype: string
splits:
- name: train
num_bytes: 403030
num_examp... |
zishuod/pokemon-icons | 2022-09-24T15:35:39.000Z | [
"task_categories:image-classification",
"license:mit",
"pokemon",
"region:us"
] | zishuod | null | null | null | 2 | 224 | ---
annotations_creators: []
language: []
language_creators: []
license:
- mit
multilinguality: []
pretty_name: pokemon-icons
size_categories: []
source_datasets: []
tags:
- pokemon
task_categories:
- image-classification
task_ids: []
---
# Dataset Card for pokemon-icons
## Table of Contents
- [Table of Contents](#ta... |
katarinagresova/Genomic_Benchmarks_human_nontata_promoters | 2023-03-13T19:33:47.000Z | [
"region:us"
] | katarinagresova | null | null | null | 0 | 224 | ---
dataset_info:
features:
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dtype: string
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dtype: int64
splits:
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num_bytes: 7126511
num_examples: 27097
- name: test
num_bytes: 2375942
num_examples: 9034
download_size: 0
dataset_size: 9502453
---
# Dataset Card for "Genomic_Benchmarks_human... |
pppppppppp2/planeperturbed | 2023-10-10T09:01:30.000Z | [
"region:us"
] | pppppppppp2 | null | null | null | 1 | 224 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 1044598491.4
num_examples: 8800
download_size: 994515901
dataset_size: 1044598491.4
---
#... |
jason-lee08/TinyStoriesExclamationValidation2 | 2023-09-15T20:28:30.000Z | [
"region:us"
] | jason-lee08 | null | null | null | 0 | 224 | ---
dataset_info:
features:
- name: validation
dtype: string
splits:
- name: train
num_bytes: 168184
num_examples: 220
download_size: 89488
dataset_size: 168184
---
# Dataset Card for "TinyStoriesExclamationValidation2"
[More Information needed](https://github.com/huggingface/datasets/blob/main... |
indic_glue | 2023-06-09T13:57:14.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:multiple-choice",
"task_ids:topic-classification",
"task_ids:natural-language-inference",
"task_ids:sentiment-analysis",
"task_ids:semantic-similarity-scoring",
"task_ids:named-entity-recognition",
"task_... | null | IndicGLUE is a natural language understanding benchmark for Indian languages. It contains a wide
variety of tasks and covers 11 major Indian languages - as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. | @inproceedings{kakwani2020indicnlpsuite,
title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}},
author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pra... | null | 4 | 223 | ---
annotations_creators:
- other
language_creators:
- found
language:
- as
- bn
- en
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- other
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|other
task_categories:
- text-classification
- token-classification
- multiple-choi... |
jxie/imagenet-100 | 2023-03-24T21:18:13.000Z | [
"license:mit",
"region:us"
] | jxie | null | null | null | 0 | 223 | ---
license: mit
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': n01558993
'1': n01692333
'2': n01729322
'3': n01735189
'4': n01749939
'5': n01773797
'6': n01820546
... |
griffin/chain_of_density | 2023-09-08T00:43:00.000Z | [
"region:us"
] | griffin | null | null | null | 39 | 223 | ---
dataset_info:
- config_name: annotated
features:
- name: article
dtype: string
- name: highlights
dtype: string
- name: id
dtype: string
- name: prediction
sequence: string
- name: missing
sequence: string
- name: model
dtype: string
- name: annotations
sequence: int64
... |
che111/laion256 | 2022-10-21T13:52:40.000Z | [
"license:openrail",
"region:us"
] | che111 | null | null | null | 0 | 222 | ---
license: openrail
---
|
Confirm-Labs/pythia-12b-neuron-dataset-examples | 2023-08-16T00:43:14.000Z | [
"region:us"
] | Confirm-Labs | null | null | null | 1 | 222 | # pythia-12b-neuron-dataset-examples
This dataset contains the top 64 highest activating dataset examples for each
MLP neuron in Pythia-12b. The dataset examples are all 16 tokens long. See
https://confirmlabs.org/posts/dreaming.html for details.
Columns:
- `layer`: the layer of the neuron
- `neuron`: the index of th... |
JasiekKaczmarczyk/maestro-sustain-quantized | 2023-09-15T10:26:58.000Z | [
"region:us"
] | JasiekKaczmarczyk | null | null | null | 0 | 222 | ---
dataset_info:
features:
- name: midi_filename
dtype: string
- name: pitch
sequence: int16
length: 128
- name: dstart
sequence: float32
length: 128
- name: duration
sequence: float32
length: 128
- name: velocity
sequence: int16
length: 128
- name: dstart_bin
sequ... |
choco9966/requests | 2023-09-14T15:15:04.000Z | [
"region:us"
] | choco9966 | null | null | null | 0 | 222 | Entry not found |
enriched_web_nlg | 2023-06-01T14:59:50.000Z | [
"task_categories:tabular-to-text",
"task_ids:rdf-to-text",
"annotations_creators:found",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|other-web-nlg",
"language:de",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | null | WebNLG is a valuable resource and benchmark for the Natural Language Generation (NLG) community. However, as other NLG benchmarks, it only consists of a collection of parallel raw representations and their corresponding textual realizations. This work aimed to provide intermediate representations of the data for the de... | @InProceedings{ferreiraetal2018,
author = "Castro Ferreira, Thiago and Moussallem, Diego and Wubben, Sander and Krahmer, Emiel",
title = "Enriching the WebNLG corpus",
booktitle = "Proceedings of the 11th International Conference on Natural Language Generation",
year = "2018",
series = {INLG'18},
publis... | null | 1 | 221 | ---
annotations_creators:
- found
language_creators:
- crowdsourced
language:
- de
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-web-nlg
task_categories:
- tabular-to-text
task_ids:
- rdf-to-text
paperswithcode_id: null
pretty_name: Enriched We... |
C-MTEB/EcomRetrieval | 2023-07-28T09:37:55.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 221 | ---
configs:
- config_name: default
data_files:
- split: corpus
path: data/corpus-*
- split: queries
path: data/queries-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 9930587
num_examples: 100902
- name: queries
... |
C-MTEB/MedicalRetrieval | 2023-07-28T09:33:59.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 220 | ---
configs:
- config_name: default
data_files:
- split: corpus
path: data/corpus-*
- split: queries
path: data/queries-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 37393271
num_examples: 100999
- name: queries
... |
keremberke/license-plate-object-detection | 2023-01-18T20:37:51.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"Self Driving",
"Anpr",
"region:us"
] | keremberke | null | @misc{ vehicle-registration-plates-trudk_dataset,
title = { Vehicle Registration Plates Dataset },
type = { Open Source Dataset },
author = { Augmented Startups },
howpublished = { \\url{ https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk } },
url = { https://universe... | null | 7 | 219 | ---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Self Driving
- Anpr
---
<div align="center">
<img width="640" alt="keremberke/license-plate-object-detection" src="https://huggingface.co/datasets/keremberke/license-plate-object-detection/resolve/main/thumbnail.jpg">
</div>
### Datas... |
fcakyon/pokemon-classification | 2023-01-14T13:06:55.000Z | [
"task_categories:image-classification",
"roboflow",
"roboflow2huggingface",
"Gaming",
"region:us"
] | fcakyon | null | @misc{ pokedex_dataset,
title = { Pokedex Dataset },
type = { Open Source Dataset },
author = { Lance Zhang },
howpublished = { \\url{ https://universe.roboflow.com/robert-demo-qvail/pokedex } },
url = { https://universe.roboflow.com/robert-demo-qvail/pokedex },
journal = { Roboflow Universe },
... | null | 1 | 219 | ---
task_categories:
- image-classification
tags:
- roboflow
- roboflow2huggingface
- Gaming
---
<div align="center">
<img width="640" alt="fcakyon/pokemon-classification" src="https://huggingface.co/datasets/fcakyon/pokemon-classification/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['Golbat', 'Mach... |
djstrong/oscar-small | 2023-03-07T19:57:38.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"source_datasets:oscar",
"language:af",
"language:am",
"language:ar",
"language:arz",
"language:as",
"language:az",
"language:azb"... | djstrong | The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.\ | @inproceedings{ortiz-suarez-etal-2020-monolingual,
title = "A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages",
author = "Ortiz Su{\'a}rez, Pedro Javier and
Romary, Laurent and
Sagot, Benoit",
booktitle = "Proceedings of the 58th Annual Meeting of the Associat... | null | 1 | 219 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- af
- am
- ar
- arz
- as
- az
- azb
- ba
- be
- bg
- bn
- bo
- br
- ca
- ce
- ceb
- ckb
- cs
- cv
- cy
- da
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gl
- gu
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- ka
- kk
- ... |
project-sloth/captcha-images | 2023-06-15T21:02:50.000Z | [
"task_categories:image-to-text",
"size_categories:1K<n<10K",
"license:wtfpl",
"captcha",
"ocr",
"region:us"
] | project-sloth | Captcha images dataset. | null | null | 0 | 219 | ---
dataset_info:
features:
- name: image
dtype: image
- name: solution
dtype: string
splits:
- name: train
num_bytes: 24564698
num_examples: 6000
- name: validation
num_bytes: 8195367
num_examples: 2000
- name: test
num_bytes: 8186295
num_examples: 2000
download_size: 28... |
IlyaGusev/ru_turbo_alpaca_evol_instruct | 2023-06-02T11:19:37.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:ru",
"license:cc-by-4.0",
"region:us"
] | IlyaGusev | null | null | null | 6 | 218 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: iteration
dtype: uint32
splits:
- name: train
num_bytes: 105428021
num_examples: 47793
download_size: 27572163
dataset_size: 105428021
license: cc-by-4.0
task_categories:
- text-generat... |
C-MTEB/VideoRetrieval | 2023-07-28T08:45:16.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 218 | ---
configs:
- config_name: default
data_files:
- split: corpus
path: data/corpus-*
- split: queries
path: data/queries-*
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 8176771
num_examples: 100930
- name: queries
... |
C-MTEB/VideoRetrieval-qrels | 2023-07-28T09:22:40.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 218 | ---
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: qid
dtype: string
- name: pid
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 27968
num_examples: 1000
download_size: 17369
dataset_size: 2796... |
arpelarpe/nota | 2022-10-11T07:56:49.000Z | [
"task_categories:automatic-speech-recognition",
"multilinguality:monolingual",
"language:da",
"license:cc0-1.0",
"region:us"
] | arpelarpe | Nota lyd- og tekstdata
Datasættet indeholder både tekst- og taledata fra udvalgte dele af Nota's lydbogsbiblotek. Datasættet består af
over 500 timers oplæsninger og medfølgende transkriptioner på dansk. Al lyddata er i .wav-format, mens tekstdata
er i .txt-format.
I data indgår indlæsninger af Notas eget blad "Insp... | null | null | 2 | 217 | ---
pretty_name: Nota
license:
- cc0-1.0
language:
- da
multilinguality:
- monolingual
task_categories:
- automatic-speech-recognition
---
# Dataset Card Nota Lyd- og tekstdata
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderbo... |
luigisaetta/atco2_atcosim | 2023-03-02T09:09:43.000Z | [
"region:us"
] | luigisaetta | null | null | null | 0 | 217 | ---
dataset_info:
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 2049253684.428
num_examples: 8142
- name: test
num_bytes: 483912622.003
num_examples: 1957
downl... |
C-MTEB/MedicalRetrieval-qrels | 2023-07-28T09:34:03.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 217 | ---
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: qid
dtype: string
- name: pid
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 26893
num_examples: 1000
download_size: 12201
dataset_size: 2689... |
roszcz/giant-midi-sustain | 2023-08-15T18:55:06.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 217 | ---
dataset_info:
features:
- name: notes
struct:
- name: duration
sequence: float64
- name: end
sequence: float64
- name: pitch
sequence: int64
- name: start
sequence: float64
- name: velocity
sequence: int64
- name: midi_filename
dtype: string
splits:
... |
notrichardren/HaluEval | 2023-09-11T21:09:44.000Z | [
"region:us"
] | notrichardren | null | null | null | 0 | 217 | ---
dataset_info:
- config_name: dialogue
features:
- name: knowledge
dtype: string
- name: dialogue_history
dtype: string
- name: right_response
dtype: string
- name: hallucinated_response
dtype: string
- name: task_type
dtype: string
splits:
- name: train
num_bytes: 6332598
... |
result-kand2-sdxl-wuerst-karlo/dc1d52d8 | 2023-10-01T15:17:52.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 217 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 168
num_examples: 10
download_size: 1321
dataset_size: 168
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "dc1d52d... |
covid_qa_deepset | 2022-11-03T16:31:16.000Z | [
"task_categories:question-answering",
"task_ids:closed-domain-qa",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"region:us"... | null | COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19. | @inproceedings{moller2020covid,
title={COVID-QA: A Question Answering Dataset for COVID-19},
author={M{\"o}ller, Timo and Reina, Anthony and Jayakumar, Raghavan and Pietsch, Malte},
booktitle={Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020},
year={2020}
} | null | 1 | 216 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- closed-domain-qa
- extractive-qa
paperswithcode_id: null
pretty_name: COVI... |
wiki_summary | 2022-11-18T22:00:55.000Z | [
"task_categories:text2text-generation",
"task_categories:translation",
"task_categories:question-answering",
"task_categories:summarization",
"task_ids:abstractive-qa",
"task_ids:explanation-generation",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"task_ids:open-domain-abstractive-qa",
"t... | null | \
The dataset extracted from Persian Wikipedia into the form of articles and highlights and cleaned the dataset into pairs of articles and highlights and reduced the articles' length (only version 1.0.0) and highlights' length to a maximum of 512 and 128, respectively, suitable for parsBERT. | \
@misc{Bert2BertWikiSummaryPersian,
author = {Mehrdad Farahani},
title = {Summarization using Bert2Bert model on WikiSummary dataset},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {https://github.com/m3hrdadfi/wiki-summary},
} | null | 4 | 216 | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- fa
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text2text-generation
- translation
- question-answering
- summarization
task_ids:
- abstractive-qa
... |
roszcz/maestro-v1 | 2023-04-23T12:18:27.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 216 | ---
dataset_info:
features:
- name: notes
struct:
- name: duration
sequence: float64
- name: end
sequence: float64
- name: pitch
sequence: int64
- name: start
sequence: float64
- name: velocity
sequence: int64
- name: control_changes
struct:
- name: nu... |
C-MTEB/EcomRetrieval-qrels | 2023-07-28T09:37:58.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 216 | ---
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: qid
dtype: string
- name: pid
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 27890
num_examples: 1000
download_size: 14540
dataset_size: 2789... |
zxvix/pubmed_rapnonbiomedical_2 | 2023-09-13T02:23:56.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 216 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: MedlineCitation
struct:
- name: PMID
dtype: int32
- name: DateCompleted
struct:
- name: Year
dtype: int32
- name: Month
dtype: int32
- nam... |
sproos/arxiv-embeddings | 2023-09-20T18:34:36.000Z | [
"license:apache-2.0",
"region:us"
] | sproos | null | null | null | 0 | 216 | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: abstract
dtype: string
- name: embedding
sequence: float64
splits:
- name: train
num_bytes: 3585049145.8887267
num... |
clips/mfaq | 2022-10-20T11:32:50.000Z | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"annotations_creators:no-annotation",
"language_creators:other",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"language:cs",
"language:da",
"language:de",
"language:en",
"language:es"... | clips | We present the first multilingual FAQ dataset publicly available. We collected around 6M FAQ pairs from the web, in 21 different languages. | @InProceedings{mfaq_a_multilingual_dataset,
title={MFAQ: a Multilingual FAQ Dataset},
author={Maxime {De Bruyn} and Ehsan Lotfi and Jeska Buhmann and Walter Daelemans},
year={2021},
booktitle={MRQA @ EMNLP 2021}
} | null | 26 | 215 | ---
annotations_creators:
- no-annotation
language_creators:
- other
language:
- cs
- da
- de
- en
- es
- fi
- fr
- he
- hr
- hu
- id
- it
- nl
- 'no'
- pl
- pt
- ro
- ru
- sv
- tr
- vi
license:
- cc0-1.0
multilinguality:
- multilingual
pretty_name: MFAQ - a Multilingual FAQ Dataset
size_categories:
- unknown
source_da... |
vblagoje/wikipedia_snippets_streamed | 2021-07-01T15:32:09.000Z | [
"region:us"
] | vblagoje | The dataset was built from the Wikipedia dump (https://dumps.wikimedia.org/).
Each example contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.). | @ONLINE {wikidump,
author = {Wikimedia Foundation},
title = {Wikimedia Downloads},
url = {https://dumps.wikimedia.org}
} | null | 0 | 214 | Entry not found |
rguo123/trump_tweets | 2023-08-07T14:11:46.000Z | [
"region:us"
] | rguo123 | null | null | null | 0 | 214 | Entry not found |
zxvix/c4_academicbiomedical_2 | 2023-09-13T03:58:39.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 214 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: timestamp
dtype: timestamp[s]
- name: url
dtype: string
- name: original_text
dtype: string
splits:
- name: test
num_bytes: 2352052.0
n... |
kmaksatk/cn_data | 2023-09-21T09:54:29.000Z | [
"region:us"
] | kmaksatk | null | null | null | 1 | 214 | Entry not found |
allenai/scicite | 2023-01-25T14:43:39.000Z | [
"task_categories:text-classification",
"task_ids:intent-classification",
"task_ids:multi-class-classification",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:origi... | allenai | This is a dataset for classifying citation intents in academic papers.
The main citation intent label for each Json object is specified with the label
key while the citation context is specified in with a context key. Example:
{
'string': 'In chacma baboons, male-infant relationships can be linked to both
formatio... | @InProceedings{Cohan2019Structural,
author={Arman Cohan and Waleed Ammar and Madeleine Van Zuylen and Field Cady},
title={Structural Scaffolds for Citation Intent Classification in Scientific Publications},
booktitle={NAACL},
year={2019}
} | null | 3 | 213 | ---
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- intent-classification
- multi-class-classification
paperswi... |
Paul/hatecheck | 2022-07-05T10:27:25.000Z | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"arxiv:2012.15606",
"regi... | Paul | null | null | null | 4 | 213 | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: HateCheck
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- hate-speech-detection
---
# Dataset Card fo... |
indiejoseph/wikipedia-zh-yue-filtered | 2023-09-13T13:11:54.000Z | [
"license:cc-by-4.0",
"region:us"
] | indiejoseph | null | null | null | 0 | 213 | ---
license: cc-by-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 90299602
num_examples: 133133
download_size: 56260688
dataset_size: 9... |
Narsil/asr_dummy | 2023-03-30T14:10:15.000Z | [
"region:us"
] | Narsil | Self-supervised learning (SSL) has proven vital for advancing research in
natural language processing (NLP) and computer vision (CV). The paradigm
pretrains a shared model on large volumes of unlabeled data and achieves
state-of-the-art (SOTA) for various tasks with minimal adaptation. However, the
speech processing co... | @article{DBLP:journals/corr/abs-2105-01051,
author = {Shu{-}Wen Yang and
Po{-}Han Chi and
Yung{-}Sung Chuang and
Cheng{-}I Jeff Lai and
Kushal Lakhotia and
Yist Y. Lin and
Andy T. Liu and
Jiatong Shi and
... | null | 0 | 212 | Entry not found |
nishita/webnlg-data2text | 2022-07-21T14:24:22.000Z | [
"region:us"
] | nishita | null | null | null | 0 | 212 | Entry not found |
sepidmnorozy/Korean_sentiment | 2022-08-16T09:25:48.000Z | [
"region:us"
] | sepidmnorozy | null | null | null | 1 | 212 | Entry not found |
SLPL/naab | 2022-11-03T06:33:48.000Z | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"language:fa",
"license:mit",
"arxiv:2208.13486",
"region:us"
] | SLPL | Huge corpora of textual data are always known to be a crucial need for training deep models such as transformer-based ones. This issue is emerging more in lower resource languages - like Farsi. We propose naab, the biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 25... | @misc{https://doi.org/10.48550/arxiv.2208.13486,
doi = {10.48550/ARXIV.2208.13486},
url = {https://arxiv.org/abs/2208.13486},
author = {Sabouri, Sadra and Rahmati, Elnaz and Gooran, Soroush and Sameti, Hossein},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer ... | null | 23 | 212 | ---
language:
- fa
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100M<n<1B
task_categories:
- fill-mask
- text-generation
task_ids:
- language-modeling
- masked-language-modeling
pretty_name: naab (A ready-to-use plug-and-play corpus in Farsi)
---
# naab: A ready-to-use plug-and-play corpus in Farsi... |
yerevann/coco-karpathy | 2022-10-31T11:24:01.000Z | [
"task_categories:image-to-text",
"task_ids:image-captioning",
"language:en",
"coco",
"image-captioning",
"region:us"
] | yerevann | null | null | null | 3 | 212 | ---
language:
- en
task_categories:
- image-to-text
task_ids:
- image-captioning
pretty_name: COCO Karpathy split
tags:
- coco
- image-captioning
---
# Dataset Card for "yerevann/coco-karpathy"
The Karpathy split of COCO for image captioning.
|
jamescalam/youtube-transcriptions | 2022-10-22T01:20:07.000Z | [
"task_categories:conversational",
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_categories:visual-question-answering",
"task_ids:open-domain-qa",
"task_ids:extractive-qa",
"task_ids:document-retrieval",
"task_ids:visual-question-answering",
"annotations_creators:no-an... | jamescalam | null | null | null | 18 | 212 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- afl-3.0
multilinguality:
- monolingual
pretty_name: Youtube Transcriptions
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- youtube
- technical
- speech to text
- speech
- video
- video search
- audio
- audio... |
laion/OIG | 2023-03-31T00:06:28.000Z | [
"license:apache-2.0",
"region:us"
] | laion | null | null | null | 252 | 211 | ---
license: apache-2.0
---
# This is the Open Instruction Generalist Dataset
This is our attempt to create a large instruction dataset of medium quality along with a smaller high quality instruciton dataset (OIG-small-chip2).
The data is in the form of jsonl objects, with at least a 'text' field. Some datasets may ... |
zxvix/pubmed_counterfactual | 2023-08-25T06:56:31.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 211 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: MedlineCitation
struct:
- name: PMID
dtype: int32
- name: DateCompleted
struct:
- name: Year
dtype: int32
- name: Month
dtype: int32
- nam... |
yzhuang/autotree_pmlb_10000_clean2_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T04:54:58.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 211 | ---
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... |
result-kand2-sdxl-wuerst-karlo/0eb4c62d | 2023-10-01T19:54:21.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 211 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 175
num_examples: 10
download_size: 1353
dataset_size: 175
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "0eb4c62... |
conv_ai | 2022-11-03T16:30:55.000Z | [
"task_categories:conversational",
"task_categories:text-classification",
"task_ids:text-scoring",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:unknown",
"evalu... | null | ConvAI is a dataset of human-to-bot conversations labelled for quality. This data can be used to train a metric for evaluating dialogue systems. Moreover, it can be used in the development of chatbots themselves: it contains the information on the quality of utterances and entire dialogues, that can guide a dialogue sy... | null | null | 2 | 210 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- conversational
- text-classification
task_ids:
- text-scoring
paperswithcode_id: null
pretty_name: ConvAi... |
ekinakyurek/ftrace | 2022-10-23T05:56:05.000Z | [
"task_ids:masked-language-modeling",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:TRex",
"source_datasets:Lama",
"language:en",
"license:cc-by-sa-4.0",
"license:cc-by-nc-4.0",
"arxiv:2205.11482",
"region:us"
] | ekinakyurek | Factual Tracing Dataset that contains queries and abstracts, and their corresponding ground truth. | \ | null | 3 | 210 | ---
language:
- en
license:
- cc-by-sa-4.0
- cc-by-nc-4.0
multilinguality:
- monolingual
pretty_name: FTRACE
size_categories:
- 1M<n<10M
source_datasets:
- TRex
- Lama
task_categories:
- influence-attribution
- information-retrieval
- question-answering-retrieval
task_ids:
- influence-attribution
- masked-language-mode... |
IlyaGusev/ru_turbo_saiga | 2023-09-04T13:26:47.000Z | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:ru",
"license:cc-by-4.0",
"chat",
"region:us"
] | IlyaGusev | null | null | null | 10 | 210 | ---
dataset_info:
features:
- name: messages
sequence:
- name: role
dtype: string
- name: content
dtype: string
- name: seed
dtype: string
- name: source
dtype: string
- name: model_name
dtype: string
splits:
- name: train
num_bytes: 87316730
num_examples: 37731... |
bigcode/ta-prompt | 2023-05-04T12:20:22.000Z | [
"language:code",
"license:apache-2.0",
"region:us"
] | bigcode | null | null | null | 151 | 210 | ---
license: apache-2.0
language:
- code
programming_language:
- Java
- JavaScript
- Python
---
# Dataset summary
This repository is dedicated to prompts used to perform in-context learning with [starcoder](https://huggingface.co/bigcode/starcoder). As a matter of fact, the model is an
autoregressive language ... |
readerbench/ro-offense-sequences | 2023-09-23T18:28:19.000Z | [
"task_categories:token-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:readerbench/ro-offense",
"language:ro",
"license:apache-2.0",
"hate-speech-detec... | readerbench | null | null | null | 0 | 210 | ---
license: apache-2.0
annotations_creators:
- expert-generated
language_creators:
- found
task_categories:
- token-classification
language:
- ro
multilinguality:
- monolingual
source_datasets:
- readerbench/ro-offense
tags:
- hate-speech-detection
task_ids:
- hate-speech-detection
pretty_name: RO-Offense-Sequences
si... |
tucan-ai/summaries-de-v1 | 2023-09-29T05:59:39.000Z | [
"region:us"
] | tucan-ai | null | null | null | 0 | 210 | Entry not found |
result-kand2-sdxl-wuerst-karlo/5e4a199e | 2023-10-01T22:19:01.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 210 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 247
num_examples: 10
download_size: 1418
dataset_size: 247
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "5e4a199... |
loubnabnl/clean_prs2 | 2023-09-15T17:58:59.000Z | [
"region:us"
] | loubnabnl | null | null | null | 0 | 209 | ---
dataset_info:
features:
- name: bucket
dtype: string
- name: pull_request_info
struct:
- name: org.id
dtype: int64
- name: public
dtype: bool
- name: pull_request.additions
dtype: int64
- name: pull_request.body
dtype: string
- name: pull_request.changed_fil... |
germaner | 2023-01-25T14:30:52.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:de",
"license:apache-2.0",
"region:us"
] | null | GermaNER is a freely available statistical German Named Entity Tagger based on conditional random fields(CRF). The tagger is trained and evaluated on the NoSta-D Named Entity dataset, which was used in the GermEval 2014 for named entity recognition. The tagger comes close to the performance of the best (proprietary) sy... | @inproceedings{Benikova2015GermaNERFO,
title={GermaNER: Free Open German Named Entity Recognition Tool},
author={Darina Benikova and S. Yimam and Prabhakaran Santhanam and Chris Biemann},
booktitle={GSCL},
year={2015}
} | null | 0 | 207 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- de
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: GermaNER
dataset_info:
features:
... |
MLCommons/peoples_speech | 2023-05-16T16:11:10.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1T<n",
"source_datasets:original",
"language:en",
... | MLCommons | The People's Speech is a free-to-download 30,000-hour and growing supervised
conversational English speech recognition dataset licensed for academic and
commercial usage under CC-BY-SA (with a CC-BY subset). | @article{DBLP:journals/corr/abs-2111-09344,
author = {Daniel Galvez and
Greg Diamos and
Juan Ciro and
Juan Felipe Ceron and
Keith Achorn and
Anjali Gopi and
David Kanter and
Maximilian Lam and
Ma... | null | 24 | 207 | ---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- crowdsourced
- machine-generated
language:
- en
license:
- cc-by-2.0
- cc-by-2.5
- cc-by-3.0
- cc-by-4.0
- cc-by-sa-3.0
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1T<n
source_datasets:
- original
task_categories:
- a... |
joelniklaus/eurlex_resources | 2023-05-10T08:04:28.000Z | [
"task_categories:fill-mask",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:bg",
"language:cs",
"language:da",
"language:de",
"language:el",
"language:en",
"language:es",
"language:e... | joelniklaus | null | 4 | 207 | ---
annotations_creators:
- other
language_creators:
- found
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
license:
- cc-by-4.0
multilinguality:
- multilingual
paperswithcode_id: null
pretty_name: "EurlexResources: A... | ||
DongfuTingle/FeTaQA | 2023-05-08T15:52:42.000Z | [
"task_categories:table-question-answering",
"task_categories:table-to-text",
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | DongfuTingle | null | null | null | 3 | 207 | ---
license: mit
task_categories:
- table-question-answering
- table-to-text
- question-answering
language:
- en
pretty_name: fetaqa
size_categories:
- 1K<n<10K
---
This repo is the unofficial FeTA-QA dataset from paper [FeTaQA: Free-form Table Question Answering](https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a... |
nuprl/MultiPL-T | 2023-09-13T12:57:50.000Z | [
"license:bigcode-openrail-m",
"arxiv:2308.09895",
"region:us"
] | nuprl | null | null | null | 1 | 207 | ---
license: bigcode-openrail-m
dataset_info:
features:
- name: content
dtype: string
splits:
- name: racket
num_bytes: 14482516
num_examples: 40510
- name: ocaml
num_bytes: 19240207
num_examples: 43401
- name: lua
num_bytes: 25917278
num_examples: 48194
download_size: 7491686
... |
yzhuang/autotree_pmlb_10000_banana_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T01:51:46.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 207 | ---
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... |
kmyoo/cnn-dailymail-v1-tiny | 2022-12-02T14:00:12.000Z | [
"region:us"
] | kmyoo | null | null | null | 0 | 206 | Entry not found |
BI55/MedText | 2023-07-25T09:30:17.000Z | [
"license:cc-by-4.0",
"region:us"
] | BI55 | null | null | null | 49 | 206 | ---
license: cc-by-4.0
---
This is the shuffled version of medtext_1, so the datapoints are in random order and not sorted by category. This is to prevent catastrophic forgetting by category.
This is a medical diagnosis dataset containing over 1000 top notch textbook quality patient presentations and diagnosis/treatm... |
nielsr/eurosat-demo | 2022-04-04T15:48:08.000Z | [
"region:us"
] | nielsr | null | null | null | 1 | 205 | Entry not found |
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