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 |
|---|---|---|---|---|---|---|---|---|---|
Fraser/python-state-changes | 2022-10-11T17:04:35.000Z | [
"language:code",
"region:us"
] | Fraser | Python state changes from a single line of code. | null | null | 6 | 116 | ---
language:
- code
---
# Python State Changes
State changes from the execution of single lines of Python code.
All code was taken from Python HackerRank solutions.
Scraped from my dataset of traced HackerRank solutions. https://www.kaggle.com/frasergreenlee/ran-hackerrank-solutions
```json
{"start": "g = 100; i =... |
juletxara/xquad_xtreme | 2022-10-12T08:43:41.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:extended|squad",
"language:en",
"language:es",
"language:de",
"language:el",
... | juletxara | XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering
performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set
of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translat... | @article{Artetxe:etal:2019,
author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
title = {On the cross-lingual transferability of monolingual representations},
journal = {CoRR},
volume = {abs/1910.11856},
year = {2019},
archivePrefix = {arXiv},
eprin... | null | 5 | 116 | ---
pretty_name: XQuAD-XTREME
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
- es
- de
- el
- hi
- th
- ru
- tr
- ar
- vi
- zh
- ro
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- extended|squad
task_categories:
- quest... |
MMInstruction/M3IT_ML | 2023-10-10T03:37:29.000Z | [
"license:cc-by-4.0",
"region:us"
] | MMInstruction | Multi-modal Bi-lingual Instruction Dataset | null | null | 1 | 116 | ---
license: cc-by-4.0
---
|
luisroque/instruct-python-llama2-20k | 2023-08-18T09:44:00.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | luisroque | null | null | null | 0 | 116 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 34661192.7
num_examples: 19000
- name: test
num_bytes: 1824273.3
num_examples:... |
vhtran/uniq-id-en | 2023-09-06T13:42:25.000Z | [
"license:cc-by-4.0",
"region:us"
] | vhtran | null | null | null | 0 | 116 | ---
license: cc-by-4.0
---
For translating Indonesian to English |
HAERAE-HUB/HAE_RAE_BENCH | 2023-09-28T02:27:35.000Z | [
"task_categories:multiple-choice",
"language:ko",
"license:cc-by-nc-nd-4.0",
"arxiv:2309.02706",
"region:us"
] | HAERAE-HUB | HAE-RAE Bench | @article{son2023hae,
title={HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models},
author={Son, Guijin and Lee, Hanwool and Kim, Suwan and Lee, Jaecheol and Yeom, Je Won and Jung, Jihyu and Kim, Jung Woo and Kim, Songseong},
journal={arXiv preprint arXiv:2309.02706},
year={2023}
} | null | 0 | 116 | ---
license: cc-by-nc-nd-4.0
extra_gated_prompt: >-
To request access to the dataset, please fill out this form, and we'll review
and let you know if your use case is approved.
extra_gated_fields:
First Name: text
Last Name: text
Institution: text
Intended Use: text
I agree to use this dataset for non-com... |
persiannlp/parsinlu_translation_en_fa | 2022-10-24T16:50:37.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:fa",
"multilinguality:en",
"size_categories:1K<n<10K",
"source_datasets:extended",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | persiannlp | A Persian translation dataset (English -> Persian). | @article{huggingface:dataset,
title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian,... | null | 1 | 115 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- fa
license:
- cc-by-nc-sa-4.0
multilinguality:
- fa
- en
size_categories:
- 1K<n<10K
source_datasets:
- extended
task_categories:
- translation
task_ids:
- translation
---
# Dataset Card for PersiNLU (Machine Translation)
#... |
sdadas/8tags | 2022-12-29T11:40:52.000Z | [
"task_categories:text-classification",
"task_ids:topic-classification",
"task_ids:multi-class-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:pl",
"license:cc-by-nc-sa-4.0",
"region:us"
] | sdadas | null | null | null | 0 | 115 | ---
language:
- pl
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- text-classification
task_ids:
- topic-classification
- multi-class-classification
pretty_name: 8TAGS
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype:
... |
clarin-pl/poquad | 2023-07-04T10:50:43.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pl",
"license:cc-by-4.0",
"region:us"
... | clarin-pl | PoQuaD description | Tuora, R., Zawadzka-Paluektau, N., Klamra, C., Zwierzchowska, A., Kobyliński, Ł. (2022).
Towards a Polish Question Answering Dataset (PoQuAD).
In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022.
Lecture Notes in Computer Scien... | null | 1 | 115 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- pl
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: PoQuaD
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
---
PoQuaD dataset |
metaeval/reclor | 2023-05-31T09:59:42.000Z | [
"language:en",
"license:other",
"region:us"
] | metaeval | null | null | null | 2 | 115 | ---
license: other
language:
- en
---
https://whyu.me/reclor/
```bib
@inproceedings{yu2020reclor,
author = {Yu, Weihao and Jiang, Zihang and Dong, Yanfei and Feng, Jiashi},
title = {ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning},
booktitle = {International Conference on Lea... |
vietgpt/the_pile_openwebtext2 | 2023-07-15T09:20:18.000Z | [
"language:en",
"region:us"
] | vietgpt | null | null | null | 1 | 115 | ---
language: en
dataset_info:
features:
- name: title
dtype: string
- name: text
dtype: string
- name: reddit_scores
sequence: int32
splits:
- name: train
num_bytes: 68786199155
num_examples: 17103059
download_size: 42444568964
dataset_size: 68786199155
---
# Dataset Card for "the_p... |
jxu124/llava_detail_23k | 2023-05-20T18:47:30.000Z | [
"region:us"
] | jxu124 | null | null | null | 0 | 115 | ---
dataset_info:
features:
- name: global_image_id
dtype: string
- name: image_path
dtype: string
- name: dialog
sequence:
sequence: string
- name: anns_id
dtype: string
splits:
- name: train
num_bytes: 17698232
num_examples: 23240
download_size: 7640667
dataset_size: 17... |
ChilleD/StrategyQA | 2023-08-26T03:18:40.000Z | [
"license:mit",
"region:us"
] | ChilleD | null | null | null | 0 | 115 | ---
license: mit
dataset_info:
features:
- name: qid
dtype: string
- name: term
dtype: string
- name: description
dtype: string
- name: question
dtype: string
- name: answer
dtype: bool
- name: facts
dtype: string
splits:
- name: train
num_bytes: 524456
num_examples: 16... |
approach0/mathy-phase2 | 2023-08-24T00:25:38.000Z | [
"region:us"
] | approach0 | null | null | null | 0 | 115 | ---
dataset_info:
features:
- name: problem
dtype: string
- name: query
dtype: string
- name: prompt
dtype: string
- name: solution
dtype: string
- name: ground_truth
dtype: 'null'
- name: judge_buffer
dtype: 'null'
- name: manual_query
dtype: 'null'
- name: manual_rating
... |
corbt/unlabeled-recipes | 2023-08-23T23:43:57.000Z | [
"region:us"
] | corbt | null | null | null | 0 | 115 | ---
dataset_info:
features:
- name: recipe
dtype: string
splits:
- name: train
num_bytes: 2793853
num_examples: 5000
download_size: 1465640
dataset_size: 2793853
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "unlabeled-recipes"
[Mor... |
Alignment-Lab-AI/agentcode | 2023-09-08T08:27:16.000Z | [
"region:us"
] | Alignment-Lab-AI | null | null | null | 6 | 115 | Entry not found |
p1atdev/instruction_qa | 2023-09-27T04:57:47.000Z | [
"task_categories:text-generation",
"task_categories:question-answering",
"size_categories:100K<n<1M",
"language:ja",
"language:en",
"region:us"
] | p1atdev | null | null | null | 0 | 115 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: system
dtype: string
- name: question
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: source
dtyp... |
code_x_glue_cc_code_to_code_trans | 2023-07-27T14:11:43.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:other-programming-languages",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:code",
"license:c-uda",
"code-to-code",
"arxiv:2102.04664",
"region:us"
] | null | The dataset is collected from several public repos, including Lucene(http://lucene.apache.org/), POI(http://poi.apache.org/), JGit(https://github.com/eclipse/jgit/) and Antlr(https://github.com/antlr/).
We collect both the Java and C# versions of the codes and find the parallel functions. After removing duplica... | @article{DBLP:journals/corr/abs-2102-04664,
author = {Shuai Lu and
Daya Guo and
Shuo Ren and
Junjie Huang and
Alexey Svyatkovskiy and
Ambrosio Blanco and
Colin B. Clement and
Dawn Drain and
Daxin... | null | 3 | 114 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- code
license:
- c-uda
multilinguality:
- other-programming-languages
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
pretty_name: CodeXGlueCcCodeToCodeTrans
tags:
- code-to-code
data... |
GroNLP/divemt | 2023-02-10T11:04:33.000Z | [
"task_categories:translation",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:it",
"language:vi",
"language:nl",
"langu... | GroNLP | DivEMT is the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or post-edit the same set of English documents into Arabic, Dutch, Italian, Turk... | @inproceedings{sarti-etal-2022-divemt,
title = "{D}iv{EMT}: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages",
author = "Sarti, Gabriele and Bisazza, Arianna and Guerberof Arenas, Ana and Toral, Antonio",
booktitle = "Proceedings of the 2022 Conference on Empirical Metho... | null | 2 | 114 | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
language:
- en
- it
- vi
- nl
- uk
- tr
- ar
license:
- gpl-3.0
multilinguality:
- translation
pretty_name: divemt
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
---
# Dataset Card for Di... |
rungalileo/medical_transcription_4 | 2022-08-04T04:58:36.000Z | [
"region:us"
] | rungalileo | null | null | null | 1 | 114 | Entry not found |
csebuetnlp/BanglaNMT | 2023-02-24T14:46:55.000Z | [
"task_categories:translation",
"annotations_creators:other",
"language_creators:found",
"multilinguality:translation",
"size_categories:1M<n<10M",
"language:bn",
"language:en",
"license:cc-by-nc-sa-4.0",
"bengali",
"BanglaNMT",
"region:us"
] | csebuetnlp | This is the largest Machine Translation (MT) dataset for Bengali-English, introduced in the paper
`Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation`. | @inproceedings{hasan-etal-2020-low,
title = "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for {B}engali-{E}nglish Machine Translation",
author = "Hasan, Tahmid and
Bhattacharjee, Abhik and
Samin, Kazi and
Hasan, Masum and
Basak, Madhusudan and
... | null | 0 | 114 | ---
annotations_creators:
- other
language:
- bn
- en
language_creators:
- found
license:
- cc-by-nc-sa-4.0
multilinguality:
- translation
pretty_name: BanglaNMT
size_categories:
- 1M<n<10M
source_datasets: []
tags:
- bengali
- BanglaNMT
task_categories:
- translation
---
# Dataset Card for `BanglaNMT`
## Table of Co... |
keremberke/indoor-scene-classification | 2023-01-16T21:04:18.000Z | [
"task_categories:image-classification",
"roboflow",
"roboflow2huggingface",
"Retail",
"Pest Control",
"Benchmark",
"region:us"
] | keremberke | null | \ | null | 0 | 114 | ---
task_categories:
- image-classification
tags:
- roboflow
- roboflow2huggingface
- Retail
- Pest Control
- Benchmark
---
<div align="center">
<img width="640" alt="keremberke/indoor-scene-classification" src="https://huggingface.co/datasets/keremberke/indoor-scene-classification/resolve/main/thumbnail.jpg">
</div... |
ArmelR/stack-exchange-sample10000 | 2023-04-06T13:19:45.000Z | [
"region:us"
] | ArmelR | null | null | null | 2 | 114 | ---
dataset_info:
features:
- name: qid
dtype: int64
- name: question
dtype: string
- name: date
dtype: string
- name: metadata
sequence: string
- name: response_j
dtype: string
- name: response_k
dtype: string
splits:
- name: train
num_bytes: 27983797.447734267
num_exa... |
Docugami/dfm-csl-large-benchmark | 2023-10-04T08:41:01.000Z | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:mit",
"docugami",
"dfm-csl",
"xml-knowledge-graphs",
"region:us"
] | Docugami | null | null | null | 4 | 114 | ---
license: mit
language:
- en
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text2text-generation
- text-generation
dataset_info:
features:
- name: Text
dtype: string
- name: Ground Truth
dtype: string
- name: docugami/dfm-csl-large
dtype: string
splits:
- name: eva... |
llm-book/jawiki-sentences | 2023-06-03T03:03:22.000Z | [
"size_categories:10M<n<100M",
"language:ja",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | llm-book | null | null | null | 1 | 114 | ---
language:
- ja
size_categories:
- 10M<n<100M
license:
- cc-by-sa-3.0
- gfdl
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 3569619848
num_examples: 24387500
download_size: 1297833377
dataset_size: 3569619848
---
# Dataset Card for llm-book/jawiki-sentenc... |
wtcherr/unsplash_20k | 2023-06-11T23:49:45.000Z | [
"region:us"
] | wtcherr | null | null | null | 0 | 114 | ---
dataset_info:
features:
- name: image
dtype: image
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 2560499324.351
num_examples: 19999
download_size: 440556200
dataset_size: 2560499324.351
---
# Dataset Card for "unsplash_20k"
[More Information needed](https://github.com/... |
SpeedOfMagic/trivia_qa_tiny | 2023-09-08T16:39:19.000Z | [
"size_categories:n<1K",
"language:en",
"region:us"
] | SpeedOfMagic | null | null | null | 0 | 114 | ---
language:
- en
size_categories:
- n<1K
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset contains 100 samples from [trivia_qa](https://huggingface.co/datasets/trivia_qa) data... |
approach0/MATH-no-asy | 2023-09-13T01:47:49.000Z | [
"region:us"
] | approach0 | null | null | null | 0 | 114 | ---
dataset_info:
features:
- name: src_path
dtype: string
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 5157479.0
num_examples: 6217
- name: test
num_bytes: 3381766.0
num_examples: 4212
downl... |
karan4d/instruct_machiavellian_textbooks | 2023-10-03T16:30:54.000Z | [
"license:apache-2.0",
"region:us"
] | karan4d | null | null | null | 0 | 114 | ---
license: apache-2.0
---
credits: shoutout @vikp for his textbook_quality GH repo this was created with
dataset info: a bunch of bad boy data for Machiavellian LLMs |
turkish_ner | 2023-01-25T14:54:39.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:tr",
"license:cc-by-4.0",
"arxiv:1702.02363... | null | Turkish Wikipedia Named-Entity Recognition and Text Categorization
(TWNERTC) dataset is a collection of automatically categorized and annotated
sentences obtained from Wikipedia. The authors constructed large-scale
gazetteers by using a graph crawler algorithm to extract
relevant entity and domain information
from a se... | @InProceedings@article{DBLP:journals/corr/SahinTYES17,
author = {H. Bahadir Sahin and
Caglar Tirkaz and
Eray Yildiz and
Mustafa Tolga Eren and
Omer Ozan Sonmez},
title = {Automatically Annotated Turkish Corpus for Named Entity Recognition
... | null | 5 | 113 | ---
annotations_creators:
- machine-generated
language_creators:
- expert-generated
language:
- tr
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: TurkishNer
dataset_inf... |
carolina-c4ai/corpus-carolina | 2023-03-23T19:46:16.000Z | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1B<n<10B",
"source_datasets:original",
"languag... | carolina-c4ai | Carolina is an Open Corpus for Linguistics and Artificial Intelligence with a
robust volume of texts of varied typology in contemporary Brazilian Portuguese
(1970-2021). | null | null | 12 | 113 | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- pt
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1B<n<10B
source_datasets:
- original
task_categories:
- fill-mask
- text-generation
task_ids:
- masked-language-modeling
- language-modeling
pretty_name... |
Jzuluaga/atcosim_corpus | 2022-12-05T11:14:57.000Z | [
"task_categories:automatic-speech-recognition",
"multilinguality:monolingual",
"language:en",
"audio",
"automatic-speech-recognition",
"en-atc",
"en",
"robust-speech-recognition",
"noisy-speech-recognition",
"speech-recognition",
"arxiv:2203.16822",
"region:us"
] | Jzuluaga | null | null | null | 0 | 113 | ---
dataset_info:
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: segment_start_time
dtype: float32
- name: segment_end_time
dtype: float32
- name: duration
dtype: float32
splits:
- name: test
... |
cooleel/xfund_de | 2022-12-02T03:12:40.000Z | [
"license:mit",
"region:us"
] | cooleel | 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 | 113 | ---
license: mit
---
The xfund dataset with annotations at the word level.
The original XFUND dataset
see more detail at [this](https://github.com/doc-analysis/XFUND)
#### Citation Information
``` latex
@inproceedings{xu-etal-2022-xfund,
title = "{XFUND}: A Benchmark Dataset for Multilingual Visually Rich For... |
sanchit-gandhi/concatenated_librispeech | 2023-01-26T11:45:39.000Z | [
"region:us"
] | sanchit-gandhi | null | null | null | 0 | 113 | ---
dataset_info:
features:
- name: audio
dtype: audio
splits:
- name: train
num_bytes: 707889.0
num_examples: 1
download_size: 0
dataset_size: 707889.0
---
# Dataset Card for "concatenated_librispeech"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#... |
lucadiliello/newsqa | 2023-06-06T08:36:25.000Z | [
"region:us"
] | lucadiliello | null | null | null | 2 | 113 | ---
dataset_info:
features:
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence: string
- name: key
dtype: string
- name: labels
list:
- name: end
sequence: int64
- name: start
sequence: int64
splits:
- name: train
num_bytes: ... |
theodor1289/imagenet-1k_tiny | 2023-03-23T08:14:11.000Z | [
"region:us"
] | theodor1289 | null | null | null | 1 | 113 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': tench, Tinca tinca
'1': goldfish, Carassius auratus
'2': great white shark, white shark, man-eater, man-eating shark, Carcharodon
carcharias
... |
Francesco/underwater-pipes-4ng4t | 2023-03-30T09:18:16.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | null | 1 | 113 | ---
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... |
akoksal/LongForm | 2023-09-19T20:20:39.000Z | [
"task_categories:text2text-generation",
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:conversational",
"task_categories:summarization",
"task_categories:table-to-text",
"size_categories:10K<n<100K",
"language:en",
"instruction-tuning",
"arxiv:2304.08460"... | akoksal | null | null | null | 30 | 113 | ---
dataset_info:
features:
- name: input
dtype: string
- name: output
dtype: string
- name: source
dtype: string
- name: subset
dtype: string
splits:
- name: train
num_bytes: 63759065
num_examples: 23652
- name: validation
num_bytes: 6190242
num_examples: 2042
- name: ... |
argilla/dolly-curated-comparison-falcon-7b-instruct | 2023-07-13T11:28:57.000Z | [
"language:en",
"region:us"
] | argilla | null | null | null | 4 | 113 | ---
language: en
dataset_info:
features:
- name: prompt
dtype: string
- name: response-1
dtype: string
- name: response-2
dtype: string
- name: category
dtype: string
- name: original_response
dtype: string
- name: external_id
dtype: int64
splits:
- name: train
num_bytes: 1... |
verbrannter/invoice_dataset_large_cleaned_2 | 2023-07-16T14:59:01.000Z | [
"region:us"
] | verbrannter | null | null | null | 1 | 113 | ---
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 7090191899.096405
num_examples: 25434
- name: test
num_bytes: 1772687358.9035952
num_examples: 6359
download_size: 1645061199
dataset_size: 8862879258.0
---
... |
C-MTEB/BQ | 2023-07-28T13:52:50.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 113 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: score
dtype: int32
split... |
mcaleste/sat_multiple_choice_math_may_23 | 2023-09-18T21:38:15.000Z | [
"region:us"
] | mcaleste | null | null | null | 0 | 113 | Entry not found |
minh21/COVID-QA-testset-data | 2023-10-06T07:10:41.000Z | [
"region:us"
] | minh21 | null | null | null | 0 | 113 | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: context_chunks
sequence: string
- name: document_id
dtype: int64
- name: id
dtype: int64
- name: context
dtype: string
splits:
- name: train
num_bytes: 16708455
num_examples:... |
result-kand2-sdxl-wuerst-karlo/53f478ab | 2023-10-06T00:13:20.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 113 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 257
num_examples: 10
download_size: 1433
dataset_size: 257
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "53f478a... |
code_x_glue_tt_text_to_text | 2023-07-27T15:29:15.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:da",
"language:en",
"language:lv",
"language:nb",
"language:zh",
"license:c-uda",
"code-documentation-tr... | null | The dataset we use is crawled and filtered from Microsoft Documentation, whose document located at https://github.com/MicrosoftDocs/. | @article{DBLP:journals/corr/abs-2102-04664,
author = {Shuai Lu and
Daya Guo and
Shuo Ren and
Junjie Huang and
Alexey Svyatkovskiy and
Ambrosio Blanco and
Colin B. Clement and
Dawn Drain and
Daxin... | null | 1 | 112 | ---
annotations_creators:
- found
language_creators:
- found
language:
- da
- en
- lv
- nb
- zh
license:
- c-uda
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
pretty_name: CodeXGlueTtTextToText
tags:
- code-documentation-translation... |
jakeazcona/short-text-multi-labeled-emotion-classification | 2021-12-02T01:08:12.000Z | [
"region:us"
] | jakeazcona | null | null | null | 0 | 112 | Entry not found |
lgrobol/openminuscule | 2022-10-23T09:28:36.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:100k<n<1M",
"source_datasets:original",
"language:en",
"language:fr",
"license:cc-by-4.0",
"region:us"
] | lgrobol | null | null | null | 0 | 112 | ---
language_creators:
- crowdsourced
language:
- en
- fr
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 100k<n<1M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: Open Minuscule
language_bcp47:
- en-GB
- fr-FR
---
Open Minuscule
=======... |
pkavumba/balanced-copa | 2022-10-03T00:39:01.000Z | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|copa",
"language:en",
"license:cc-by-4.0",
"region:us"
] | pkavumba | null | null | null | 0 | 112 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: BCOPA
size_categories:
- unknown
source_datasets:
- extended|copa
task_categories:
- question-answering
task_ids:
- multiple-choice-qa
---
... |
MickyMike/cvefixes_bigvul | 2022-10-12T10:31:00.000Z | [
"license:mit",
"region:us"
] | MickyMike | null | null | null | 4 | 112 | ---
license: mit
---
|
graphs-datasets/CIFAR10 | 2023-02-07T16:37:24.000Z | [
"task_categories:graph-ml",
"license:mit",
"arxiv:2003.00982",
"region:us"
] | graphs-datasets | null | null | null | 1 | 112 | ---
licence: unknown
license: mit
task_categories:
- graph-ml
---
# Dataset Card for CIFAR10
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- ... |
keremberke/hard-hat-detection | 2023-01-16T21:39:24.000Z | [
"task_categories:object-detection",
"roboflow",
"roboflow2huggingface",
"Construction",
"Utilities",
"Manufacturing",
"Logistics",
"Ppe",
"Assembly Line",
"Warehouse",
"Factory",
"Damage Risk",
"region:us"
] | keremberke | null | @misc{ hard-hats-fhbh5_dataset,
title = { Hard Hats Dataset },
type = { Open Source Dataset },
author = { Roboflow Universe Projects },
howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/hard-hats-fhbh5 } },
url = { https://universe.roboflow.com/roboflow-universe-projec... | null | 3 | 112 | ---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
- Construction
- Utilities
- Manufacturing
- Logistics
- Ppe
- Assembly Line
- Warehouse
- Factory
- Construction
- Logistics
- Utilities
- Damage Risk
- Ppe
---
<div align="center">
<img width="640" alt="keremberke/hard-hat-detection" s... |
pierreguillou/DocLayNet-base | 2023-05-17T08:56:30.000Z | [
"task_categories:object-detection",
"task_categories:image-segmentation",
"task_categories:token-classification",
"task_ids:instance-segmentation",
"annotations_creators:crowdsourced",
"size_categories:1K<n<10K",
"language:en",
"language:de",
"language:fr",
"language:ja",
"license:other",
"Doc... | pierreguillou | Accurate document layout analysis is a key requirement for high-quality PDF document conversion. With the recent availability of public, large ground-truth datasets such as PubLayNet and DocBank, deep-learning models have proven to be very effective at layout detection and segmentation. While these datasets are of adeq... | @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 | 6 | 112 | ---
language:
- en
- de
- fr
- ja
annotations_creators:
- crowdsourced
license: other
pretty_name: DocLayNet base
size_categories:
- 1K<n<10K
tags:
- DocLayNet
- COCO
- PDF
- IBM
- Financial-Reports
- Finance
- Manuals
- Scientific-Articles
- Science
- Laws
- Law
- Regulations
- Patents
- Government-Tenders
- object-de... |
JasperLS/prompt-injections | 2023-05-16T17:16:21.000Z | [
"region:us"
] | JasperLS | null | null | null | 5 | 112 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 71720
num_examples: 546
- name: test
num_bytes: 15981
num_examples: 116
download_size: 51215
dataset_size: 87701
---
# Dataset Card for "deberta-v3-base-injection-da... |
tyzhu/squad_baseline_train_10_eval_10 | 2023-09-19T05:30:24.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 112 | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: context_id
dtype: string
... |
spyroot/cornell_sum_movie_dialog | 2023-09-22T09:32:52.000Z | [
"license:apache-2.0",
"region:us"
] | spyroot | null | null | null | 0 | 112 | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: movieID
dtype: string
- name: movieTitle
dtype: string
- name: movieYear
dtype: string
- name: movieIMDBRating
dtype: string
- name: movieNoIMDBVotes
... |
reversebutlerianjihad/AnorexicPajama | 2023-09-25T08:04:20.000Z | [
"region:us"
] | reversebutlerianjihad | null | null | null | 1 | 112 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: text
dtype: string
- name: meta
struct:
- name: redpajama_set_name
dtype: string
- n... |
facebook/babi_qa | 2023-01-25T14:26:58.000Z | [
"task_categories:question-answering",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:1K<n<10K",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:cc-by-3.0",
... | facebook | The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any syst... | @misc{weston2015aicomplete,
title={Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks},
author={Jason Weston and Antoine Bordes and Sumit Chopra and Alexander M. Rush and Bart van Merriënboer and Armand Joulin and Tomas Mikolov},
year={2015},
eprint={1502.05698},
archi... | null | 5 | 111 | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- cc-by-3.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
- 1K<n<10K
- n<1K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: babi-1
pretty_name: Ba... |
social_bias_frames | 2023-04-05T13:40:19.000Z | [
"task_categories:text2text-generation",
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0... | null | Social Bias Frames is a new way of representing the biases and offensiveness that are implied in language.
For example, these frames are meant to distill the implication that "women (candidates) are less qualified"
behind the statement "we shouldn’t lower our standards to hire more women." | @inproceedings{sap2020socialbiasframes,
title={Social Bias Frames: Reasoning about Social and Power Implications of Language},
author={Sap, Maarten and Gabriel, Saadia and Qin, Lianhui and Jurafsky, Dan and Smith, Noah A and Choi, Yejin},
year={2020},
booktitle={ACL},
} | null | 8 | 111 | ---
pretty_name: Social Bias Frames
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text2text-generation
- text-classification
task_ids:
- hate-speech-detection
... |
smilegate-ai/kor_unsmile | 2022-03-27T12:29:28.000Z | [
"region:us"
] | smilegate-ai | null | null | null | 0 | 111 | Entry not found |
IIC/qges | 2022-06-16T12:11:00.000Z | [
"region:us"
] | IIC | null | null | null | 0 | 111 | Entry not found |
merve/supersoaker-failures | 2022-09-08T16:06:06.000Z | [
"license:apache-2.0",
"region:us"
] | merve | null | null | null | 0 | 111 | ---
license: apache-2.0
---
|
zoheb/sketch-scene | 2022-10-30T10:07:48.000Z | [
"task_categories:text-to-image",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<10K",
"source_datasets:FS-COCO",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | zoheb | null | null | null | 11 | 111 | ---
license: cc-by-nc-sa-4.0
language:
- en
language_creators:
- machine-generated
multilinguality:
- monolingual
pretty_name: 'Sketch Scene Descriptions'
size_categories:
- n<10K
source_datasets:
- FS-COCO
tags: []
task_categories:
- text-to-image
task_ids: []
---
# Dataset Card for Sketch Scene Descriptions
_Datase... |
mstz/glass | 2023-04-16T17:29:45.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1k",
"language:en",
"license:cc",
"glass",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_glass_efficiency_242,
author = {Tsanas,Athanasios & Xifara,Angeliki},
title = {{Glass efficiency}},
year = {2012},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C51307}}
} | null | 0 | 111 | ---
language:
- en
tags:
- glass
- tabular_classification
- binary_classification
- UCI
pretty_name: Glass evaluation
size_categories:
- n<1k
task_categories:
- tabular-classification
configs:
- glass
- windows
- vehicles
- containers
- tableware
- headlamps
license: cc
---
# Glass
The [Glass dataset](https://archive-b... |
math-eval/TAL-SCQ5K | 2023-09-15T06:37:10.000Z | [
"license:mit",
"region:us"
] | math-eval | null | null | null | 16 | 111 | ---
license: mit
---
<h1 align="center">TAL-SCQ5K</h1>
## Dataset Description
### Dataset Summary
TAL-SCQ5K-EN/TAL-SCQ5K-CN are high quality mathematical competition datasets in English and Chinese language created by TAL Education Group, each consisting of 5K questions(3K training and 2K testing). The questions ar... |
biomrc | 2023-04-05T09:41:42.000Z | [
"language:en",
"region:us"
] | null | We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. Care was taken to reduce noise, compared to the previous BIOREAD dataset of Pappas et al. (2018). Experiments show that simple heuristics do not perform well on the new dataset and that two neural MRC models that had been tested on BIOREAD perform m... | @inproceedings{pappas-etal-2020-biomrc,
title = "{B}io{MRC}: A Dataset for Biomedical Machine Reading Comprehension",
author = "Pappas, Dimitris and
Stavropoulos, Petros and
Androutsopoulos, Ion and
McDonald, Ryan",
booktitle = "Proceedings of the 19th SIGBioMed Workshop on Biomedical L... | null | 3 | 110 | ---
language:
- en
paperswithcode_id: biomrc
pretty_name: BIOMRC
dataset_info:
- config_name: plain_text
features:
- name: abstract
dtype: string
- name: title
dtype: string
- name: entities_list
sequence: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 1653301820
... |
swahili_news | 2023-01-25T14:45:11.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:sw",
"license:cc-by-4.0",
"region:us"
] | null | Swahili is spoken by 100-150 million people across East Africa. In Tanzania, it is one of two national languages (the other is English) and it is the official language of instruction in all schools. News in Swahili is an important part of the media sphere in Tanzania.
News contributes to education, technology, and the... | @dataset{davis_david_2020_5514203,
author = {Davis David},
title = {Swahili : News Classification Dataset},
month = dec,
year = 2020,
note = {{The news version contains both train and test sets.}},
publisher = {Zenodo},
version = {0.2},
doi = {10.5281... | null | 2 | 110 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- sw
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
pretty_name: 'Swahili : News Classification D... |
xglue | 2023-06-30T09:06:30.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-classification",
"task_categories:text2text-generation",
"task_categories:token-classification",
"task_ids:acceptability-classification",
"task_ids:extractive-qa",
"task_ids:named-entity-recognition",
"task_... | null | XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained
models with respect to cross-lingual natural language understanding and generation.
The benchmark is composed of the following 11 tasks:
- NER
- POS Tagging (POS)
- News Classification (NC)
- MLQA
- XNLI
- PAWS-X
- Query-Ad Matchi... | @article{Liang2020XGLUEAN,
title={XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation},
author={Yaobo Liang and Nan Duan and Yeyun Gong and Ning Wu and Fenfei Guo and Weizhen Qi
and Ming Gong and Linjun Shou and Daxin Jiang and Guihong Cao and Xiaodong Fan and Ruofei
Zhan... | null | 20 | 110 | ---
annotations_creators:
- crowdsourced
- expert-generated
- found
- machine-generated
language_creators:
- crowdsourced
- expert-generated
- found
- machine-generated
language:
- ar
- bg
- de
- el
- en
- es
- fr
- hi
- it
- nl
- pl
- pt
- ru
- sw
- th
- tr
- ur
- vi
- zh
license:
- other
multilinguality:
- multilingu... |
ChristophSchuhmann/MS_COCO_2017_URL_TEXT | 2021-11-27T15:39:29.000Z | [
"region:us"
] | ChristophSchuhmann | null | null | null | 11 | 110 | Entry not found |
rubrix/gutenberg_spacy-ner | 2022-02-24T21:48:13.000Z | [
"region:us"
] | rubrix | null | null | null | 0 | 110 | Entry not found |
bigbio/bionlp_st_2013_cg | 2022-12-22T15:43:57.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | the Cancer Genetics (CG) is a event extraction task and a main task of the BioNLP Shared Task (ST) 2013.
The CG task is an information extraction task targeting the recognition of events in text,
represented as structured n-ary associations of given physical entities. In addition to
addressing the cancer domain, the CG... | @inproceedings{pyysalo-etal-2013-overview,
title = "Overview of the Cancer Genetics ({CG}) task of {B}io{NLP} Shared Task 2013",
author = "Pyysalo, Sampo and
Ohta, Tomoko and
Ananiadou, Sophia",
booktitle = "Proceedings of the {B}io{NLP} Shared Task 2013 Workshop",
month = aug,
year = ... | null | 1 | 110 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: GENIA_PROJECT_LICENSE
pretty_name: BioNLP 2013 CG
homepage: https://github.com/openbiocorpora/bionlp-st-2013-cg
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- EVENT_EXTRACTION
- NAMED_ENTITY_... |
roneneldan/TinyStoriesInstruct | 2023-05-18T21:20:35.000Z | [
"region:us"
] | roneneldan | null | null | null | 18 | 110 | Entry not found |
GATE-engine/medical_decathlon | 2023-06-28T00:08:47.000Z | [
"region:us"
] | GATE-engine | null | null | null | 0 | 110 | ---
dataset_info:
features:
- name: image
sequence:
sequence:
sequence:
sequence: float32
- name: label
sequence:
sequence:
sequence:
sequence: float32
- name: image_meta_dict
struct:
- name: affine
sequence:
sequence: float64
- n... |
totally-not-an-llm/sharegpt-hyperfiltered-3k | 2023-07-13T02:17:45.000Z | [
"license:apache-2.0",
"region:us"
] | totally-not-an-llm | null | null | null | 6 | 110 | ---
license: apache-2.0
---
# sharegpt-hyperfiltered-3k
90k sharegpt convos brought down to ~3k (3243) via language filtering, keyword detection, deduping, and regex. Following things were done:
- Deduplication on first message from human
- Remove non-English convos
- Remove censorship, refusals, and alignment
- Rem... |
jxie/higgs-normalized | 2023-09-13T00:55:35.000Z | [
"region:us"
] | jxie | null | null | null | 0 | 110 | ---
dataset_info:
features:
- name: label
dtype: float64
- name: inputs
sequence: float64
splits:
- name: train
num_bytes: 2478000000
num_examples: 10500000
- name: test
num_bytes: 118000000
num_examples: 500000
- name: train_1k
num_bytes: 236000
num_examples: 1000
- name... |
Schweinhund/arch_ml_v_1 | 2023-09-29T09:52:11.000Z | [
"region:us"
] | Schweinhund | null | null | null | 0 | 110 | Entry not found |
result-kand2-sdxl-wuerst-karlo/7e27d622 | 2023-10-06T03:10:37.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 110 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 232
num_examples: 10
download_size: 1424
dataset_size: 232
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "7e27d62... |
lccc | 2022-11-18T22:07:56.000Z | [
"task_categories:conversational",
"task_ids:dialogue-generation",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:zh",
"license:mit",
"arxiv:2008.03946",
"region:us"
] | null | LCCC: Large-scale Cleaned Chinese Conversation corpus (LCCC) is a large corpus of Chinese conversations.
A rigorous data cleaning pipeline is designed to ensure the quality of the corpus.
This pipeline involves a set of rules and several classifier-based filters.
Noises such as offensive or sensitive words, special sym... | @inproceedings{wang2020chinese,
title={A Large-Scale Chinese Short-Text Conversation Dataset},
author={Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},
booktitle={NLPCC},
year={2020},
url={https://arxiv.org/abs/2008.03946}
} | null | 13 | 109 | ---
annotations_creators:
- other
language_creators:
- other
language:
- zh
license:
- mit
multilinguality:
- monolingual
paperswithcode_id: lccc
pretty_name: 'LCCC: Large-scale Cleaned Chinese Conversation corpus'
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- conversational
task_ids:
- d... |
grosenthal/latin_english_translation | 2023-07-17T21:59:06.000Z | [
"task_categories:translation",
"size_categories:10K<n<100K",
"language:la",
"language:en",
"license:mit",
"doi:10.57967/hf/0903",
"region:us"
] | grosenthal | null | null | null | 4 | 109 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: la
dtype: string
- name: en
dtype: string
- name: file
dtype: string
splits:
- name: train
num_bytes: 39252644
num_examples: 99343
- name: test
num_bytes: 405056
num_examples: 1014
- name: valid
num_bytes: ... |
manu/wmt-en-fr | 2023-09-19T08:27:24.000Z | [
"region:us"
] | manu | null | null | null | 0 | 109 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 14956705827
... |
distil-whisper/earnings21 | 2023-09-19T11:49:58.000Z | [
"region:us"
] | distil-whisper | null | null | null | 0 | 109 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: audio
dtype: audio
- name: file_id
dtype: string
- name: audio_length
dtype: string
- name: sample_rate
dtype: string
- name: company_name
dtype: string
- name: finan... |
gsarti/clean_mc4_it | 2022-10-23T09:01:21.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:extended",
"language:it",
"license:odc-by",
"arxiv:1910.10683",
"arxiv:2203.03759",
"region:us"
] | gsarti | A thoroughly cleaned version of the Italian portion of the multilingual
colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning
detailed in the repo... | @article{JMLR:v21:20-074,
author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
journal = {Journal of Machine Learn... | null | 6 | 108 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- it
license:
- odc-by
multilinguality:
- monolingual
size_categories:
tiny:
- 1M<n<10M
small:
- 10M<n<100M
medium:
- 10M<n<100M
large:
- 10M<n<100M
full:
- 100M<n<1B
source_datasets:
- extended
task_categories:
- text-ge... |
suolyer/pile_wikipedia | 2023-03-27T03:58:20.000Z | [
"license:apache-2.0",
"region:us"
] | suolyer | null | null | null | 0 | 108 | ---
license: apache-2.0
---
|
danielpark/MQuAD-v1 | 2023-04-07T12:21:48.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"language:ko",
"license:apache-2.0",
"biology",
"region:us"
] | danielpark | null | null | null | 2 | 108 | ---
license: apache-2.0
task_categories:
- question-answering
- text-generation
language:
- en
- ko
tags:
- biology
pretty_name: Medical domain QA dataset for training a medical chatbot.
---
# MQuAD
The Medical Question and Answering dataset(MQuAD) has been refined, including the following datasets. You can download i... |
ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered | 2023-04-28T07:36:17.000Z | [
"region:us"
] | ehartford | null | null | null | 88 | 108 | This dataset is the WizardLM dataset victor123/evol_instruct_70k, removing instances of blatant alignment.
54974 instructions remain.
inspired by https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py
---
lice... |
MMInstruction/M3IT-80 | 2023-06-20T12:43:25.000Z | [
"task_categories:image-to-text",
"task_categories:image-classification",
"size_categories:0.5M<n<1M",
"license:other",
"region:us"
] | MMInstruction | Multi-modal Bi-lingual Instruction Dataset | null | null | 1 | 108 | ---
license: other
task_categories:
- image-to-text
- image-classification
size_categories:
- 0.5M<n<1M
---
# Dataset Card for M3IT-80
Project Page: [https://m3-it.github.io/](https://m3-it.github.io/)
## Dataset Description
- **Homepage: https://huggingface.co/datasets/MMInstruction/M3IT-80**
- **Repository: https... |
AILab-CVC/SEED-Bench | 2023-08-02T03:02:59.000Z | [
"task_categories:visual-question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | AILab-CVC | null | null | null | 10 | 108 | ---
license: cc-by-nc-4.0
task_categories:
- visual-question-answering
language:
- en
pretty_name: SEED-Bench
size_categories:
- 10K<n<100K
---
# SEED-Bench Card
## Benchmark details
**Benchmark type:**
SEED-Bench is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs).
It consists of 19K m... |
stockmark/ner-wikipedia-dataset | 2023-09-02T14:42:18.000Z | [
"task_categories:token-classification",
"language:ja",
"license:cc-by-sa-3.0",
"Named Entity Recognition",
"NER",
"region:us"
] | stockmark | null | null | null | 1 | 108 | ---
license: cc-by-sa-3.0
language:
- ja
tags:
- Named Entity Recognition
- NER
task_categories:
- token-classification
---
# Wikipediaを用いた日本語の固有表現抽出データセット
- GitHub: https://github.com/stockmarkteam/ner-wikipedia-dataset/
- LICENSE: CC-BY-SA 3.0
Developed by Stockmark Inc. |
TearGosling/limarp_standardized | 2023-09-05T01:01:28.000Z | [
"region:us"
] | TearGosling | null | null | null | 0 | 108 | Entry not found |
MU-NLPC/Calc-svamp | 2023-10-07T17:27:37.000Z | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"math world problems",
"math",
"arithmetics",
"region:us"
] | MU-NLPC | null | null | null | 0 | 108 | ---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- math world problems
- math
- arithmetics
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: chain
dtype: string
- name: result
dtype: string
- name: res... |
hyperdemocracy/us-congress-bills | 2023-09-11T01:40:51.000Z | [
"license:mit",
"region:us"
] | hyperdemocracy | null | null | null | 0 | 108 | ---
license: mit
---
|
jphme/wikitext_de_document_level_v01 | 2023-09-21T13:08:52.000Z | [
"region:us"
] | jphme | null | null | null | 0 | 108 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: test
num_bytes: 1860002
num_examples: 200
download_size: 1138143
dataset_size: 1860002
---
# Dataset Card for "wikitext_de_document_level_v01... |
anamhira/foundation_action | 2023-10-10T20:28:54.000Z | [
"region:us"
] | anamhira | null | null | null | 0 | 108 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
dataset_info:
features:
- name: prompt
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 663896
num_examples: 289
- name: valid
num_... |
DykeF/NCTCRCHE100K | 2023-10-04T19:37:15.000Z | [
"license:cc-by-4.0",
"region:us"
] | DykeF | This is a set of 100,000 non-overlapping image patches from hematoxylin & eosin (H&E) stained histological images of human colorectal cancer (CRC) and normal tissue.
All images are 224x224 pixels (px) at 0.5 microns per pixel (MPP). All images are color-normalized using Macenko's method (http://ieeexplore.ieee.org/abst... | Kather, Jakob Nikolas, Halama, Niels, & Marx, Alexander. (2018). 100,000 histological images of human colorectal cancer and healthy tissue (v0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1214456 | null | 0 | 108 | ---
license: cc-by-4.0
---
# NCTCRCHE100K Dataset Card
# Citation
```bash
Kather, Jakob Nikolas, Halama, Niels, & Marx, Alexander. (2018). 100,000 histological images of human colorectal cancer and healthy tissue (v0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1214456
```
# Description
This is a set of 100,... |
hybrid_qa | 2023-03-28T12:23:49.000Z | [
"task_categories:question-answering",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"multihop-tabular-text-qa",
"arxiv:1909.05358",
"region:us"
] | null | Existing question answering datasets focus on dealing with homogeneous information, based either only on text or KB/Table information alone. However, as human knowledge is distributed over heterogeneous forms, using homogeneous information alone might lead to severe coverage problems. To fill in the gap, we present Hyb... | @article{chen2020hybridqa,
title={HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data},
author={Chen, Wenhu and Zha, Hanwen and Chen, Zhiyu and Xiong, Wenhan and Wang, Hong and Wang, William},
journal={Findings of EMNLP 2020},
year={2020}
} | null | 1 | 107 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: hybridqa
pretty_name: HybridQA
tags:
- multihop-ta... |
BAJIRAO/imdb_sentiment_3000 | 2022-09-13T12:14:34.000Z | [
"region:us"
] | BAJIRAO | null | null | null | 0 | 107 | Entry not found |
jxm/the_office_lines | 2023-03-07T18:30:51.000Z | [
"region:us"
] | jxm | null | null | null | 18 | 107 | ## the_office_lines
<img src="https://a.pinatafarm.com/1351x1232/c8fa71efd1/the-office-handshake.jpg" width="256">
A dataset of lines from the U.S. version of the tv show "The Office". Lines were originally scraped from the website [officequotes.net](https://www.officequotes.net/), are fan-transcribed, and may be of ... |
PNLPhub/DigiMag | 2023-06-20T09:39:05.000Z | [
"license:apache-2.0",
"region:us"
] | PNLPhub | \\\\\\\A total of 8,515 articles scraped from Digikala Online Magazine. This dataset includes seven different classes. | \@article{ParsBERT,
title={ParsBERT: Transformer-based Model for Persian Language Understanding},
author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
journal={ArXiv},
year={2020},
volume={abs/2005.12515}
} | null | 0 | 107 | ---
license: apache-2.0
---
|
PNLPhub/parsinlu-multiple-choice | 2023-09-03T13:45:10.000Z | [
"license:apache-2.0",
"region:us"
] | PNLPhub | A Persian multiple choice task. | @article{huggingface:dataset,
title = {ParsiNLU: A Suite of Language Understanding Challenges for Persian},
authors = {Khashabi, Daniel and Cohan, Arman and Shakeri, Siamak and Hosseini, Pedram and Pezeshkpour, Pouya and Alikhani, Malihe and Aminnaseri, Moin and Bitaab, Marzieh and Brahman, Faeze and Ghazarian,... | null | 0 | 107 | ---
license: apache-2.0
dataset_info:
features:
- name: answer
dtype: string
- name: candidates
sequence: string
- name: category
dtype: string
- name: question
dtype: string
- name: id
dtype: string
splits:
- name: train
num_bytes: 580795
num_examples: 1271
- name:... |
devxpy/therapychat2 | 2023-09-10T08:27:48.000Z | [
"region:us"
] | devxpy | null | null | null | 0 | 107 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: train
num_bytes: 8703844
num_examples: 1573
download_size: 0
da... |
JvManger/pharmacy-llama-2-indic2 | 2023-09-26T08:23:28.000Z | [
"region:us"
] | JvManger | null | null | null | 0 | 107 | Entry not found |
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