id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
orgcatorg/megawika | 2023-10-16T16:35:08.000Z | [
"region:us"
] | orgcatorg | null | null | 0 | 61 | 2023-10-16T14:56:20 | ---
dataset_info:
- config_name: my
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dtorres-zAgile/zc-misti-domain | 2023-10-26T04:18:25.000Z | [
"region:us"
] | dtorres-zAgile | null | null | 0 | 61 | 2023-10-26T04:18:23 | ---
configs:
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path: data/train-*
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ckandemir/bitcoin_tweets_sentiment_kaggle | 2023-10-28T00:31:10.000Z | [
"task_categories:text-classification",
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"multilinguality:multilingual",
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"source_datasets:kaggle",
"datasets",
"bitcoin",
"text-classification",
"sentiment-analysis",
"region:us"
] | ckandemir | null | null | 0 | 61 | 2023-10-27T08:01:02 | ---
multilinguality:
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tags:
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- text-classification
- sentiment-analysis
configs:
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path: ... | 3,901 | [
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oscar-corpus/OSCAR-2109 | 2022-11-08T09:04:43.000Z | [
"task_ids:language-modeling",
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"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... | 31 | 60 | 2022-03-02T23:29:22 | ---
pretty_name: OSCAR
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pmc/open_access | 2023-03-14T17:29:59.000Z | [
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"license:cc-b... | pmc | The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under
license terms that allow reuse.
Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles
in the PMC Open Access Subset are made availabl... | PMC Open Access Subset [Internet]. Bethesda (MD): National Library of Medicine. 2003 - [cited YEAR MONTH DAY]. Available from https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/ | 11 | 60 | 2022-03-02T23:29:22 | ---
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task_cat... | 7,421 | [
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aps/dynahate | 2022-05-18T00:11:13.000Z | [
"region:us"
] | aps | We present a human-and-model-in-the-loop process for dynamically generating datasets and training better performing and more robust hate detection models. We provide a new dataset of ~40,000 entries, generated and labelled by trained annotators over four rounds of dynamic data creation. It includes ~15,000 challenging ... | @inproceedings{vidgen2021learning,
title={Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection},
author={Vidgen, Bertie and Thrush, Tristan and Waseem, Zeerak and Kiela, Douwe},
booktitle={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics a... | 1 | 60 | 2022-04-29T18:50:55 | Entry not found | 15 | [
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hugginglearners/anime-quotes | 2022-08-18T03:54:12.000Z | [
"region:us"
] | hugginglearners | null | null | 2 | 60 | 2022-08-18T03:54:10 | Entry not found | 15 | [
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lmqg/qa_squadshifts | 2022-11-05T05:10:26.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"multilinguality:monolingual",
"size_categories:1k<n<10k",
"source_datasets:extended|wikipedia",
"language:en",
"license:cc-by-4.0",
"arxiv:2004.14444",
"region:us"
] | lmqg | [SQuAD Shifts](https://modestyachts.github.io/squadshifts-website/index.html) dataset for question answering task with custom split. | @inproceedings{miller2020effect,
title={The effect of natural distribution shift on question answering models},
author={Miller, John and Krauth, Karl and Recht, Benjamin and Schmidt, Ludwig},
booktitle={International Conference on Machine Learning},
pages={6905--6916},
year={2020},
organization={PMLR}
} | 0 | 60 | 2022-11-05T02:43:19 | ---
license: cc-by-4.0
pretty_name: SQuADShifts
language: en
multilinguality: monolingual
size_categories: 1k<n<10k
source_datasets:
- extended|wikipedia
task_categories:
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task_ids:
- extractive-qa
---
# Dataset Card for "lmqg/qa_squadshifts"
## Dataset Description
- **Repository:** [https://githu... | 1,756 | [
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songlab/genomes-brassicales-balanced-v1 | 2023-10-19T04:28:19.000Z | [
"license:mit",
"region:us"
] | songlab | null | null | 0 | 60 | 2023-02-14T02:48:37 | ---
license: mit
---
More info: https://github.com/songlab-cal/gpn | 66 | [
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openchat/openchat_sharegpt4_dataset | 2023-07-01T13:20:31.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | openchat | null | null | 110 | 60 | 2023-05-26T13:45:36 | ---
task_categories:
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language:
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pretty_name: OpenChat
size_categories:
- 1K<n<10K
---
This repository contains cleaned and filtered ShareGPT GPT-4 data used to train OpenChat. Details can be found in the [OpenChat repository](https://github.com/imoneoi/openchat). | 302 | [
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rokmr/pets | 2023-07-25T19:20:21.000Z | [
"task_categories:image-classification",
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | rokmr | null | null | 4 | 60 | 2023-07-08T09:44:28 | ---
license: mit
task_categories:
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language:
- en
size_categories:
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splits:
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MB: 20.4
num_examples: 1050
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MB: 3.29
num_examples: 150
download_size: 24 MB
dataset_size: 1050
---
### Dataset Summary
Mini(24 MB) Classification dataset for mini projec... | 1,217 | [
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oliverwang15/fingpt_chatglm2_sentiment_instruction_lora_ft_dataset | 2023-07-11T14:13:24.000Z | [
"region:us"
] | oliverwang15 | null | null | 9 | 60 | 2023-07-10T19:47:46 | ---
dataset_info:
features:
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download_size: 5684894
dataset_size: 16971261.592368826
---
# Dataset Card for "fingpt_chatgl... | 494 | [
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EuropeanParliament/cellar_eurovoc | 2023-09-01T07:35:55.000Z | [
"task_categories:text-classification",
"language:en",
"license:eupl-1.1",
"eurovoc",
"legal",
"multilabel-classification",
"region:us"
] | EuropeanParliament | null | null | 1 | 60 | 2023-07-16T09:46:53 | ---
language:
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pretty_name: Cellar_Eurovoc
tags:
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- multilabel-classification
task_categories:
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license: eupl-1.1
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data_files: "cellar.jsonl.gz"
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data_files: "cellar_en.jsonl.gz"
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data_files: "cellar_f... | 2,604 | [
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Aditya000001/TestDatasetForRA | 2023-08-18T21:21:37.000Z | [
"license:wtfpl",
"region:us"
] | Aditya000001 | null | null | 0 | 60 | 2023-07-25T23:09:13 | ---
license: wtfpl
---
---
tags:
- transportation
- trains
- travel data
- english
---
# Dataset Description
## General Information
- **Title**: TrainInfo2023
- **Description**: This dataset contains information about train schedules, routes, and passenger statistics for the year 2023.
- **Version**: 1.0
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llama2d/llama2d-zoo-compass | 2023-10-06T00:26:19.000Z | [
"region:us"
] | llama2d | null | null | 0 | 60 | 2023-09-29T01:35:19 | ---
dataset_info:
features:
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rmanluo/RoG-webqsp | 2023-10-01T23:40:22.000Z | [
"region:us"
] | rmanluo | null | null | 1 | 60 | 2023-10-01T23:28:20 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: question
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shuttie/dadjokes | 2023-10-10T09:40:50.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"region:us"
] | shuttie | null | null | 0 | 60 | 2023-10-10T09:27:55 | ---
license: apache-2.0
language:
- en
size_categories:
- 10K<n<100K
---
# Dad Jokes dataset
This dataset is generated from the [Kaggle Reddit Dad Jokes](https://www.kaggle.com/datasets/oktayozturk010/reddit-dad-jokes) by [Oktay Ozturk](https://www.kaggle.com/oktayozturk010), with the following modifications:
* Only... | 1,108 | [
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finiteautomata/news-argentina | 2023-10-20T11:50:59.000Z | [
"region:us"
] | finiteautomata | null | null | 0 | 60 | 2023-10-17T13:58:50 | ---
dataset_info:
features:
- name: tweet_id
dtype: string
- name: text
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- name: title
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- name: url
dtype: string
- name: user
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- name: comments
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zelalt/MLPapers-Arxiv | 2023-10-24T16:03:18.000Z | [
"region:us"
] | zelalt | null | null | 0 | 60 | 2023-10-23T23:10:03 | ---
dataset_info:
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---
#... | 459 | [
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Icaruas/openlaw | 2023-10-25T14:58:06.000Z | [
"region:us"
] | Icaruas | null | null | 0 | 60 | 2023-10-25T13:17:17 | Entry not found | 15 | [
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michaelginn/latent-trees-agreement | 2023-10-30T06:04:45.000Z | [
"region:us"
] | michaelginn | null | null | 0 | 60 | 2023-10-27T20:28:55 | ---
dataset_info:
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download_size: 29485
dataset_size: 81155.0
configs:
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data_files... | 580 | [
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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,... | 1 | 59 | 2022-03-02T23:29:22 | ---
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)
#... | 4,321 | [
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MoritzLaurer/multilingual-NLI-26lang-2mil7 | 2022-08-22T21:40:14.000Z | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"task_ids:multi-input-text-classification",
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"source_datasets:multi_nli",
"source_datasets:anli",
"source_datasets:fever... | MoritzLaurer | null | null | 28 | 59 | 2022-08-17T15:28:16 | ---
annotations_creators:
- crowdsourced
language_creators:
- machinetranslation
size_categories:
- 1M<n<5
source_datasets:
- multi_nli
- anli
- fever
- lingnli
- alisawuffles/WANLI
task_categories:
- text-classification
task_ids:
- natural-language-inference
- multi-input-text-classification
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bigbio/codiesp | 2022-12-22T15:44:28.000Z | [
"multilinguality:monolingual",
"language:es",
"license:cc-by-4.0",
"region:us"
] | bigbio | Synthetic corpus of 1,000 manually selected clinical case studies in Spanish
that was designed for the Clinical Case Coding in Spanish Shared Task, as part
of the CLEF 2020 conference.
The goal of the task was to automatically assign ICD10 codes (CIE-10, in
Spanish) to clinical case documents, being evaluated against ... | @article{miranda2020overview,
title={Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020.},
author={Miranda-Escalada, Antonio and Gonzalez-Agirre, Aitor and Armengol-Estap{\'e}, Jordi and Krallinger, Martin},
journal={C... | 0 | 59 | 2022-11-13T22:08:01 |
---
language:
- es
bigbio_language:
- Spanish
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: CodiEsp
homepage: https://temu.bsc.es/codiesp/
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- TEXT_CLASSIFICATION
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBI... | 3,023 | [
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DFKI-SLT/cross_re | 2023-01-19T09:19:12.000Z | [
"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:extended|cross_ner",
"language:en",
"cross domain",
"ai",
"news",
"mus... | DFKI-SLT | CrossRE is a new, freely-available crossdomain benchmark for RE, which comprises six distinct text domains and includes
multilabel annotations. It includes the following domains: news, politics, natural science, music, literature and
artificial intelligence. The semantic relations are annotated on top of CrossNER (Li... | @inproceedings{bassignana-plank-2022-crossre,
title = "Cross{RE}: A {C}ross-{D}omain {D}ataset for {R}elation {E}xtraction",
author = "Bassignana, Elisa and Plank, Barbara",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
year = "2022",
publisher = "Association f... | 0 | 59 | 2023-01-19T09:18:42 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: CrossRE is a cross-domain dataset for relation extraction
size_categories:
- 10K<n<100K
source_datasets:
- extended|cross_ner
tags:
- cross domain
- ai
- news
- music
- literat... | 21,956 | [
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hezarai/sentiment-dksf | 2023-09-02T10:33:35.000Z | [
"task_categories:text-classification",
"language:fa",
"region:us"
] | hezarai | Sentiment analysis dataset extracted and labeled from Digikala and Snapp Food comments | null | 0 | 59 | 2023-02-24T10:39:43 | ---
task_categories:
- text-classification
language:
- fa
pretty_name: Digikala/SnappFood comments sentiment analysis
---
The Sentiment DKSF (Digikala/Snappfood comments) is a dataset for sentiment analysis. | 208 | [
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nomic-ai/gpt4all_prompt_generations | 2023-04-13T21:42:15.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"region:us"
] | nomic-ai | null | null | 120 | 59 | 2023-03-27T23:08:01 | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: source
dtype: string
splits:
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num_bytes: 782175193
num_examples: 437604
download_size: 397878357
dataset_size: 782175193
license: apache-2.0
task_categories:
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Nadav/pixel_glue_cola | 2023-06-08T07:25:47.000Z | [
"region:us"
] | Nadav | null | null | 0 | 59 | 2023-06-07T13:38:16 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
splits:
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num_bytes: 50427044.125
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num_bytes: 6217509.625
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download... | 537 | [
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mwz/UrduAssistant | 2023-08-31T10:28:36.000Z | [
"size_categories:10K<n<100K",
"language:ur",
"license:mit",
"region:us"
] | mwz | null | null | 0 | 59 | 2023-08-13T13:13:42 | ---
license: mit
language:
- ur
pretty_name: urdu assistant
size_categories:
- 10K<n<100K
---
The UrduAssistant dataset provides a collection of dialogues between humans and an AI assistant, covering a wide range of topics. The dataset includes human queries and assistant responses in Urdu.
## Data Format
Each dialo... | 990 | [
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silk-road/ChatHaruhi-54K-Role-Playing-Dialogue | 2023-08-22T00:48:44.000Z | [
"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"language:zh",
"license:cc-by-4.0",
"arxiv:2308.09597",
"region:us"
] | silk-road | null | null | 34 | 59 | 2023-08-22T00:40:09 | ---
license: cc-by-4.0
task_categories:
- text-generation
- text2text-generation
language:
- en
- zh
size_categories:
- 10K<n<100K
---
# ChatHaruhi
# Reviving Anime Character in Reality via Large Language Model
[]()
[ | 130 | [
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keonroohparvar/music_vid_256 | 2023-10-10T04:40:44.000Z | [
"region:us"
] | keonroohparvar | null | null | 0 | 59 | 2023-10-10T04:40:33 | ---
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 93921778.139
num_examples: 9179
download_size: 80840102
dataset_size: 93921778.139
---
# Dataset Card for "music_vid_256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUT... | 366 | [
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amlan107/syn_0 | 2023-10-20T13:54:20.000Z | [
"region:us"
] | amlan107 | null | null | 0 | 59 | 2023-10-20T13:54:19 | ---
dataset_info:
features:
- name: bn
dtype: string
- name: ck
dtype: string
splits:
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num_bytes: 1794536.5235337194
num_examples: 12016
download_size: 839316
dataset_size: 1794536.5235337194
---
# Dataset Card for "syn_0"
[More Information needed](https://github.com/huggingf... | 398 | [
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HamdanXI/lj_speech_DifferentStructure | 2023-10-25T14:41:13.000Z | [
"region:us"
] | HamdanXI | null | null | 0 | 59 | 2023-10-25T14:32:53 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 22050
- name: file
dtype: string
- name: text
dtype: string
splits:
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zhaospei/cmg-codellama | 2023-10-26T06:24:04.000Z | [
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | zhaospei | null | null | 0 | 59 | 2023-10-26T06:20:29 | ---
license: mit
task_categories:
- text2text-generation
language:
- en
size_categories:
- 10K<n<100K
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/h... | 4,466 | [
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Davis/Swahili-tweet-sentiment | 2022-03-05T17:58:17.000Z | [
"license:mit",
"region:us"
] | Davis | null | null | 2 | 58 | 2022-03-05T16:03:06 | ---
license: mit
---
A new Swahili tweet dataset for sentiment analysis.
## Issues ⚠️
Incase you have any difficulties or issues while trying to run the script
you can raise it on the issues section.
## Pull Requests 🔧
If you have something to add or new idea to implement, you are welcome to create ... | 649 | [
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pietrolesci/robust_nli | 2022-04-25T11:45:07.000Z | [
"region:us"
] | pietrolesci | null | null | 1 | 58 | 2022-04-25T11:43:30 | ## Overview
Original dataset is available in the original [Github repo](https://github.com/tyliupku/nli-debiasing-datasets).
This dataset is a collection of NLI benchmarks constructed as described in the paper
[An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference](https://acl... | 10,076 | [
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iamholmes/tiny-imdb | 2022-04-29T13:25:00.000Z | [
"region:us"
] | iamholmes | null | null | 0 | 58 | 2022-04-29T13:24:55 | Entry not found | 15 | [
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google/cvss | 2022-08-27T23:19:14.000Z | [
"license:cc-by-4.0",
"arxiv:2201.03713",
"region:us"
] | google | CVSS is a massively multilingual-to-English speech-to-speech translation corpus,
covering sentence-level parallel speech-to-speech translation pairs from 21
languages into English. | @inproceedings{jia2022cvss,
title={{CVSS} Corpus and Massively Multilingual Speech-to-Speech Translation},
author={Jia, Ye and Tadmor Ramanovich, Michelle and Wang, Quan and Zen, Heiga},
booktitle={Proceedings of Language Resources and Evaluation Conference (LREC)},
pages={6691--6703},
year={2022}
} | 8 | 58 | 2022-08-11T00:54:54 | ---
license: cc-by-4.0
---
# CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus
*CVSS* is a massively multilingual-to-English speech-to-speech translation corpus, covering sentence-level parallel speech-to-speech translation pairs from 21 languages into English. CVSS is derived from the [Common Voice... | 3,299 | [
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bigbio/bionlp_st_2011_id | 2022-12-22T15:43:52.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The dataset of the Infectious Diseases (ID) task of
BioNLP Shared Task 2011. | @inproceedings{pyysalo-etal-2011-overview,
title = "Overview of the Infectious Diseases ({ID}) task of {B}io{NLP} Shared Task 2011",
author = "Pyysalo, Sampo and
Ohta, Tomoko and
Rak, Rafal and
Sullivan, Dan and
Mao, Chunhong and
Wang, Chunxia and
Sobral, Bruno and
... | 1 | 58 | 2022-11-13T22:06:56 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: GENIA_PROJECT_LICENSE
pretty_name: BioNLP 2011 ID
homepage: https://github.com/openbiocorpora/bionlp-st-2011-id
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- EVENT_EXTRACTION
- COREFERENCE_R... | 1,321 | [
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Jean-Baptiste/financial_news_sentiment | 2022-12-29T03:14:44.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | Jean-Baptiste | null | null | 6 | 58 | 2022-12-22T18:49:05 | ---
language:
- en
dataset_info:
splits:
- name: test
num_examples: 267
- name: train
num_examples: 1512
annotations_creators:
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: financial_news_sentiment
size_categories:
- 1K<n<10K
tags: []
task_categories:
- text-classification
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RicardoRei/wmt-mqm-human-evaluation | 2023-02-16T18:29:11.000Z | [
"size_categories:100K<n<1M",
"language:en",
"language:de",
"language:ru",
"language:zh",
"license:apache-2.0",
"mt-evaluation",
"WMT",
"region:us"
] | RicardoRei | null | null | 0 | 58 | 2023-02-16T17:14:16 | ---
license: apache-2.0
language:
- en
- de
- ru
- zh
tags:
- mt-evaluation
- WMT
size_categories:
- 100K<n<1M
---
# Dataset Summary
This dataset contains all MQM human annotations from previous [WMT Metrics shared tasks](https://wmt-metrics-task.github.io/) and the MQM annotations from [Experts, Errors, and Context]... | 1,935 | [
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bigcode/the-stack-github-issues | 2023-03-20T18:07:26.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"language:en",
"region:us"
] | bigcode | null | null | 14 | 58 | 2023-03-16T15:28:51 | ---
annotations_creators: []
language_creators:
- crowdsourced
language:
- en
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
extra_gated_prompt: |-
## Terms of Use for The Stack
The Stack dataset is a collection of sou... | 6,013 | [
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Nadav/pixel_glue_rte | 2023-06-08T06:48:33.000Z | [
"region:us"
] | Nadav | null | null | 1 | 58 | 2023-06-07T21:11:51 | ---
dataset_info:
features:
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dtype: image
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dtype:
class_label:
names:
'0': '0'
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splits:
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download_siz... | 532 | [
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BAAI/COIG-PC | 2023-10-14T10:38:40.000Z | [
"language:zh",
"license:unknown",
"region:us"
] | BAAI | null | null | 206 | 58 | 2023-06-08T05:41:11 | ---
language:
- zh
license: unknown
extra_gated_heading: Acknowledge license to accept the repository
extra_gated_prompt: "北京智源人工智能研究院(以下简称“我们”或“研究院”)通过BAAI DataHub(data.baai.ac.cn)和COIG-PC\
\ HuggingFace仓库(https://huggingface.co/datasets/BAAI/COIG-PC)向您提供开源数据集(以下或称“数据集”),您可通过下载的方式获取您所需的开源数据集,并在遵守各原始数据集使用规则前提下,基于学习、研... | 12,770 | [
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Nadav/pixel_glue_wnli | 2023-06-08T06:36:15.000Z | [
"region:us"
] | Nadav | null | null | 0 | 58 | 2023-06-08T06:14:26 | ---
dataset_info:
features:
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atrost/financial_phrasebank | 2023-06-28T20:09:38.000Z | [
"arxiv:1908.10063",
"region:us"
] | atrost | null | null | 0 | 58 | 2023-06-28T19:53:58 | ---
dataset_info:
features:
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dtype: string
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'0': negative
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splits:
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num_bytes: 434511.7622781676
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phanvancongthanh/enamine_diversity | 2023-09-22T23:41:03.000Z | [
"region:us"
] | phanvancongthanh | null | null | 0 | 58 | 2023-09-16T03:57:13 | Entry not found | 15 | [
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infinityofspace/python_codestyles-random-500 | 2023-10-18T20:38:17.000Z | [
"size_categories:100K<n<1M",
"license:mit",
"python",
"code-style",
"random",
"doi:10.57967/hf/1229",
"region:us"
] | infinityofspace | null | null | 0 | 58 | 2023-09-17T16:03:23 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: code
dtype: string
- name: code_codestyle
dtype: int64
- name: style_context
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Nicolas-BZRD/Parallel_Global_Voices_English_French | 2023-09-21T15:40:05.000Z | [
"task_categories:translation",
"size_categories:100K<n<1M",
"language:en",
"language:fr",
"license:cc-by-3.0",
"parallel",
"parallel data",
"region:us"
] | Nicolas-BZRD | null | null | 0 | 58 | 2023-09-21T15:03:00 | ---
license: cc-by-3.0
dataset_info:
features:
- name: en
dtype: string
- name: fr
dtype: string
splits:
- name: train
num_bytes: 89720129
num_examples: 342060
download_size: 57746668
dataset_size: 89720129
configs:
- config_name: default
data_files:
- split: train
path: data/train... | 1,721 | [
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zkdeng/black_widows | 2023-10-03T22:16:25.000Z | [
"region:us"
] | zkdeng | null | null | 0 | 58 | 2023-10-03T22:16:00 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
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dtype:
class_label:
names:
'0': Lactrodectus_hesperus
'1': Parasteatoda_tepidariorum
splits:
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wal14567/test_xray_dataset | 2023-10-04T01:20:26.000Z | [
"region:us"
] | wal14567 | null | null | 0 | 58 | 2023-10-04T01:19:32 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
dataset_info:
features:
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---
# Da... | 487 | [
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clairebarale/AsyLex | 2023-10-18T18:47:25.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:text-retrieval",
"task_ids:multi-label-classification",
"task_ids:named-entity-recognition",
"task_ids:document-retrieval",
"task_ids:utterance-retrieval",
"language_creators:found",
"multilinguality:mono... | clairebarale | null | null | 1 | 58 | 2023-10-17T14:33:58 | ---
annotations_creators: []
language:
- en
language_creators:
- found
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: AsyLex
size_categories:
- 1M<n<10M
source_datasets: []
tags:
- legal NLP
- Refugee Law
task_categories:
- text-classification
- token-classification
- text-retrieval
task_ids:
- ... | 5,524 | [
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crumb/c4-benchfilter-nano | 2023-10-22T19:22:56.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"language_creators:found",
"size_categories:100K<n<1M",
"source_datasets:c4",
"language:en",
"license:odc-by",
"region:us"
] | crumb | null | null | 2 | 58 | 2023-10-22T06:20:10 | ---
language_creators:
- found
language:
- en
license: odc-by
source_datasets:
- c4
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
dataset_info:
features:
- name: text
dtype: string
- name: score
dtype: float64
splits:
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num_byte... | 1,786 | [
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puqi/test | 2023-10-26T23:30:55.000Z | [
"region:us"
] | puqi | null | null | 0 | 58 | 2023-10-24T23:26:37 | Entry not found | 15 | [
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gianma/eurlexsum_ita_cleaned_8192_86 | 2023-10-28T18:16:14.000Z | [
"region:us"
] | gianma | null | null | 0 | 58 | 2023-10-28T18:15:40 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: reference
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- name: summary
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cfilt/HiNER-collapsed | 2023-03-07T16:32:27.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:hi",
"license:cc-by-sa-4.0",
"arxiv:2204.137... | cfilt | This is the repository for HiNER - a large Hindi Named Entity Recognition dataset. | XX | 0 | 57 | 2022-04-22T10:51:15 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- hi
license: "cc-by-sa-4.0"
multilinguality:
- monolingual
paperswithcode_id: hiner-collapsed-1
pretty_name: HiNER - Large Hindi Named Entity Recognition dataset
size_categories:
- 100K<n<1M
source_datasets:
- original
task_ca... | 6,972 | [
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bigbio/bioasq_2021_mesinesp | 2022-12-22T15:43:30.000Z | [
"multilinguality:monolingual",
"language:es",
"license:cc-by-4.0",
"region:us"
] | bigbio | The main aim of MESINESP2 is to promote the development of practically relevant semantic indexing tools for biomedical content in non-English language. We have generated a manually annotated corpus, where domain experts have labeled a set of scientific literature, clinical trials, and patent abstracts. All the document... | @conference {396,
title = {Overview of BioASQ 2021-MESINESP track. Evaluation of
advance hierarchical classification techniques for scientific
literature, patents and clinical trials.},
booktitle = {Proceedings of the 9th BioASQ Workshop
A challenge on large-scale biomedical semantic indexing
an... | 0 | 57 | 2022-11-13T22:06:28 |
---
language:
- es
bigbio_language:
- Spanish
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: MESINESP 2021
homepage: https://zenodo.org/record/5602914#.YhSXJ5PMKWt
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- TEXT_CLASSIFICATION
---
# Dataset Card for ... | 3,093 | [
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Salesforce/rose | 2023-06-07T21:00:52.000Z | [
"language:en",
"region:us"
] | Salesforce | RoSE benchmark | null | 6 | 57 | 2022-12-14T20:13:26 | ---
language:
- en
---
# ROSE 🌹
This repo contiains the RoSE benchmark of our paper "Revisiting the Gold Standard:
Grounding Summarization Evaluation with Robust Human Evaluation".
Please visit [here](https://yale-lily.github.io/ROSE/) for a demo page of this project.
### ACU Annotations
RoSE benchmark contains... | 1,529 | [
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PKU-Alignment/PKU-SafeRLHF-10K | 2023-07-20T16:29:15.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-nc-4.0",
"safe",
"safety",
"ai-safety",
"llm",
"lm",
"human-feedback",
"rlhf",
"safe-rlhf",
"arxiv:2307.04657",
"region:us"
] | PKU-Alignment | null | null | 43 | 57 | 2023-05-03T11:28:45 | ---
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- en
tags:
- safe
- safety
- ai-safety
- llm
- lm
- human-feedback
- rlhf
- safe-rlhf
size_categories:
- 10K<n<100K
---
## Paper
You can find more information in our paper.
- **Dataset Paper:** <https://arxiv.org/abs/2307.04657>
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nlpai-lab/databricks-dolly-15k-ko | 2023-06-16T03:01:52.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:ko",
"license:cc-by-sa-3.0",
"arxiv:2203.02155",
"region:us"
] | nlpai-lab | null | null | 6 | 57 | 2023-06-01T10:19:09 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
- summarization
language:
- ko
size_categories:
- 10K<n<100K
---
Korean translation of databricks-dolly-15k via the DeepL API
Note: There are cases where multilingual data has been converted to monolingual data during batch translation to Korean using th... | 7,941 | [
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Nadav/pixel_glue_mrpc | 2023-06-08T11:13:45.000Z | [
"region:us"
] | Nadav | null | null | 0 | 57 | 2023-06-07T13:23:13 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
splits:
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num_bytes: 65494891.5
num_examples: 3668
- name: validation
num_bytes: 7296339.0
num_examples: 408
download_size... | 531 | [
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xiyuez/im-feeling-curious | 2023-06-24T17:09:22.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:odc-by",
"region:us"
] | xiyuez | null | null | 2 | 57 | 2023-06-15T22:50:58 | ---
license: odc-by
task_categories:
- question-answering
- text-generation
language:
- en
pretty_name: i'm feeling curious dataset
size_categories:
- 1K<n<10K
---
This public dataset is an extract from Google's "i'm feeling curious" feature. To learn more about this feature, search for "i'm feeling curious" on Google... | 1,222 | [
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BramVanroy/dolly-15k-dutch | 2023-10-11T08:24:55.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:nl",
"license:cc-by-nc-sa-3.0",
"dolly",
"instruct",
"instruction",
"doi:10.57967/hf/0785",
"region:us"
] | BramVanroy | null | null | 1 | 57 | 2023-06-19T06:51:47 | ---
license: cc-by-nc-sa-3.0
task_categories:
- question-answering
- text-generation
language:
- nl
tags:
- dolly
- instruct
- instruction
pretty_name: Dolly 15k Dutch
size_categories:
- 10K<n<100K
---
# Dataset Card for Dolly 15k Dutch
## Dataset Description
- **Homepage:** N/A
- **Repository:** N/A
- **Paper:** N/... | 8,045 | [
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lizhuang144/FACTUAL_Scene_Graph | 2023-07-10T14:55:17.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:openrail",
"region:us"
] | lizhuang144 | null | null | 1 | 57 | 2023-07-02T11:34:38 | ---
license: openrail
language:
- en
pretty_name: FACTUAL
size_categories:
- 10K<n<100K
---
The scene graph parsing dataset described in `FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing`
Please see details from https://github.com/zhuang-li/FACTUAL . | 279 | [
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HydraLM/airoboros-gpt4-1.4_alpaca | 2023-07-27T18:42:45.000Z | [
"region:us"
] | HydraLM | null | null | 1 | 57 | 2023-07-27T07:11:37 | ---
dataset_info:
features:
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splits:
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download_size: 0
dataset_size: 58132330
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Car... | 486 | [
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jinaai/code_exercises | 2023-09-07T08:18:18.000Z | [
"task_categories:text-generation",
"size_categories:100M<n<1B",
"language:en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | jinaai | null | null | 13 | 57 | 2023-08-17T06:38:59 | ---
dataset_info:
features:
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splits:
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num_bytes: 1121418005
num_examples: 1468146
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dataset_size: 1121418005
configs:
- config_name: default
data_files:
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path: data/train-*... | 5,309 | [
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nlplabtdtu/common_qa_25k | 2023-08-25T03:35:47.000Z | [
"region:us"
] | nlplabtdtu | null | null | 0 | 57 | 2023-08-25T03:34:12 | Entry not found | 15 | [
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quocanh34/soict_test_dataset | 2023-08-28T07:28:50.000Z | [
"region:us"
] | quocanh34 | null | null | 0 | 57 | 2023-08-28T07:28:41 | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
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splits:
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num_bytes: 174203109.625
num_examples: 1299
download_size: 164141076
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mvansegb123/commonsense-dialogues | 2023-08-30T23:10:24.000Z | [
"task_categories:text-classification",
"task_categories:table-question-answering",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"arxiv:2109.06427",
"region:us"
] | mvansegb123 | null | null | 1 | 57 | 2023-08-30T22:42:25 | ---
license: cc
task_categories:
- text-classification
- table-question-answering
- text-generation
language:
- en
size_categories:
- 1K<n<10K
---
## Commonsense-Dialogues Dataset
We present Commonsense-Dialogues, a crowdsourced dataset of ~11K dialogues grounded in social contexts involving utilization of commonsense... | 4,247 | [
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math-eval/TAL-SCQ5K | 2023-09-15T06:37:10.000Z | [
"license:mit",
"region:us"
] | math-eval | null | null | 18 | 57 | 2023-09-13T08:58:01 | ---
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... | 4,569 | [
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erhwenkuo/medical_dialogue-chinese-zhtw | 2023-09-27T23:06:14.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:mit",
"region:us"
] | erhwenkuo | null | null | 0 | 57 | 2023-09-27T22:27:35 | ---
language:
- zh
license: mit
size_categories:
- 100K<n<1M
task_categories:
- text-generation
dataset_info:
features:
- name: output
dtype: string
- name: input
dtype: string
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 553726613
num_examples: 799743
download_si... | 1,292 | [
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karan4d/machiavellian_synthetic_textbooks | 2023-10-03T16:30:11.000Z | [
"license:apache-2.0",
"region:us"
] | karan4d | null | null | 2 | 57 | 2023-10-02T03:05:16 | ---
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 | 169 | [
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FudanSELab/CodeGen4Libs | 2023-10-05T02:24:07.000Z | [
"size_categories:100K<n<1M",
"license:mit",
"code-generation",
"region:us"
] | FudanSELab | FudanSELab CodeGen4Libs Dataset | @inproceedings{ase2023codegen4libs,
author = {Mingwei Liu and Tianyong Yang and Yiling Lou and Xueying Du and Ying Wang and and Xin Peng},
title = {{CodeGen4Libs}: A Two-stage Approach for Library-oriented Code Generation},
booktitle = {38th {IEEE/ACM} International Conference on Automated Softwar... | 3 | 57 | 2023-10-04T02:45:28 | ---
license: mit
tags:
- code-generation
pretty_name: CodeGen4Libs Dataset
size_categories:
- 100K<n<1M
---
# Dataset Card for FudanSELab CodeGen4Libs Dataset
## Dataset Description
- **Repository:** [GitHub Repository](https://github.com/FudanSELab/codegen4libs)
- **Paper:** [CodeGen4Libs: A Two-stage Approach for ... | 4,252 | [
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Falah/character_prompts | 2023-10-14T14:01:49.000Z | [
"region:us"
] | Falah | null | null | 0 | 57 | 2023-10-14T14:01:48 | ---
dataset_info:
features:
- name: prompts
dtype: string
splits:
- name: train
num_bytes: 5947224
num_examples: 10000
download_size: 686296
dataset_size: 5947224
---
# Dataset Card for "character_prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.... | 362 | [
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joey234/affixal_negation_polarity | 2023-10-24T02:48:08.000Z | [
"region:us"
] | joey234 | null | null | 0 | 57 | 2023-10-18T06:12:42 | ---
dataset_info:
features:
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dtype: float64
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dtype: float64
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splits:
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num_bytes: 81446
num_examples: 2089
download_size: 30395
dataset_size: 81446
configs:
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ayoub999/LayoutLMv3_dataset_filtred | 2023-10-27T15:28:25.000Z | [
"region:us"
] | ayoub999 | null | null | 0 | 57 | 2023-10-24T08:39:45 | ---
configs:
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data_files:
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path: data/train-*
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sequence:
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atmallen/qm_grader_last_1.0e_0.0p_finetuning | 2023-10-27T04:47:40.000Z | [
"region:us"
] | atmallen | null | null | 0 | 57 | 2023-10-27T04:47:37 | ---
configs:
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data_files:
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features:
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kingpingg/carbon_emission_reduction_300_v2 | 2023-10-28T14:01:49.000Z | [
"region:us"
] | kingpingg | null | null | 0 | 57 | 2023-10-28T13:59:58 | Entry not found | 15 | [
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isek-ai/ak-fandom-20230821-raw | 2023-10-29T11:15:20.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | isek-ai | null | null | 0 | 57 | 2023-10-29T09:44:09 | ---
language:
- en
license: cc-by-sa-4.0
size_categories:
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pretty_name: Arknights Fandom Wiki (Raw) 20230821
dataset_info:
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splits:
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data... | 623 | [
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Lostkyd/InstructionDataset | 2023-10-31T15:15:10.000Z | [
"region:us"
] | Lostkyd | null | null | 0 | 57 | 2023-10-30T07:11:46 | Entry not found | 15 | [
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hakdang/aihub-news30k | 2021-12-06T22:21:04.000Z | [
"region:us"
] | hakdang | null | null | 0 | 56 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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imthanhlv/binhvq_dedup | 2022-01-01T16:42:00.000Z | [
"region:us"
] | imthanhlv | null | null | 0 | 56 | 2022-03-02T23:29:22 | # BinhVQ dedup
**Important**: Please install `lm_dataformat` by `pip install lm_dataformat` before using this dataset
## How to use
```python
import datasets
dataset = datasets.load_dataset("imthanhlv/binhvq_dedup")
```
## Dataset information
This dataset was created from `https://github.com/binhvq/news-corpus` du... | 584 | [
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demelin/wino_x | 2022-07-15T22:28:18.000Z | [
"task_categories:translation",
"task_ids:multiple-choice-qa",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:1K<n<10K",
... | demelin | Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English
counterparts, used to examine whether neural machine translation models can perform coreference resolution that
requires commonsense knowledge and whether multilingual language models are capable of commonsense re... | @inproceedings{Emelin2021WinoXMW,
title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},
author={Denis Emelin and Rico Sennrich},
booktitle={EMNLP},
year={2021}
} | 1 | 56 | 2022-07-14T11:21:23 | ---
annotations_creators:
- no-annotation
language:
- en
- de
- fr
- ru
language_creators:
- machine-generated
- expert-generated
license:
- mit
multilinguality:
- multilingual
- translation
pretty_name: Wino-X
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
- coreference resoluti... | 8,955 | [
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0.013916015625,
0.03179931640625,
-0.051544189453125,
-0.053619384765625,
-0.03973388671875,
0.0420... |
ysharma/short_jokes | 2022-09-26T17:11:06.000Z | [
"license:mit",
"region:us"
] | ysharma | null | null | 1 | 56 | 2022-09-26T16:57:00 | ---
license: mit
---
**Context**
Generating humor is a complex task in the domain of machine learning, and it requires the models to understand the deep semantic meaning of a joke in order to generate new ones. Such problems, however, are difficult to solve due to a number of reasons, one of which is the lack of a dat... | 1,253 | [
[
-0.028350830078125,
-0.0748291015625,
0.034576416015625,
0.035400390625,
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-0.02545166015625,
-0.0250701904296875,
-0.0305633544921875,
0.02581787109375,
0.032318115234375,
-0.049072265625,
-0.04229736328125,
-0.0250091552734375,
0.03131103... |
dougtrajano/olid-br | 2023-07-13T12:45:43.000Z | [
"language:pt",
"license:cc-by-4.0",
"region:us"
] | dougtrajano | null | null | 2 | 56 | 2022-10-08T02:38:32 | ---
language: pt
license: cc-by-4.0
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: is_offensive
dtype: string
- name: is_targeted
dtype: string
- name: targeted_type
dtype: string
- name: toxic_spans
sequence: int64
- name: health
dtype: b... | 6,669 | [
[
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0.030303955078125,
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-0.00740814208984375,
-0.0159912109375,
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0.00963592529296875,
0.038818359375,
-0.0279083251953125,
-0.07000732421875,
-0.050537109375,
0.019149... |
maveriq/tobacco3482 | 2023-03-02T21:23:58.000Z | [
"region:us"
] | maveriq | null | null | 1 | 56 | 2023-03-02T20:46:53 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': ADVE
'1': Email
'2': Form
'3': Letter
'4': Memo
'5': News
'6': Note
'7': Report
'8': Resume
... | 644 | [
[
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0.0206298828125,
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0.059051513671875,
0.043670654296875,
-0.0430908203125,
-0.0606689453125,
-0.04315185546875,
... |
BelleGroup/generated_chat_0.4M | 2023-04-08T03:55:12.000Z | [
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | BelleGroup | null | null | 40 | 56 | 2023-04-08T03:36:11 | ---
license: gpl-3.0
task_categories:
- text2text-generation
language:
- zh
size_categories:
- 100K<n<1M
---
# Generated_Chat_0.4M
## 内容
包含约40万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的个性化角色对话数据,包含角色介绍。
注意:此数据集是由ChatGPT产生的,未经过严格校验,题目或解题过程可能包含错误。使用过程中请注意这一点。
## 样例
```
{
"instruction": "于以下角色信息完成一段对话\nAl... | 2,503 | [
[
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0.0... |
voidful/NMSQA-CODE | 2023-07-24T18:30:24.000Z | [
"language:en",
"region:us"
] | voidful | null | null | 3 | 56 | 2023-04-09T16:54:03 | ---
language: en
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: audio_full_answer_end
sequence: float64
... | 1,812 | [
[
-0.040496826171875,
0.0076446533203125,
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0.0108489990234375,
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0.0275115966796875,
0.005847930908203125,
0.061981201171875,
0.040802001953125,
-0.055328369140625,
-0.05419921875,
-0.03082275390625,
-... |
Thaweewat/instruction-wild-52k-th | 2023-05-09T19:05:42.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:th",
"license:cc-by-sa-3.0",
"instruction-finetuning",
"region:us"
] | Thaweewat | null | null | 1 | 56 | 2023-05-09T16:53:22 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
- summarization
language:
- th
tags:
- instruction-finetuning
size_categories:
- 10K<n<100K
---
# Summary
This is a 🇹🇭 Thai-instructed dataset translated from [InstructionWild](https://github.com/XueFuzhao/InstructionWild) using Google Cloud Translatio... | 747 | [
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0.0406494140625,
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-0.023590087890625,
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0.00998687744140625,
0.05609130859375,
-0.06756591796875,
-0.0462646484375,
-0.0186614990234375,
... |
clarin-knext/nq-pl | 2023-09-07T12:25:03.000Z | [
"language:pl",
"license:cc-by-4.0",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 56 | 2023-06-06T17:13:34 | ---
license: cc-by-4.0
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 220 | [
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0.0286102294921875,
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... |
shumpei2525/fine_tuning521k-ja | 2023-07-02T18:06:01.000Z | [
"license:mit",
"region:us"
] | shumpei2525 | null | null | 10 | 56 | 2023-06-28T14:34:59 | ---
license: mit
---
# fine_tuning521k-ja
This data is a dataset for fine-tuning the local language model (LLM). It consists of the translation of "ign_clean_instruct_dataset_500k" and "GPTeacher." Please feel free to use it. This dataset contains data such as Q&A, contextualized questions, role plays. Please contact ... | 10,261 | [
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0.039794921875,
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0.025360107421875,
0.056915283203125,
-0.036773681640625,
-0.046783447265625,
-0.052032470703125,
0.019821166... |
linkanjarad/baize-chat-data | 2023-07-20T04:30:00.000Z | [
"task_categories:text-generation",
"language:en",
"instruction-finetuning",
"region:us"
] | linkanjarad | null | null | 2 | 56 | 2023-07-20T04:02:56 | ---
language:
- en
tags:
- instruction-finetuning
pretty_name: Baize Chat Data
task_categories:
- text-generation
---
## Dataset Description
**Original Repository:** https://github.com/project-baize/baize-chatbot/tree/main/data
This is a dataset of the training data used to train the [Baize family of models](https:/... | 725 | [
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Yuhthe/vietnews | 2023-07-26T02:59:45.000Z | [
"task_categories:summarization",
"language:vi",
"region:us"
] | Yuhthe | null | null | 0 | 56 | 2023-07-25T10:24:34 | ---
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: guid
dtype: int64
- name: title
dtype: string
- name: abstract
dtype: string
- name: art... | 817 | [
[
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0.0226593017578125,
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0.0134735107421875,
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0.0489501953125,
-0.051605224609375,
-0.06396484375,
-0.044403076171875,
-0.015... |
Vezora/news_seniment_gpt_alpacaformat | 2023-08-14T04:49:12.000Z | [
"license:apache-2.0",
"region:us"
] | Vezora | null | null | 0 | 56 | 2023-07-25T17:21:37 | ---
license: apache-2.0
---
This dataset is a alpaca formatted version of "oliverwang15/news_with_gpt_instructions" (https://huggingface.co/datasets/oliverwang15/news_with_gpt_instructions)
20k examples of grading senitment using gpt (unclear which model) (used to train fingptv3).
For ALPACA LORA users:
Modules you ca... | 1,757 | [
[
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-0.052520751953125,
0.0126495361328125,
0.02276611328125,
-0.0211944580078125,
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-0.0018711090087890625,
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0.016693115234375,
0.048583984375,
-0.04248046875,
-0.043792724609375,
-0.041900634765625,
-0.01... |
ammarnasr/the-stack-rust-clean | 2023-08-14T21:21:30.000Z | [
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:code",
"license:openrail",
"code",
"region:us"
] | ammarnasr | null | null | 1 | 56 | 2023-07-30T11:18:17 | ---
license: openrail
dataset_info:
features:
- name: hexsha
dtype: string
- name: size
dtype: int64
- name: content
dtype: string
- name: avg_line_length
dtype: float64
- name: max_line_length
dtype: int64
- name: alphanum_fraction
dtype: float64
splits:
- name: train
num_... | 1,707 | [
[
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0.0233154296875,
0.021484375,
-0.033447265625,
-0.051300048828125,
-0.030792236328125,
0.00543594... |
ticoAg/ChatMed_Consult_Dataset | 2023-08-18T15:39:11.000Z | [
"task_categories:text-generation",
"language:zh",
"license:cc-by-4.0",
"medical consultation",
"finetuning",
"region:us"
] | ticoAg | null | null | 0 | 56 | 2023-08-18T15:36:29 | ---
license: cc-by-4.0
language:
- zh
tags:
- medical consultation
- finetuning
pretty_name: ChatMed-Dataset
task_categories:
- text-generation
---
# Dataset Card for ChatMed
## Dataset Description
- **Homepage:** https://huggingface.co/datasets/michaelwzhu/ChatMed-Datasets
- **Repository:** https://github.com/micha... | 3,911 | [
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0.03582763671875,
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... |
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