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 |
|---|---|---|---|---|---|---|---|---|---|
webis/Touche23-ValueEval | 2023-05-23T20:19:40.000Z | [
"task_categories:text-classification",
"task_categories:zero-shot-classification",
"task_ids:multi-label-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"Human Values",
"Value Detection",
"Multi-Label",
"region:us"
] | webis | Dataset for Touch\u00E9 / SemEval 2023 Task 4; ValueEval: Identification of Human Values behind Arguments:
https://www.overleaf.com/6679855346wrdckzkdccxg
Based on the original Webis-ArgValues-22 (https://doi.org/10.5281/zenodo.5657249) dataset accompanying the paper
Identifying the Human Values behind Arguments (Kiese... | @Article{mirzakhmedova:2023a,
author = {Nailia Mirzakhmedova and Johannes Kiesel and Milad Alshomary and Maximilian Heinrich and Nicolas Handkeand Xiaoni Cai and Valentin Barriere and Doratossadat Dastgheib and Omid Ghahroodi and {Mohammad Ali} Sadraeiand Ehsaneddin Asgari and Lea Kawaletz and Henning Wachsmuth an... | null | 3 | 67 | ---
license: cc-by-4.0
task_categories:
- text-classification
- zero-shot-classification
task_ids:
- multi-label-classification
language:
- en
tags:
- Human Values
- Value Detection
- Multi-Label
pretty_name: Human Value Detection Dataset
size_categories:
- 1K<n<10K
---
# The Touché23-ValueEval D... |
mstz/pums | 2023-04-18T07:42:19.000Z | [
"task_categories:tabular-classification",
"language:en",
"pums",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_us_census_data_(1990)_116,
author = {Meek,Meek, Thiesson,Thiesson & Heckerman,Heckerman},
title = {{US Census Data (1990)}},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5VP42}}
} | null | 0 | 67 | ---
language:
- en
tags:
- pums
- tabular_classification
- binary_classification
- UCI
pretty_name: Ipums
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- pums
---
# Pums
The [Pums dataset](https://archive-beta.ics.uci.... |
gauss314/bitcoin_daily | 2023-07-30T02:20:32.000Z | [
"task_categories:tabular-regression",
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"license:gpl-3.0",
"bitcoin",
"cryptocurrencies",
"crypto",
"region:us"
] | gauss314 | null | null | null | 2 | 67 | ---
license: gpl-3.0
task_categories:
- tabular-regression
- tabular-classification
tags:
- bitcoin
- cryptocurrencies
- crypto
size_categories:
- 1K<n<10K
--- |
Patt/ReCoRD_TH_drop | 2023-07-20T15:29:42.000Z | [
"task_categories:text-classification",
"language:en",
"language:th",
"arxiv:1907.04307",
"region:us"
] | Patt | null | null | null | 0 | 67 | ---
task_categories:
- text-classification
language:
- en
- th
dataset_info:
features:
- name: passage
dtype: string
- name: passage_TH
dtype: string
- name: query
dtype: string
- name: query_TH
dtype: string
- name: entities
sequence: string
- name: entities_TH
sequence: string
... |
rusheeliyer/uk-abs | 2023-08-11T16:40:28.000Z | [
"region:us"
] | rusheeliyer | null | null | null | 0 | 67 | ---
dataset_info:
features:
- name: judgement
dtype: string
- name: summary
dtype: string
splits:
- name: train
num_bytes: 52800141
num_examples: 589
- name: test
num_bytes: 8174530
num_examples: 100
- name: validation
num_bytes: 10432092
num_examples: 104
download_size: ... |
morpheuslord/cve-llm-training | 2023-08-30T06:26:48.000Z | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"code",
"region:us"
] | morpheuslord | null | null | null | 4 | 67 | ---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- code
pretty_name: CVE-LLm-Dataset
data_source: Custom data collected from the CVE database
data_formats: JSONL
---
# CVE-llm_dataset
This dataset is intended to train an LLM model for an utterly CVE-focused input and output.
## Data extr... |
pharaouk/codellama_blob_1 | 2023-08-24T22:30:45.000Z | [
"region:us"
] | pharaouk | null | null | null | 0 | 67 | Entry not found |
boapps/kmdb_classification | 2023-09-21T11:43:34.000Z | [
"region:us"
] | boapps | null | null | null | 0 | 67 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: title
dtype: string
- name: description
dtype: string
- name:... |
Trelis/tiny-shakespeare | 2023-09-06T16:27:30.000Z | [
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"fine-tuning",
"shakespeare",
"region:us"
] | Trelis | null | null | null | 0 | 67 | ---
task_categories:
- text-generation
language:
- en
tags:
- fine-tuning
- shakespeare
size_categories:
- n<1K
---
# Data source
Downloaded via Andrej Karpathy's nanogpt repo from this [link](https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt)
# Data Format
- The entire dataset ... |
bobbybelajar/LlamaAmazonReviewOneColumn | 2023-09-15T07:12:06.000Z | [
"region:us"
] | bobbybelajar | null | null | null | 0 | 67 | Entry not found |
zxvix/pubmed_subset_wiki_40p | 2023-09-22T13:47:37.000Z | [
"region:us"
] | zxvix | null | null | null | 0 | 67 | ---
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: 4745394961.571536
num_examples: 1666514
- name: test
num_bytes: 1024229
num_ex... |
tyzhu/squad_title_v4_train_10_eval_10 | 2023-09-26T14:59:03.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 67 | ---
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
... |
TIGER-Lab/MetricInstruct | 2023-10-10T12:52:55.000Z | [
"arxiv:2310.00752",
"region:us"
] | TIGER-Lab | null | null | null | 4 | 67 | ---
configs:
- config_name: train
data_files:
- split: train_real_world
path:
- "data/new_real_world.json"
- split: train_synthetic
path:
- "data/new_synthetic.json"
- split: train_mix
path:
- "data/new_mix.json"
---
## MetricInstruct
We present TIGERScore, a **T**rained metric that f... |
tomashs/LSC_acronyms_topic_vectors | 2023-10-05T21:38:49.000Z | [
"region:us"
] | tomashs | null | null | null | 0 | 67 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: text
dtype: string
- name: short_form
dtype: string
- name: long_form
dtype: string
- na... |
carnival13/sur_test | 2023-10-08T06:27:14.000Z | [
"region:us"
] | carnival13 | null | null | null | 0 | 67 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 1297540140
num_examples: 900000
download_size: 298907283
dataset_size: 1297540140
configs:
- config_name: default
data_files:
- split: train
path: da... |
SetFit/rte | 2022-02-28T12:46:43.000Z | [
"region:us"
] | SetFit | null | null | null | 0 | 66 | # Glue RTE
This dataset is a port of the official [`rte` dataset](https://huggingface.co/datasets/glue/viewer/rte/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
arka0821/multi_document_summarization | 2022-10-20T19:13:26.000Z | [
"task_categories:summarization",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"arxiv:2010.14235",
"region:us"
] | arka0821 | Multi-Document, a large-scale multi-document summarization dataset created from scientific articles. Multi-Document introduces a challenging multi-document summarization task: writing the related-work section of a paper based on its abstract and the articles it references. | @article{lu2020multi,
title={Multi-Document: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles},
author={Arka Das, India},
journal={arXiv preprint arXiv:2010.14235},
year={2022}
} | null | 3 | 66 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
task_ids:
- summarization-other-paper-abstract-generation
paperswithcode_id: multi-document
pretty_name... |
SetFit/tweet_eval_stance_abortion | 2022-09-05T13:09:04.000Z | [
"region:us"
] | SetFit | null | null | null | 0 | 66 | Entry not found |
tglcourse/lsun_church_train | 2022-10-19T12:20:45.000Z | [
"region:us"
] | tglcourse | null | null | null | 0 | 66 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
0: '0'
1: '1'
2: '2'
3: '3'
4: '4'
5: '5'
6: '6'
7: '7'
8: '8'
9: '9'
10: a
... |
kuroneko5943/weibo16 | 2023-01-10T16:01:32.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:zh",
"license:apache-2.0",
"weibo",
"sentiment"... | kuroneko5943 | GLUE, the General Language Understanding Evaluation benchmark
(https://gluebenchmark.com/) is a collection of resources for training,
evaluating, and analyzing natural language understanding systems. | \ | null | 4 | 66 | ---
annotations_creators:
- machine-generated
language:
- zh
language_creators:
- crowdsourced
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: weibo16
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- weibo
- sentiment
task_categories:
- text-classification
task_ids:
- sentiment-classifi... |
ruanchaves/hatebr | 2023-04-13T13:39:40.000Z | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:pt",
"instagram",
"doi:10.57967/hf/0274",
"region:us"
] | ruanchaves | HateBR is the first large-scale expert annotated corpus of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media. The HateBR corpus was collected from Brazilian Instagram comments of politicians and manually annotated by specialists. It is composed of 7,000 documents ... | @inproceedings{vargas2022hatebr,
title={HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection},
author={Vargas, Francielle and Carvalho, Isabelle and de G{\'o}es, Fabiana Rodrigues and Pardo, Thiago and Benevenuto, Fabr{\'\i}cio},
booktitle={Proce... | null | 5 | 66 | ---
annotations_creators:
- expert-generated
language:
- pt
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: HateBR - Offensive Language and Hate Speech Dataset in Brazilian Portuguese
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- instagram
task_categories:
- text-cla... |
wangrui6/Zhihu-KOL | 2023-04-23T13:26:03.000Z | [
"task_categories:question-answering",
"language:zh",
"region:us"
] | wangrui6 | null | null | null | 92 | 66 | ---
dataset_info:
features:
- name: INSTRUCTION
dtype: string
- name: RESPONSE
dtype: string
- name: SOURCE
dtype: string
- name: METADATA
dtype: string
splits:
- name: train
num_bytes: 2295601241
num_examples: 1006218
download_size: 1501204472
dataset_size: 2295601241
task_cat... |
Elfsong/ClinicalDataset | 2023-03-05T06:43:13.000Z | [
"task_categories:summarization",
"task_categories:conversational",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | Elfsong | null | null | null | 11 | 66 | ---
task_categories:
- summarization
- conversational
language:
- en
pretty_name: MediQA
size_categories:
- 1K<n<10K
---
# MEDIQA-Chat 2023 Training/Validation Data
# Task A
The training set consists of 1,201 pairs of conversations and associated section headers and contents.
The validation set consists of 100 pairs... |
nuprl/ts-training | 2023-05-23T19:34:07.000Z | [
"region:us"
] | nuprl | null | null | null | 1 | 66 | ---
dataset_info:
features:
- name: hexsha
dtype: string
- name: size
dtype: int64
- name: ext
dtype: string
- name: lang
dtype: string
- name: max_stars_repo_path
dtype: string
- name: max_stars_repo_name
dtype: string
- name: max_stars_repo_head_hexsha
dtype: string
- nam... |
slvnwhrl/blurbs-clustering-s2s | 2023-04-24T11:40:19.000Z | [
"size_categories:10K<n<100K",
"language:de",
"license:cc-by-nc-4.0",
"embeddings",
"clustering",
"benchmark",
"region:us"
] | slvnwhrl | null | null | null | 0 | 66 | ---
license: cc-by-nc-4.0
language:
- de
tags:
- embeddings
- clustering
- benchmark
size_categories:
- 10K<n<100K
---
This dataset can be used as a benchmark for clustering word embeddings for <b>German</b>.
The datasets contains book titles and is based on the dataset from the [GermEval 2019 Shared Task on Hierarch... |
renumics/cifar100-enriched | 2023-06-06T12:23:33.000Z | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-80-Million-Tiny-Images",
"language:en",
"license:mit",
"image classification",
"cifar-100",
"cifar-... | renumics | The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images
per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses.
There are two labels per image - fine label (act... | @TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
title = {Learning multiple layers of features from tiny images},
institution = {},
year = {2009}
} | null | 4 | 66 | ---
license: mit
task_categories:
- image-classification
pretty_name: CIFAR-100
source_datasets:
- extended|other-80-Million-Tiny-Images
paperswithcode_id: cifar-100
size_categories:
- 10K<n<100K
tags:
- image classification
- cifar-100
- cifar-100-enriched
- embeddings
- enhanced
- spotlight
- renumics
language:
- en
... |
michaelwzhu/ShenNong_TCM_Dataset | 2023-06-25T13:29:04.000Z | [
"license:apache-2.0",
"region:us"
] | michaelwzhu | null | null | null | 19 | 66 | ---
license: apache-2.0
---
|
heegyu/korquad-chat-v1 | 2023-05-06T09:12:14.000Z | [
"license:mit",
"region:us"
] | heegyu | null | null | null | 5 | 66 | ---
license: mit
---
- 총 9619개의 한국어 지식기반 대화 데이터셋입니다.
- KorQuAD 1.0 데이터에 있는 문서를 ChatGPT에게 준 뒤 생성했습니다.
서로를 호칭하는 부분은 아래처럼 처리되어있습니다.
```
안녕하세요 <|bot|>. 요즘 어떻게 지내시나요?\n<bot> 안녕하세요 <|user|>.
```
데이터 샘플
```
{
"source": "korquad-chat",
"text": "
<sys>유전자의 이름은 인도의 수도 뉴델리의 이름을 따 붙여졌는데, 이는 2009년 용 (Yong) 등이 ... |
nisaar/Lawyer_GPT_India | 2023-06-16T05:49:30.000Z | [
"license:apache-2.0",
"region:us"
] | nisaar | null | null | null | 3 | 66 | ---
license: apache-2.0
---
**Dataset Card for Indian Polity Question-Answer Dataset**
---
**Dataset Summary**
This dataset contains a collection of question-answer pairs on the subject of Indian Polity. The aim is to provide comprehensive answers to a wide range of questions pertaining to the Indian Constitution, ... |
open-llm-leaderboard/results | 2023-10-11T01:16:56.000Z | [
"region:us"
] | open-llm-leaderboard | null | null | null | 11 | 66 | Entry not found |
augtoma/medmcqa | 2023-08-11T20:44:27.000Z | [
"region:us"
] | augtoma | null | null | null | 0 | 66 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: cop
dtype:
class_label:
names:
'0': a
'1': b
... |
Dzeniks/wikipedia_keywords | 2023-09-01T14:58:30.000Z | [
"license:apache-2.0",
"region:us"
] | Dzeniks | null | null | null | 0 | 66 | ---
license: apache-2.0
---
|
ChangeIsKey/open-riksdag | 2023-09-13T07:57:38.000Z | [
"size_categories:1M<n<10M",
"language:sv",
"license:cc-by-4.0",
"diachronic",
"semantic change",
"region:us"
] | ChangeIsKey | This is a dataset of text from the Riksdag, Sweden's legislative body.
The original data is availble without a license under the Re-use of Public Administration Documents Act (2010:566) at https://data.riksdagen.se/data/dokument
This dataset is derivative of a version compiled by Språkbanken Text (SBX) at the Univer... | null | null | 0 | 66 | ---
language:
- sv
license: cc-by-4.0
size_categories:
- 1M<n<10M
pretty_name: Open Riksdag-103
tags:
- diachronic
- semantic change
---
This is a dataset of text from the Riksdag, Sweden's national legislative body.
The original data is availble without a license under the Re-use of Public Administration Documents ... |
Minami-su/roleplay_multiturn_chat_1k_zh_v0.1 | 2023-10-03T09:39:45.000Z | [
"language:zh",
"roleplay",
"multiturn_chat",
"region:us"
] | Minami-su | null | null | null | 4 | 66 | ---
language:
- zh
tags:
- roleplay
- multiturn_chat
---
## 介绍
基于self-instruct生成的多轮对话roleplay数据，约1k条不同的人格数据和对话
## 存在问题：
1.基于模型自身生成，所以roleplay存在模型本身价值观融入情况，导致roleplay不够真实，不够准确。
## 关于我自己：
我是小雨的开发者，小雨是一个情感ai，人格ai，如果对小雨感兴趣的话欢迎支持一下，她目前在bilibili直播，目前我仍在不断的改进
url：https://live.bilibili.com/27357528?broadcast_type=0&is_room_f... |
phanvancongthanh/enamine_diversity | 2023-09-22T23:41:03.000Z | [
"region:us"
] | phanvancongthanh | null | null | null | 0 | 66 | Entry not found |
gary-roach/NLP | 2023-09-21T01:40:44.000Z | [
"region:us"
] | gary-roach | null | null | null | 0 | 66 | Entry not found |
minh21/COVID-QA-validation-sentence-transformer | 2023-09-24T01:27:54.000Z | [
"region:us"
] | minh21 | null | null | null | 0 | 66 | ---
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
splits:
- name: train
num_bytes: 95329437
num_examples: 2019
download_size: 17898620
da... |
CollectiveCognition/chats-data-2023-09-27 | 2023-09-28T00:40:51.000Z | [
"license:mit",
"region:us"
] | CollectiveCognition | null | null | null | 11 | 66 | ---
license: mit
---
# Dataset Card for "Collective Cognition ChatGPT Conversations"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#da... |
doqa | 2023-04-05T10:04:58.000Z | [
"language:en",
"arxiv:2005.01328",
"region:us"
] | null | DoQA is a dataset for accessing Domain Specific FAQs via conversational QA that contains 2,437 information-seeking question/answer dialogues
(10,917 questions in total) on three different domains: cooking, travel and movies. Note that we include in the generic concept of FAQs also
Community Question Answering sites, as... | @misc{campos2020doqa,
title={DoQA -- Accessing Domain-Specific FAQs via Conversational QA},
author={Jon Ander Campos and Arantxa Otegi and Aitor Soroa and Jan Deriu and Mark Cieliebak and Eneko Agirre},
year={2020},
eprint={2005.01328},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | null | 0 | 65 | ---
language:
- en
paperswithcode_id: doqa
pretty_name: DoQA
dataset_info:
- config_name: cooking
features:
- name: title
dtype: string
- name: background
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: id
dtype: string
- name: answers
sequence:
... |
hate_speech_pl | 2022-11-03T16:15:27.000Z | [
"task_categories:text-classification",
"task_ids:text-scoring",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"task_ids:sentiment-classification",
"task_ids:sentiment-scoring",
"task_ids:topic-classification",
"annotations_creators:expert-generated",
"language_creator... | null | HateSpeech corpus in the current version contains over 2000 posts crawled from public Polish web. They represent various types and degrees of offensive language, expressed toward minorities (eg. ethnical, racial). The data were annotated manually. | null | null | 2 | 65 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- pl
license:
- cc-by-nc-sa-3.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- text-scoring
- multi-class-classification
- multi-label-classifica... |
anuragshas/ur_opus100_processed | 2022-01-30T16:03:56.000Z | [
"region:us"
] | anuragshas | null | null | null | 1 | 65 | Entry not found |
lavis-nlp/german_legal_sentences | 2022-10-20T18:34:19.000Z | [
"task_categories:text-retrieval",
"task_ids:semantic-similarity-scoring",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n>1M",
"source_datasets:original",
"language:de",
"license:unknown",
"arxiv:2005.13342",
"arxiv:2010.1025... | lavis-nlp | German Legal Sentences (GLS) is an automatically generated training dataset for semantic sentence
matching in the domain in german legal documents. It follows the concept of weak supervision, where
imperfect labels are generated using multiple heuristics. For this purpose we use a combination of
legal citation match... | coming soon | null | 3 | 65 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- de
license:
- unknown
multilinguality:
- monolingual
size_categories:
- n>1M
source_datasets:
- original
task_categories:
- text-retrieval
- text-scoring
task_ids:
- semantic-similarity-scoring
- text-retrieval-other-example-based-retr... |
embedding-data/simple-wiki | 2022-08-02T03:34:17.000Z | [
"task_categories:sentence-similarity",
"task_ids:semantic-similarity-classification",
"language:en",
"license:mit",
"region:us"
] | embedding-data | null | null | null | 5 | 65 | ---
license: mit
language:
- en
paperswithcode_id: embedding-data/simple-wiki
pretty_name: simple-wiki
task_categories:
- sentence-similarity
- paraphrase-mining
task_ids:
- semantic-similarity-classification
---
# Dataset Card for "simple-wiki"
## Table of Contents
- [Dataset Description](#dataset-description)
- ... |
lucadiliello/asnq | 2022-12-05T11:17:24.000Z | [
"region:us"
] | lucadiliello | null | null | null | 0 | 65 | ---
dataset_info:
features:
- name: label
dtype: int64
- name: question
dtype: string
- name: answer
dtype: string
- name: key
dtype: int64
splits:
- name: test
num_bytes: 87612019
num_examples: 466148
- name: dev
num_bytes: 87607015
num_examples: 463914
- name: train
... |
musabg/wikipedia-tr | 2023-05-16T20:32:53.000Z | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:tr",
"license:cc-by-sa-3.0",
"license:gfdl",
"wikipedia,... | musabg | null | null | null | 3 | 65 | ---
annotations_creators:
- no-annotation
language:
- tr
language_creators:
- crowdsourced
license:
- cc-by-sa-3.0
- gfdl
multilinguality: []
pretty_name: Turkish Wikipedia 2023
size_categories:
- 100K<n<1M
source_datasets:
- original
tags:
- wikipedia, wiki,
task_categories:
- fill-mask
- text-generation
task_ids:
- m... |
Dahoas/rl-prompt-dataset | 2023-03-17T14:08:30.000Z | [
"region:us"
] | Dahoas | null | null | null | 2 | 65 | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_bytes: 331075688.0
num_examples: 201417
- name: test
num_bytes: 7649255
num_examples: 5103
downl... |
dsfsi/vukuzenzele-sentence-aligned | 2023-09-27T07:24:49.000Z | [
"task_categories:sentence-similarity",
"task_categories:translation",
"language:eng",
"language:afr",
"language:nbl",
"language:xho",
"language:zul",
"language:sot",
"language:nso",
"language:tsn",
"language:ssw",
"language:ven",
"language:tso",
"license:cc-by-4.0",
"multilingual",
"go... | dsfsi | The dataset contains editions from the South African government magazine Vuk'uzenzele. Data was scraped from PDFs that have been placed in the data/raw folder. The PDFS were obtained from the Vuk'uzenzele website. | @dataset{marivate_vukosi_2023_7598540, author = {Marivate, Vukosi and Njini, Daniel and Madodonga, Andani and Lastrucci, Richard and Dzingirai, Isheanesu Rajab, Jenalea}, title = {The Vuk'uzenzele South African Multilingual Corpus}, month = feb, year = 2023, publisher = {Zenodo}, doi = {10.5281/zenodo.7598539}, url = {... | null | 0 | 65 | ---
language:
- eng
- afr
- nbl
- xho
- zul
- sot
- nso
- tsn
- ssw
- ven
- tso
pretty_name: "The Vuk'uzenzele South African Multilingual Corpus"
tags:
- multilingual
- government
license: "cc-by-4.0"
task_categories:
- sentence-similarity
- translation
arxiv: 2303.03750
---
# The Vuk'uzenzele South African Multiling... |
clane9/NSD-Flat | 2023-09-28T01:26:21.000Z | [
"task_categories:image-to-image",
"task_categories:object-detection",
"size_categories:100K<n<1M",
"license:other",
"biology",
"neuroscience",
"fmri",
"region:us"
] | clane9 | null | null | null | 3 | 65 | ---
license: other
dataset_info:
features:
- name: subject_id
dtype: int64
- name: trial_id
dtype: int64
- name: session_id
dtype: int64
- name: nsd_id
dtype: int64
- name: image
dtype: image
- name: activity
dtype: image
- name: subject
dtype: string
- name: flagged
dt... |
C-MTEB/LCQMC | 2023-07-28T13:51:45.000Z | [
"region:us"
] | C-MTEB | null | null | null | 2 | 65 | ---
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... |
ericyu/LEVIRCD_Cropped_256 | 2023-10-06T10:29:40.000Z | [
"region:us"
] | ericyu | null | null | null | 0 | 65 | ---
dataset_info:
features:
- name: imageA
dtype: image
- name: imageB
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 2005523229.68
num_examples: 7120
- name: validation
num_bytes: 244453421.184
num_examples: 1024
- name: test
num_bytes: 51886387... |
liyucheng/FrameNet_v17 | 2023-08-31T10:47:56.000Z | [
"license:cc-by-2.0",
"region:us"
] | liyucheng | null | null | null | 0 | 65 | ---
license: cc-by-2.0
---
|
warshakhan/donut_vqa_ISynHMP_all_labels_modified | 2023-09-28T08:29:22.000Z | [
"region:us"
] | warshakhan | null | null | null | 0 | 65 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: ground_truth
dtype: string
splits:
- name: train
num_bytes: 583333339.0... |
chrisgru/chat-v2.1 | 2023-09-28T12:54:24.000Z | [
"region:us"
] | chrisgru | null | null | null | 0 | 65 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 7344562
num_examples: 4386
download_size: 3196402
dataset_size: 7344562
---
# Dataset Card for "chat-v2.1"
[More Informat... |
cardiffnlp/tweet_topic_multilingual | 2023-10-10T13:46:23.000Z | [
"region:us"
] | cardiffnlp | [TweetTopicMultilingual](TBA) | TBA | null | 0 | 65 | |
lst20 | 2023-01-25T14:34:28.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:th",
"license:other",
"wo... | null | LST20 Corpus is a dataset for Thai language processing developed by National Electronics and Computer Technology Center (NECTEC), Thailand.
It offers five layers of linguistic annotation: word boundaries, POS tagging, named entities, clause boundaries, and sentence boundaries.
At a large scale, it consists of 3,164,002... | @article{boonkwan2020annotation,
title={The Annotation Guideline of LST20 Corpus},
author={Boonkwan, Prachya and Luantangsrisuk, Vorapon and Phaholphinyo, Sitthaa and Kriengket, Kanyanat and Leenoi, Dhanon and Phrombut, Charun and Boriboon, Monthika and Kosawat, Krit and Supnithi, Thepchai},
journal={arXiv prepri... | null | 2 | 64 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- th
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
- part-of-speech
pretty_name: LST20
tags:
- word-s... |
opus_openoffice | 2023-06-01T14:59:55.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:ja",
"language:ru",
"language:sv",
"langua... | null | A collection of documents from http://www.openoffice.org/. | @InProceedings{TIEDEMANN12.463,
author = {J�rg Tiedemann},
title = {Parallel Data, Tools and Interfaces in OPUS},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
year = {2012},
month = {may},
date = {23-25},
address = {Istanbul, Turkey},
ed... | null | 3 | 64 | ---
annotations_creators:
- found
language_creators:
- found
language:
- de
- en
- es
- fr
- ja
- ru
- sv
- zh
language_bcp47:
- en-GB
- zh-CN
license:
- unknown
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: null
... |
wiki_atomic_edits | 2023-06-01T14:59:54.000Z | [
"task_categories:summarization",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"size_categories:10M<n<100M",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:de",
"language:en",
"language:es",
"language:fr... | null | A dataset of atomic wikipedia edits containing insertions and deletions of a contiguous chunk of text in a sentence. This dataset contains ~43 million edits across 8 languages.
An atomic edit is defined as an edit e applied to a natural language expression S as the insertion, deletion, or substitution of a sub-express... | @InProceedings{WikiAtomicEdits,
title = {{WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse}},
author = {Faruqui, Manaal and Pavlick, Ellie and Tenney, Ian and Das, Dipanjan},
booktitle = {Proc. of EMNLP},
year = {2018}
} | null | 9 | 64 | ---
annotations_creators:
- found
language_creators:
- found
language:
- de
- en
- es
- fr
- it
- ja
- ru
- zh
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
- 10M<n<100M
- 1M<n<10M
source_datasets:
- original
task_categories:
- summarization
task_ids: []
paperswithcode_id: wikiato... |
SetFit/amazon_reviews_multi_de | 2022-03-23T15:34:53.000Z | [
"region:us"
] | SetFit | null | null | null | 0 | 64 | #amazon reviews multi german
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the German language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
orieg/elsevier-oa-cc-by | 2022-07-01T15:59:58.000Z | [
"task_categories:fill-mask",
"task_categories:summarization",
"task_categories:text-classification",
"task_ids:masked-language-modeling",
"task_ids:news-articles-summarization",
"task_ids:news-articles-headline-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",... | orieg | Elsevier OA CC-By is a corpus of 40k (40, 091) open access (OA) CC-BY articles
from across Elsevier’s journals and include the full text of the article, the metadata,
the bibliographic information for each reference, and author highlights. | @article{Kershaw2020ElsevierOC,
title = {Elsevier OA CC-By Corpus},
author = {Daniel James Kershaw and R. Koeling},
journal = {ArXiv},
year = {2020},
volume = {abs/2008.00774},
doi = {https://doi.org/10.48550/arXiv.2008.00774},
url = {https://elsevier.digitalcommonsdata.com/da... | null | 8 | 64 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Elsevier OA CC-By
paperswithcode_id: elsevier-oa-cc-by
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- fill-mask
- summarization... |
Moo/korean-parallel-corpora | 2022-07-01T15:32:54.000Z | [
"task_categories:translation",
"annotations_creators:other",
"language_creators:other",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ko",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | Moo | null | null | null | 5 | 64 | ---
annotations_creators:
- other
language_creators:
- other
language:
- ko
- en
license:
- cc-by-sa-3.0
multilinguality:
- multilingual
- translation
pretty_name: 'korean-parallel-corpora '
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
---
|
Theivaprakasham/wildreceipt | 2022-06-10T21:46:37.000Z | [
"license:apache-2.0",
"region:us"
] | Theivaprakasham | WildReceipt is a collection of receipts. It contains, for each photo, a list of OCRs - with the bounding box, text, and class. It contains 1765 photos, with 25 classes, and 50000 text boxes. The goal is to benchmark "key information extraction" - extracting key information from documents
https://arxiv.org/abs/2103.1447... | @article{Sun2021SpatialDG,
title={Spatial Dual-Modality Graph Reasoning for Key Information Extraction},
author={Hongbin Sun and Zhanghui Kuang and Xiaoyu Yue and Chenhao Lin and Wayne Zhang},
journal={ArXiv},
year={2021},
volume={abs/2103.14470}
} | null | 3 | 64 | ---
license: apache-2.0
---
|
irds/trec-robust04 | 2023-01-05T03:52:55.000Z | [
"task_categories:text-retrieval",
"region:us"
] | irds | null | null | null | 1 | 64 | ---
pretty_name: '`trec-robust04`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `trec-robust04`
The `trec-robust04` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-dataset... |
nthngdy/bert_dataset_202203 | 2023-01-17T10:10:06.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"language:en",
"license:apache-2.0",
"language-modeling",
"masked-language-modeling",
"region:us"
] | nthngdy | null | null | null | 0 | 64 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 24635440616
num_examples: 146707688
download_size: 14651841592
dataset_size: 24635440616
license: apache-2.0
task_categories:
- text-generation
- fill-mask
language:
- en
tags:
- language-modeling
- masked-la... |
fscheffczyk/20newsgroups_embeddings | 2023-02-05T17:59:34.000Z | [
"task_categories:feature-extraction",
"task_categories:sentence-similarity",
"task_categories:question-answering",
"multilinguality:monolingual",
"size_categories:unknown",
"language:en",
"news",
"20newsgroups",
"region:us"
] | fscheffczyk | null | null | null | 0 | 64 | ---
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: Feature vector embeddings of the 20newsgroup dataset
size_categories:
- unknown
source_datasets:
- 20newsgroups dataset: http://qwone.com/~jason/20Newsgroups/
tags:
- news
- 20newsgroups
task_catego... |
fscheffczyk/2D_20newsgroups_embeddings | 2023-02-05T18:57:29.000Z | [
"task_categories:feature-extraction",
"task_categories:sentence-similarity",
"task_categories:question-answering",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|fscheffczyk/20newsgroups_embeddings",
"language:en",
"news",
"20newsgroups",
"region:us"
] | fscheffczyk | null | null | null | 0 | 64 | ---
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: Dimensional reduced feature vector embeddings of the 20newsgroup dataset
size_categories:
- unknown
source_datasets:
- extended|fscheffczyk/20newsgroups_embeddings
tags:
- news
- 20newsgroups
task_c... |
alexandrainst/ddisco | 2023-02-08T18:12:26.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:da",
"license:afl-3.0",
"discourse",
"coherence",
"region:us"
] | alexandrainst | null | null | null | 1 | 64 | ---
annotations_creators:
- expert-generated
language:
- da
language_creators:
- expert-generated
license:
- afl-3.0
multilinguality:
- monolingual
pretty_name: DDisco
size_categories:
- 1K<n<10K
source_datasets: []
tags:
- discourse
- coherence
task_categories:
- text-classification
task_ids: []
dataset_info:
featur... |
hearmeneigh/e621-rising-v2-raw | 2023-05-15T03:26:11.000Z | [
"size_categories:1M<n<10M",
"furry",
"anthro",
"nsfw",
"e621",
"not-for-all-audiences",
"region:us"
] | hearmeneigh | null | null | null | 8 | 64 | ---
dataset_info:
features:
- name: id
dtype: string
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 1192520976398.634
num_examples: 2905671
download_size: 1172100381158
dataset_size: 1192520976398.634
pretty_name: 'E621 Rising: Raw Image Datase... |
AndyReas/frontpage-news | 2023-04-28T14:32:11.000Z | [
"task_categories:text-generation",
"size_categories:10M<n<100M",
"language:en",
"license:mit",
"region:us"
] | AndyReas | null | null | null | 2 | 64 | ---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 10M<n<100M
---
# Frontpage News
## The Data
The data consists of ~13,000,000 English articles from ~90 outlets. The articles were collected from the [Sciride News Mine](http://sciride.org/news.html), after which some additional clea... |
martinjosifoski/SynthIE | 2023-03-06T21:59:52.000Z | [
"language:en",
"license:mit",
"arxiv:2303.04132",
"region:us"
] | martinjosifoski | The paper ``Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction'' builds on the idea that even for hard tasks of interest (with input X and Y) -- for which human-annotation is not practical and high-quality annotated data is not available -- by reversing the task ... | @article{josifoski2023exploiting,
title={Exploiting Asymmetry for Synthetic Training Data Generation: {S}ynth{IE} and The Case of Information Extraction},
author={Josifoski, Martin and Sakota, Marija and Peyrard, Maxime and West, Robert},
journal={arXiv preprint arXiv:2303.04132},
year={2023}
} | null | 4 | 64 | ---
license: mit
language:
- en
pretty_name: SynthIE
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage and Repository:** https://github.com/epfl-dlab/SynthIE
- **Paper:** https://arxiv.org/abs/2303.04132
### Dataset Summary
[Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE... |
OpenBioML/chebi_20 | 2023-03-03T22:27:47.000Z | [
"region:us"
] | OpenBioML | null | null | null | 0 | 64 | Entry not found |
multimodalart/facesyntheticsspigacaptioned | 2023-03-23T14:56:28.000Z | [
"region:us"
] | multimodalart | null | null | null | 12 | 64 | ---
dataset_info:
features:
- name: image
dtype: image
- name: image_seg
dtype: image
- name: landmarks
dtype: string
- name: spiga
sequence:
sequence: float64
- name: spiga_seg
dtype: image
- name: image_caption
dtype: string
splits:
- name: train
num_bytes: 31087489... |
Abzu/CodeAlpacaPython | 2023-06-04T19:38:39.000Z | [
"task_categories:text-generation",
"language:en",
"license:cc",
"region:us"
] | Abzu | null | null | null | 3 | 64 | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
splits:
- name: train
num_bytes: 2570214.2624451965
num_examples: 8477
- name: test
num_bytes: 286526.48926610086
num_examples: 942
download_size: 1488032
dataset_size: 2856740.7517112973
lice... |
TigerResearch/sft_zh | 2023-06-09T12:21:42.000Z | [
"language:zh",
"license:apache-2.0",
"region:us"
] | TigerResearch | null | null | null | 22 | 64 | ---
license: apache-2.0
language:
- zh
---
[Tigerbot](https://github.com/TigerResearch/TigerBot) 开源项目中微调中文sft-zh数据合集
本合集涵盖本组织下开源的其他中文sft-中文-数据集，不需要重复下载
## Usage
```python
import datasets
ds_sft = datasets.load_dataset('TigerResearch/sft_zh')
```
## 文件细分
| 类型 | 语言 | 数据集文件 ... |
DISCOX/DISCO-200K-random | 2023-06-20T14:26:06.000Z | [
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-4.0",
"music",
"region:us"
] | DISCOX | null | null | null | 0 | 64 | ---
license: cc-by-4.0
dataset_info:
features:
- name: video_url_youtube
dtype: string
- name: video_title_youtube
dtype: string
- name: track_name_spotify
dtype: string
- name: preview_url_spotify
dtype: string
- name: track_id_spotify
dtype: string
- name: album_id_spotify
dtype:... |
KagglingFace/vit-cats-dogs | 2023-07-02T12:19:43.000Z | [
"license:mit",
"region:us"
] | KagglingFace | null | null | null | 1 | 64 | ---
license: mit
---
|
juanka0357/bitcoin-sentiment-analysis | 2023-07-10T17:00:33.000Z | [
"license:unknown",
"region:us"
] | juanka0357 | null | null | null | 1 | 64 | ---
license: unknown
---
|
C-MTEB/QBQTC | 2023-07-28T13:38:12.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 64 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: sentence1
dtype: string
- name: sentence2
dtype: string
- name: score
dtype: int64
splits:
- name: test
num_bytes: 524191
num_examples: 5000
download_size: 387552
d... |
GokhanAI/AGENT | 2023-08-01T13:25:10.000Z | [
"license:apache-2.0",
"region:us"
] | GokhanAI | null | null | null | 2 | 64 | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
... |
bigplane/liuyifei_lora | 2023-08-11T07:46:34.000Z | [
"license:openrail",
"region:us"
] | bigplane | null | null | null | 0 | 64 | ---
license: openrail
---
|
dim/wikihow_en | 2023-08-15T12:10:58.000Z | [
"license:mit",
"region:us"
] | dim | null | null | null | 0 | 64 | ---
license: mit
dataset_info:
features:
- name: INSTRUCTION
dtype: string
- name: RESPONSE
dtype: string
- name: SOURCE
dtype: string
- name: METADATA
dtype: string
splits:
- name: train
num_bytes: 17125965.190821543
num_examples: 1995
download_size: 8899392
dataset_size: 1712... |
dim/roleplay_instruct_v2_final | 2023-10-04T14:15:48.000Z | [
"region:us"
] | dim | null | null | null | 0 | 64 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 4382098
num_examples: 7188
download_size: 2880335
dataset_size: 4382098
configs:
- config_name: default
data_files:
- split: tra... |
M-A-D/Mixed-Arabic-Datasets-Repo | 2023-10-08T12:42:13.000Z | [
"task_categories:text-classification",
"task_categories:question-answering",
"task_categories:translation",
"task_categories:summarization",
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:text2text-generation",
"task_categories:fill-mask",
"size_categories:1B<n... | M-A-D | null | null | null | 10 | 64 | ---
language:
- ar
size_categories:
- 1B<n<10B
task_categories:
- text-classification
- question-answering
- translation
- summarization
- conversational
- text-generation
- text2text-generation
- fill-mask
pretty_name: Mixed Arabic Datasets (MAD) Corpus
dataset_info:
- config_name: Ara--Abdelaziz--MNAD.v1
features:
... |
asyafiqe/orca_mini_v1_indonesia | 2023-08-27T10:54:58.000Z | [
"license:apache-2.0",
"region:us"
] | asyafiqe | null | null | null | 0 | 64 | ---
license: apache-2.0
---
This is dataset is a modified version of psmathur's [orca_mini_v1](https://huggingface.co/datasets/psmathur/orca_mini_v1_dataset) dataset translated into Bahasa Indonesia by Google Translate. |
TinyPixel/lima-m2 | 2023-09-26T03:41:46.000Z | [
"region:us"
] | TinyPixel | null | null | null | 1 | 64 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 2957490
num_examples: 1030
download_size: 1697765
dataset_size: 2957490
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "lima-m2"
[More Informatio... |
thu-coai/SafetyBench | 2023-09-14T05:25:39.000Z | [
"license:mit",
"arxiv:2309.07045",
"region:us"
] | thu-coai | null | null | null | 0 | 64 | ---
license: mit
configs:
- config_name: test
data_files:
- split: zh
path: "test_zh.json"
- split: en
path: "test_en.json"
- split: zh_subset
path: "test_zh_subset.json"
- config_name: dev
data_files:
- split: zh
path: "dev_zh.json"
- split: en
path: "dev_en.json"
---
SafetyBench is ... |
Loie/Auto-ACD | 2023-09-20T12:53:29.000Z | [
"region:us"
] | Loie | null | null | null | 6 | 64 |
# Auto-ACD
Auto-ACD is a large-scale, high-quality, audio-language dataset, building on the prior of robust audio-visual correspondence in existing video datasets, VGGSound and AudioSet.
- **Homepage:** https://auto-acd.github.io/
- **Paper:**
- **Github:** https://github.com/LoieSun/Auto-ACD
## Analysis
![](src... |
Globaly/gbl-dataset | 2023-09-18T20:50:13.000Z | [
"region:us"
] | Globaly | null | null | null | 0 | 64 | Entry not found |
yejeekang/ko_legal_instruction | 2023-09-20T12:25:42.000Z | [
"license:afl-3.0",
"region:us"
] | yejeekang | null | null | null | 0 | 64 | ---
license: afl-3.0
---
|
OfekGlick/DiscoEval | 2023-10-03T21:26:08.000Z | [
"task_categories:text-classification",
"size_categories:100K<n<1M",
"language:en",
"license:bsd",
"Discourse",
"Discourse Evaluation",
"NLP",
"arxiv:1909.00142",
"region:us"
] | OfekGlick | This dataset contains all tasks of the DiscoEval benchmark for sentence representation learning. | @InProceedings{mchen-discoeval-19,
title = {Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations},
author = {Mingda Chen and Zewei Chu and Kevin Gimpel},
booktitle = {Proc. of {EMNLP}},
year={2019}
} | null | 0 | 64 | ---
license: bsd
task_categories:
- text-classification
language:
- en
tags:
- Discourse
- Discourse Evaluation
- NLP
pretty_name: DiscoEval
size_categories:
- 100K<n<1M
---
# DiscoEval Benchmark Datasets
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [D... |
imdatta0/orca_best_unwrapped | 2023-09-25T12:40:23.000Z | [
"region:us"
] | imdatta0 | null | null | null | 1 | 64 | Entry not found |
tyzhu/squad_rare_v4_train_10_eval_10 | 2023-09-28T15:08:13.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 64 | ---
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
... |
fiveflow/psychology-dataset-v2 | 2023-10-10T05:03:48.000Z | [
"region:us"
] | fiveflow | null | null | null | 0 | 64 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 716480
num_examples: 996
download_size: 189768
dataset_size: 716480
---
# Dataset Card for "psychology-dataset-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#... |
europa_eac_tm | 2023-01-25T14:30:11.000Z | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:bg",
"language:cs",
"language:da",
"language:de",
"language:el",
"language:en",
"lang... | null | In October 2012, the European Union's (EU) Directorate General for Education and Culture ( DG EAC) released a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in twenty-six languages. This resource bears the name EAC Translation Memory, short EAC-TM.
EAC-TM covers... | @Article{Steinberger2014,
author={Steinberger, Ralf
and Ebrahim, Mohamed
and Poulis, Alexandros
and Carrasco-Benitez, Manuel
and Schl{\"u}ter, Patrick
and Przybyszewski, Marek
and Gilbro, Signe},
title={An ov... | null | 2 | 63 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- hr
- hu
- is
- it
- lt
- lv
- mt
- nl
- 'no'
- pl
- pt
- ro
- sk
- sl
- sv
- tr
license:
- cc-by-4.0
multilinguality:
- translation
size_categories:
- 1K<n<10K
source_datasets... |
SetFit/amazon_reviews_multi_es | 2022-03-23T15:43:09.000Z | [
"region:us"
] | SetFit | null | null | null | 0 | 63 | #amazon reviews multi spanish
This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Spanish language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task. |
hackathon-pln-es/MESD | 2022-03-25T18:15:07.000Z | [
"license:cc-by-4.0",
"region:us"
] | hackathon-pln-es | null | null | null | 6 | 63 | ---
license: cc-by-4.0
Duville, Mathilde Marie; Alonso-Valerdi, Luz Maria; Ibarra, David (2022), “Mexican Emotional Speech Database (MESD)”, Mendeley Data, V5, doi: 10.17632/cy34mh68j9.5
---
# Dataset Card for MESD
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#... |
TomTBT/pmc_open_access_xml | 2023-09-17T08:43:36.000Z | [
"task_categories:text-classification",
"task_categories:summarization",
"task_categories:other",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc0-1.0",
"l... | TomTBT | 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 available... | null | null | 0 | 63 | ---
pretty_name: XML-parsed PMC
task_categories:
- text-classification
- summarization
- other
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- en
size_categories:
- 1M<n<10M
source_datasets:
- original
license:
- cc0-1.0
- cc-by-4.0
- cc-by-sa-4.0
- cc-by-nc-4.0
- cc-by-nd-4.0
- ... |
koudeheld/beatles_lyrics | 2022-06-02T13:12:13.000Z | [
"region:us"
] | koudeheld | null | null | null | 0 | 63 | Entry not found |
ScandEval/scala-nb | 2023-07-05T09:49:50.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:nb",
"language:no",
"license:cc-by-sa-4.0",
"region:us"
] | ScandEval | null | null | null | 0 | 63 | ---
license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- nb
- 'no'
size_categories:
- 1K<n<10K
--- |
ratishsp/newshead | 2022-10-14T07:42:08.000Z | [
"license:mit",
"region:us"
] | ratishsp | null | null | null | 0 | 63 | ---
license: mit
---
|
qanastek/HoC | 2022-11-01T15:03:11.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:machine-generated",
"annotations_creators:expert-generated",
"language_creators:found",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"region:us"
] | qanastek | The Hallmarks of Cancer Corpus for text classification
The Hallmarks of Cancer (HOC) Corpus consists of 1852 PubMed
publication abstracts manually annotated by experts according
to a taxonomy. The taxonomy consists of 37 classes in a
hierarchy. Zero or more class labels are assigned to each
sentence in the corpus. The... | @article{baker2015automatic,
title={Automatic semantic classification of scientific literature according to the hallmarks of cancer},
author={Baker, Simon and Silins, Ilona and Guo, Yufan and Ali, Imran and H{\"o}gberg, Johan and Stenius, Ulla and Korhonen, Anna},
journal={Bioinformatics},
volume={32},
number... | null | 1 | 63 | ---
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
language:
- en
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
pretty_name: HoC
language_bcp47:
- en-US
---
# HoC : Hallmarks of Cancer Corpu... |
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