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 |
|---|---|---|---|---|---|---|---|---|---|
corypaik/prost | 2022-10-25T09:07:34.000Z | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"task_ids:open-domain-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en-US",
"license:apache-... | corypaik | *Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: ... | @inproceedings{aroca-ouellette-etal-2021-prost,
title = "{PROST}: {P}hysical Reasoning about Objects through Space and Time",
author = "Aroca-Ouellette, St{\'e}phane and
Paik, Cory and
Roncone, Alessandro and
Kann, Katharina",
booktitle = "Findings of the Association for Computational Linguistics: ... | null | 1 | 204 | ---
annotations_creators:
- expert-generated
extended:
- original
language_creators:
- expert-generated
language:
- en-US
license:
- apache-2.0
multilinguality:
- monolingual
paperswithcode_id: prost
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- multiple-cho... |
kiddothe2b/contract-nli | 2022-07-27T13:07:52.000Z | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | kiddothe2b | ContractNLI: A Benchmark Dataset for ContractNLI in English | @inproceedings{koreeda-manning-2021-contractnli-dataset,
title = "{C}ontract{NLI}: A Dataset for Document-level Natural Language Inference for Contracts",
author = "Koreeda, Yuta and
Manning, Christopher",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
month... | null | 1 | 204 | ---
license: cc-by-nc-sa-4.0
---
|
llm-blender/mix-instruct | 2023-06-09T02:21:01.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | llm-blender | null | null | null | 9 | 204 | ---
license: mit
task_categories:
- text-generation
language:
- en
pretty_name: mix-instruct
size_categories:
- 100K<n<1M
---
# MixInstruct
## Introduction
This is the official realease of dataset **MixInstruct** for project **LLM-Blender**.
This dataset contains 11 responses from the current popular instruction foll... |
vencortex/DeOSAgentDocuments | 2023-07-25T14:20:30.000Z | [
"region:us"
] | vencortex | null | null | null | 0 | 204 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: company_id
dtype: string
- name: context_id
dtype: string
- name: source
dtype: string
- name: date
dtype: string
- name: text
dtype: string
- name: embeddings
... |
Multimodal-Fatima/FGVC_Aircraft_test | 2023-06-02T02:15:19.000Z | [
"region:us"
] | Multimodal-Fatima | null | null | null | 0 | 203 | ---
dataset_info:
features:
- name: image
dtype: image
- name: family
dtype:
class_label:
names:
'0': A300
'1': A310
'2': A320
'3': A330
'4': A340
'5': A380
'6': ATR-42
'7': ATR-72
'8': An-12
... |
pcuenq/lsun-bedrooms | 2023-03-04T06:38:23.000Z | [
"license:mit",
"region:us"
] | pcuenq | null | null | null | 2 | 203 | ---
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 4450242498.020249
num_examples: 287968
- name: test
num_bytes: 234247797.33875093
num_examples: 15157
download_size: 4756942293
dataset_size: 4684490295.359
license: mit
---
# Dataset Card for "lsu... |
tianyang/repobench-c | 2023-06-24T01:37:41.000Z | [
"task_categories:text-generation",
"task_ids:document-retrieval",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"license:cc-by-nc-nd-4.0",
"code",
"arxiv:2306.03091",
"region:us"
] | tianyang | RepoBench is a dataset that benchmarks repository-level code auto-completion systems.
RepoBench-C denotes RepoBench for code completion,
which is subtask of RepoBench for next-line code prediction given both cross-file and in-file context. | @misc{liu2023repobench,
title={RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems},
author={Tianyang Liu and Canwen Xu and Julian McAuley},
year={2023},
eprint={2306.03091},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | null | 3 | 203 | ---
language_creators:
- found
license:
- cc-by-nc-nd-4.0
multilinguality:
- multilingual
pretty_name: RepoBench-Completion
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- document-retrieval
tags:
- code
size_categories:
- 100K<n<1M
---
# Dataset Card for RepoBench-C
## Dataset Description
... |
result-kand2-sdxl-wuerst-karlo/7a9ac406 | 2023-10-02T04:31:29.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 203 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 162
num_examples: 10
download_size: 1319
dataset_size: 162
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "7a9ac40... |
mocha | 2022-11-18T21:29:45.000Z | [
"task_categories:question-answering",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"generative-reading-comprehension-metric",
"region:us"
] | null | Posing reading comprehension as a generation problem provides a great deal of flexibility, allowing for open-ended questions with few restrictions on possible answers. However, progress is impeded by existing generation metrics, which rely on token overlap and are agnostic to the nuances of reading comprehension. To ad... | @inproceedings{Chen2020MOCHAAD,
author={Anthony Chen and Gabriel Stanovsky and Sameer Singh and Matt Gardner},
title={MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics},
booktitle={EMNLP},
year={2020}
} | null | 1 | 202 | ---
pretty_name: MOCHA
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: mocha
tags:
- generative-reading-co... |
Zaid/coqa_expanded | 2021-10-04T18:48:15.000Z | [
"region:us"
] | Zaid | \\nCoQA: A Conversational Question Answering Challenge | \\n@InProceedings{SivaAndAl:Coca,
author = {Siva, Reddy and Danqi, Chen and Christopher D., Manning},
title = {WikiQA: A Challenge Dataset for Open-Domain Question Answering},
journal = { arXiv},
year = {2018},
} | null | 2 | 202 | Entry not found |
yangdong/ecqa | 2022-03-16T14:14:41.000Z | [
"region:us"
] | yangdong | null | null | null | 0 | 202 | Entry not found |
smangrul/amazon_esci | 2023-06-28T09:38:19.000Z | [
"license:apache-2.0",
"region:us"
] | smangrul | null | null | null | 2 | 202 | ---
license: apache-2.0
---
|
nisaar/Articles_Constitution_3300_Instruction_Set | 2023-07-18T07:25:46.000Z | [
"license:apache-2.0",
"region:us"
] | nisaar | null | null | null | 1 | 202 | ---
license: apache-2.0
---
**Dataset Card for Indian Constitutional Law Instruction-Response Dataset**
---
**Dataset Summary**
The dataset contains instruction-input-output pairs on Indian Constitutional Law, specifically addressing Articles 12, 14, 19, 21, and 15. It's designed to assist AI models, researchers, ... |
llama2d/llama2d-zoo-compass | 2023-10-06T00:26:19.000Z | [
"region:us"
] | llama2d | null | null | null | 0 | 202 | ---
dataset_info:
features:
- name: input_ids
sequence: float32
- name: coords
sequence:
sequence: float32
- name: labels
sequence: float32
- name: attention_mask
sequence: float32
splits:
- name: train
num_bytes: 24160000
num_examples: 10000
download_size: 0
dataset_size... |
roszcz/pianofor-ai-masked-v3 | 2023-10-03T06:40:30.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 202 | ---
dataset_info:
features:
- name: pitch
sequence: int8
length: 90
- name: start
sequence: float64
length: 90
- name: dstart
sequence: float64
length: 90
- name: end
sequence: float64
length: 90
- name: duration
sequence: float64
length: 90
- name: velocity
seq... |
OGB/ogbg-molhiv | 2023-02-07T16:39:46.000Z | [
"task_categories:graph-ml",
"license:mit",
"region:us"
] | OGB | null | null | null | 2 | 201 | ---
license: mit
task_categories:
- graph-ml
---
# Dataset Card for ogbg-molhiv
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [External Use... |
lintang/numerical_reasoning_arithmetic | 2023-01-09T06:33:43.000Z | [
"region:us"
] | lintang | Generated dataset for testing numerical reasoning | \ | null | 0 | 201 | # Numerical Reasoning
|
shibing624/sts-sohu2021 | 2023-06-19T09:02:29.000Z | [
"task_categories:text-classification",
"task_categories:sentence-similarity",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring",
"annotations_creators:shibing624",
"language_creators:shibing624",
"multilinguality:zh",
"size_categories:100K<n<20M",... | shibing624 | 2021搜狐校园文本匹配算法大赛数据集 | https://github.com/shibing624/text2vec | null | 5 | 201 | ---
annotations_creators:
- shibing624
language_creators:
- shibing624
language:
- zh
license:
- cc-by-4.0
multilinguality:
- zh
size_categories:
- 100K<n<20M
source_datasets:
- https://www.biendata.xyz/competition/sohu_2021/data/
task_categories:
- text-classification
- sentence-similarity
task_ids:
- natural-language... |
ZahrizhalAli/mental_health_conversational_dataset | 2023-08-25T04:02:08.000Z | [
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:mit",
"medical",
"region:us"
] | ZahrizhalAli | null | null | null | 2 | 201 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_examples: 175
license: mit
task_categories:
- text-generation
- conversational
language:
- en
tags:
- medical
pretty_name: Mental Health Chatbot Dataset
size_categories:
- n<1K
---
# CREDIT: Dataset Card for "heliosbrahma... |
nlpaueb/finer-139 | 2022-10-23T05:05:03.000Z | [
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2203.06482",
"region:us"
] | nlpaueb | FiNER-139 is a named entity recognition dataset consisting of 10K annual
and quarterly English reports (filings) of publicly traded companies
downloaded from the U.S. Securities and Exchange Commission (SEC)
annotated with 139 XBRL tags in the IOB2 format. | @inproceedings{loukas-etal-2022-finer,
title = "{FiNER: Financial Numeric Entity Recognition for XBRL Tagging}",
author = "Loukas, Lefteris and
Fergadiotis, Manos and
Chalkidis, Ilias and
Spyropoulou, Eirini and
Malakasiotis, Prodromos and
Androutsopoulos, Ion and
Palioura... | null | 12 | 200 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: FiNER-139
size_categories:
- 1M<n<10M
source_datasets: []
task_categories:
- structure-prediction
- named-entity-recognition
- entity-extraction
task_ids:... |
pospos12/core50 | 2023-05-07T05:36:50.000Z | [
"region:us"
] | pospos12 | null | null | null | 0 | 200 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': o1
'1': o10
'2': o11
'3': o12
'4': o13
'5': o14
'6': o15
'7': o16
'8': o17
'9': o18
... |
BuffetFS/BUFFET | 2023-08-13T06:26:30.000Z | [
"license:mit",
"region:us"
] | BuffetFS | null | null | null | 4 | 200 | ---
license: mit
---
# BUFFET: Benchmarking Large Language Models for Cross-lingual Few-shot Transfer
- Project page: [buffetfs.github.io/](https://buffetfs.github.io/) ([Paper](https://buffetfs.github.io/static/files/buffet_paper.pdf))
# Dataset Card for BEIR Benchmark
## Table of Contents
- [Dataset Description]... |
FredZhang7/toxi-text-3M | 2023-07-20T21:33:29.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:zero-shot-classification",
"size_categories:1M<n<10M",
"language:ar",
"language:es",
"language:pa",
"language:th",
"language:et",
"language:fr",
"language:fi",
"language:hu",
"language:lt",
"lan... | FredZhang7 | null | null | null | 5 | 200 | ---
license: apache-2.0
task_categories:
- text-classification
- token-classification
- zero-shot-classification
size_categories:
- 1M<n<10M
language:
- ar
- es
- pa
- th
- et
- fr
- fi
- hu
- lt
- ur
- so
- pl
- el
- mr
- sk
- gu
- he
- af
- te
- ro
- lv
- sv
- ne
- kn
- it
- mk
- cs
- en
- de
- da
- ta
- bn
- pt
- sq... |
tner/conll2003 | 2022-07-18T00:43:28.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"region:us"
] | tner | [CoNLL 2003 NER dataset](https://aclanthology.org/W03-0419/) | @inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
author = "Tjong Kim Sang, Erik F. and De Meulder, Fien",
booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {H... | null | 1 | 199 | ---
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: CoNLL-2003
---
# Dataset Card for "tner/conll2003"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tn... |
ziq/RSNA-ATD2023 | 2023-08-31T14:31:16.000Z | [
"task_categories:image-segmentation",
"task_ids:semantic-segmentation",
"annotations_creators:other",
"language_creators:found",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other",
"language:en",
"license:mit",
"reg... | ziq | The dataset is the processed version of Kaggle Competition: RSNA 2023 Abdominal Trauma Detection.
It comprises of segmentation of 205 series of CT scans with 5 classes (liver, spleen, right_kidney,
left_kidney, bowel). | @InProceedings{huggingface:dataset,
title = {RSNA-ATD2023},
author = {Yeow Zi Qin},
year = {2023}
} | null | 0 | 199 | ---
annotations_creators:
- other
language:
- en
language_creators:
- found
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: RSNA-ATD2023
size_categories:
- 10K<n<100K
source_datasets:
- extended|other
tags: []
task_categories:
- image-segmentation
task_ids:
- semantic-segmentation
---
# �... |
Sentdex/wsb_reddit_v002 | 2023-08-26T17:44:09.000Z | [
"license:apache-2.0",
"region:us"
] | Sentdex | null | null | null | 3 | 199 | ---
license: apache-2.0
---
|
tweet_qa | 2022-11-18T21:57:35.000Z | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:1907.06292",
"region:us"
... | null | TweetQA is the first dataset for QA on social media data by leveraging news media and crowdsourcing. | @inproceedings{xiong2019tweetqa,
title={TweetQA: A Social Media Focused Question Answering Dataset},
author={Xiong, Wenhan and Wu, Jiawei and Wang, Hong and Kulkarni, Vivek and Yu, Mo and Guo, Xiaoxiao and Chang, Shiyu and Wang, William Yang},
booktitle={Proceedings of the 57th Annual Meeting of the Association f... | null | 3 | 198 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
paperswithcode_id: tweetqa
pretty_name: TweetQA
data... |
SajjadAyoubi/persian_qa | 2021-04-29T06:11:18.000Z | [
"region:us"
] | SajjadAyoubi | \\\\\\\Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia.
The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in the passage (the context) from which the ques... | \@misc{PersianQA,
author = {Sajjad Ayoubi, Mohammad Yasin Davoodeh},
title = {PersianQA: a dataset for Persian Question Answering},
year = 2021,
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {url{https://github.com/SajjjadAyobi/PersianQA}... | null | 4 | 198 | # PersianQA: a dataset for Persian Question Answering
Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia. The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in... |
LawalAfeez/science-dataset | 2022-08-17T11:38:40.000Z | [
"region:us"
] | LawalAfeez | null | null | null | 3 | 198 | Entry not found |
detection-datasets/fashionpedia | 2022-09-22T13:22:02.000Z | [
"task_categories:object-detection",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"object-detection",
"fashion",
"computer-vision",
"arxiv:2004.12276",
"region:us"
] | detection-datasets | null | null | null | 24 | 198 | ---
pretty_name: Fashionpedia
task_categories:
- object-detection
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- object-detection
- fashion
- computer-vision
paperswithcode_id: fashionpedia
---
# Dataset Card for Fashionpedia
## Tab... |
mxeval/mbxp | 2023-07-03T18:10:10.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"mxeval",
"mbxp",
"mbpp",
"code-generation",
"arxiv:2210.14868",
"region:us"
] | mxeval | A collection of execution-based multi-lingual benchmark for code generation. | @article{mbxp_athiwaratkun2022,
title = {Multi-lingual Evaluation of Code Generation Models},
author = {Athiwaratkun, Ben and
Gouda, Sanjay Krishna and
Wang, Zijian and
Li, Xiaopeng and
Tian, Yuchen and
Tan, Ming
and Ahmad, Wasi Uddin and
Wang, Shiqi and
Sun, Qing and
Shang, Mingyue and
... | null | 5 | 198 | ---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- mxeval
- mbxp
- mbpp
- code-generation
- mxeval
pretty_name: mbxp
size_categories:
- 10K<n<100K
---
# MBXP
## Table of Contents
- [MBXP](#MBXP)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
... |
allenai/peS2o | 2023-07-18T20:01:34.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"size_categories:10B<n<100B",
"source_datasets:allenai/s2orc",
"language:en",
"license:odc-by",
"biology",
"chemistry",
"engineering",
"computer science",
"physics",
"material science",
"math",
"psychology",
"economics",
"... | allenai | null | @techreport{peS2o,
author = {Luca Soldaini and Kyle Lo},
year = 2023,
title = {{peS2o (Pretraining Efficiently on S2ORC) Dataset}},
institution = {{Allen Institute for AI}},
note = {ODC-By, \\url{https://github.com/allenai/pes2o}}
} | null | 87 | 198 | ---
license:
- odc-by
task_categories:
- text-generation
- fill-mask
language:
- en
tags:
- biology
- chemistry
- engineering
- computer science
- physics
- material science
- math
- psychology
- economics
- political science
- business
- geology
- sociology
- geography
- environmental science
- art
- history
- philoso... |
composite/pauq | 2023-08-18T08:00:20.000Z | [
"task_categories:translation",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"language:ru",
"license:cc-by-4.0",
"text-to-sql",
"region:us"
] | composite | Pauq is a first Russian text-to-SQL dataset translated from original Spider dataset
with corrections and refinements of question, queries and databases. | @inproceedings{bakshandaeva-etal-2022-pauq,
title = "{PAUQ}: Text-to-{SQL} in {R}ussian",
author = "Bakshandaeva, Daria and
Somov, Oleg and
Dmitrieva, Ekaterina and
Davydova, Vera and
Tutubalina, Elena",
booktitle = "Findings of the Association for Computational Linguistics: EMNL... | null | 0 | 198 | ---
dataset_info:
- config_name: ru_pauq_tl
features:
- name: id
dtype: string
- name: db_id
dtype: string
- name: source
dtype: string
- name: type
dtype: string
- name: question
dtype: string
- name: query
dtype: string
- name: sql
sequence: string
- name: question_toks
... |
jxm/llama-7b__model__one_million_instructions__reconstructions_sample | 2023-09-29T02:24:04.000Z | [
"region:us"
] | jxm | null | null | null | 0 | 198 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
- name: length
dtype: int64
- name: embedder_input_ids
sequence: int64
- name: embedder_attention_mask
sequence: int64
- name: frozen_embeddings
... |
result-kand2-sdxl-wuerst-karlo/a9adf6d9 | 2023-10-02T09:28:03.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 198 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 182
num_examples: 10
download_size: 1395
dataset_size: 182
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "a9adf6d... |
Artificio/WikiArt | 2023-01-18T17:13:54.000Z | [
"region:us"
] | Artificio | null | null | null | 4 | 197 | ---
dataset_info:
features:
- name: title
dtype: string
- name: artist
dtype: string
- name: date
dtype: string
- name: genre
dtype: string
- name: style
dtype: string
- name: description
dtype: string
- name: filename
dtype: string
- name: image
dtype: image
- name: ... |
bigbio/chemprot | 2022-12-22T15:44:22.000Z | [
"multilinguality:monolingual",
"language:en",
"license:other",
"region:us"
] | bigbio | The BioCreative VI Chemical-Protein interaction dataset identifies entities of
chemicals and proteins and their likely relation to one other. Compounds are
generally agonists (activators) or antagonists (inhibitors) of proteins. | @article{DBLP:journals/biodb/LiSJSWLDMWL16,
author = {Krallinger, M., Rabal, O., Lourenço, A.},
title = {Overview of the BioCreative VI chemical-protein interaction Track},
journal = {Proceedings of the BioCreative VI Workshop,},
volume = {141-146},
year = {2017},
url = {https://biocr... | null | 1 | 197 |
---
language:
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: PUBLIC_DOMAIN_MARK_1p0
pretty_name: ChemProt
homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vi/track-5/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- RELATION_EXTRAC... |
ivelin/ui_refexp_saved | 2023-01-08T03:35:06.000Z | [
"task_categories:image-to-text",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"region:us"
] | ivelin | null | null | null | 6 | 197 | ---
dataset_info:
features:
- name: image
dtype: image
- name: image_id
dtype: string
- name: image_file_path
dtype: string
- name: prompt
dtype: string
- name: target_bounding_box
dtype: string
splits:
- name: train
num_bytes: 1910805137.216
num_examples: 15624
- name: val... |
jamescalam/lex-transcripts | 2023-04-06T07:49:58.000Z | [
"region:us"
] | jamescalam | null | null | null | 7 | 197 | Entry not found |
mstz/seeds | 2023-04-16T17:58:19.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"seeds",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_seeds_236,
author = {Charytanowicz,Magorzata, Niewczas,Jerzy, Kulczycki,Piotr, Kowalski,Piotr & Lukasik,Szymon},
title = {{seeds}},
year = {2012},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5H30K}}
} | null | 0 | 197 | ---
language:
- en
tags:
- seeds
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Page Blocks
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- seeds
- seeds_binary
license: cc
---
# Post Operative
The [Seeds dataset](https://archive-beta.ics... |
juletxara/mgsm_mt | 2023-07-21T10:18:37.000Z | [
"task_categories:text2text-generation",
"annotations_creators:found",
"language_creators:found",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|gsm8k",
"language:en",
"license:cc-by-sa-4.0",
"math-word-problems",
"arxiv:... | juletxara | Multilingual Grade School Math Benchmark (MGSM) is a benchmark of grade-school math problems, proposed in the paper [Language models are multilingual chain-of-thought reasoners](http://arxiv.org/abs/2210.03057).
The same 250 problems from [GSM8K](https://arxiv.org/abs/2110.14168) are each translated via human annotato... | @article{cobbe2021gsm8k,
title={Training Verifiers to Solve Math Word Problems},
author={Cobbe, Karl and Kosaraju, Vineet and Bavarian, Mohammad and Chen, Mark and Jun, Heewoo and Kaiser, Lukasz and Plappert, Matthias and Tworek, Jerry and Hilton, Jacob and Nakano, Reiichiro and Hesse, Christopher and Schulman,... | null | 0 | 197 | ---
annotations_creators:
- found
language_creators:
- found
- expert-generated
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- extended|gsm8k
task_categories:
- text2text-generation
task_ids: []
paperswithcode_id: multi-task-language-understanding-on... |
OllieStanley/oa_dolly_15k | 2023-05-02T14:27:18.000Z | [
"region:us"
] | OllieStanley | null | null | null | 2 | 196 | ---
dataset_info:
features:
- name: INSTRUCTION
dtype: string
- name: RESPONSE
dtype: string
- name: SOURCE
dtype: string
- name: METADATA
struct:
- name: CATEGORY
dtype: string
- name: CONTEXT
dtype: string
splits:
- name: train
num_bytes: 12686692
num_examples... |
juletxara/xstory_cloze_mt | 2023-07-21T10:23:00.000Z | [
"task_categories:other",
"annotations_creators:found",
"language_creators:found",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|story_cloze",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2112.10668",
"region:us"
] | juletxara | XStoryCloze consists of the professionally translated version of the [English StoryCloze dataset](https://cs.rochester.edu/nlp/rocstories/) (Spring 2016 version) to 10 non-English languages. This dataset is released by Meta AI. | @article{DBLP:journals/corr/abs-2112-10668,
author = {Xi Victoria Lin and
Todor Mihaylov and
Mikel Artetxe and
Tianlu Wang and
Shuohui Chen and
Daniel Simig and
Myle Ott and
Naman Goyal and
Shrut... | null | 0 | 196 | ---
annotations_creators:
- found
language:
- en
language_creators:
- found
- expert-generated
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: null
pretty_name: XStoryCloze
size_categories:
- 1K<n<10K
source_datasets:
- extended|story_cloze
tags: []
task_categories:
- other
task_ids: []
datase... |
PaDaS-Lab/SynStOp | 2023-06-29T10:00:34.000Z | [
"region:us"
] | PaDaS-Lab | Minimal dataset for intended for LM development and testing using python string operations.
The dataset is created by running different one line python string operations on random strings
The idea is, that transformer implementation can learn the string operations and that this task is a good
proxy tasks for other t... | @InProceedings{huggingface:dataset,
title = {String Operations Dataset: A small set of string manipulation tasks for fast model development},
author={Michael Granitzer},
year={2023}
} | null | 0 | 196 | Entry not found |
shunk031/MSCOCO | 2023-09-09T08:16:13.000Z | [
"region:us"
] | shunk031 | null | 0 | 196 | # Dataset Card for MSCOCO
[](https://github.com/shunk031/huggingface-datasets_MSCOCO/actions/workflows/ci.yaml)
| ||
sordonia/wiki_mmlu_from_valid_all | 2023-09-13T18:25:50.000Z | [
"region:us"
] | sordonia | null | null | null | 0 | 196 | ---
dataset_info:
features:
- name: subject
dtype: string
- name: docno
dtype: int64
- name: score
dtype: float64
- name: dfq
dtype: int64
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train... |
open-phi/textbooks | 2023-10-08T05:07:09.000Z | [
"region:us"
] | open-phi | null | null | null | 44 | 196 | ---
dataset_info:
features:
- name: topic
dtype: string
- name: model
dtype: string
- name: concepts
dtype: string
- name: outline
dtype: string
- name: markdown
dtype: string
- name: field
dtype: string
- name: subfield
dtype: string
- name: rag
dtype: string
splits:... |
gutenberg_time | 2022-11-03T16:32:34.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:unknown",
"arxiv:2011.04124",
"region:us"
... | null | A clean data resource containing all explicit time references in a dataset of 52,183 novels whose full text is available via Project Gutenberg. | @misc{kim2020time,
title={What time is it? Temporal Analysis of Novels},
author={Allen Kim and Charuta Pethe and Steven Skiena},
year={2020},
eprint={2011.04124},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | null | 3 | 195 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
paperswithcode_id: gutenberg-time-dataset
pretty_nam... |
told-br | 2023-01-25T14:54:23.000Z | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pt",
"license:cc-by-sa-4.0",
"hate-speech-detection",
"arxiv:2010.04543",
"region:us"
] | null | ToLD-Br is the biggest dataset for toxic tweets in Brazilian Portuguese, crowdsourced
by 42 annotators selected from a pool of 129 volunteers. Annotators were selected aiming
to create a plural group in terms of demographics (ethnicity, sexual orientation, age, gender).
Each tweet was labeled by three annotators in 6 p... | @article{DBLP:journals/corr/abs-2010-04543,
author = {Joao Augusto Leite and
Diego F. Silva and
Kalina Bontcheva and
Carolina Scarton},
title = {Toxic Language Detection in Social Media for Brazilian Portuguese:
New Dataset and Multilingual Analysis... | null | 4 | 195 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- pt
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
paperswithcode_id: told-br
pretty_name: ToLD-Br
language_bcp47:
-... |
mrm8488/ImageNet1K-val | 2022-04-27T19:16:51.000Z | [
"region:us"
] | mrm8488 | null | null | null | 0 | 195 | mapping:
```
n01440764 tench, Tinca tinca
n01443537 goldfish, Carassius auratus
n01484850 great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
n01491361 tiger shark, Galeocerdo cuvieri
n01494475 hammerhead, hammerhead shark
n01496331 electric ray, crampfish, numbfish, torpedo
n01498041 st... |
bigscience-data/roots_vi_binhvq_news_corpus | 2022-12-12T11:17:08.000Z | [
"language:vi",
"license:apache-2.0",
"region:us"
] | bigscience-data | null | null | null | 1 | 195 | ---
language: vi
license: apache-2.0
extra_gated_prompt: 'By accessing this dataset, you agree to abide by the BigScience
Ethical Charter. The charter can be found at:
https://hf.co/spaces/bigscience/ethical-charter'
extra_gated_fields:
I have read and agree to abide by the BigScience Ethical Charter: checkbox
-... |
bluesky333/chemical_language_understanding_benchmark | 2023-07-09T10:36:44.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"chemistry",
"region:us"
] | bluesky333 | null | null | null | 1 | 195 | ---
license: cc-by-4.0
task_categories:
- text-classification
- token-classification
language:
- en
tags:
- chemistry
pretty_name: CLUB
size_categories:
- 10K<n<100K
---
## Table of Contents
- [Benchmark Summary](#benchmark-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#... |
ASSERT-KTH/megadiff-single-function | 2023-09-12T10:08:06.000Z | [
"size_categories:10K<n<100K",
"language:code",
"arxiv:2108.04631",
"region:us"
] | ASSERT-KTH | null | null | null | 0 | 195 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: diff
dtype: string
- name: is_single_chunk
dtype: bool
- name: is_single_function
dtype: bool
- name: buggy_function
dtype: string
- name: fixed_function
dtype: strin... |
result-kand2-sdxl-wuerst-karlo/7162bca1 | 2023-10-02T12:26:33.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 195 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 227
num_examples: 10
download_size: 1422
dataset_size: 227
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "7162bca... |
result-kand2-sdxl-wuerst-karlo/8c351c30 | 2023-10-02T12:29:34.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 195 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 180
num_examples: 10
download_size: 1362
dataset_size: 180
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "8c351c3... |
result-kand2-sdxl-wuerst-karlo/38127251 | 2023-10-02T12:34:44.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 195 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 193
num_examples: 10
download_size: 1396
dataset_size: 193
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "3812725... |
result-kand2-sdxl-wuerst-karlo/cb0120f1 | 2023-10-02T12:45:34.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 195 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 232
num_examples: 10
download_size: 1452
dataset_size: 232
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "cb0120f... |
Francesco/farcry6-videogame | 2023-03-30T09:37:41.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | null | 0 | 194 | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
lengt... |
result-kand2-sdxl-wuerst-karlo/7fa2043a | 2023-10-02T13:22:28.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 194 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 194
num_examples: 10
download_size: 1397
dataset_size: 194
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "7fa2043... |
result-kand2-sdxl-wuerst-karlo/6c022ac8 | 2023-10-02T13:25:18.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 194 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 219
num_examples: 10
download_size: 1364
dataset_size: 219
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "6c022ac... |
kkboy1/LeAudio | 2023-10-09T06:38:08.000Z | [
"task_categories:text2text-generation",
"region:us"
] | kkboy1 | null | null | null | 0 | 194 | ---
annotations_creators: []
language: []
language_creators: []
license: []
multilinguality: []
pretty_name: LE AUDIO BOOK
size_categories: []
source_datasets: []
tags: []
task_categories:
- text2text-generation
task_ids: []
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_by... |
german_legal_entity_recognition | 2023-01-25T14:30:49.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:de",
"license:cc-by-4.0",
"region:us"
] | null | \ | @inproceedings{leitner2019fine,
author = {Elena Leitner and Georg Rehm and Julian Moreno-Schneider},
title = {{Fine-grained Named Entity Recognition in Legal Documents}},
booktitle = {Semantic Systems. The Power of AI and Knowledge
Graphs. Proceedings of the 15th International Conference
... | null | 1 | 193 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- de
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: legal-documents-entity-recognitio... |
limit | 2022-11-18T20:18:52.000Z | [
"task_categories:token-classification",
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:ext... | null | Motion recognition is one of the basic cognitive capabilities of many life forms, yet identifying motion of physical entities in natural language have not been explored extensively and empirically. Literal-Motion-in-Text (LiMiT) dataset, is a large human-annotated collection of English text sentences describing physica... | @inproceedings{manotas-etal-2020-limit,
title = "{L}i{M}i{T}: The Literal Motion in Text Dataset",
author = "Manotas, Irene and
Vo, Ngoc Phuoc An and
Sheinin, Vadim",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
ad... | null | 3 | 193 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|net-activities-captions
- original
task_categories:
- token-classification
- text-classification
task_ids:
- multi-class-cla... |
vblagoje/lfqa | 2021-10-17T13:44:46.000Z | [
"region:us"
] | vblagoje | null | null | null | 11 | 193 | Entry not found |
MilaNLProc/honest | 2022-09-28T15:45:09.000Z | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:n<1K",
"source_datasets:original",
"license:mit",
"region:us"
] | MilaNLProc | HONEST dataset comprises a set of templates for measuring hurtful sentence completions in language models. The templates are provided in six languages (English, Italian, French, Portuguese, Romanian, and Spanish) for binary gender and in English for LGBTQAI+ individuals. WARNING: This dataset contains content that are ... | @inproceedings{nozza-etal-2021-honest,
title = {"{HONEST}: Measuring Hurtful Sentence Completion in Language Models"},
author = "Nozza, Debora and Bianchi, Federico and Hovy, Dirk",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computat... | null | 3 | 193 | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language_bcp47:
- en-US
- it-IT
- fr-FR
- pt-PT
- ro-RO
- es-ES
license:
- mit
multilinguality:
- multilingual
paperswithcode_id: honest-en
pretty_name: HONEST
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-clas... |
jay401521/train | 2023-10-06T08:37:14.000Z | [
"region:us"
] | jay401521 | null | null | null | 0 | 193 | ---
dataset_info:
features:
- name: id
dtype: int32
- name: domain
dtype: string
- name: label
dtype:
class_label:
names:
'0': POS
'1': NEG
'2': NEU
- name: rank
dtype: string
- name: sentence
dtype: string
splits:
- name: validation
nu... |
bing_coronavirus_query_set | 2022-11-03T16:30:54.000Z | [
"task_categories:text-classification",
"task_ids:intent-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:other",
"region:us"
] | null | This dataset was curated from the Bing search logs (desktop users only) over the period of Jan 1st, 2020 – (Current Month - 1). Only searches that were issued many times by multiple users were included. The dataset includes queries from all over the world that had an intent related to the Coronavirus or Covid-19. In so... | null | null | 0 | 192 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- intent-classification
paperswithcode_id: null
pretty_name: BingCoronavirusQuerySet
datas... |
blog_authorship_corpus | 2023-06-06T16:16:13.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | null | The Blog Authorship Corpus consists of the collected posts of 19,320 bloggers gathered from blogger.com in August 2004. The corpus incorporates a total of 681,288 posts and over 140 million words - or approximately 35 posts and 7250 words per person.
Each blog is presented as a separate file, the name of which indicat... | @inproceedings{schler2006effects,
title={Effects of age and gender on blogging.},
author={Schler, Jonathan and Koppel, Moshe and Argamon, Shlomo and Pennebaker, James W},
booktitle={AAAI spring symposium: Computational approaches to analyzing weblogs},
volume={6},
pages={199--205},
year={2006}
} | null | 5 | 192 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
paperswithcode_id: blog-authorship-corpus
pretty_name: Blog Authorship Corpus
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
-... |
miam | 2023-06-01T14:59:51.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:text-classification",
"task_ids:dialogue-modeling",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:mult... | null | Multilingual dIalogAct benchMark is a collection of resources for training, evaluating, and
analyzing natural language understanding systems specifically designed for spoken language. Datasets
are in English, French, German, Italian and Spanish. They cover a variety of domains including
spontaneous speech, scripted sce... | @unpublished{
anonymous2021cross-lingual,
title={Cross-Lingual Pretraining Methods for Spoken Dialog},
author={Anonymous},
journal={OpenReview Preprint},
year={2021},
url{https://openreview.net/forum?id=c1oDhu_hagR},
note={anonymous preprint under review}
} | null | 1 | 192 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- de
- en
- es
- fr
- it
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
- text-classification
task_ids:
- dialogu... |
laugustyniak/abusive-clauses-pl | 2023-03-29T10:46:49.000Z | [
"task_categories:text-classification",
"annotations_creators:hired_annotators",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10<n<10K",
"language:pl",
"license:cc-by-nc-sa-4.0",
"region:us"
] | laugustyniak | null | @InProceedings{AbusiveClauses:dataset,
title = {AbusiveClauses},
author={},
year={2022}
} | null | 5 | 192 | ---
annotations_creators:
- hired_annotators
language_creators:
- found
language:
- pl
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10<n<10K
task_categories:
- text-classification
task_ids:
- text-classification
pretty_name: Polish-Abusive-Clauses
---
# PAC - Polish Abusive Clauses Data... |
martinsinnona/visdecode | 2023-10-10T15:30:38.000Z | [
"region:us"
] | martinsinnona | null | null | null | 0 | 192 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 4869873.0
num_examples: 300
- name: test
num_bytes: 964574.0
num_examples: 60
download_size: 5748678
dataset_size: 5834447.0
---
# Dataset Card for "ploty"
[More In... |
jondurbin/airoboros-2.1 | 2023-08-24T16:56:07.000Z | [
"license:apache-2.0",
"region:us"
] | jondurbin | null | null | null | 11 | 192 | ---
license: apache-2.0
---
|
distil-whisper/librispeech_asr-noise | 2023-09-27T15:56:45.000Z | [
"region:us"
] | distil-whisper | null | null | null | 0 | 192 | ---
dataset_info:
- config_name: test-pub-noise
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: id
dtype: string
splits:
- name: '40'
num_bytes: 2517727265.74
num_examples: 2620
- name: '35'
num_bytes: 2517727265.74
num_examples: 2620
- name: '30'
... |
boomsss/spx_intra | 2023-09-30T05:34:10.000Z | [
"region:us"
] | boomsss | null | null | null | 0 | 192 | Entry not found |
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}
} | null | 0 | 191 | ---
license: cc-by-4.0
pretty_name: SQuADShifts
language: en
multilinguality: monolingual
size_categories: 1k<n<10k
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
---
# Dataset Card for "lmqg/qa_squadshifts"
## Dataset Description
- **Repository:** [https://githu... |
yzhuang/autotree_automl_10000_bank-marketing_sgosdt_l256_dim7_d3_sd0 | 2023-09-07T02:31:08.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 191 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
yzhuang/autotree_automl_10000_house_16H_sgosdt_l256_dim10_d3_sd0 | 2023-09-07T05:11:36.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 191 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
nannullna/laion_subset | 2023-09-25T05:33:23.000Z | [
"region:us"
] | nannullna | null | null | null | 0 | 191 | ---
configs:
- config_name: default
data_files:
- split: artwork
path: data/artwork-*
- split: person
path: data/person-*
- split: object
path: data/object-*
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
- name: url
dtype: string
- name: punsafe
... |
conv_ai_3 | 2022-11-03T16:30:50.000Z | [
"task_categories:conversational",
"task_categories:text-classification",
"task_ids:text-scoring",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"eva... | null | The Conv AI 3 challenge is organized as part of the Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020. The main aim of the conversational systems is to return an appropriate answer in response to the user requests. However, some user requests might be ambiguous. In Information Retrieval (IR) settings such... | @misc{aliannejadi2020convai3,
title={ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)},
author={Mohammad Aliannejadi and Julia Kiseleva and Aleksandr Chuklin and Jeff Dalton and Mikhail Burtsev},
year={2020},
eprint={2009.11352},
archivePrefix={arXiv},
... | null | 13 | 190 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- conversational
- text-classification
task_ids:
- text-scoring
paperswithcode_id: null
pretty_name: More... |
lewtun/asr_dummy | 2021-07-13T13:12:38.000Z | [
"region:us"
] | lewtun | Self-supervised learning (SSL) has proven vital for advancing research in
natural language processing (NLP) and computer vision (CV). The paradigm
pretrains a shared model on large volumes of unlabeled data and achieves
state-of-the-art (SOTA) for various tasks with minimal adaptation. However, the
speech processing co... | @article{DBLP:journals/corr/abs-2105-01051,
author = {Shu{-}Wen Yang and
Po{-}Han Chi and
Yung{-}Sung Chuang and
Cheng{-}I Jeff Lai and
Kushal Lakhotia and
Yist Y. Lin and
Andy T. Liu and
Jiatong Shi and
... | null | 0 | 190 | Entry not found |
benjamin/ner-uk | 2022-10-26T11:47:43.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"language:uk",
"license:cc-by-nc-sa-4.0",
"region:us"
] | benjamin | null | null | null | 0 | 190 | ---
language:
- uk
license: cc-by-nc-sa-4.0
multilinguality:
- monolingual
task_categories:
- token-classification
task_ids:
- named-entity-recognition
---
# lang-uk's ner-uk dataset
A dataset for Ukrainian Named Entity Recognition.
The original dataset is located at https://github.com/lang-uk/ner-uk. All credit for... |
heegyu/news-category-dataset | 2023-02-09T08:10:48.000Z | [
"license:cc-by-4.0",
"region:us"
] | heegyu | null | null | null | 0 | 190 | ---
license: cc-by-4.0
---
Dataset from https://www.kaggle.com/datasets/rmisra/news-category-dataset |
suolyer/webqa | 2023-02-23T02:12:12.000Z | [
"license:apache-2.0",
"region:us"
] | suolyer | null | null | null | 14 | 190 | ---
license: apache-2.0
---
|
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 | null | 41 | 190 | ---
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>
|
argilla/llama-2-banking-fine-tune | 2023-07-28T06:24:22.000Z | [
"size_categories:n<1K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | argilla | null | null | null | 5 | 190 | ---
size_categories: n<1K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for llama-2-banking-fine-tune
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or... |
result-kand2-sdxl-wuerst-karlo/390d6002 | 2023-10-02T17:22:43.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 190 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 177
num_examples: 10
download_size: 1344
dataset_size: 177
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "390d600... |
yangwang825/sst2-textfooler | 2023-10-09T22:09:14.000Z | [
"region:us"
] | yangwang825 | null | null | null | 0 | 190 | # Stanford Sentiment Treebank - Binary |
c3 | 2022-11-18T19:24:46.000Z | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:zh",
"license:other",
"arxiv:1904.09679",
"region:u... | null | Machine reading comprehension tasks require a machine reader to answer questions relevant to the given document. In this paper, we present the first free-form multiple-Choice Chinese machine reading Comprehension dataset (C^3), containing 13,369 documents (dialogues or more formally written mixed-genre texts) and their... | @article{sun2019investigating,
title={Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension},
author={Sun, Kai and Yu, Dian and Yu, Dong and Cardie, Claire},
journal={Transactions of the Association for Computational Linguistics},
year={2020},
url={https://arxiv.org/abs/1904.0967... | null | 8 | 189 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- zh
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- multiple-choice-qa
paperswithcode_id: c3
pretty_name: C3
dataset_inf... |
sent_comp | 2022-11-18T21:45:18.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:unknown",
"sentence-compression",
"region:us"
] | null | Large corpus of uncompressed and compressed sentences from news articles. | @inproceedings{filippova-altun-2013-overcoming,
title = "Overcoming the Lack of Parallel Data in Sentence Compression",
author = "Filippova, Katja and
Altun, Yasemin",
booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
month = oct,
year = "20... | null | 1 | 189 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: sentence-compression
pretty_name: Google Sentence Compression
tags:
... |
JFoz/dog-poses-controlnet-dataset | 2023-04-16T23:03:51.000Z | [
"region:us"
] | JFoz | null | null | null | 5 | 189 | ---
dataset_info:
features:
- name: original_image
dtype: image
- name: conditioning_image
dtype: image
- name: overlaid
dtype: image
- name: caption
dtype: string
splits:
- name: train
num_bytes: 4246979489.78
num_examples: 6077
download_size: 4258906554
dataset_size: 42469794... |
skeskinen/TinyStories-GPT4 | 2023-05-20T19:00:22.000Z | [
"region:us"
] | skeskinen | null | null | null | 13 | 189 | ---
dataset_info:
features:
- name: story
dtype: string
- name: summary
dtype: string
- name: source
dtype: string
- name: prompt
dtype: string
- name: words
sequence: string
- name: features
sequence: string
splits:
- name: train
num_bytes: 3680196493
num_examples: 274... |
alexcadillon/SemEval2014Task4 | 2023-09-12T08:49:29.000Z | [
"region:us"
] | alexcadillon | These are the datasets for Aspect Based Sentiment Analysis (ABSA), Task 4 of SemEval-2014. | @inproceedings{pontiki-etal-2014-semeval,
title = "{S}em{E}val-2014 Task 4: Aspect Based Sentiment Analysis",
author = "Pontiki, Maria and
Galanis, Dimitris and
Pavlopoulos, John and
Papageorgiou, Harris and
Androutsopoulos, Ion and
Manandhar, Suresh",
booktitle = "Proceed... | null | 0 | 189 | Entry not found |
roszcz/giant-midi-masked-v3 | 2023-10-03T18:34:23.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 189 | ---
dataset_info:
features:
- name: pitch
sequence: int8
length: 90
- name: start
sequence: float64
length: 90
- name: dstart
sequence: float64
length: 90
- name: end
sequence: float64
length: 90
- name: duration
sequence: float64
length: 90
- name: velocity
seq... |
germeval_14 | 2023-04-05T10:06:39.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:de",
"license:cc-by-4.0",
"region:us"
] | null | The GermEval 2014 NER Shared Task builds on a new dataset with German Named Entity annotation with the following properties: - The data was sampled from German Wikipedia and News Corpora as a collection of citations. - The dataset covers over 31,000 sentences corresponding to over 590,000 tokens. - The NER ann... | @inproceedings{benikova-etal-2014-nosta,
title = {NoSta-D Named Entity Annotation for German: Guidelines and Dataset},
author = {Benikova, Darina and
Biemann, Chris and
Reznicek, Marc},
booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'... | null | 3 | 188 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- de
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: nosta-d-named-entity-annotation-... |
mozilla-foundation/common_voice_9_0 | 2023-07-29T16:00:12.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
] | mozilla-foundation | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | null | 11 | 188 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
license:
- cc0-1.0
multilinguality:
- multilingual
size_categories:
ab:
- 10K<n<100K
ar:
- 100K<n<1M
as:
- n<1K
az:
- n<1K
ba:
- 100K<n<1M
bas:
- 1K<n<10K
be:
- 100K<n<1M
bg:
- 1K<n<10K
bn:
- 100K<n<1M
br:
... |
timbrooks/instructpix2pix-clip-filtered | 2023-03-02T11:19:16.000Z | [
"size_categories:100K<n<1M",
"language:en",
"arxiv:2211.09800",
"region:us"
] | timbrooks | null | null | null | 8 | 188 | ---
dataset_info:
features:
- name: original_prompt
dtype: string
- name: original_image
dtype: image
- name: edit_prompt
dtype: string
- name: edited_prompt
dtype: string
- name: edited_image
dtype: image
splits:
- name: train
num_bytes: 130930966429.88
num_examples: 313010
... |
JosephusCheung/GuanacoDataset | 2023-05-29T12:50:05.000Z | [
"task_categories:text-generation",
"task_categories:question-answering",
"task_categories:conversational",
"language:zh",
"language:en",
"language:ja",
"language:de",
"license:gpl-3.0",
"alpaca",
"llama",
"guanaco",
"doi:10.57967/hf/0570",
"region:us"
] | JosephusCheung | null | null | null | 429 | 188 | ---
license: gpl-3.0
task_categories:
- text-generation
- question-answering
- conversational
language:
- zh
- en
- ja
- de
tags:
- alpaca
- llama
- guanaco
---
# GuanacoDataset
**News: We're heading towards multimodal VQA, with blip2-flan-t5-xxl Alignment to Guannaco 7B LLM.**
Still under construction: [GuanacoVQA w... |
lighteval/MATH | 2023-08-03T09:30:49.000Z | [
"region:us"
] | lighteval | MATH is a dataset of 12,500 challenging competition mathematics problems. Each
problem in Math has a full step-by-step solution which can be used to teach
models to generate answer derivations and explanations. | @article{hendrycksmath2021,
title={Measuring Mathematical Problem Solving With the Math Dataset},
author={Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt},
journal={NeurIPS},
year={2021}
} | null | 2 | 188 | Entry not found |
Luciya/llama-2-nuv-intent-big | 2023-09-25T09:33:04.000Z | [
"region:us"
] | Luciya | null | null | null | 0 | 188 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 850629
num_examples: 1563
download_size: 131113
dataset_size: 850629
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "llama-2-nuv-intent-big"
[Mor... |
generated_reviews_enth | 2023-01-25T14:30:46.000Z | [
"task_categories:translation",
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:semantic-similarity-classification",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:transla... | null | `generated_reviews_enth`
Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)
`generated_reviews_enth` is created as part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf) for machine translation task.
This dataset... | @article{lowphansirikul2020scb,
title={scb-mt-en-th-2020: A Large English-Thai Parallel Corpus},
author={Lowphansirikul, Lalita and Polpanumas, Charin and Rutherford, Attapol T and Nutanong, Sarana},
journal={arXiv preprint arXiv:2007.03541},
year={2020}
} | null | 3 | 187 | ---
annotations_creators:
- expert-generated
- machine-generated
language_creators:
- machine-generated
language:
- en
- th
license:
- cc-by-sa-4.0
multilinguality:
- translation
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- translation
- text-classification
task_ids:
- multi-class-classif... |
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