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mehnaazasad | null | null | null | false | 1 | false | mehnaazasad/arxiv-co-ga | 2022-07-01T21:09:29.000Z | null | false | 0561293b619452e6cb667e5b595f434329807219 | [] | [
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"task_categories:text2text-generation",
"task_ids:explanation-generation",
"tas... | https://huggingface.co/datasets/mehnaazasad/arxiv-co-ga/resolve/main/README.md | #---
#license: mit
#---
---
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pretty_name: arxiv-co-ga
size_categories:
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task_categories:
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task_... |
Vlasta | null | null | null | false | 12 | false | Vlasta/human_cdna | 2022-06-03T12:05:12.000Z | null | false | ae36d2f6ba4f3665312596585286686ba18f8290 | [] | [] | https://huggingface.co/datasets/Vlasta/human_cdna/resolve/main/README.md | dna cdna hamburger
# Dataset Card for cdna_test_dset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-inst... |
AlixCF | null | null | null | false | 2 | false | AlixCF/sample | 2022-06-03T08:55:03.000Z | null | false | a73386694d6861a9a4806ccab1da7c54f5fe1194 | [] | [
"license:cc"
] | https://huggingface.co/datasets/AlixCF/sample/resolve/main/README.md | ---
license: cc
---
|
cmotions | null | null | null | false | 67 | false | cmotions/Beatles_lyrics | 2022-06-03T11:41:37.000Z | null | false | cb3a1f75a0522510371b5ff44e2e7a2c09007dd1 | [] | [
"language:en",
"tags:language modeling",
"datasets:full dataset",
"datasets:cleaned dataset"
] | https://huggingface.co/datasets/cmotions/Beatles_lyrics/resolve/main/README.md | ---
language:
- en
tags:
- language modeling
datasets:
- full dataset
- cleaned dataset
---
## Dataset overview
This dataset contains all lyrics from songs produced by The Beatles, 180 in total. There a two splits available in the dictionary:
- dataset_cleaned: contains all lyrics including Intro, Outro, Chorus ta... |
wgolding | null | null | null | false | 1 | false | wgolding/test2 | 2022-06-03T13:48:02.000Z | null | false | 63c153aeb17357bbd1a8194d7c193c1ed59b1c74 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/wgolding/test2/resolve/main/README.md | ---
license: apache-2.0
---
|
juancavallotti | null | null | null | false | 1 | false | juancavallotti/bea-19-corruption | 2022-06-06T20:54:56.000Z | null | false | b63daf6b92bbb10f48cc4222606b85ef90a78cba | [] | [] | https://huggingface.co/datasets/juancavallotti/bea-19-corruption/resolve/main/README.md | # BEA 19 Shared task.
BEA 19 Shared task dataset already preprocessed to have the original and corrupted sentence.
I merged the def and train datasets into one and applied all the annotated edits.
Source: https://www.cl.cam.ac.uk/research/nl/bea2019st/ |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/Travel-Dataset-5000 | 2022-10-25T10:28:54.000Z | null | false | bac965b98b874c4da8032226f4b4c5286d1122a5 | [] | [
"language:en",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/Travel-Dataset-5000/resolve/main/README.md | ---
language:
- en
license:
- mit
---
This question base consits of 5000 travel domain based questions which are being annotated under a taxonomy related to the travel domain. The taxonomy is a hierarchical taxonomy with two levels of 7 coarse classes and 63 fine classes. 5000TravelQuestionsDataset.xlsx file consists o... |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/Sinhala-short-sentences | 2022-10-25T10:28:56.000Z | null | false | ae8924566217955fd24d85a06e3024d6f68cdc5f | [] | [
"language:si",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/Sinhala-short-sentences/resolve/main/README.md | ---
language:
- si
license:
- mit
---
This is the dataset used in the paper Kadupitiya, J.C.S., Ranathunga, S. and Dias, G., 2016, December. Sinhala Short Sentence Similarity Measures using Corpus-Based Simi-larity for Short Answer Grading. In 6th Workshop on South and Southeast Asian Natural Language Processing (pp.... |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/Sinhala-news-clustering | 2022-10-25T10:28:58.000Z | null | false | 30acffe268fb4a60ccce0de55704c4c220a8a4ca | [] | [
"language:si",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/Sinhala-news-clustering/resolve/main/README.md | ---
language:
- si
license:
- mit
---
This repo contains data and source code for the paper Nanayakkara, P., & Ranathunga, S. (2018, May). Clustering Sinhala News Articles Using Corpus-Based Similarity Measures. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 437-442). IEEE.
Source code - logic to clust... |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/sinhala-sentiment-lexicon-generation | 2022-10-25T10:29:00.000Z | null | false | a822df8d586f07ac8228542615367cb22b1ccb77 | [] | [
"language:si",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/sinhala-sentiment-lexicon-generation/resolve/main/README.md | ---
language:
- si
license:
- mit
--- |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/Sinhala-Neuspellcorrector | 2022-10-25T10:29:03.000Z | null | false | 3ed98b8bc0497b0a1fec708ce7962fec6d871de7 | [] | [
"language:si",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/Sinhala-Neuspellcorrector/resolve/main/README.md | ---
language:
- si
license:
- mit
---
This repository contains the dataset for paper "A Neural Spell Corrector and a baseline for Sinhala SpellCorrection" |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning | 2022-10-25T10:29:06.000Z | null | false | 112802ed7e3fdf9f4ff285e2e17fafd0f13c648b | [] | [
"language:ta",
"language:si",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/Tamil-Sinhala-short-sentence-similarity-deep-learning/resolve/main/README.md | ---
language:
- ta
- si
license:
- mit
---
This research focuses on finding the best possible deep learning-based techniques to measure the short sentence similarity for low-resourced languages, focusing on Tamil and Sinhala sort sentences by utilizing existing unsupervised techniques for English. Original repo availab... |
NLPC-UOM | null | null | null | false | 1 | false | NLPC-UOM/Sentiment-tagger | 2022-10-25T10:29:09.000Z | null | false | ca94af86c7d1ea6b8c218ba2623f48490f69a7a3 | [] | [
"language:si",
"license:mit"
] | https://huggingface.co/datasets/NLPC-UOM/Sentiment-tagger/resolve/main/README.md | ---
language:
- si
license:
- mit
---
*Sentiment Analysis of Sinhala News Comments*
Dataset used in this project is collected by crawling Sinhala online news sites, mainly www.lankadeepa.lk.
contact
Please contact us if you need more information.
Surangika Ranathunga-surangika@cse.mrt.ac.lk
Isuru Liyanage-theisuru@... |
yanekyuk | null | null | null | false | 1 | false | yanekyuk/wikikey-fr | 2022-09-17T02:21:13.000Z | null | false | dda0a99a5d9f79b354d26f59e19cff2e1ae847e3 | [] | [
"language:fr"
] | https://huggingface.co/datasets/yanekyuk/wikikey-fr/resolve/main/README.md | ---
language: fr
--- |
awghuku | null | null | null | false | 2 | false | awghuku/infore25 | 2022-06-04T05:55:22.000Z | null | false | 0158d1d5db7a6b5ad1e91c310ac4a08ca0190f0f | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/awghuku/infore25/resolve/main/README.md | ---
license: cc-by-4.0
---
|
anton-l | null | @misc{https://doi.org/10.48550/arxiv.2203.15591,
doi = {10.48550/ARXIV.2203.15591},
url = {https://arxiv.org/abs/2203.15591},
author = {Del Rio, Miguel and Ha, Peter and McNamara, Quinten and Miller, Corey and Chandra, Shipra},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences... | The Earnings 22 dataset ( also referred to as earnings22 ) is a 119-hour corpus of English-language earnings calls collected from global companies.
The primary purpose is to serve as a benchmark for industrial and academic automatic speech recognition (ASR) models on real-world accented speech. | false | 1 | false | anton-l/earnings22 | 2022-06-08T12:39:18.000Z | null | false | 366fae9390a1eb6c77e4aa619c709b73d0d78d5c | [] | [
"license:cc-by-sa-4.0"
] | https://huggingface.co/datasets/anton-l/earnings22/resolve/main/README.md | ---
license: cc-by-sa-4.0
---
|
arbml | null | \ | \ | false | 1 | false | arbml/metrecv2 | 2022-06-04T16:27:04.000Z | null | false | 4699c8b618ad13ebddb32ab7978357a39b374a7a | [] | [] | https://huggingface.co/datasets/arbml/metrecv2/resolve/main/README.md | ```
DatasetDict({
train: Dataset({
features: ['text', 'label'],
num_rows: 1466586
})
test: Dataset({
features: ['text', 'label'],
num_rows: 362798
})
})
``` |
AllenGeng | null | null | null | false | 1 | false | AllenGeng/OCaml_program_corpus | 2022-06-05T16:41:33.000Z | null | false | d525835b7beb6509312dd1c5d4e31208dbb39bd4 | [] | [] | https://huggingface.co/datasets/AllenGeng/OCaml_program_corpus/resolve/main/README.md | This dataset consists of around 350,000 OCaml programs. |
alexyanchag | null | null | null | false | 1 | false | alexyanchag/demo | 2022-06-05T03:51:13.000Z | null | false | 9efcfb348b2e58471307d0e346c99718c2db4cc6 | [] | [
"license:other"
] | https://huggingface.co/datasets/alexyanchag/demo/resolve/main/README.md | ---
license: other
---
|
shpotes | null | null | null | false | 1 | false | shpotes/pathfinder | 2022-06-05T04:39:58.000Z | null | false | 862cc322aa5d41cd7a467f035e53240ab851a4d8 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/shpotes/pathfinder/resolve/main/README.md | ---
license: apache-2.0
---
|
buio | null | null | null | false | 1 | false | buio/heart-disease | 2022-06-05T11:48:42.000Z | null | false | 4e539bff1729a7a4fd72fcdbb2dfbfcff71574fe | [] | [
"tags:structured-data",
"tags:tabular-data",
"tags:classification"
] | https://huggingface.co/datasets/buio/heart-disease/resolve/main/README.md | ---
tags:
- structured-data
- tabular-data
- classification
---
The [Heart Disease Data Set](https://archive.ics.uci.edu/ml/datasets/heart+Disease) is provided by the Cleveland Clinic Foundation for Heart Disease. It's a CSV file with 303 rows. Each row contains information about a patient (a sample), and each column ... |
cakiki | null | null | null | false | 1 | false | cakiki/fr_wikipedia_trigrams | 2022-08-31T10:30:15.000Z | null | false | 91df7f3f4f72ddab0d18319b2c4adac2690e7114 | [] | [
"language:fr"
] | https://huggingface.co/datasets/cakiki/fr_wikipedia_trigrams/resolve/main/README.md | ---
language: fr
--- |
BlackSamorez | null | @InProceedings{huggingface:dataset,
title = {2ch b dialogues},
author={black_samorez},
year={2022}
} | Dialogues build from 2ch.hk/b/ threads | false | 2 | false | BlackSamorez/2ch_b_dialogues | 2022-07-01T15:55:21.000Z | null | false | f7347d76a8c48dedd19e4cf675f6140b74dd15c8 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:ru",
"multilinguality:monolingual",
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"source_datasets:original",
"task_categories:conversational",
"task_ids:dialogue-generation"
] | https://huggingface.co/datasets/BlackSamorez/2ch_b_dialogues/resolve/main/README.md | ---
annotations_creators:
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license: []
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pretty_name: Dialogues mined from 2ch/b/.
size_categories:
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source_datasets:
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task_categories:
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task_ids:
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---
# Dataset Card for 2ch... |
BeIR | null | null | null | false | 809 | false | BeIR/fiqa | 2022-10-23T06:00:28.000Z | beir | false | e31855201132ea2a257d7df77c828d7c02427521 | [] | [
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"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/fiqa/resolve/main/README.md | ---
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BeIR | null | null | null | false | 457 | false | BeIR/trec-covid | 2022-10-23T06:00:45.000Z | beir | false | d158b3b1564c0d022d67c482c3d5bbb10922dfe7 | [] | [
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"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/trec-covid/resolve/main/README.md | ---
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carblacac | null | @InProceedings{thinknook:dataset,
title = {Twitter Sentiment Analysis Training Corpus (Dataset)},
author={Ibrahim Naji},
year={2012}
} | The Twitter Sentiment Analysis Dataset contains 1,578,627 classified tweets, each row is marked as 1 for positive sentiment and 0 for negative sentiment.
The dataset is based on data from the following two sources:
University of Michigan Sentiment Analysis competition on Kaggle
Twitter Sentiment Corpus by Niek Sanders... | false | 92 | false | carblacac/twitter-sentiment-analysis | 2022-10-25T05:42:06.000Z | other | false | de6188e66fd45b975dfaef454eae6ba38e1c9f32 | [] | [
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"task_categories:text-classification",
"task_ids:feeling-classification",
"configs:None"
] | https://huggingface.co/datasets/carblacac/twitter-sentiment-analysis/resolve/main/README.md | ---
pretty_name: "TSATC: Twitter Sentiment Analysis Training Corpus"
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multilinguality:
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size_categories:
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source_datasets:
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task_categories:
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task_ids:
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BeIR | null | null | null | false | 98 | false | BeIR/trec-covid-qrels | 2022-10-23T06:01:04.000Z | beir | false | 532ac68ee6756ac22c9346eebf65bd3c6a042e10 | [] | [
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"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/trec-covid-qrels/resolve/main/README.md | ---
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BeIR | null | null | null | false | 1,905 | false | BeIR/scifact | 2022-10-23T06:01:22.000Z | beir | false | 984eed826375f18d27936c4a32bf0f8491e3f414 | [] | [
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BeIR | null | null | null | false | 1,375 | false | BeIR/nfcorpus | 2022-10-23T06:01:44.000Z | beir | false | e28763e68d85db0fa71652ba3c4afabf8c5b3bb7 | [] | [
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BeIR | null | null | null | false | 83 | false | BeIR/msmarco | 2022-10-23T06:02:06.000Z | beir | false | a3fa9dd86468c73c653a486b39ad9d22076b8aa5 | [] | [
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BeIR | null | null | null | false | 84 | false | BeIR/nq | 2022-10-23T06:02:24.000Z | beir | false | ed7edb11ab8c173ff4394c30ff266c7297904b24 | [] | [
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BeIR | null | null | null | false | 38 | false | BeIR/climate-fever-qrels | 2022-10-23T06:08:28.000Z | beir | false | ca2c7ed51cf8b40c10c23a099a27eceb3678156b | [] | [
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:100k<n<1M",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"task_categories:text-retrieval",
"task_ids:passage-retrieval",
"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/climate-fever-qrels/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
Resteves | null | null | null | false | 1 | false | Resteves/ServiciosPublicos | 2022-06-06T05:10:09.000Z | null | false | 77af9a69130d134b158e1b8a0c3f987a6631742a | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Resteves/ServiciosPublicos/resolve/main/README.md | ---
license: apache-2.0
---
|
MarlaR | null | null | null | false | 3 | false | MarlaR/dalle | 2022-06-06T03:36:36.000Z | null | false | 70ddac3490c645dbcfe4bad2a073d96b66f3e85f | [] | [
"license:artistic-2.0"
] | https://huggingface.co/datasets/MarlaR/dalle/resolve/main/README.md | ---
license: artistic-2.0
---
|
misaelferrer | null | null | null | false | 2 | false | misaelferrer/actividad2 | 2022-06-09T17:07:01.000Z | null | false | 106ced5d5a817856a6cfcfb73ca68d52c656c9e7 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/misaelferrer/actividad2/resolve/main/README.md | ---
license: apache-2.0
---
|
misaelferrer | null | null | null | false | 1 | false | misaelferrer/sentiment-banking | 2022-06-06T04:13:11.000Z | null | false | a47a6c77d49fe06d0c174d0c5aa19e19d061e190 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/misaelferrer/sentiment-banking/resolve/main/README.md | ---
license: apache-2.0
---
|
yogeshkulkarni | null | null | null | false | 1 | false | yogeshkulkarni/MidcurveNN | 2022-06-06T08:39:46.000Z | null | false | ddba77c23da8cb571d22acfd5c0ca85bce2c3d98 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/yogeshkulkarni/MidcurveNN/resolve/main/README.md | # MidcurveNN
Paired images of Profiles and their respective Midcurves
---
license: apache-2.0
---
# Dataset for Midcurve Computation
## Description
Dataset: set of images, can be c... |
Adapting | null | null | null | false | 1 | false | Adapting/empathetic_dialogues_v2 | 2022-06-21T17:56:26.000Z | null | false | cb66212ad29e9d25cb8a93e2a024926a82e1c8bc | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/Adapting/empathetic_dialogues_v2/resolve/main/README.md | ---
license: afl-3.0
---
Fine-tuned empathetic dialogue datasets from https://huggingface.co/datasets/empathetic_dialogues
With labeled chat history, system response, question or not and behavior.
|
BeIR | null | null | null | false | 39 | false | BeIR/nq-qrels | 2022-10-23T06:08:44.000Z | beir | false | 519acd4e48bb3e5da22b2b888ce36c614f4f2bc9 | [] | [
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:100k<n<1M",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"task_categories:text-retrieval",
"task_ids:passage-retrieval",
"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/nq-qrels/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
JeremyAlain | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | The Fewshot Table dataset consists of tables that naturally occur on the web, that are formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. The dataset consists of approximately 413K tables that are extracted from the WDC Web Table Corpora 2015, which is released under the ... | false | 5 | false | JeremyAlain/123_test | 2022-10-25T10:29:11.000Z | null | false | 40911c400822855a48328accb2f2b7688e290db3 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"task_categories:te... | https://huggingface.co/datasets/JeremyAlain/123_test/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Fewshot Table Dataset
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- multiple-choice
- question-answering
- zero-shot-classification
- text2text-gene... |
osanseviero | null | null | null | false | 1 | false | osanseviero/hugging_eats | 2022-06-08T12:11:08.000Z | null | false | e3f8f572db62904f0c6c3cb6ae94573d1d23d95f | [] | [
"license:mit"
] | https://huggingface.co/datasets/osanseviero/hugging_eats/resolve/main/README.md | ---
license: mit
---
|
BeIR | null | null | null | false | 1 | false | BeIR/arguana-generated-queries | 2022-10-23T06:09:01.000Z | beir | false | fa799d392fa269bd5d471d58d9cda4940df8face | [] | [
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:100k<n<1M",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"task_categories:text-retrieval",
"task_ids:passage-retrieval",
"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/arguana-generated-queries/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
BeIR | null | null | null | false | 1 | false | BeIR/climate-fever-generated-queries | 2022-10-23T06:09:20.000Z | beir | false | e7f3b5784903b069fced19562f6c9c0bc3fab008 | [] | [
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:100k<n<1M",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"task_categories:text-retrieval",
"task_ids:passage-retrieval",
"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/climate-fever-generated-queries/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
BeIR | null | null | null | false | 3 | false | BeIR/dbpedia-entity-generated-queries | 2022-10-23T06:09:39.000Z | beir | false | 00b63b32a877b1788bb03fa45a7138d6f756587b | [] | [
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:100k<n<1M",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"task_categories:text-retrieval",
"task_ids:passage-retrieval",
"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/dbpedia-entity-generated-queries/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
BeIR | null | null | null | false | 6 | false | BeIR/fever-generated-queries | 2022-10-23T06:09:56.000Z | beir | false | fc0986aa79e6486b5a0e8092e3066055a221c07a | [] | [
"language:en",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:100k<n<1M",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"task_categories:text-retrieval",
"task_ids:passage-retrieval",
"task_ids:entity-l... | https://huggingface.co/datasets/BeIR/fever-generated-queries/resolve/main/README.md | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
ziq | null | null | null | false | 1 | false | ziq/depression_advice | 2022-06-07T02:48:24.000Z | null | false | 45e5c66d00da94de5e7481e2ca35321b7b6d27b6 | [] | [
"license:mit"
] | https://huggingface.co/datasets/ziq/depression_advice/resolve/main/README.md | ---
license: mit
---
|
Ephrem | null | null | null | false | 1 | false | Ephrem/Amharic_ASR_Dataset | 2022-06-07T08:31:19.000Z | null | false | e9cb39ab890422c8639a84537f8911b965ef31e0 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Ephrem/Amharic_ASR_Dataset/resolve/main/README.md | ---
license: apache-2.0
---
|
nlpaueb | null | @InProceedings{xenouleas-etal-2022-realistic-multieurlex,
author = {Xenouleas, Stratos
and Tsoukara, Alexia
and Panagiotakis, Giannis
and Chalkidis, Ilias
and Androutsopoulos, Ion},
title = {Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Cla... | An non-parallel version of the MultiEURLEX datasets released by Chalkidis et al. (2021).
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predi... | false | 4 | false | nlpaueb/multi_eurlex | 2022-10-25T10:29:13.000Z | null | false | e18c6f4fc7555e7e2294070c77f9ff23215436a9 | [] | [
"annotations_creators:found",
"language_creators:found",
"language_creators:machine-generated",
"language:en",
"language:de",
"language:fr",
"language:el",
"language:sk",
"license:cc-by-sa-4.0",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:extended|multi_eurle... | https://huggingface.co/datasets/nlpaueb/multi_eurlex/resolve/main/README.md | ---
pretty_name: Non-Parallel MultiEURLEX (incl. Translations)
annotations_creators:
- found
language_creators:
- found
- machine-generated
language:
- en
- de
- fr
- el
- sk
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|multi_eurlex
task_categories:
... |
DigitalUmuganda | null | null | null | false | 1 | false | DigitalUmuganda/kinyarwanda-english-machine-translation-dataset | 2022-11-04T16:12:51.000Z | null | false | a69005be8d20e2982fedbe0474c5a653adf290f8 | [] | [
"annotations_creators:expert-generated",
"language_creators:Digital Umuganda",
"language:en",
"language:rw",
"license:cc-by-4.0",
"multilinguality:multilingual",
"size_categories:40K<n<50K"
] | https://huggingface.co/datasets/DigitalUmuganda/kinyarwanda-english-machine-translation-dataset/resolve/main/README.md | ---
pretty_name: parallel corpus
annotations_creators:
- expert-generated
language_creators:
- Digital Umuganda
language:
- en
- rw
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 40K<n<50K
---
# Kinyarwanda English Parallel Datasets for Machine translation
A 48,000 Kinyarwanda English Parallel... |
jordane95 | null | @inproceedings{karpukhin-etal-2020-dense,
title = "Dense Passage Retrieval for Open-Domain Question Answering",
author = "Karpukhin, Vladimir and Oguz, Barlas and Min, Sewon and Lewis, Patrick and Wu, Ledell and Edunov,
Sergey and Chen, Danqi and Yih, Wen-tau",
booktitle = "Proceedings of the 2020 Conf... | null | false | 1 | false | jordane95/wikipedia-nq-query | 2022-06-07T16:48:13.000Z | null | false | f4495298b117cea61ce96c0f17e43f13eba59be5 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/jordane95/wikipedia-nq-query/resolve/main/README.md | ---
license: afl-3.0
---
|
rungalileo | null | null | null | false | 3 | false | rungalileo/mit_movies_fixed_connll_format | 2022-10-25T18:39:27.000Z | null | false | bf6c430a8673a2305638576a61f99efdd4f7b2a1 | [] | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:token-classification",
"task_ids:named-entity-recognition"
] | https://huggingface.co/datasets/rungalileo/mit_movies_fixed_connll_format/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: MIT_movies_fixed
---
# Dataset ... |
banjtheman | null | null | null | false | 5 | false | banjtheman/AmazonHelpfulReviewsTest | 2022-06-07T19:24:01.000Z | null | false | 9b4bd7a2ef419b151d6c0471eaed9b51a999e920 | [] | [] | https://huggingface.co/datasets/banjtheman/AmazonHelpfulReviewsTest/resolve/main/README.md | A collection of sentences extracted from customer reviews labeled with their helpfulness score.
Source : https://registry.opendata.aws/helpful-sentences-from-reviews/
raw data: https://helpful-sentences-from-reviews.s3.amazonaws.com/test.json |
banjtheman | null | null | null | false | 1 | false | banjtheman/AmazonHelpfulReviewsTrain | 2022-06-07T19:24:36.000Z | null | false | efa7a16d1ee0fdf2dfc27db2e5feb6f2a6c18313 | [] | [] | https://huggingface.co/datasets/banjtheman/AmazonHelpfulReviewsTrain/resolve/main/README.md | A collection of sentences extracted from customer reviews labeled with their helpfulness score.
Source : https://registry.opendata.aws/helpful-sentences-from-reviews/
raw data: https://helpful-sentences-from-reviews.s3.amazonaws.com/train.json |
noahgift | null | null | null | false | 91 | false | noahgift/fake-news | 2022-06-07T20:46:34.000Z | null | false | 1755e78b33dd20ffbacbfea6ba410e7e049641ec | [] | [
"license:cc"
] | https://huggingface.co/datasets/noahgift/fake-news/resolve/main/README.md | ---
license: cc
---
|
noahgift | null | null | null | false | 1 | false | noahgift/test | 2022-06-07T20:54:42.000Z | null | false | cb0edcf6a5b54094a4ba9ce400bd9a5e04dc0f1c | [] | [] | https://huggingface.co/datasets/noahgift/test/resolve/main/README.md | ---
---
# Dataset Card for [test]
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
|
Carloa | null | null | null | false | 1 | false | Carloa/Notes | 2022-06-07T22:10:10.000Z | null | false | 786ece8002fff60221d4070670f691446b0ac070 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/Carloa/Notes/resolve/main/README.md | ---
license: apache-2.0
---
|
AleDella | null | null | null | false | 1 | false | AleDella/tone | 2022-08-10T09:08:36.000Z | null | false | 755a72db1a7464c7fd50b750303fcaed8c6afe6d | [] | [
"license:wtfpl"
] | https://huggingface.co/datasets/AleDella/tone/resolve/main/README.md | ---
license: wtfpl
---
This dataset is just a mini-dataset for a dead language bruh |
qbhy | null | null | null | false | 1 | false | qbhy/dataset-example | 2022-06-08T02:08:16.000Z | null | false | 7dddc3e6a3e38fdd6ccc5e83f2161fad96b40e65 | [] | [
"license:afl-3.0"
] | https://huggingface.co/datasets/qbhy/dataset-example/resolve/main/README.md | ---
license: afl-3.0
---
|
wise-east | null | null | null | false | 1 | false | wise-east/spolin | 2022-10-25T10:29:16.000Z | null | false | 4476df9a1081ec2029e000dcd6a1133535c6630d | [] | [
"arxiv:2004.09544",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"language_creators:other",
"language:en",
"license:cc-by-nc-4.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:... | https://huggingface.co/datasets/wise-east/spolin/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
- other
language:
- en
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
pretty_name: spolin
size_categories:
- 100K<n<1M
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
- text-generation
task_ids:
- text... |
yoshitomo-matsubara | null | null | null | false | 1 | false | yoshitomo-matsubara/srsd-feynman_easy | 2022-09-20T06:41:10.000Z | null | false | a31afdbd4b818a5e35c3eae4fc10b50cb9c7b6b8 | [] | [
"arxiv:2206.10540",
"annotations_creators:expert",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended"
] | https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_easy/resolve/main/README.md | ---
pretty_name: SRSD-Feynman (Easy)
annotations_creators:
- expert
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- symbolic-regression
task_ids: []
---
# Dataset Card for SRSD-Feynman (Easy s... |
yoshitomo-matsubara | null | null | null | false | 2 | false | yoshitomo-matsubara/srsd-feynman_medium | 2022-09-28T05:09:16.000Z | null | false | 2097e1336e3b16dc6848eddf8ab09de4bea4dee4 | [] | [
"arxiv:2206.10540",
"annotations_creators:expert",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended"
] | https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_medium/resolve/main/README.md | ---
pretty_name: SRSD-Feynman (Medium)
annotations_creators:
- expert
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- symbolic-regression
task_ids: []
---
# Dataset Card for SRSD-Feynman (Medi... |
yoshitomo-matsubara | null | null | null | false | 1 | false | yoshitomo-matsubara/srsd-feynman_hard | 2022-09-20T06:42:09.000Z | null | false | 72bb330e3a66a305945b0084104b1d00b3ff8e95 | [] | [
"arxiv:2206.10540",
"annotations_creators:expert",
"language_creators:expert-generated",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended"
] | https://huggingface.co/datasets/yoshitomo-matsubara/srsd-feynman_hard/resolve/main/README.md | ---
pretty_name: SRSD-Feynman (Hard)
annotations_creators:
- expert
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- symbolic-regression
task_ids: []
---
# Dataset Card for SRSD-Feynman (Hard s... |
AhmedSSabir | null | null | null | false | 1 | false | AhmedSSabir/Textual-Image-Caption-Dataset | 2022-08-19T09:03:20.000Z | null | false | 52497dce816cf49d868a39bca540ae2d156751f0 | [] | [] | https://huggingface.co/datasets/AhmedSSabir/Textual-Image-Caption-Dataset/resolve/main/README.md |
# Introduction
Modern image captaining relies heavily on extracting knowledge, from images such as objects, to capture the concept of static story in the image. In this paper, we propose a textual visual context dataset for captioning, where the publicly available dataset COCO caption (Lin et al., 2014) has been exte... |
juletxara | null | @article{tydiqa,
title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
year = {2020},
journal = {Transactions of... | TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language
expresses -- such that we expect models performing well on this set to generalize a... | false | 17 | false | juletxara/tydiqa_xtreme | 2022-07-01T19:19:05.000Z | tydi-qa | false | cefa5bbe8262dcbd13ad8192c11a696fc06f6b1c | [] | [
"arxiv:2003.11080",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:en",
"language:ar",
"language:bn",
"language:fi",
"language:id",
"language:ja",
"language:sw",
"language:ko",
"language:ru",
"language:te",
"language:th",
"license:apache-2.0",
"multili... | https://huggingface.co/datasets/juletxara/tydiqa_xtreme/resolve/main/README.md | ---
pretty_name: TyDi QA
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
- ar
- bn
- fi
- id
- ja
- sw
- ko
- ru
- te
- th
license:
- apache-2.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
ta... |
yinxiang | null | null | null | false | 1 | false | yinxiang/test | 2022-06-08T11:20:37.000Z | null | false | 07bdc8041e8abe23247fc6a846d4e8c711b01bec | [] | [
"license:zlib"
] | https://huggingface.co/datasets/yinxiang/test/resolve/main/README.md | ---
license: zlib
---
|
AhmedSSabir | null | null | null | false | 3 | false | AhmedSSabir/Japanese-wiki-dump-sentence-dataset | 2022-06-08T11:49:01.000Z | null | false | 38da82d3f85cf3e5962d1fbbf6a89b6609afb305 | [] | [] | https://huggingface.co/datasets/AhmedSSabir/Japanese-wiki-dump-sentence-dataset/resolve/main/README.md | # Dataset
5M (5121625) clean Japanese full sentence with the context. This dataset can be used to learn unsupervised semantic similarity, etc. |
neurotech | null | null | null | false | 1 | false | neurotech/swahili-ner-dataset | 2022-06-08T11:55:33.000Z | null | false | 6ec29d1f9cfc2c623d147b171247d30f3c51b550 | [] | [] | https://huggingface.co/datasets/neurotech/swahili-ner-dataset/resolve/main/README.md | <samp>
# SWAHILI-NER-DATASET
Swahili NER dataset is a Named Entity Recognition (NER) dataset generated from <https://huggingface.co/datasets/swahili> using back-translation techniques.
In case you're interested to explore more about the script used to generate this dataset, please have a look into [Augumented Swahil... |
tonytins | null | null | null | false | 1 | false | tonytins/chat-dataset | 2022-06-10T03:36:25.000Z | null | false | b0c67f6230b01bb20644fdfa9f6b00af43f1412d | [] | [] | https://huggingface.co/datasets/tonytins/chat-dataset/resolve/main/README.md | # Chat Dataset
Derived from Hitomi Team's [Convo Dataset](https://github.com/hitomi-team/convo-dataset) on Github, the Chat Dataset is a vast dataset with diverse data used for training models to assist in conversation analysis and generation.
## Getting Started
### Prerequisites
- Python
- Git LFS
## DISCLAIMER
... |
null | null | @misc{lin2021truthfulqa,
title={TruthfulQA: Measuring How Models Mimic Human Falsehoods},
author={Stephanie Lin and Jacob Hilton and Owain Evans},
year={2021},
eprint={2109.07958},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | TruthfulQA is a benchmark to measure whether a language model is truthful in
generating answers to questions. The benchmark comprises 817 questions that
span 38 categories, including health, law, finance and politics. Questions are
crafted so that some humans would answer falsely due to a false belief or
misconception.... | false | 252 | false | truthful_qa | 2022-11-03T16:07:43.000Z | truthfulqa | false | 12f4e1003f6b8d157614d264e32b9ea54d8b5c62 | [] | [
"arxiv:2109.07958",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_categories:multiple-choice",
"task_categories:text-generation",
"task_c... | https://huggingface.co/datasets/truthful_qa/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: TruthfulQA
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- multiple-choice
- text-generation
- question-answering
task_ids:
- multipl... |
florentgbelidji | null | null | null | false | 1 | false | florentgbelidji/edmunds-car-ratings | 2022-10-25T10:29:18.000Z | null | false | d3e69447d55bd803fd3f7e1cd50847f12316ddee | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"task_categories:text-classification",
"task_ids:multi-label-classification"
] | https://huggingface.co/datasets/florentgbelidji/edmunds-car-ratings/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license: []
multilinguality:
- monolingual
pretty_name: Consumer car reviews for Nissan
size_categories:
- 1K<n<10K
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-label-classification
--- |
frollo | null | null | null | false | 1 | false | frollo/ItalianCrimeNews | 2022-06-08T16:22:28.000Z | null | false | 49e7bd1793ccc082c3fd25ac50ade795870f22ff | [] | [
"license:mit"
] | https://huggingface.co/datasets/frollo/ItalianCrimeNews/resolve/main/README.md | ---
license: mit
---
The dataset contains the main components of the news articles published online by the newspaper named <a href="https://gazzettadimodena.gelocal.it/modena">Gazzetta di Modena</a>: url of the web page, title, sub-title, text, date of publication, crime category assigned to each news article by the a... |
null | null | @InProceedings{bigbench,
title = {Beyond the Imitation Game: Quantifying and extrapolating the
capabilities of language models},
author={BIG-Bench Collaboration
},
year={2022}
} | The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to
probe large language models, and extrapolate their future capabilities. | false | 11,482 | false | bigbench | 2022-11-03T16:47:03.000Z | null | false | bd81e927e0ac553c95e0c8512fdd5006dd9da2e5 | [] | [
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:other",
"language:en",
"license:apache-2.0",
"mu... | https://huggingface.co/datasets/bigbench/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
- expert-generated
- machine-generated
language_creators:
- crowdsourced
- expert-generated
- machine-generated
- other
language:
- en
license:
- apache-2.0
multilinguality:
- multilingual
- monolingual
pretty_name: bigbench
size_categories:
- unknown
source_datasets:
- original... |
multimodalart | null | null | null | false | 4 | false | multimodalart/latent-majesty-diffusion-settings | 2022-06-08T23:42:14.000Z | null | false | b8fc0b50ec2a62599a31db66daac2a8985078a6d | [] | [
"license:mit"
] | https://huggingface.co/datasets/multimodalart/latent-majesty-diffusion-settings/resolve/main/README.md | ---
license: mit
---
A collection of default settings for the text-to-image model [Latent Majesty Diffusion](https://colab.research.google.com/github/multimodalart/majesty-diffusion/blob/main/latent.ipynb). If you love your settings, please add yours by going to the `Files and versions` tab and hitting upload.
![How to... |
multimodalart | null | null | null | false | 1 | false | multimodalart/v-majesty-diffusion-settings | 2022-06-09T00:04:20.000Z | null | false | 4ddd995cb15cf69ee154753ceed4433a7d85c977 | [] | [
"license:mit"
] | https://huggingface.co/datasets/multimodalart/v-majesty-diffusion-settings/resolve/main/README.md | ---
license: mit
---
---
license: mit
---
A collection of default settings for the text-to-image model [V-Majesty Diffusion](https://github.com/multimodalart/majesty-diffusion#v-majesty-diffusion-v12). If you love your settings, please add yours by going to the `Files and versions` tab and hitting upload.
![How to uplo... |
Bingsu | null | null | null | false | 89 | false | Bingsu/Human_Action_Recognition | 2022-07-05T02:48:56.000Z | null | false | 6c1a1284eb3557055d7c57b91cd7e68e3252b32c | [] | [
"language:en",
"license:odbl",
"size_categories:10K<n<100K",
"source_datasets:original",
"task_categories:image-classification"
] | https://huggingface.co/datasets/Bingsu/Human_Action_Recognition/resolve/main/README.md | ---
language:
- en
license:
- odbl
pretty_name: Human Action Recognition
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- image-classification
---
## Dataset Description
- **Homepage:** [Human Action Recognition (HAR) Dataset](https://www.kaggle.com/datasets/meetnagadia/human-action-recogni... |
AkaGuda | null | null | null | false | 1 | false | AkaGuda/fate | 2022-06-09T06:51:23.000Z | null | false | e86a47f2f12179b719e73ae853eb4547c40c5cf1 | [] | [
"license:other"
] | https://huggingface.co/datasets/AkaGuda/fate/resolve/main/README.md | ---
license: other
---
|
florentgbelidji | null | null | null | false | 1 | false | florentgbelidji/autotrain-data-quality-customer-reviews | 2022-10-25T10:29:24.000Z | null | false | f46f986fff162cdbfe9f35874a08d9cec2446b6e | [] | [
"language:en",
"task_categories:text-classification"
] | https://huggingface.co/datasets/florentgbelidji/autotrain-data-quality-customer-reviews/resolve/main/README.md | ---
language:
- en
task_categories:
- text-classification
---
# AutoTrain Dataset for project: quality-customer-reviews
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project quality-customer-reviews.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset ... |
null | null | @article{DBLP:journals/corr/HaE17,
author = {David Ha and
Douglas Eck},
title = {A Neural Representation of Sketch Drawings},
journal = {CoRR},
volume = {abs/1704.03477},
year = {2017},
url = {http://arxiv.org/abs/1704.03477},
archivePrefix = {arXiv},
eprint = {1... | The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!.
The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located. | false | 271 | false | quickdraw | 2022-11-03T16:07:43.000Z | quick-draw-dataset | false | bf40ee65c75ffd0261504e559f9d4d71fd692fda | [] | [
"arxiv:1704.03477",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"task_categories:image-classification",
"task_ids:multi-class-image-classific... | https://huggingface.co/datasets/quickdraw/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- image-classification
task_ids:
- multi-class-image-classification
paperswithcode_id: quick-draw-... |
scikit-learn | null | null | null | false | 5 | false | scikit-learn/auto-mpg | 2022-06-20T14:33:21.000Z | null | false | e48404f03b314bbd9acca7aaeff55bb86c533a3b | [] | [] | https://huggingface.co/datasets/scikit-learn/auto-mpg/resolve/main/README.md | ## Auto Miles per Gallon (MPG) Dataset
Following description was taken from [UCI machine learning repository](https://archive.ics.uci.edu/ml/datasets/auto+mpg).
Source: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistic... |
anton-l | null | null | null | false | 5 | false | anton-l/images | 2022-09-05T16:08:48.000Z | null | false | a0c9094f4ff5841ef6daef20cf62fa9c3e6c3927 | [] | [
"license:apache-2.0"
] | https://huggingface.co/datasets/anton-l/images/resolve/main/README.md | ---
license: apache-2.0
---
|
chradden | null | null | null | false | 2 | false | chradden/face_age | 2022-06-16T15:21:17.000Z | null | false | 00ccd79fc0c83d159cf835b236132f5903ecf6c7 | [] | [] | https://huggingface.co/datasets/chradden/face_age/resolve/main/README.md |
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