id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
bgglue/bgglue | 2023-08-06T15:22:26.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:question-answering",
"task_categories:multiple-choice",
"task_ids:multiple-choice-qa",
"task_ids:named-entity-recognition",
"task_ids:natural-language-inference",
"task_ids:part-of-speech",
"task_ids:sent... | bgglue | The Bulgarian General Language Understanding Evaluation (bgGLUE) benchmark is a collection of resources for
training, evaluating, and analyzing natural language understanding systems in Bulgarian. | @inproceedings{hardalov-etal-2023-bgglue,
title = "{bgGLUE}: A Bulgarian General Language Understanding Evaluation Benchmark",
author = "Hardalov, Momchil and
Atanasova, Pepa and
Mihaylov, Todor and
Angelova, Galia and
Simov, Kiril and
Osenova, Petya and
Sto... | 0 | 84 | 2023-07-08T10:43:00 | ---
task_categories:
- text-classification
- token-classification
- question-answering
- multiple-choice
language:
- bg
pretty_name: Bulgarian GLUE
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
license:
- mit
- cc-by-3.0
- cc-by-sa-4.0
- other
- cc-by-nc-4.0
- cc-by-nc-3.0
task_ids:
- multip... | 11,572 | [
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YaHi/chata_rl_dataset | 2023-09-22T20:13:04.000Z | [
"region:us"
] | YaHi | null | null | 0 | 84 | 2023-09-20T02:12:29 | ---
configs:
- config_name: default
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path: data/train-*
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path: data/test-*
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phongmt184172/python_data_27k | 2023-10-05T02:30:02.000Z | [
"region:us"
] | phongmt184172 | null | null | 0 | 84 | 2023-10-05T02:29:17 | ---
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derek-thomas/dataset-creator-reddit-bestofredditorupdates | 2023-11-02T05:00:10.000Z | [
"region:us"
] | derek-thomas | null | null | 0 | 84 | 2023-10-25T10:40:45 | ---
configs:
- config_name: default
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path: data/train-*
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Chun/dataset | 2021-08-24T08:16:33.000Z | [
"region:us"
] | Chun | null | null | 0 | 83 | 2022-03-02T23:29:22 | A translation dataset between english and traditional chinese
train : 101497 rows
val : 1000 rows
test : 1000 rows
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DrishtiSharma/hi_opus100_processed | 2022-02-09T18:34:07.000Z | [
"region:us"
] | DrishtiSharma | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Fraser/dream-coder | 2022-04-25T10:49:02.000Z | [
"language:en",
"license:mit",
"program-synthesis",
"region:us"
] | Fraser | null | null | 2 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
thumbnail: "https://huggingface.co/datasets/Fraser/dream-coder/resolve/main/img.png"
tags:
- program-synthesis
license: "mit"
datasets:
- program-synthesis
---
# Program Synthesis Data
Generated program synthesis datasets used to train [dreamcoder](https://github.com/ellisk42/ec).
Currently just... | 427 | [
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GEM/ART | 2022-10-24T13:01:25.000Z | [
"task_categories:other",
"annotations_creators:automatically-created",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
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"language:en",
"license:apache-2.0",
"reasoning",
"arxiv:1908.05739",
"arxiv:1906.05317",
"region:us"
] | GEM | the Abductive Natural Language Generation Dataset from AI2 | @InProceedings{anli,
author = {Chandra, Bhagavatula and Ronan, Le Bras and Chaitanya, Malaviya and Keisuke, Sakaguchi and Ari, Holtzman
and Hannah, Rashkin and Doug, Downey and Scott, Wen-tau Yih and Yejin, Choi},
title = {Abductive Commonsense Reasoning},
year = {2020}
} | 3 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- automatically-created
language_creators:
- unknown
language:
- en
license:
- apache-2.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: ART
tags:
- reasoning
---
# Dataset Card for GEM/ART
## Dataset Descr... | 13,478 | [
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GroNLP/ik-nlp-22_transqe | 2022-10-21T08:06:50.000Z | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"annotations_creators:expert-generated",
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"language_creators:machine-generated",
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"language:en... | GroNLP | The e-SNLI dataset extends the Stanford Natural Language Inference Dataset to
include human-annotated natural language explanations of the entailment
relations. This version includes an automatic translation to Dutch and two quality estimation annotations
for each translated field. | @incollection{NIPS2018_8163,
title = {e-SNLI: Natural Language Inference with Natural Language Explanations},
author = {Camburu, Oana-Maria and Rockt\"{a}schel, Tim and Lukasiewicz, Thomas and Blunsom, Phil},
booktitle = {Advances in Neural Information Processing Systems 31},
editor = {S. Bengio and H. Wallach and H. L... | 0 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
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language_creators:
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language:
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license:
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multilinguality:
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HenryAI/KerasCodeExamples.txt | 2021-12-15T15:57:06.000Z | [
"region:us"
] | HenryAI | null | null | 0 | 83 | 2022-03-02T23:29:22 | Keras Code Examples from https://keras.io/examples/ <br />
organized as .txt file for input to this HF tutorial: <br />
https://huggingface.co/blog/how-to-train | 160 | [
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Huertas97/autonlp-data-mami-semeval-20-21 | 2021-10-21T08:03:52.000Z | [
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Jack0508/TED2020_kor | 2021-11-07T19:45:21.000Z | [
"region:us"
] | Jack0508 | null | null | 1 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Jack0508/TED2020_vi | 2021-11-07T19:42:16.000Z | [
"region:us"
] | Jack0508 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Jack0508/TED2020vi_kor | 2021-11-07T17:21:21.000Z | [
"region:us"
] | Jack0508 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Jack0508/test | 2021-11-07T18:03:21.000Z | [
"region:us"
] | Jack0508 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Jack0508/vi-ko-TED-txt | 2021-11-07T18:49:04.000Z | [
"region:us"
] | Jack0508 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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JonathanSum/github-issues | 2021-12-28T12:36:48.000Z | [
"region:us"
] | JonathanSum | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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JonathanSum/sv_corpora_parliament_processed | 2022-02-17T06:48:11.000Z | [
"region:us"
] | JonathanSum | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Langame/waiting-messages | 2021-12-19T08:56:56.000Z | [
"region:us"
] | Langame | null | null | 0 | 83 | 2022-03-02T23:29:22 | # Langame/waiting-messages
Generated using OpenAI GPT-3 davinci-codex based on random initial samples written by a human.
⚠️ The dataset has not been de-duplicated, so there may be duplicates. ⚠️ | 196 | [
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LeverageX/book-summarization | 2022-01-20T23:46:26.000Z | [
"region:us"
] | LeverageX | Korean Book Summarization Data | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Lucylulu/amazon | 2021-12-12T16:21:23.000Z | [
"region:us"
] | Lucylulu | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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LuisG07/es_corpora_parliament_processed | 2022-02-17T23:10:16.000Z | [
"region:us"
] | LuisG07 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Mahalakshmi/ta_lm_processed | 2022-02-06T06:38:15.000Z | [
"region:us"
] | Mahalakshmi | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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NTUYG/RAGTest | 2021-05-02T15:31:15.000Z | [
"region:us"
] | NTUYG | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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NahedAbdelgaber/evaluating-student-writing | 2021-12-30T05:48:09.000Z | [
"region:us"
] | NahedAbdelgaber | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Narsil/image_dummy | 2021-08-26T09:16:29.000Z | [
"region:us"
] | Narsil | \ | \ | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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PaulLerner/triviaqa_splits_for_viquae | 2022-02-22T13:58:30.000Z | [
"region:us"
] | PaulLerner | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
PaulLerner/viquae_wikipedia | 2022-02-18T11:34:47.000Z | [
"region:us"
] | PaulLerner | null | null | 0 | 83 | 2022-03-02T23:29:22 | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-3.0
---
| 74 | [
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PereLluis13/parla_text_corpus | 2022-01-29T02:59:00.000Z | [
"region:us"
] | PereLluis13 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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PlanTL-GOB-ES/cantemist-ner | 2022-11-18T12:08:17.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"language:es",
"license:cc-by-4.0",
"biomedical",
"clinical",
"spanish",
"region:us"
] | PlanTL-GOB-ES | https://temu.bsc.es/cantemist/ | @inproceedings{miranda2020named,
title={Named entity recognition, concept normalization and clinical coding: Overview of the cantemist track for cancer text mining in spanish, corpus, guidelines, methods and results},
author={Miranda-Escalada, A and Farr{\'e}, E and Krallinger, M},
booktitle={Proceedings of the I... | 3 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language:
- es
tags:
- biomedical
- clinical
- spanish
multilinguality:
- monolingual
task_categories:
- token-classification
task_ids:
- named-entity-recognition
license:
- cc-by-4.0
---
# CANTEMIST
## Dataset Description
Manually classified collection of Spanish oncolog... | 6,791 | [
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Sabokou/qg_squad_modified | 2021-12-29T20:46:02.000Z | [
"region:us"
] | Sabokou | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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SaulLu/Natural_Questions_HTML_Toy | 2021-09-17T14:54:03.000Z | [
"region:us"
] | SaulLu | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03793334... |
Serhii/Custom_SQuAD | 2021-09-21T10:47:39.000Z | [
"region:us"
] | Serhii | Shellcode_IA32 is a dataset for shellcode generation from English intents. The shellcodes are compilable on Intel Architecture 32-bits. | @inproceedings{liguori-etal-2021-shellcode,
title = "{S}hellcode{\_}{IA}32: A Dataset for Automatic Shellcode Generation",
author = "Liguori, Pietro and
Al-Hossami, Erfan and
Cotroneo, Domenico and
Natella, Roberto and
Cukic, Bojan and
Shaikh, Samira",
booktitle = "Pro... | 1 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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SetFit/hate_speech18 | 2022-01-19T21:45:35.000Z | [
"region:us"
] | SetFit | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Shushant/ContaminationQA | 2022-01-14T15:46:12.000Z | [
"region:us"
] | Shushant | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Shushant/NepaliSentiment | 2022-01-07T05:12:33.000Z | [
"region:us"
] | Shushant | null | null | 3 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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SoLID/shellcode_i_a32 | 2022-11-17T19:53:43.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:found",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:original",
"language:code",
"language:en",
"licens... | SoLID | Shellcode_IA32 is a dataset for shellcode generation from English intents. The shellcodes are compilable on Intel Architecture 32-bits. | @inproceedings{liguori-etal-2021-shellcode,
title = "{S}hellcode{\_}{IA}32: A Dataset for Automatic Shellcode Generation",
author = "Liguori, Pietro and
Al-Hossami, Erfan and
Cotroneo, Domenico and
Natella, Roberto and
Cukic, Bojan and
Shaikh, Samira",
booktitle = "Pro... | 4 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- found
language:
- code
- en
license:
- gpl-3.0
multilinguality:
- translation
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
paperswithcode_id: shellcode-ia32
---... | 3,407 | [
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SocialGrep/the-2022-trucker-strike-on-reddit | 2022-07-01T18:00:49.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | null | null | 1 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for the-2022-trucker-strike-on-reddit
## Table of Contents
- [Dataset Description](#... | 3,408 | [
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Tevatron/wikipedia-squad-corpus | 2021-09-23T02:17:59.000Z | [
"region:us"
] | Tevatron | 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 Conferenc... | 1 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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TurkuNLP/register_mc4 | 2021-12-27T11:35:12.000Z | [
"region:us"
] | TurkuNLP | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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VadorMazer/skyrimdialogstest | 2021-11-19T00:32:06.000Z | [
"region:us"
] | VadorMazer | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Wikidepia/IndoParaCrawl | 2021-04-13T10:22:22.000Z | [
"region:us"
] | Wikidepia | null | null | 2 | 83 | 2022-03-02T23:29:22 | # IndoParaCrawl
IndoParaCrawl is ParaCrawl v7.1 dataset bulk-translated to Indonesian using Google Translate.
Thanks HuggingFace for providing free storage for datasets <3.
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Yeva/arm-summary | 2023-02-09T08:03:13.000Z | [
"language:hy",
"region:us"
] | Yeva | null | null | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- hy
---
annotations_creators:
- other
language_creators:
- other
languages:
- hy-AM
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: arm-sum
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization | 298 | [
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0.0407409... |
abdusah/masc_dev | 2022-07-01T15:28:05.000Z | [
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language:ar",
"license:cc-by-nc-4.0",
"region:us"
] | abdusah | null | null | 0 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ar
license:
- cc-by-nc-4.0
multilinguality: []
paperswithcode_id: []
pretty_name: 'MASC'
size_categories:
source_datasets: []
task_categories: []
task_ids: []
---
# Dataset Card for MASC: MASSIVE ARABIC SPEECH CORPUS
## Table of Co... | 3,357 | [
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adalbertojunior/MININER | 2022-02-19T01:25:43.000Z | [
"region:us"
] | adalbertojunior | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
albertvillanova/lm_en_dummy0 | 2022-02-02T09:09:43.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/lm_en_dummy1 | 2022-02-02T09:10:11.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03... |
albertvillanova/lm_en_dummy2 | 2022-02-02T08:51:44.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/lm_en_dummy3 | 2022-02-02T08:58:10.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/lm_en_dummy4 | 2022-02-03T06:58:10.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/tests-public-raw-jsonl | 2021-07-28T15:32:34.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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albertvillanova/tmp-tests-zip | 2021-12-08T15:46:56.000Z | [
"region:us"
] | albertvillanova | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
aliabd/crowdsourced-calculator-demo | 2023-04-30T17:10:14.000Z | [
"region:us"
] | aliabd | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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aliabd/hello-world | 2022-01-21T18:44:39.000Z | [
"region:us"
] | aliabd | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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alperiox/autonlp-data-user-review-classification | 2022-10-25T09:07:13.000Z | [
"task_categories:text-classification",
"language:en",
"region:us"
] | alperiox | null | null | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
task_categories:
- text-classification
---
# AutoNLP Dataset for project: user-review-classification
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data... | 1,356 | [
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anuragshas/ha_cc100_processed | 2022-02-03T22:51:56.000Z | [
"region:us"
] | anuragshas | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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corypaik/coda | 2022-10-20T16:57:23.000Z | [
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"arxiv:2110.08182",
"region:us"
] | corypaik | *The Color Dataset* (CoDa) is a probing dataset to evaluate the representation of visual properties in language models. CoDa consists of color distributions for 521 common objects, which are split into 3 groups: Single, Multi, and Any. | @misc{paik2021world,
title={The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color},
author={Cory Paik and Stéphane Aroca-Ouellette and Alessandro Roncone and Katharina Kann},
year={2021},
eprint={2110.08182},
archivePrefix={arXiv},
primaryClass... | 2 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
language:
- en
language_bcp47:
- en-US
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: CoDa
paperswithcode_id: coda
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-scoring
task_ids:
- text-... | 6,098 | [
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damlab/HIV_V3_coreceptor | 2022-02-08T21:09:21.000Z | [
"region:us"
] | damlab | null | null | 0 | 83 | 2022-03-02T23:29:22 | # Dataset Description
## Dataset Summary
This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database.
It contains 2,935 HIV V3 loop protein sequences, which can interact with either CCR5 receptors on T-Cells or CXCR4 receptors on macrophages.
Supported Tasks and Leaderboards: No... | 1,649 | [
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davanstrien/kitten | 2022-01-21T18:05:04.000Z | [
"region:us"
] | davanstrien | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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dcfidalgo/test | 2022-02-17T16:42:36.000Z | [
"region:us"
] | dcfidalgo | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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DFKI-SLT/mobie | 2022-10-24T06:32:09.000Z | [
"task_categories:other",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:de",
"license:cc-by-4.0",
"structure-prediction",
"region:us"
] | DFKI-SLT | MobIE is a German-language dataset which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities. The dataset consists of 3,232 social media texts and traffic reports with 91K tokens, and contains 20.5K annotated entities, 13.1K of which are l... | @inproceedings{hennig-etal-2021-mobie,
title = "{M}ob{IE}: A {G}erman Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain",
author = "Hennig, Leonhard and
Truong, Phuc Tran and
Gabryszak, Aleksandra",
booktitle = "Proceedings of the 17th ... | 0 | 83 | 2022-03-02T23:29:22 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- de
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids:
- named-entity-recognition
paperswithcode_id: mobie
pretty_name: MobIE
tags:
- structure... | 6,647 | [
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edge2992/github-issues | 2021-12-06T00:58:23.000Z | [
"region:us"
] | edge2992 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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ejjaffe/onion_headlines_2_sources | 2021-10-01T16:54:29.000Z | [
"region:us"
] | ejjaffe | null | null | 1 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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elonmuskceo/wordle | 2022-01-14T12:06:47.000Z | [
"region:us"
] | elonmuskceo | null | null | 1 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0... |
evageon/IADD | 2022-01-29T11:16:17.000Z | [
"license:cc-by-4.0",
"region:us"
] | evageon | null | null | 0 | 83 | 2022-03-02T23:29:22 | ---
license: cc-by-4.0
---
# IADD
IADD is an Integrated Dataset for Arabic Dialect iDentification Dataset. It contains 136,317 texts representing 5 regions (Maghrebi (MGH) , Levantine (LEV), Egypt (EGY) , Iraq (IRQ) and Gulf (GLF)) and 9 countries (Algeria, Morocco, Tunisia, Palestine, Jordan, Syria, Lebanon, Egy... | 2,693 | [
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0.00... |
flax-community/conceptual-12m-mbart-50-multilingual | 2021-07-21T05:25:46.000Z | [
"region:us"
] | flax-community | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0... |
flax-community/conceptual-12m-multilingual-marian-128 | 2021-07-29T15:49:32.000Z | [
"region:us"
] | flax-community | null | null | 0 | 83 | 2022-03-02T23:29:22 | This dataset is created from subset of [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/). The original dataset has 12M captions but this dataset has around 10M image, caption pairs in different languages with 2.5M unique images. This dataset has captions translated from English to Spanish, Germa... | 698 | [
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flax-sentence-embeddings/paws-jsonl | 2021-07-02T10:19:03.000Z | [
"region:us"
] | flax-sentence-embeddings | null | null | 0 | 83 | 2022-03-02T23:29:22 | # Introduction
This dataset is a jsonl format for PAWS dataset from: https://github.com/google-research-datasets/paws. It only contains the `PAWS-Wiki Labeled (Final)` and
`PAWS-Wiki Labeled (Swap-only)` training sections of the original PAWS dataset. Duplicates data are removed.
Each line contains a dict in the foll... | 985 | [
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flexthink/ljspeech | 2022-02-06T00:09:16.000Z | [
"region:us"
] | flexthink | This is a public domain speech dataset consisting of 13,100 short audio
clips of a single speaker reading passages from 7 non-fiction books. A
transcription is provided for each clip. Clips vary in length from 1 to 10
seconds and have a total length of approximately 24 hours. | null | 1 | 83 | 2022-03-02T23:29:22 | # The LJ Speech Dataset
Version 1.0
July 5, 2017
https://keithito.com/LJ-Speech-Dataset
# Overview
This is a public domain speech dataset consisting of 13,100 short audio clips
of a single speaker reading passages from 7 non-fiction books. A transcription
is provided for each clip. Clips vary in length from 1 to 10... | 4,988 | [
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0.0006... |
frtna/sabahaKKarsi | 2022-01-04T07:35:57.000Z | [
"region:us"
] | frtna | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.037... |
geninhu/vi_vivos-cv-tts-fpt_processed | 2022-01-29T03:30:35.000Z | [
"region:us"
] | geninhu | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.0379... |
ghomasHudson/character_id | 2022-01-13T23:29:38.000Z | [
"region:us"
] | ghomasHudson | The character types identification dataset consists of movie
scripts annotated with character archetypes (Hero, Villain, Mentor, etc.). | \ | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03793334... |
gj1997/trial | 2022-02-23T05:29:09.000Z | [
"region:us"
] | gj1997 | null | null | 0 | 83 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03793334... |
huggingartists/aimer | 2022-10-25T09:22:51.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/aimer"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to us... | 7,140 | [
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huggingartists/ariana-grande | 2022-10-25T09:23:36.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/ariana-grande"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [H... | 7,202 | [
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huggingartists/ghostmane | 2022-10-25T09:30:32.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/ghostmane"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How t... | 7,162 | [
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huggingartists/kojey-radical | 2022-10-25T09:34:00.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 1 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/kojey-radical"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [H... | 7,202 | [
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huggingartists/miyagi | 2022-10-25T09:39:13.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/miyagi"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to u... | 7,146 | [
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huggingartists/slava-kpss | 2022-10-25T09:44:55.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 1 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/slava-kpss"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How ... | 7,190 | [
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huggingartists/sugar-ray | 2022-10-25T09:45:22.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/sugar-ray"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How t... | 6,713 | [
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huggingartists/sum-41 | 2022-10-25T09:45:34.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/sum-41"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to u... | 7,146 | [
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huggingartists/the-beatles | 2022-10-25T09:46:31.000Z | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | huggingartists | This dataset is designed to generate lyrics with HuggingArtists. | @InProceedings{huggingartists:dataset,
title = {Lyrics dataset},
author={Aleksey Korshuk
},
year={2021}
} | 0 | 83 | 2022-03-02T23:29:22 | ---
language:
- en
tags:
- huggingartists
- lyrics
---
# Dataset Card for "huggingartists/the-beatles"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How... | 7,185 | [
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Gxg/Math23K | 2022-10-06T05:21:22.000Z | [
"region:us"
] | Gxg | null | null | 14 | 83 | 2022-10-06T05:16:18 | Entry not found | 15 | [
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keremberke/smoke-object-detection | 2023-01-04T20:54:45.000Z | [
"task_categories:object-detection",
"roboflow",
"region:us"
] | keremberke | null | @misc{ smoke100-uwe4t_dataset,
title = { Smoke100 Dataset },
type = { Open Source Dataset },
author = { Smoke Detection },
howpublished = { \\url{ https://universe.roboflow.com/smoke-detection/smoke100-uwe4t } },
url = { https://universe.roboflow.com/smoke-detection/smoke100-uwe4t },
journal = {... | 2 | 83 | 2023-01-04T20:41:37 | ---
task_categories:
- object-detection
tags:
- roboflow
---
### Roboflow Dataset Page
https://universe.roboflow.com/smoke-detection/smoke100-uwe4t/dataset/4
### Dataset Labels
```
['smoke']
```
### Citation
```
@misc{ smoke100-uwe4t_dataset,
title = { Smoke100 Dataset },
type = { Open Source Dataset },
... | 1,062 | [
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danielpark/MQuAD-v1 | 2023-04-07T12:21:48.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"language:ko",
"license:apache-2.0",
"biology",
"region:us"
] | danielpark | null | null | 2 | 83 | 2023-04-06T06:31:15 | ---
license: apache-2.0
task_categories:
- question-answering
- text-generation
language:
- en
- ko
tags:
- biology
pretty_name: Medical domain QA dataset for training a medical chatbot.
---
# MQuAD
The Medical Question and Answering dataset(MQuAD) has been refined, including the following datasets. You can download i... | 1,150 | [
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camel-ai/biology | 2023-05-23T21:11:56.000Z | [
"task_categories:text-generation",
"language:en",
"license:cc-by-nc-4.0",
"instruction-finetuning",
"arxiv:2303.17760",
"region:us"
] | camel-ai | null | null | 17 | 83 | 2023-04-16T01:30:03 | ---
license: cc-by-nc-4.0
language:
- en
tags:
- instruction-finetuning
pretty_name: CAMEL Biology
task_categories:
- text-generation
arxiv: 2303.17760
extra_gated_prompt: "By using this data, you acknowledge and agree to utilize it solely for research purposes, recognizing that the dataset may contain inaccuracies due... | 2,116 | [
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sam-mosaic/full-hh-rlhf-chatml | 2023-07-18T00:28:22.000Z | [
"language:en",
"region:us"
] | sam-mosaic | null | null | 2 | 83 | 2023-04-26T00:27:24 | ---
language: en
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
splits:
- name: train
num_bytes: 155301546
num_examples: 147351
- name: test
num_bytes: 16963667
num_examples: 16255
download_size: 68690705
dataset_size: 172265213
---
# Dataset ... | 490 | [
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opentensor/openvalidators | 2023-09-25T14:03:34.000Z | [
"size_categories:1M<n<10M",
"license:mit",
"region:us"
] | opentensor | null | null | 6 | 83 | 2023-06-15T15:29:34 | ---
license: mit
viewer: False
size_categories:
- 1M<n<10M
---
# Dataset Card for Openvalidators dataset
## Dataset Description
- **Repository:** https://github.com/opentensor/validators
- **Homepage:** https://bittensor.com/
### Dataset Summary
The OpenValidators dataset, created by the OpenTensor Foundation, is ... | 9,522 | [
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Jumtra/jglue_jsquads_with_input | 2023-06-21T00:25:40.000Z | [
"region:us"
] | Jumtra | null | null | 0 | 83 | 2023-06-21T00:25:38 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 44660349
num_examples: 67301
download_size: 8923113
dataset_size: 44660349
---
# Dataset Card for "jglue_jsquads_with_input"
[More ... | 445 | [
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zzliang/GRIT | 2023-07-04T06:40:28.000Z | [
"task_categories:text-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:zero-shot-classification",
"task_ids:image-captioning",
"task_ids:visual-question-answering",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"source_datasets:COYO-700M"... | zzliang | null | null | 61 | 83 | 2023-07-04T03:33:28 | ---
license: ms-pl
language:
- en
multilinguality:
- monolingual
pretty_name: GRIT
size_categories:
- 100M<n<1B
source_datasets:
- COYO-700M
tags:
- image-text-bounding-box pairs
- image-text pairs
task_categories:
- text-to-image
- image-to-text
- object-detection
- zero-shot-classification
task_ids:
- image-captionin... | 5,394 | [
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yzhuang/autotree_automl_100000_electricity_sgosdt_l256_dim7_d3_sd0 | 2023-09-07T21:52:00.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 83 | 2023-09-07T21:51:32 | ---
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... | 852 | [
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longhoang06/text-recognition | 2023-09-30T15:08:12.000Z | [
"region:us"
] | longhoang06 | null | null | 0 | 83 | 2023-09-30T15:03:06 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 6858787617.0
num_examples: 100000
download_size: 6858941356
dataset_size: 6858787617.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
--... | 492 | [
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kye/metamath-mistal-tokenized-16384 | 2023-10-05T18:28:20.000Z | [
"region:us"
] | kye | null | null | 1 | 83 | 2023-10-05T18:27:24 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 485833040
num_examples: 5930
download_size: 131269443
dataset_size: 485833040
---
# Dataset Card for "metamath-mistal-tokenized-16384"
[More Information nee... | 430 | [
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Fraser/mnist-text-default | 2021-02-22T10:48:20.000Z | [
"region:us"
] | Fraser | MNIST dataset adapted to a text-based representation.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel into one of 64 characters.
Every sample has an up & down version to encourage t... | @dataset{dataset,
author = {Fraser Greenlee},
year = {2021},
month = {1},
pages = {},
title = {MNIST text dataset.},
doi = {}
} | 0 | 82 | 2022-03-02T23:29:22 | MNIST dataset adapted to a text-based representation.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel into one of 64 characters.
Every sample has an up & down version to encourage t... | 2,412 | [
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GEM/SciDuet | 2022-10-24T15:30:06.000Z | [
"task_categories:other",
"annotations_creators:none",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"text-to-slide",
"region:us"
] | GEM | SciDuet is the first publicaly available dataset for the challenging task of document2slides generation,
The dataset integrated into GEM is the ACL portion of the whole dataset described in "https://aclanthology.org/2021.naacl-main.111.pdf".
It contains the full Dev and Test sets, and a portion of the Train dataset.
W... | @inproceedings{sun-etal-2021-d2s,
title = "{D}2{S}: Document-to-Slide Generation Via Query-Based Text Summarization",
author = "Sun, Edward and
Hou, Yufang and
Wang, Dakuo and
Zhang, Yunfeng and
Wang, Nancy X. R.",
booktitle = "Proceedings of the 2021 Conference of the North Amer... | 1 | 82 | 2022-03-02T23:29:22 | ---
annotations_creators:
- none
language_creators:
- unknown
language:
- en
license:
- apache-2.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: SciDuet
tags:
- text-to-slide
---
# Dataset Card for GEM/SciDuet
## Dataset Descriptio... | 14,553 | [
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HenryAI/KerasBERTv1-Data | 2021-12-15T16:05:48.000Z | [
"region:us"
] | HenryAI | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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Iskaj/dutch_corpora_parliament_processed | 2022-01-27T11:42:10.000Z | [
"region:us"
] | Iskaj | null | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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KTH/nst | 2023-09-05T14:29:06.000Z | [
"task_categories:automatic-speech-recognition",
"language:sv",
"license:cc0-1.0",
"region:us"
] | KTH | This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in a... | null | 0 | 82 | 2022-03-02T23:29:22 | ---
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- sv
---
# NST Swedish ASR Database (16 kHz) – reorganized
This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of th... | 1,434 | [
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Karavet/ARPA-Armenian-Paraphrase-Corpus | 2022-10-21T16:04:07.000Z | [
"multilinguality:monolingual",
"language:hy",
"arxiv:2009.12615",
"region:us"
] | Karavet | null | null | 0 | 82 | 2022-03-02T23:29:22 | ---
language:
- hy
task_categories: [paraphrase, paraphrase detection]
multilinguality: [monolingual]
task_ids: [paraphrase, paraphrase detection]
---
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structur... | 2,764 | [
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LeverageX/klue-mrc | 2022-01-12T05:01:00.000Z | [
"region:us"
] | LeverageX | Klue Machine Reading Comprehension Data | null | 0 | 82 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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-0.0350341796875,
0.046478271484375,
0.052490234375,
0.00507354736328125,
0.051361083984375,
0.0170135498046875,
-0.052093505859375,
-0.01497650146484375,
-0.0604248046875,
0.0379028... |
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