author stringlengths 2 29 ⌀ | cardData null | citation stringlengths 0 9.58k ⌀ | description stringlengths 0 5.93k ⌀ | disabled bool 1
class | downloads float64 1 1M ⌀ | gated bool 2
classes | id stringlengths 2 108 | lastModified stringlengths 24 24 | paperswithcode_id stringlengths 2 45 ⌀ | private bool 2
classes | sha stringlengths 40 40 | siblings list | tags list | readme_url stringlengths 57 163 | readme stringlengths 0 977k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Intel | null | null | null | false | 325 | false | Intel/WEC-Eng | 2021-10-04T11:21:48.000Z | null | false | e9a0f74a6fc2ec7a12ce66299dcffc693d2bf0d9 | [] | [] | https://huggingface.co/datasets/Intel/WEC-Eng/resolve/main/README.md | # WEC-Eng
A large-scale dataset for cross-document event coreference extracted from English Wikipedia. </br>
- **Repository (Code for generating WEC):** https://github.com/AlonEirew/extract-wec
- **Paper:** https://aclanthology.org/2021.naacl-main.198/
### Languages
English
## Load Dataset
You can read in WEC-Eng f... |
IsaacBot | null | null | null | false | 325 | false | IsaacBot/GP-Sentiment | 2022-02-22T18:15:59.000Z | null | false | e78032a21bfce3b9acc3a031df23cf27540353ae | [] | [] | https://huggingface.co/datasets/IsaacBot/GP-Sentiment/resolve/main/README.md | # Dataset for sentiment analysis on Google Play Store Reviews
* Source: https://www.kaggle.com/prakharrathi25/google-play-store-reviews
* Processing script in colab: https://colab.research.google.com/drive/1opH2Z1JWgS5_HoQrDPdgS1s8hJT31fnP?usp=sharing
### Data Fields
| Column Name | Description |
| --- | --- |
| con... |
JIsanan | null | null | null | false | 325 | false | JIsanan/war-ceb-wikipedia | 2021-10-24T01:48:04.000Z | null | false | dad97e25cbb6fdbcf419d63d1bdbfa998978da60 | [] | [] | https://huggingface.co/datasets/JIsanan/war-ceb-wikipedia/resolve/main/README.md | annotations_creators: []
language_creators:
- found
languages:
- war, ceb
licenses: []
multilinguality:
- multilingual
pretty_name: Waray Cebu Wikipedia
size_categories:
- unknown
source_datasets: []
task_categories: []
task_ids: [] |
Jean-Baptiste | null | null | null | false | 493 | false | Jean-Baptiste/wikiner_fr | 2022-10-18T17:55:07.000Z | null | false | 2638ba91aa9e3d571bc3631f39d82f56ca0a5023 | [] | [
"language:fr"
] | https://huggingface.co/datasets/Jean-Baptiste/wikiner_fr/resolve/main/README.md | ---
language:
- fr
dataset_info:
features:
- name: id
dtype: int64
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
0: O
1: LOC
2: PER
3: MISC
4: ORG
splits:
- name: test
num_bytes: 5954708
num_... |
Jeska | null | null | null | false | 325 | false | Jeska/autonlp-data-vaccinfaq | 2021-10-19T12:06:57.000Z | null | false | 52f7ea4aeefd5312b1e5d9cf7abb660594441e18 | [] | [
"task_categories:text-classification"
] | https://huggingface.co/datasets/Jeska/autonlp-data-vaccinfaq/resolve/main/README.md | ---
task_categories:
- text-classification
---
# AutoNLP Dataset for project: vaccinfaq
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#dat... |
KBLab | null | \ | \ | false | 5,436 | false | KBLab/overlim | 2022-10-25T06:13:06.000Z | null | false | 452e8b3b1104da9e0ee724bc90beaee7de704be6 | [] | [
"annotations_creators:other",
"language_creators:other",
"language:sv",
"language:da",
"language:nb",
"license:cc-by-4.0",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:extended|glue",
"source_datasets:extended|super_glue",
"task_categories:text-classification",
"t... | https://huggingface.co/datasets/KBLab/overlim/resolve/main/README.md | ---
annotations_creators:
- other
language_creators:
- other
language:
- sv
- da
- nb
license:
- cc-by-4.0
multilinguality:
- translation
size_categories:
- unknown
source_datasets:
- extended|glue
- extended|super_glue
task_categories:
- text-classification
task_ids:
- natural-language-inference
- semantic-similarity-... |
KBLab | null | @article{gustafson2006documentation,
title={Documentation of the Stockholm-Ume{\aa} Corpus},
author={Gustafson-Capkov{\'a}, Sofia and Hartmann, Britt},
journal={Stockholm University: Department of Linguistics},
year={2006}
} | The dataset is a conversion of the venerable SUC 3.0 dataset into the
huggingface ecosystem. The original dataset does not contain an official
train-dev-test split, which is introduced here; the tag distribution for the
NER tags between the three splits is mostly the same.
The dataset has three... | false | 1,125 | false | KBLab/sucx3_ner | 2022-10-25T06:13:36.000Z | null | false | 96acc4fd6dad4b6f9a133cca1efa4dedb07a8b99 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:sv",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:other",
"task_ids:named-entity-recognition",
"task_ids:part-of-speech",
"tags:structure-p... | https://huggingface.co/datasets/KBLab/sucx3_ner/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- sv
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids:
- named-entity-recognition
- part-of-speech
pretty_name: sucx3_ner
tags:
- structure-predic... |
KETI-AIR | null | @misc{park2021klue,
title={KLUE: Korean Language Understanding Evaluation},
author={Sungjoon Park and Jihyung Moon and Sungdong Kim and Won Ik Cho and Jiyoon Han and Jangwon Park and Chisung Song and Junseong Kim and Yongsook Song and Taehwan Oh and Joohong Lee and Juhyun Oh and Sungwon Lyu and Younghoon J... | null | false | 2,054 | false | KETI-AIR/klue | 2021-06-03T00:35:30.000Z | null | false | 49823f8eccb27f84b24a22550d253027acd36285 | [] | [] | https://huggingface.co/datasets/KETI-AIR/klue/resolve/main/README.md | <!--
Copyright 2021 san kim
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... |
KETI-AIR | null | @article{DBLP:journals/corr/abs-1909-07005,
author = {Seungyoung Lim and
Myungji Kim and
Jooyoul Lee},
title = {KorQuAD1.0: Korean {QA} Dataset for Machine Reading Comprehension},
journal = {CoRR},
volume = {abs/1909.07005},
year = {2019},
url = {http://a... | KorQuAD1.0 | false | 1,218 | false | KETI-AIR/korquad | 2021-06-03T00:37:09.000Z | null | false | 4fa57a61a3fb698db245cf463ab777c56e281aac | [] | [] | https://huggingface.co/datasets/KETI-AIR/korquad/resolve/main/README.md | <!--
Copyright 2021 san kim
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... |
KETI-AIR | null | Description is **formatted** as markdown.
It should also contain any processing which has been applied (if any),
(e.g. corrupted example skipped, images cropped,...): | false | 170 | false | KETI-AIR/nikl | 2021-06-08T06:42:34.000Z | null | false | 2c9acc3b070e6888337eacb0057f25571b78ca1c | [] | [] | https://huggingface.co/datasets/KETI-AIR/nikl/resolve/main/README.md | <!--
Copyright 2021 san kim
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, softw... | |
KTH | null | null | null | false | 328 | false | KTH/martin | 2022-01-31T11:59:02.000Z | null | false | 4bdc0e31c0ff5945a99a54e5868628cdb49695c6 | [] | [] | https://huggingface.co/datasets/KTH/martin/resolve/main/README.md | hello
|
KTH | null | null | 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... | false | 328 | false | KTH/nst | 2022-02-14T15:17:03.000Z | null | false | 6d8566eda555476bbe1a29df906de3ec264a3e1f | [] | [] | https://huggingface.co/datasets/KTH/nst/resolve/main/README.md | # 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 the data have been altered to improve the usefulness of the database.
In the original ver... |
KTH | null | null | Speechdat dataset | false | 327 | false | KTH/speechdat | 2022-02-07T10:41:34.000Z | null | false | a41517588544f0d240f449cd4fc205a7aa0a5341 | [] | [] | https://huggingface.co/datasets/KTH/speechdat/resolve/main/README.md | # Speechdat
Speechdat dataset
## Loading the dataset
You need to download the dataset from another folder. We assume the wav files are located inside a /wav folder inside speechdat.
```
from datasets import load_dataset
speechdat = load_dataset("./speechdat", split="train", data_dir="./speechdat/wav")
```
|
KTH | null | @article{bertenstam1995spoken,
title={Spoken dialogue data collected in the {W}axholm project},
author={Bertenstam, Johan and Blomberg, Mats and Carlson, Rolf and Elenius, Kjell and Granstr{\"o}m, Bj{\"o}rn and Gustafson, Joakim and Hunnicutt, Sheri and H{\"o}gberg, Jesper and Lindell, Roger and Neovius, Lennart an... | The Waxholm corpus was collected in 1993 - 1994 at the department of Speech, Hearing and Music (TMH), KTH. | false | 169 | false | KTH/waxholm | 2022-04-29T12:26:10.000Z | null | false | c75d108c8b00d034cdfa7e460a398969e797eb3d | [] | [] | https://huggingface.co/datasets/KTH/waxholm/resolve/main/README.md | # THE WAXHOLM CORPUS
The Waxholm corpus was collected in 1993 - 1994 at the department of
Speech, Hearing and Music (TMH), KTH. It is described in several
publications. Two are included in this archive. Publication of work
using the Waxholm corpus should refer to either of these. More
information on the Waxholm projec... |
Karavet | null | null | null | false | 328 | false | Karavet/ARPA-Armenian-Paraphrase-Corpus | 2022-10-21T16:04:07.000Z | null | false | 87abd6f78c76155c23440a92131e1b264a8cb703 | [] | [
"arxiv:2009.12615",
"language:hy",
"multilinguality:monolingual",
"task_ids:paraphrase",
"task_ids:paraphrase detection"
] | https://huggingface.co/datasets/Karavet/ARPA-Armenian-Paraphrase-Corpus/resolve/main/README.md | ---
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... |
Karavet | null | null | null | false | 329 | false | Karavet/ILUR-news-text-classification-corpus | 2022-10-21T16:06:12.000Z | null | false | 2fda001dd651936d4ec71e9a6c9a6b828d752f3c | [] | [
"language:hy",
"task_categories:text-classification",
"multilinguality:monolingual",
"task_ids:news-classification",
"task_ids:text-classification",
"license:apache-2.0"
] | https://huggingface.co/datasets/Karavet/ILUR-news-text-classification-corpus/resolve/main/README.md | ---
language:
- hy
task_categories: [news-classification, text-classification]
multilinguality: [monolingual]
task_ids: [news-classification, text-classification]
license:
- apache-2.0
---
## Table of Contents
- [Table of Contents](#table-of-contents)
- [News Texts Dataset](#news-texts-dataset)
## News Texts Dataset
... |
Karavet | null | null | null | false | 168 | false | Karavet/pioNER-Armenian-Named-Entity | 2022-10-21T16:07:06.000Z | null | false | 9da1a1172d636aedfffa1dc60a165ee40ab378d5 | [] | [
"language:hy",
"multilinguality:monolingual",
"task_ids:named-entity-recognition",
"license:apache-2.0"
] | https://huggingface.co/datasets/Karavet/pioNER-Armenian-Named-Entity/resolve/main/README.md | ---
language: [hy]
task_categories: [named-entity-recognition]
multilinguality: [monolingual]
task_ids: [named-entity-recognition]
license: [apache-2.0]
---
## Table of Contents
- [Table of Contents](#table-of-contents)
- [pioNER - named entity annotated datasets](#pioNER---named-entity-annotated-datasets)
- [Silver-... |
Khanoooo | null | null | null | false | 324 | false | Khanoooo/autonlp-data-Corona | 2021-08-08T19:59:14.000Z | null | false | 9320eb29c41bba15f779dd34df65c0f2c2f9d009 | [] | [] | https://huggingface.co/datasets/Khanoooo/autonlp-data-Corona/resolve/main/README.md | It's all about Corona |
Kili | null | null | This dataset contains photos of rivers on which there may be waste. The waste items are annotated
through bounding boxes, and are assigned to one of the 4 following categories: plastic bottle, plastic bag,
another plastic waste, or non-plastic waste. Note that some photos may not contain any waste. | false | 185 | false | Kili/plastic_in_river | 2022-10-21T07:13:58.000Z | null | false | f5f200ae1b3593972a8ea288347be6840f62315e | [] | [
"size_categories:1K<n<10K",
"source_datasets:original",
"task_categories:object-detection",
"tags:other-object-detection"
] | https://huggingface.co/datasets/Kili/plastic_in_river/resolve/main/README.md | ---
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- object-detection
task_ids: []
pretty_name: Plastic in river
tags:
- other-object-detection
---
# Plastic in river
This dataset is an export of the annotated assets from the [Kili's Community Challenge - Plastic in River dataset](https://kili... |
Kira-Asimov | null | null | null | false | 329 | false | Kira-Asimov/gender_clinical_trial | 2022-02-10T10:16:03.000Z | null | false | a4ef816d07e521ba508071a8eec018d2432a4e6a | [] | [] | https://huggingface.co/datasets/Kira-Asimov/gender_clinical_trial/resolve/main/README.md | # Gender classification from Clinical Trial Public Data
|
LIAMF-USP | null | null | A combined ARC/ARC-Easy/OBQA/RegLivEnv train/dev/test sets,
along with associated retrieved contexts from the full corpus.
The "para" field for each answer choice is the retrieved context,
typically 10 sentences ordered such that the one with highest IR
score comes last | false | 326 | false | LIAMF-USP/arc-retrieval-c4 | 2021-06-05T04:17:21.000Z | null | false | 8d01c039de110c9080f0bc578d00202da40fb85c | [] | [] | https://huggingface.co/datasets/LIAMF-USP/arc-retrieval-c4/resolve/main/README.md | hello
|
Langame | null | null | null | false | 323 | false | Langame/waiting-messages | 2021-12-19T08:56:56.000Z | null | false | 1e2b7a01de75da09087b4629d79b07a868763154 | [] | [] | https://huggingface.co/datasets/Langame/waiting-messages/resolve/main/README.md | # 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. ⚠️ |
Language | null | null | null | false | 325 | false | Language/Fren | 2022-01-29T15:35:34.000Z | null | false | 7b843a537d05ffabc3e03eb6c638f1ee84f701be | [] | [] | https://huggingface.co/datasets/Language/Fren/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- fr
licenses:
- apache-2.0
multilinguity:
-monolingual
size_categories:
- 110K<n<1M
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization
--- |
LeoCordoba | null | null | false | 396 | false | LeoCordoba/CC-NEWS-ES-titles | 2022-07-31T21:58:02.000Z | null | false | cf72f8a5c01ecc63d7702adc04172c6be98171c3 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:es",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:cc-news",
"task_ids:summarization"
] | https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES-titles/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- es
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- cc-news
task_categories:
- conditional-text-generation
task_ids:
- summarization
---
# Dataset Card for CC-NEWS-ES-titles
## Table of Conten... | |
LeoCordoba | null | null | false | 3,312 | false | LeoCordoba/CC-NEWS-ES | 2022-08-13T21:45:22.000Z | null | false | a3c28c01012efcb68a0ed5a2f0f7d412b7e47929 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:es",
"license:mit",
"multilinguality:monolingual",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"size_categories:1M<n<10M",
"source_datasets:cc-news",
"t... | https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- es
license:
- mit
multilinguality:
- monolingual
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
- 1M<n<10M
source_datasets:
- cc-news
task_categories:
- conditional-text-generation
task_ids:
- summarization
---
# Dataset Card... | |
Linda | null | null | null | false | 169 | false | Linda/test1111 | 2021-11-11T07:08:48.000Z | null | false | 7e0cd74e251f8e26317487dfb9304b94926840ea | [] | [] | https://huggingface.co/datasets/Linda/test1111/resolve/main/README.md | dataset card |
Llamacha | null | null | null | false | 329 | false | Llamacha/monolingual-quechua-iic | 2022-10-02T14:40:00.000Z | null | false | db42e5b3fc768e45fb1376dce4367f8f692143cf | [] | [
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language:qu",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:1M<n<5M",
"source_datasets:original",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling"
] | https://huggingface.co/datasets/Llamacha/monolingual-quechua-iic/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- qu
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1M<n<5M
source_datasets:
- original
task_categories:
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
---
# Dataset Card for Monolingual... |
LoganKells | null | null | null | false | 331 | false | LoganKells/amazon_product_reviews_video_games | 2021-12-07T01:42:37.000Z | null | false | b947ddc419921265fe8ba8aba625102e4efbe63b | [] | [] | https://huggingface.co/datasets/LoganKells/amazon_product_reviews_video_games/resolve/main/README.md | #Title |
MBAH | null | null | null | false | 169 | false | MBAH/MOVIESON | 2021-09-18T00:04:34.000Z | null | false | f70ba107784a66526d326cf1c82bb90bf6c8034a | [] | [] | https://huggingface.co/datasets/MBAH/MOVIESON/resolve/main/README.md | https://mahoningmed.org/docs/123movies-watch-after-we-fell-2021-hd-full-movie-online-free/
https://mahoningmed.org/docs/123movies-watch-cinderella-2021-hd-full-movie-online-free/
https://mahoningmed.org/docs/123movies-watch-cryptozoo-2021full-movie-hd-free/
https://mahoningmed.org/docs/123movieswatch-breathless-2021hd-... |
MKK | null | null | null | false | 168 | false | MKK/Dhivehi-English | 2021-05-20T10:50:53.000Z | null | false | 451cf78d644e7480ec0bdea292e4191316af6ac5 | [] | [] | https://huggingface.co/datasets/MKK/Dhivehi-English/resolve/main/README.md | |
Mansooreh | null | null | null | false | 325 | false | Mansooreh/sharif-emotional-speech-dataset | 2021-10-19T23:33:59.000Z | null | false | 77ec81315e332a2c07f8aa0edf6ba4f90883332f | [] | [
"arxiv:1906.01155"
] | https://huggingface.co/datasets/Mansooreh/sharif-emotional-speech-dataset/resolve/main/README.md | # <a href='https://arxiv.org/pdf/1906.01155.pdf'>ShEMO: a large-scale validated database for Persian speech emotion detection</a><br>
## Abstract
<div align="justify"> This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-na... |
Marzipan | null | null | null | false | 168 | false | Marzipan/QA4PC | 2021-11-16T13:45:34.000Z | null | false | 2b1de7c5e588ec70afa1e753394ae25531e0d182 | [] | [] | https://huggingface.co/datasets/Marzipan/QA4PC/resolve/main/README.md | ## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering)
### Train Sets
To create training set or entailment and QA tasks, download the ShARC data from here: https://sharc-data.github.io/data.html. After that, run the script from _create_train_from_sharc.py_, by providing the path to the ShA... |
McGill-NLP | null | null | null | false | 351 | false | McGill-NLP/mlquestions | 2021-11-11T10:01:14.000Z | null | false | 83b690cb666c5a8869e7f213a877bbd24a642d7c | [] | [] | https://huggingface.co/datasets/McGill-NLP/mlquestions/resolve/main/README.md | # Dataset Card for mlquestions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Additional Information](#additional-information)
- [Licensing Inform... |
Melinoe | null | null | null | false | 169 | false | Melinoe/TheLabTexts | 2021-04-08T01:12:21.000Z | null | false | 3a56bc2970eb23e99c364b1225263a1cb7196591 | [] | [] | https://huggingface.co/datasets/Melinoe/TheLabTexts/resolve/main/README.md | |
Motahar | null | null | null | false | 326 | false | Motahar/github-issues | 2022-10-25T09:06:29.000Z | null | false | 6985e32b40b572054e10a143c872272e441929dc | [] | [
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Mulin | null | null | null | false | 326 | false | Mulin/my_third_dataset | 2021-09-19T01:36:15.000Z | null | false | 33aa688c5b795d2d2dee21da2e46490f72e57ceb | [] | [] | https://huggingface.co/datasets/Mulin/my_third_dataset/resolve/main/README.md | My third Dataset
- for wolf classification |
NLPC-UOM | null | null | null | false | 10 | false | NLPC-UOM/Sinhala-Stopword-list | 2022-10-25T10:02:05.000Z | null | false | 2b67ac9bc9ea87a55f2f10b92228691e478f604f | [] | [
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|
NYTK | null | null | null | false | 337 | false | NYTK/HuCOLA | 2022-10-21T16:08:35.000Z | null | false | 9dcca0ab036c8869fb2f8e626916f751f63f61ac | [] | [
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NYTK | null | null | null | false | 329 | false | NYTK/HuCoPA | 2022-10-24T15:19:09.000Z | null | false | d20a70b5fe231b68b702ba1ff600441add7602a4 | [] | [
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# Dataset Card... |
NYTK | null | null | null | false | 329 | false | NYTK/HuRC | 2022-07-07T13:03:49.000Z | null | false | b45ea6dbdec3b8692f02df89e8f943fa8d84e5bf | [] | [
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NYTK | null | null | null | false | 334 | false | NYTK/HuSST | 2022-10-14T06:42:10.000Z | null | false | c94a93604679a73af4d2b07b9b9bb2042709ca4d | [] | [
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NYTK | null | null | null | false | 329 | false | NYTK/HuWNLI | 2022-10-05T12:33:50.000Z | null | false | 8056692437c372bf226132b9d545a71c24b4afaf | [] | [
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Nathanael | null | null | null | false | 168 | false | Nathanael/NPS | 2021-12-17T15:14:19.000Z | null | false | 2c789aab0a4ee94ce96bcb370eca2054d23317ec | [] | [] | https://huggingface.co/datasets/Nathanael/NPS/resolve/main/README.md | TEST |
NbAiLab | null | @inproceedings{kummervold-etal-2021-operationalizing,
title = "Operationalizing a National Digital Library: The Case for a {N}orwegian Transformer Model",
author = "Kummervold, Per E and
De la Rosa, Javier and
Wetjen, Freddy and
Brygfjeld, Svein Arne",
booktitle = "Proceedings of the 23... | \\nNorwegian Colossal Corpus v2. Short sequences of maximum 100k characters. | false | 326 | false | NbAiLab/NCC_small_100 | 2021-12-03T13:32:23.000Z | null | false | 371fbee3ed24e8b9221691555673a5cae3658bc1 | [] | [
"arxiv:2104.09617"
] | https://huggingface.co/datasets/NbAiLab/NCC_small_100/resolve/main/README.md | # Dataset Card for NBAiLab/NCC_small_100
annotations_creators:
- no-annotation
language_creators:
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pretty_name: NCC
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NbAiLab | null | @inproceedings{kummervold-etal-2021-operationalizing,
title = "Operationalizing a National Digital Library: The Case for a {N}orwegian Transformer Model",
author = "Kummervold, Per E and
De la Rosa, Javier and
Wetjen, Freddy and
Brygfjeld, Svein Arne",
booktitle = "Proceedings of the 23... | \\nNorwegian Colossal Corpus v2. Short sequences of maximum 100k characters. | false | 169 | false | NbAiLab/NCC_small_divided | 2021-12-15T12:44:46.000Z | null | false | 2fbd757b4275def2d6d64fbe17229bf3301cb9fc | [] | [
"arxiv:2104.09617"
] | https://huggingface.co/datasets/NbAiLab/NCC_small_divided/resolve/main/README.md | # Dataset Card for NBAiLab/NCC_small_divided
annotations_creators:
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pretty_name: NCC
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task_id... |
NbAiLab | null | @inproceedings{johansen2019ner,
title={},
author={},
booktitle={LREC 2022},
year={2022},
url={https://arxiv.org/abs/}
} | The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models. The corpus is created by Språkbanken at the National Library in Norway.
NPSC is based on sound recording from meeting in the Norwegian Parliament. These talks are orthographically transcribed t... | false | 443 | false | NbAiLab/NPSC | 2022-11-08T08:43:00.000Z | null | false | d4aac5627d019a96bd74022dc1a6f54acfd410c7 | [] | [
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# ... |
NbAiLab | null | null | null | false | 333 | false | NbAiLab/NPSC_test | 2022-11-07T12:37:31.000Z | null | false | 0c85e09ec2892d276417ea695f7a25db525cc687 | [] | [
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"task_categories:audio-classifica... | https://huggingface.co/datasets/NbAiLab/NPSC_test/resolve/main/README.md | ---
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ta... |
NbAiLab | null | null | null | false | 168 | false | NbAiLab/NPSC_test2 | 2022-01-25T08:41:30.000Z | null | false | 6056b7fbaffb506c182df9339639f846c1376bca | [] | [
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] | https://huggingface.co/datasets/NbAiLab/NPSC_test2/resolve/main/README.md | ---
license: cc0-1.0
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|
NbAiLab | null | @inproceedings{kummervold-etal-2021-operationalizing,
title = "Operationalizing a National Digital Library: The Case for a {N}orwegian Transformer Model",
author = "Kummervold, Per E and
De la Rosa, Javier and
Wetjen, Freddy and
Brygfjeld, Svein Arne",
booktitle = "Proceedings of the 23... | \\nNorwegian Colossal Corpus v2. Short sequences of maximum 100k characters. | false | 325 | false | NbAiLab/bokmaal_admin | 2021-11-29T19:52:49.000Z | null | false | 19345428321498f857d936e5ad76bbcfe1c91b8e | [] | [
"arxiv:2104.09617"
] | https://huggingface.co/datasets/NbAiLab/bokmaal_admin/resolve/main/README.md | # Dataset Card for NBAiLab/bokmaal_admin
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Data Fields](#data-fiels)
- [Dataset Creation](#dataset-creation)
- [Statistics](#statistics)
- [Document Types](#document-types)
- [Languages](#languages)
- [Publish Per... |
NbAiLab | null | @InProceedings{OvrMaeBar20,
author = {Lilja {\O}vrelid and Petter M{\ae}hlum and Jeremy Barnes and Erik Velldal},
title = {A Fine-grained Sentiment Dataset for {N}orwegian},
booktitle = {{Proceedings of the 12th Edition of the Language Resources and Evaluation Conference}},
year = 2020,
address = "Marseille, ... | Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian
This dataset was created by the Nordic Language Processing Laboratory by
aggregating the fine-grained annotations in NoReC_fine and removing sentences
with conflicting or no sentiment. | false | 332 | false | NbAiLab/norec_agg | 2022-07-01T19:53:24.000Z | null | false | 539cf25078d1136058e2580552acf5d8b5f26248 | [] | [
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] | https://huggingface.co/datasets/NbAiLab/norec_agg/resolve/main/README.md | ---
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---
# Dataset Card Creation Guide
## Table of C... |
NbAiLab | null | @inproceedings{johansen2019ner,
title={NorNE: Annotating Named Entities for Norwegian},
author={Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg,
Lilja Øvrelid, and Erik Velldal},
booktitle={LREC 2020},
year={2020},
url={https://arxiv.org/abs/1911.12146}
} | NorNE is a manually annotated
corpus of named entities which extends the annotation of the existing
Norwegian Dependency Treebank. Comprising both of the official standards of
written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000
tokens and annotates a rich set of entity types including persons,
or... | false | 171 | false | NbAiLab/norne | 2022-11-07T12:41:46.000Z | null | false | 270602110690593f77f68735c8b17b5a50ce9182 | [] | [
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"task_ids:named-entity-recognition",
"ta... | https://huggingface.co/datasets/NbAiLab/norne/resolve/main/README.md | ---
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- part-of-speech
tags:
- structure-predic... |
NbAiLab | null | @InProceedings{--,
author = {---},
title = {---},
booktitle = {---},
year = 2021,
address = "---"
} | The Norwegian Parliament Speeches is a collection of text passages from
1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members
of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti. | false | 625 | false | NbAiLab/norwegian_parliament | 2022-07-01T19:51:13.000Z | null | false | f7393532774c66312378d30b197610b43d751972 | [] | [
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"task_categories:text-classification"
] | https://huggingface.co/datasets/NbAiLab/norwegian_parliament/resolve/main/README.md | ---
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---
# Dataset Card Creation Guide
## Table of Contents
- [Dataset Description](#dat... |
Niciu | null | null | null | false | 11 | false | Niciu/github-issues | 2022-03-01T13:52:02.000Z | null | false | 5b43dd1c2294a9dcd5e87c40fc75e2638ca7063b | [] | [] | https://huggingface.co/datasets/Niciu/github-issues/resolve/main/README.md | restsfds |
Nuwaisir | null | null | null | false | 326 | false | Nuwaisir/Quran_speech_recognition_kaggle | 2022-02-20T13:07:06.000Z | null | false | 8d1fa0a3369522cb04e3d427293f7b5f48103f94 | [] | [] | https://huggingface.co/datasets/Nuwaisir/Quran_speech_recognition_kaggle/resolve/main/README.md | This dataset can be found in Kaggle |
Omar2027 | null | @article{article,
author = {Salah, Ramzi and Zakaria, Lailatul},
year = {2018},
month = {12},
pages = {},
title = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},
volume = {96},
journal = {Journal of Theoretical and Applied Information Technology}
} | Classical Arabic Named Entity Recognition corpus as a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities. | false | 327 | false | Omar2027/caner_replicate | 2022-01-06T19:23:09.000Z | null | false | b41b654bfc04697b557a73a75ebdb176e69b2eb1 | [] | [] | https://huggingface.co/datasets/Omar2027/caner_replicate/resolve/main/README.md | |
OmarN121 | null | null | null | false | 326 | false | OmarN121/train | 2022-01-03T18:49:44.000Z | null | false | 08e4869ec670f065a83a9b805d5dcfdaddc59f6b | [] | [] | https://huggingface.co/datasets/OmarN121/train/resolve/main/README.md | ---
YAML tags:
- copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summar... |
Paul | null | null | null | false | 348 | false | Paul/hatecheck | 2022-07-05T10:27:25.000Z | null | false | 9d2ac89df04254e5c427bcc8d61b6d6c83a1f59b | [] | [
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"language:en",
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"source_datasets:original",
"task_categories:text-classification",
"task_ids:hate-speech-detection"
] | https://huggingface.co/datasets/Paul/hatecheck/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
language:
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license:
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pretty_name: HateCheck
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- hate-speech-detection
---
# Dataset Card fo... |
PaulLerner | null | null | null | false | 326 | false | PaulLerner/triviaqa_for_viquae | 2022-08-02T08:24:26.000Z | null | false | 14cf38fdcc9469dff7c340e5c5a6385991e6457a | [] | [] | https://huggingface.co/datasets/PaulLerner/triviaqa_for_viquae/resolve/main/README.md | See https://github.com/PaulLerner/ViQuAE
Get the original dataset there: http://nlp.cs.washington.edu/triviaqa/ (or via HF: https://huggingface.co/datasets/trivia_qa) |
PaulLerner | null | null | null | false | 170 | false | PaulLerner/viquae_all_images | 2022-03-10T10:59:10.000Z | null | false | 800a1b34736e3f105621b578e15cc7de2a834eb8 | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/PaulLerner/viquae_all_images/resolve/main/README.md | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
|
PaulLerner | null | null | null | false | 328 | false | PaulLerner/viquae_dataset | 2022-02-15T17:43:12.000Z | null | false | 779bec48cd16da60a0f217c39cb6b57f16cbc06b | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/PaulLerner/viquae_dataset/resolve/main/README.md | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
|
PaulLerner | null | null | null | false | 170 | false | PaulLerner/viquae_images | 2022-02-15T17:29:53.000Z | null | false | 0f9179e71a05d365e485aeefe07f19d041d7e76c | [] | [
"license:cc-by-4.0"
] | https://huggingface.co/datasets/PaulLerner/viquae_images/resolve/main/README.md | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-4.0
---
|
PaulLerner | null | null | null | false | 326 | false | PaulLerner/viquae_wikipedia | 2022-02-18T11:34:47.000Z | null | false | 003b63177d1d4a2865d1e437b7a84817e42bb32d | [] | [
"license:cc-by-3.0"
] | https://huggingface.co/datasets/PaulLerner/viquae_wikipedia/resolve/main/README.md | See https://github.com/PaulLerner/ViQuAE
---
license: cc-by-3.0
---
|
Pengfei | null | null | null | false | 168 | false | Pengfei/asfwe | 2021-12-17T15:39:24.000Z | null | false | fdc70dd1895b8dadc2f3b7fb1fa1ffbc8f3a594e | [] | [] | https://huggingface.co/datasets/Pengfei/asfwe/resolve/main/README.md | |
Pengfei | null | null | null | false | 168 | false | Pengfei/test1 | 2021-11-05T00:46:07.000Z | null | false | bb1d91e8434fb11bbb1006a63af37cf9509f40e2 | [] | [] | https://huggingface.co/datasets/Pengfei/test1/resolve/main/README.md | This is the dataset |
Perkhad | null | null | null | false | 326 | false | Perkhad/corejur | 2022-02-18T18:50:16.000Z | null | false | 2c15bd71ed4930b82a5e44d4298aac043d3ed4bc | [] | [] | https://huggingface.co/datasets/Perkhad/corejur/resolve/main/README.md | |
PlanTL-GOB-ES | null | bibtex
@article{DBLP:journals/corr/abs-2107-07253,
author = {Asier Guti{\'{e}}rrez{-}Fandi{\~{n}}o and
Jordi Armengol{-}Estap{\'{e}} and
Marc P{\`{a}}mies and
Joan Llop{-}Palao and
Joaqu{\'{\i}}n Silveira{-}Ocampo and
Casimiro Pio Carrino a... | This dataset contains 6,247 contexts and 18,817 questions with their answers, 1 to 5 for each fragment.
The sources of the contexts are:
* Encyclopedic articles from [Wikipedia in Spanish](https://es.wikipedia.org/), used under [CC-by-sa licence](https://creativecommons.org/licenses/by-sa/3.0/legalcode).
* News fro... | false | 1,481 | false | PlanTL-GOB-ES/SQAC | 2022-11-15T17:38:54.000Z | null | false | ed9ab0023614a38fa56a24e8435bebee44c89a5f | [] | [
"arxiv:1606.05250",
"annotations_creators:expert-generated",
"language_creators:found",
"language:es",
"license:cc-by-sa-4.0",
"multilinguality:monolingual",
"source_datasets:original",
"task_categories:question-answering",
"task_ids:extractive-qa"
] | https://huggingface.co/datasets/PlanTL-GOB-ES/SQAC/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- es
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Spanish Question Answering Corpus (SQAC)
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
---
# SQAC (Spanish Question-A... |
PlanTL-GOB-ES | null | @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... | https://temu.bsc.es/cantemist/ | false | 327 | false | PlanTL-GOB-ES/cantemist-ner | 2022-11-15T17:21:28.000Z | null | false | 638ae52b06a1f4865f0871e926dac80f256e99c0 | [] | [
"annotations_creators:expert-generated",
"language:es",
"tags:biomedical",
"tags:clinical",
"tags:spanish",
"multilinguality:monolingual",
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/PlanTL-GOB-ES/cantemist-ner/resolve/main/README.md | ---
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... |
PlanTL-GOB-ES | null | @inproceedings{,
title = "PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track",
author = "Gonzalez-Agirre, Aitor and
Marimon, Montserrat and
Intxaurrondo, Ander and
Rabal, Obdulia and
Villegas, Marta and
Krallinger, Martin",
bookt... | PharmaCoNER: Pharmacological Substances, Compounds and Proteins Named Entity Recognition track
This dataset is designed for the PharmaCoNER task, sponsored by Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
It is a manually classified collection of clinical case studies derived from the Spanish Clinical Ca... | false | 327 | false | PlanTL-GOB-ES/pharmaconer | 2022-11-15T17:26:06.000Z | null | false | 4f66fa490cec2891acc48120aa9d6493695f29db | [] | [
"annotations_creators:expert-generated",
"language:es",
"tags:biomedical",
"tags:clinical",
"tags:spanish",
"multilinguality:monolingual",
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"license:cc-by-4.0"
] | https://huggingface.co/datasets/PlanTL-GOB-ES/pharmaconer/resolve/main/README.md | ---
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
---
# PharmaCoNER
## Dataset Description
Manually classified collection of Spanish clini... |
Pratik | null | null | null | false | 169 | false | Pratik/Gujarati_OpenSLR | 2021-11-17T13:36:56.000Z | null | false | 3214aea668533584604213ce045faf6c31886643 | [] | [] | https://huggingface.co/datasets/Pratik/Gujarati_OpenSLR/resolve/main/README.md | OpenSLR is a site devoted to hosting speech and language resources,
such as training corpora for speech recognition, and software related to speech recognition.
They intend to be a convenient place for anyone to put resources that they have created,
so that they can be downloaded publicly.
They aim to provide a centr... |
R0bk | null | null | null | false | 247 | false | R0bk/XFUN | 2022-01-31T06:08:56.000Z | null | false | 708721f0ad522e24f7368c0d48c37805d0ae0cf9 | [] | [
"license:mit"
] | https://huggingface.co/datasets/R0bk/XFUN/resolve/main/README.md | ---
license: mit
---
|
Remesita | null | null | null | false | 166 | false | Remesita/tagged_reviews | 2021-05-14T18:30:40.000Z | null | false | a37d1785aad5cf8d0013022b664ed1c47eb67a4e | [] | [] | https://huggingface.co/datasets/Remesita/tagged_reviews/resolve/main/README.md | |
RohanAiLab | null | https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
} | persian_blog is a dataset consist of 400K blog posts from various websites and has types of tones.
this dataset can be used in different NLG tasks and as a show-case it's is used in training reformer-persian. | false | 324 | false | RohanAiLab/persian_blog | 2022-10-25T09:06:36.000Z | null | false | c81e931641843d953dc134ae4bcfc27866710dd2 | [] | [
"language:fa",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/RohanAiLab/persian_blog/resolve/main/README.md | ---
language:
- fa
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: persian_blog
---
# Persian Blog
# Dataset Summary
persian_news_dataset is a collection of 400k blog posts. these posts have been gathered from more than 10 websites. This dataset can be used i... |
RohanAiLab | null | https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
} | Persian Daily News dataset is a collection of 2 million news articles with the headline of each news article.
This dataset contains news articles and their summaries for the last 10 years.
This dataset is provided by Rohan AI lab for research purposes. | false | 323 | false | RohanAiLab/persian_daily_news | 2022-10-21T16:13:09.000Z | null | false | 234cb96c879728e1cd24fbc535da0bef6098322b | [] | [
"language:fa",
"source_datasets:original"
] | https://huggingface.co/datasets/RohanAiLab/persian_daily_news/resolve/main/README.md | ---
pretty_name: Persian Daily News
language:
- fa
source_datasets:
- original
task_categories:
- Summarization
- sequence-modeling
---
# Persian Daily News
# Dataset Summary
persian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractiv... |
RohanAiLab | null | https://saied71.github.io/RohanAiLab/,
author={Saied Alimoradi},
year={2021}
} | persian_news_dataset is a collection of 5 million news articles.
News articles have been gathered from more than 10 news agencies for the last 12 years.
The dataset is provided by Rohan AI lab for research purposes.
for more information refer to this link: | false | 329 | false | RohanAiLab/persian_news_dataset | 2022-10-21T16:13:59.000Z | null | false | 883746f06ee0fb9ef98d37721c257d9287f1256e | [] | [
"language:fa",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:language-modeling",
"task_ids:multi-class-classification"
] | https://huggingface.co/datasets/RohanAiLab/persian_news_dataset/resolve/main/README.md | ---
pretty_name: persian_news_datset
language:
- fa
source_datasets:
- original
task_categories:
- text-classification
- sequence-modeling
task_ids:
- language-modeling
- multi-class-classification
---
# Persian_News_Dataset
# Dataset Summary
persian_news_dataset is a collection of 5 million news articles. News art... |
SCourthial | null | null | null | false | 168 | false | SCourthial/test | 2021-06-16T13:54:16.000Z | null | false | aa63f3b5dcbd5b2ec2daa5ecda000e198d90856a | [] | [] | https://huggingface.co/datasets/SCourthial/test/resolve/main/README.md | |
SajjadAyoubi | null | \@misc{PersianQA,
author = {Sajjad Ayoubi, Mohammad Yasin Davoodeh},
title = {PersianQA: a dataset for Persian Question Answering},
year = 2021,
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {url{https://github.com/SajjjadAyobi/PersianQA}... | \\\\\\\Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia.
The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in the passage (the context) from which the ques... | false | 450 | false | SajjadAyoubi/persian_qa | 2021-04-29T06:11:18.000Z | null | false | 5a314e73c690b159983b2e45b9d4c0500a80cfd0 | [] | [] | https://huggingface.co/datasets/SajjadAyoubi/persian_qa/resolve/main/README.md | # PersianQA: a dataset for Persian Question Answering
Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia. The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in... |
Sakonii | null | null | null | false | 21 | false | Sakonii/nepalitext-language-model-dataset | 2022-10-25T06:14:22.000Z | null | false | 78526be8ce25858cf5ce2c4719fd9d7af4d811ad | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language_creators:other",
"language:ne",
"license:cc0-1.0",
"multilinguality:monolingual",
"source_datasets:extended|oscar",
"source_datasets:extended|cc100",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/Sakonii/nepalitext-language-model-dataset/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
- other
language:
- ne
license:
- cc0-1.0
multilinguality:
- monolingual
source_datasets:
- extended|oscar
- extended|cc100
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: nepalitext-language-model-dataset
---
# Dataset ... |
Samip | null | """
# TODO: Add description of the dataset here
# You can copy an official description
_DESCRIPTION = | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 325 | false | Samip/func | 2021-11-15T05:35:47.000Z | null | false | e4b5e7000236325106d5cb9f4d6ed874bbd18976 | [] | [] | https://huggingface.co/datasets/Samip/func/resolve/main/README.md | Hello
|
SaulLu | null | null | null | false | 324 | false | SaulLu/Natural_Questions_HTML | 2021-08-27T18:58:58.000Z | null | false | 2b12fc88f0c661409b85a55136dfd1f030a9cf67 | [] | [] | https://huggingface.co/datasets/SaulLu/Natural_Questions_HTML/resolve/main/README.md | This is a dataset extracted from the Natural Questions dataset
This dataset is currently under development |
SebastianS | null | null | null | false | 322 | false | SebastianS/github-issues | 2022-10-25T09:06:38.000Z | null | false | e73b4ff89f31e0fbbb720aae0d8079bdcdf93d7d | [] | [
"language_creators:crowdsourced",
"language:en-US",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification"
] | https://huggingface.co/datasets/SebastianS/github-issues/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- crowdsourced
language:
- en-US
license: []
multilinguality:
- monolingual
pretty_name: github-issues
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for GitHub Issues
## Dataset Description
this was ... |
SetFit | null | null | null | false | 1,498 | false | SetFit/20_newsgroups | 2022-02-03T08:27:00.000Z | null | false | f1b91292074e7cfb69be58b642d583ec262f30ed | [] | [] | https://huggingface.co/datasets/SetFit/20_newsgroups/resolve/main/README.md | This is a version of the [20 newsgroups dataset](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#the-20-newsgroups-text-dataset) that is provided in Scikit-learn. From the Scikit-learn docs:
> The 20 newsgroups dataset comprises around 18000 newsgroups posts on 20 topics split in two subsets: one for tra... |
SetFit | null | null | null | false | 335 | false | SetFit/TREC-QC | 2022-01-15T22:42:56.000Z | null | false | 0a34640b3cac3affef6f0abdfb81e3d0ecffcf92 | [] | [] | https://huggingface.co/datasets/SetFit/TREC-QC/resolve/main/README.md | # TREC Question Classification
Question classification in coarse and fine-grained categories.
Source:
[Experimental Data for Question Classification](https://cogcomp.seas.upenn.edu/Data/QA/QC/)
Xin Li, Dan Roth, Learning Question Classifiers. COLING'02, Aug., 2002. |
SetFit | null | @misc{oneill2021i,
title={I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews},
author={James O'Neill and Polina Rozenshtein and Ryuichi Kiryo and Motoko Kubota and Danushka Bollegala},
year={2021},
eprint={2104.06893},
... | The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification. Counterfactual statements describe events that did not or cannot take place. Counterfactual statements may be identified as statements of the form ... | false | 797 | false | SetFit/amazon_counterfactual | 2022-02-08T10:15:40.000Z | null | false | 53e2aca73f7af37bfc24e0670c361d39809ad2ab | [] | [
"arxiv:2104.06893"
] | https://huggingface.co/datasets/SetFit/amazon_counterfactual/resolve/main/README.md | # Amazon Multilingual Counterfactual Dataset
The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification. Counterfactual statements describe events that did not or cannot take place. Counterfactual statemen... |
SetFit | null | null | null | false | 1,827 | false | SetFit/amazon_counterfactual_en | 2022-02-11T13:03:45.000Z | null | false | bb7e3bd207c48e2c4046f0c16107beda80c91342 | [] | [
"arxiv:2104.06893"
] | https://huggingface.co/datasets/SetFit/amazon_counterfactual_en/resolve/main/README.md | # Amazon Counterfactual Statements
This dataset is the *en-ext* split from [SetFit/amazon_counterfactual](https://huggingface.co/datasets/SetFit/amazon_counterfactual). As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.
The dataset is describ... |
SetFit | null | null | null | false | 506 | false | SetFit/bbc-news | 2022-01-18T05:58:34.000Z | null | false | 3587946a5360b8c81993d551b16f4951e025fb6d | [] | [] | https://huggingface.co/datasets/SetFit/bbc-news/resolve/main/README.md | # BBC News Topic Classification
Dataset on [BBC News Topic Classification](https://www.kaggle.com/yufengdev/bbc-text-categorization/data): 2225 articles, each labeled under one of 5 categories: business, entertainment, politics, sport or tech. |
SetFit | null | null | null | false | 2,343 | false | SetFit/emotion | 2022-04-03T20:47:37.000Z | null | false | 6c362e04d016f6b6a9377e85c3b944140f0b96c9 | [] | [] | https://huggingface.co/datasets/SetFit/emotion/resolve/main/README.md | ** Attention: There appears an overlap in train / test. I trained a model on the train set and achieved 100% acc on test set. With the original emotion dataset this is not the case (92.4% acc)** |
SetFit | null | null | null | false | 2,650 | false | SetFit/enron_spam | 2022-01-16T18:12:43.000Z | null | false | 1916f66c89d52221ae33eb57d44498b4f3a5df22 | [] | [] | https://huggingface.co/datasets/SetFit/enron_spam/resolve/main/README.md | This is a version of the [Enron Spam Email Dataset](https://github.com/MWiechmann/enron_spam_data), containing emails (subject + message) and a label whether it is spam or ham. |
SetFit | null | @misc{mollas2020ethos,
title={ETHOS: an Online Hate Speech Detection Dataset},
author={Ioannis Mollas and Zoe Chrysopoulou and Stamatis Karlos and Grigorios Tsoumakas},
year={2020},
eprint={2006.08328},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | ETHOS: onlinE haTe speecH detectiOn dataSet. This repository contains a dataset for hate speech
detection on social media platforms, called Ethos. There are two variations of the dataset:
Ethos_Dataset_Binary: contains 998 comments in the dataset alongside with a label
about hate speech presence or absence. 565 of the... | false | 480 | false | SetFit/ethos | 2022-02-03T08:31:19.000Z | null | false | 3816a4232f05ebec284ffb76a2b6565d1c858e2a | [] | [] | https://huggingface.co/datasets/SetFit/ethos/resolve/main/README.md | # Ethos
This dataset is a clone of the official [`ethos` dataset](https://huggingface.co/datasets/ethos) on the Hub. It contains both `binary` and `multilabel` subsets. |
SetFit | null | null | null | false | 325 | false | SetFit/ethos_binary | 2022-01-16T17:54:54.000Z | null | false | 3e20849175072aa95845981f27938ebeb4eb93e0 | [] | [] | https://huggingface.co/datasets/SetFit/ethos_binary/resolve/main/README.md |
This is the binary split of [ethos](https://huggingface.co/datasets/ethos), split into train and test.
It contains comments annotated for hate speech or not. |
SetFit | null | null | null | false | 391 | false | SetFit/go_emotions | 2022-09-08T15:41:33.000Z | null | false | b83b20869f3b5eff89c0a375d8d015a878826094 | [] | [] | https://huggingface.co/datasets/SetFit/go_emotions/resolve/main/README.md | # GoEmotions
This dataset is a port of the official [`go_emotions` dataset](https://huggingface.co/datasets/go_emotions) on the Hub. It only contains the `simplified` subset as these are the only fields we need for text classification. |
SetFit | null | null | null | false | 364 | false | SetFit/hate_speech_offensive | 2022-01-15T21:47:31.000Z | null | false | d0dafd0c98ed4f90649fbb1c77d5dee7857c0d49 | [] | [] | https://huggingface.co/datasets/SetFit/hate_speech_offensive/resolve/main/README.md | # hate_speech_offensive
This dataset is a version from [hate_speech_offensive](https://huggingface.co/datasets/hate_speech_offensive), splitted into train and test set. |
SetFit | null | null | null | false | 323 | false | SetFit/insincere-questions | 2022-01-19T18:15:51.000Z | null | false | cbc6d860e837a83dc17bc59ef1575825a979e19f | [] | [] | https://huggingface.co/datasets/SetFit/insincere-questions/resolve/main/README.md | This is a version of the [Quora Insincere Questions Classification](https://www.kaggle.com/c/quora-insincere-questions-classification).
An insincere question is defined as a question intended to make a statement rather than look for helpful answers. About 6% of questions are labeled as insincere. |
SetFit | null | null | null | false | 22 | false | SetFit/mnli | 2022-02-28T13:53:53.000Z | null | false | 1c01c732e1efb5d5090c5618276c010aecebefa3 | [] | [] | https://huggingface.co/datasets/SetFit/mnli/resolve/main/README.md | # Glue MNLI
This dataset is a port of the official [`mnli` dataset](https://huggingface.co/datasets/glue/viewer/mnli/train) on the Hub.
It contains the matched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label c... |
SetFit | null | null | null | false | 20 | false | SetFit/mnli_mm | 2022-02-28T13:56:44.000Z | null | false | 9a22592a7f30887c20b4f0c45570669002cdca6d | [] | [] | https://huggingface.co/datasets/SetFit/mnli_mm/resolve/main/README.md | # Glue MNLI
This dataset is a port of the official [`mnli` dataset](https://huggingface.co/datasets/glue/viewer/mnli/train) on the Hub.
It contains the mismatched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the labe... |
SetFit | null | null | null | false | 180 | false | SetFit/mrpc | 2022-02-28T13:18:30.000Z | null | false | 2e2058c90792fb6dc86125943e4d2f96a5155a6b | [] | [] | https://huggingface.co/datasets/SetFit/mrpc/resolve/main/README.md | # Glue MRPC
This dataset is a port of the official [`mrpc` dataset](https://huggingface.co/datasets/glue/viewer/mrpc/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
SetFit | null | null | null | false | 155 | false | SetFit/qnli | 2022-02-28T13:29:16.000Z | null | false | e08ed8239c319cf7f2d2ab393d1b90e276c39570 | [] | [] | https://huggingface.co/datasets/SetFit/qnli/resolve/main/README.md | # Glue QNLI
This dataset is a port of the official [`qnli` dataset](https://huggingface.co/datasets/glue/viewer/qnli/train) on the Hub.
Note that the question and sentence columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
SetFit | null | null | null | false | 3,110 | false | SetFit/qqp | 2022-02-28T11:10:11.000Z | null | false | df33eff016c496a5b944d026d5c0b511dc1f64f1 | [] | [] | https://huggingface.co/datasets/SetFit/qqp/resolve/main/README.md | # Glue QQP
This dataset is a port of the official [`qqp` dataset](https://huggingface.co/datasets/glue/viewer/qqp/train) on the Hub.
Note that the question1 and question2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
SetFit | null | null | null | false | 57 | false | SetFit/rte | 2022-02-28T12:46:43.000Z | null | false | 23f2a468b9bc13030f5595a2e5f9307cb165280c | [] | [] | https://huggingface.co/datasets/SetFit/rte/resolve/main/README.md | # Glue RTE
This dataset is a port of the official [`rte` dataset](https://huggingface.co/datasets/glue/viewer/rte/train) on the Hub.
Note that the sentence1 and sentence2 columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label column values are always -1.
|
SetFit | null | null | null | false | 1,871 | false | SetFit/sst2 | 2021-12-25T06:16:15.000Z | null | false | 00ea8ccb7a54b4e3780a3e51aa3f80361ff849c0 | [] | [] | https://huggingface.co/datasets/SetFit/sst2/resolve/main/README.md | # Stanford Sentiment Treebank - Binary
[Stanford Sentiment Treebank](http://nlp.stanford.edu/sentiment/) with 2 labels: negative, positive
Splits are from:
[https://github.com/AcademiaSinicaNLPLab/sentiment_dataset/tree/master/data](https://github.com/AcademiaSinicaNLPLab/sentiment_dataset/tree/master/data)
... |
SetFit | null | null | null | false | 4,707 | false | SetFit/sst5 | 2021-12-25T06:10:36.000Z | null | false | e51bdcd8cd3a30da231967c1a249ba59361279a3 | [] | [] | https://huggingface.co/datasets/SetFit/sst5/resolve/main/README.md | # Stanford Sentiment Treebank - Fine-Grained
[Stanford Sentiment Treebank](http://nlp.stanford.edu/sentiment/) with 5 labels: very positive, positive, neutral, negative, very negative
Splits are from:
[https://github.com/AcademiaSinicaNLPLab/sentiment_dataset/tree/master/data](https://github.com/AcademiaSinicaN... |
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