Datasets:
File size: 5,885 Bytes
0500006 46eca96 0500006 46eca96 f6a7b73 0f3604e f6a7b73 46eca96 f6a7b73 0f3604e f6a7b73 46eca96 77f47e7 58a8041 77f47e7 3145154 77f47e7 a49b52b 684bfd6 a49b52b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 |
---
language:
- en
- ru
- uk
- de
- es
- am
- zh
- ar
- hi
license: openrail++
size_categories:
- 10K<n<100K
task_categories:
- text-classification
dataset_info:
features:
- name: text
dtype: string
- name: toxic
dtype: int64
splits:
- name: en
num_bytes: 411178
num_examples: 5000
- name: ru
num_bytes: 710001
num_examples: 5000
- name: uk
num_bytes: 630595
num_examples: 5000
- name: de
num_bytes: 941017
num_examples: 5000
- name: es
num_bytes: 978750
num_examples: 5000
- name: am
num_bytes: 1102628
num_examples: 5000
- name: zh
num_bytes: 359235
num_examples: 5000
- name: ar
num_bytes: 889661
num_examples: 5000
- name: hi
num_bytes: 1842662
num_examples: 5000
download_size: 4470012
dataset_size: 7865727
configs:
- config_name: default
data_files:
- split: en
path: data/en-*
- split: ru
path: data/ru-*
- split: uk
path: data/uk-*
- split: de
path: data/de-*
- split: es
path: data/es-*
- split: am
path: data/am-*
- split: zh
path: data/zh-*
- split: ar
path: data/ar-*
- split: hi
path: data/hi-*
---
For the shared task [CLEF TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html), we provide a compilation of binary toxicity classification datasets for each language.
Namely, for each language, we provide 5k subparts of the datasets -- 2.5k toxic and 2.5k non-toxic samples.
The list of original sources:
* English: [Jigsaw](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge), [Unitary AI Toxicity Dataset](https://github.com/unitaryai/detoxify)
* Russian: [Russian Language Toxic Comments](https://www.kaggle.com/datasets/blackmoon/russian-language-toxic-comments), [Toxic Russian Comments](https://www.kaggle.com/datasets/alexandersemiletov/toxic-russian-comments)
* Ukrainian: our labeling based on [Ukrainian Twitter texts](https://github.com/saganoren/ukr-twi-corpus)
* Spanish: [CLANDESTINO, the Spanish toxic language dataset](https://github.com/microsoft/Clandestino/tree/main)
* German: [DeTox-Dataset](https://github.com/hdaSprachtechnologie/detox), [GemEval 2018, 2021](https://aclanthology.org/2021.germeval-1.1/)
* Amhairc: [Amharic Hate Speech](https://github.com/uhh-lt/AmharicHateSpeech)
* Arabic: [OSACT4](https://edinburghnlp.inf.ed.ac.uk/workshops/OSACT4/)
* Hindi: [Hostility Detection Dataset in Hindi](https://competitions.codalab.org/competitions/26654#learn_the_details-dataset), [Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages](https://dl.acm.org/doi/pdf/10.1145/3368567.3368584?download=true)
All credits go to the authors of the original toxic words lists.
## Citation
If you would like to acknowledge our work, please, cite the following manuscripts:
```
@inproceedings{dementieva2024overview,
title={Overview of the Multilingual Text Detoxification Task at PAN 2024},
author={Dementieva, Daryna and Moskovskiy, Daniil and Babakov, Nikolay and Ayele, Abinew Ali and Rizwan, Naquee and Schneider, Frolian and Wang, Xintog and Yimam, Seid Muhie and Ustalov, Dmitry and Stakovskii, Elisei and Smirnova, Alisa and Elnagar, Ashraf and Mukherjee, Animesh and Panchenko, Alexander},
booktitle={Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum},
editor={Guglielmo Faggioli and Nicola Ferro and Petra Galu{\v{s}}{\v{c}}{\'a}kov{\'a} and Alba Garc{\'i}a Seco de Herrera},
year={2024},
organization={CEUR-WS.org}
}
```
```
@article{dementieva2024toxicity,
title={Toxicity Classification in Ukrainian},
author={Dementieva, Daryna and Khylenko, Valeriia and Babakov, Nikolay and Groh, Georg},
journal={arXiv preprint arXiv:2404.17841},
year={2024}
}
```
```
@inproceedings{DBLP:conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24,
author = {Janek Bevendorff and
Xavier Bonet Casals and
Berta Chulvi and
Daryna Dementieva and
Ashaf Elnagar and
Dayne Freitag and
Maik Fr{\"{o}}be and
Damir Korencic and
Maximilian Mayerl and
Animesh Mukherjee and
Alexander Panchenko and
Martin Potthast and
Francisco Rangel and
Paolo Rosso and
Alisa Smirnova and
Efstathios Stamatatos and
Benno Stein and
Mariona Taul{\'{e}} and
Dmitry Ustalov and
Matti Wiegmann and
Eva Zangerle},
editor = {Nazli Goharian and
Nicola Tonellotto and
Yulan He and
Aldo Lipani and
Graham McDonald and
Craig Macdonald and
Iadh Ounis},
title = {Overview of {PAN} 2024: Multi-author Writing Style Analysis, Multilingual
Text Detoxification, Oppositional Thinking Analysis, and Generative
{AI} Authorship Verification - Extended Abstract},
booktitle = {Advances in Information Retrieval - 46th European Conference on Information
Retrieval, {ECIR} 2024, Glasgow, UK, March 24-28, 2024, Proceedings,
Part {VI}},
series = {Lecture Notes in Computer Science},
volume = {14613},
pages = {3--10},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-56072-9\_1},
doi = {10.1007/978-3-031-56072-9\_1},
timestamp = {Fri, 29 Mar 2024 23:01:36 +0100},
biburl = {https://dblp.org/rec/conf/ecir/BevendorffCCDEFFKMMPPRRSSSTUWZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
``` |