Datasets:

textdetox
/

multilingual_paradetox

	---
	language:
	- en
	- uk
	- ru
	- de
	- zh
	- am
	- ar
	- hi
	- es
	license: openrail++
	size_categories:
	- 1K<n<10K
	task_categories:
	- text-generation
	dataset_info:
	features:
	- name: toxic_sentence
	dtype: string
	- name: neutral_sentence
	dtype: string
	splits:
	- name: en
	num_bytes: 47435
	num_examples: 400
	- name: ru
	num_bytes: 89453
	num_examples: 400
	- name: uk
	num_bytes: 78106
	num_examples: 400
	- name: de
	num_bytes: 86818
	num_examples: 400
	- name: es
	num_bytes: 56868
	num_examples: 400
	- name: am
	num_bytes: 133489
	num_examples: 400
	- name: zh
	num_bytes: 79089
	num_examples: 400
	- name: ar
	num_bytes: 85237
	num_examples: 400
	- name: hi
	num_bytes: 107518
	num_examples: 400
	download_size: 489288
	dataset_size: 764013
	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-*
	---
	MultiParaDetox

	This is the multilingual parallel dataset for text detoxification prepared for [CLEF TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html) shared task.
	For each of 9 languages, we collected 1k pairs of toxic<->detoxified instances splitted into two parts: dev (400 pairs) and test (600 pairs).

	!!!April, 23rd, update: We are realsing the parallel dev set! The test part for the final phase of the competition is available [here](https://huggingface.co/datasets/textdetox/multilingual_paradetox_test)!!!

	The list of the sources for the original toxic sentences:
	* 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: [Ukrainian Twitter texts](https://github.com/saganoren/ukr-twi-corpus)
	* Spanish: [Detecting and Monitoring Hate Speech in Twitter](https://www.mdpi.com/1424-8220/19/21/4654), [Detoxis](https://rdcu.be/dwhxH), [RoBERTuito: a pre-trained language model for social media text in Spanish](https://aclanthology.org/2022.lrec-1.785/)
	* German: [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)

	## 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}
	}
	```

	```
	@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}
	}
	```