metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - fr
  - it
multilinguality:
  - multilingual
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - language-modeling
  - sentiment-classification
  - sentiment-scoring
size_categories:
  - 10K<n<100K

Dataset origin: https://github.com/marcoguerini/CONAN

Dataset Card for [CONAN]

Dataset Description

Repository: https://github.com/marcoguerini/CONAN
Paper: https://aclanthology.org/P19-1271/
Point of Contact: ychung@fbk.eu, tekiroglu@fbk.eu, guerini@fbk.eu, elizaveta.kuzmenko@studenti.unitn.it

Dataset Summary

CONAN is a multilingual and expert-based dataset of hate speech/counter-narrative pairs for English, French and Italian.
The dataset consists of 4,078 pairs over the 3 languages. Together with the data we also provide 3 types of metadata: expert demographics, hate speech sub-topic and counter-narrative type. The dataset is augmented through translation (from Italian/French to English) and paraphrasing, which brought the total number of pairs to 14.988.
(*)The original number was 15.024 but after post-hoc analysis, we deleted 9 original pairs (36 pairs including augmented ones) because they did not meet the required standard.

Supported Tasks and Leaderboards

Text classification

Languages

English, French and Italian

Dataset Structure

Data Instances

Zntry starts with an ID, followed by a pair of hate speech/counter-narrative and the metadata (hate speech type, hate speech sub-topic, counter-narrative type, and demographics).
ID indicates language, hate speech type, hate speech sub-topic, unique hate speech count, counter-narrative count, and augmentation type (if any).

Data Fields

ID example:

FRT1ST0014HS0015CN001238T1

FR|T1|ST0014|HS0015|CN001238|T1

(P1: paraphrase 1 / P2: paraphrase 2 / T1: translation 1)

Data Splits

No splits provided in the dataset

Additional Information

Licensing Information

These resources can be used for research purposes. Please cite the corresponding publication if you use it.

Citation Information

@inproceedings{chung-etal-2019-conan, title = "{CONAN} - {CO}unter {NA}rratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech", author = "Chung, Yi-Ling and Kuzmenko, Elizaveta and Tekiroglu, Serra Sinem and Guerini, Marco", booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2019", address = "Florence, Italy", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/P19-1271", doi = "10.18653/v1/P19-1271", pages = "2819--2829" }