| --- |
| language: |
| - eng |
| - fra |
| - ita |
| multilinguality: |
| - multilingual |
| task_categories: |
| - text-classification |
| task_ids: |
| - language-modeling |
| - sentiment-classification |
| - sentiment-scoring |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| > [!NOTE] |
| > Dataset origin: https://github.com/marcoguerini/CONAN |
|
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| # 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 |
| |
| Language | HS Type | HS SubTopic | HS ID | CN Count | augmentation type (P1/P2/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" |
| } |
