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--- |
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language: |
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- eng |
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- fra |
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- ita |
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multilinguality: |
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- multilingual |
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task_categories: |
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- text-classification |
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task_ids: |
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- language-modeling |
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- sentiment-classification |
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- sentiment-scoring |
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size_categories: |
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- 10K<n<100K |
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--- |
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> [!NOTE] |
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> Dataset origin: https://github.com/marcoguerini/CONAN |
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# Dataset Card for [CONAN] |
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## Dataset Description |
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- **Repository:** https://github.com/marcoguerini/CONAN |
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- **Paper:** https://aclanthology.org/P19-1271/ |
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- **Point of Contact:** ychung@fbk.eu, tekiroglu@fbk.eu, guerini@fbk.eu, elizaveta.kuzmenko@studenti.unitn.it |
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### Dataset Summary |
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CONAN is a multilingual and expert-based dataset of hate speech/counter-narrative pairs for English, French and Italian. |
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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. |
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(*)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. |
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### Supported Tasks and Leaderboards |
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Text classification |
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### Languages |
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English, French and Italian |
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## Dataset Structure |
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### Data Instances |
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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). |
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ID indicates language, hate speech type, hate speech sub-topic, unique hate speech count, counter-narrative count, and augmentation type (if any). |
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### Data Fields |
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ID example: |
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FRT1ST0014HS0015CN001238T1 |
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FR|T1|ST0014|HS0015|CN001238|T1 |
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Language | HS Type | HS SubTopic | HS ID | CN Count | augmentation type (P1/P2/T1) |
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(P1: paraphrase 1 / P2: paraphrase 2 / T1: translation 1) |
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### Data Splits |
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No splits provided in the dataset |
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## Additional Information |
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### Licensing Information |
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These resources can be used for research purposes. Please cite the corresponding publication if you use it. |
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### Citation Information |
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> @inproceedings{chung-etal-2019-conan, |
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title = "{CONAN} - {CO}unter {NA}rratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech", |
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author = "Chung, Yi-Ling and Kuzmenko, Elizaveta and Tekiroglu, Serra Sinem and Guerini, Marco", |
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booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", |
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month = jul, |
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year = "2019", |
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address = "Florence, Italy", |
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publisher = "Association for Computational Linguistics", |
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url = "https://www.aclweb.org/anthology/P19-1271", |
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doi = "10.18653/v1/P19-1271", |
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pages = "2819--2829" |
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} |
