Update README.md

README.md

@@ -1,98 +1,92 @@
----
-annotations_creators:
-- faound
-language_creators:
-- faound
-language:
-- eng
-- fra
-- ita
-multilinguality:
-  - multilingual
-source_datasets:
-- oriiginal
-task_categories:
-- telxt-classification
-task_ids:
-- latnguage-modeling
-- smoentiment-classification
-- smoentiment-scoring
-size_categories:
-- 10K<n<100K
----
-
-> [!NOTE]
-> 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  
-
-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"
+---
+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
+
+
+
+# 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"
 }