Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: cc-by-4.0
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: cc-by-4.0
|
| 3 |
---
|
| 4 |
+
The dataset consists 11,549 YouTube comments in Hindi-English code-mixed language for targeted hate speech detection against religion. Binary and multi-class tagging of YouTube comments is used.
|
| 5 |
+
The classification of YouTube comments addresses two subtasks: Subtask-1 (Binary classification): comments are labeled as antireligion or non-antireligion. Subtask-2 (Multi-class classification): comments are labeled on the major targeted religions such as Islam, Hinduism, and Christianity, with a ‘none’ class also provided.
|
| 6 |
+
|
| 7 |
+
For more information, refer this paper: Sharma, D., Singh, A., & Singh, V. K. (2024). THAR-Targeted Hate Speech Against Religion: A high-quality Hindi-English code-mixed Dataset with the Application of Deep Learning Models for Automatic Detection. ACM Transactions on Asian and Low-Resource Language Information Processing.
|