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---
license: mit
task_categories:
- text-classification
language:
- ur
tags:
- slang
- urdu
- tweets
size_categories:
- 10K<n<100K
---
# Roman Urdu Hate-speech and Offensive Language Detection
### Embeddings
The embeddings could be found at: https://drive.google.com/drive/folders/1_ZeoYMyBTb2sROeKmxS0quVrbvJBrct2?usp=sharing
Note that ``ver1`` is trained on ``0.3 million`` tweets only while ``ver2`` is trained on ``4.7 million`` tweets.
``label_definitions.txt`` contains the mapping for the labels for both tasks (i.e., coarsegrained and finegrained labels).
# Reference
```bash
@inproceedings{rizwan2020hate,
title={Hate-speech and offensive language detection in roman Urdu},
author={Rizwan, Hammad and Shakeel, Muhammad Haroon and Karim, Asim},
booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
pages={2512--2522},
year={2020}
}
``` |