https://github.com/abdulmanaf12/hate-speech-detection
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AbdulManaf12
- Language: Jupyter Notebook
- Default Branch: main
- Size: 7.78 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Fine-grained multi-lingual hate speech detection by leveraging XAI, LLMs and Transformers
Introduction
Provide a brief description of the project, its goals, and the problem it addresses. Mention the key technologies used.
Table of Contents
- Introduction
- Installation
- Usage
- Dataset Description
- Model Training
- Results and Experiments
- Contributing
- License
- Acknowledgments
Installation
Instructions on how to set up the project: 1. Clone the repository:
git clone [repository URL]
- Navigate to the project directory:
cd Hate-Speech-Detection
- Install dependencies (if any):
pip install -r requirements.txt
Usage
Provide examples on how to run the project:
python script_name.py --options
Include information about the notebooks included in the Code directory and their purposes.
Dataset Description
Detail the datasets under Dataset Statistics/, how they were curated and their structure:
- english_urdu_sindhi_curated_and_translated(full).csv
- train.csv
- val.csv
- test.csv
Model Training
Describe the model training process and directory structure under Model training/. Mention the languages and frameworks used, like BERT and XLM-Roberta for different languages.
Results and Experiments
Discuss the findings and link to any significant experiment notebooks or results stored, such as:
- Experiments & Results.gsheet under Hate_VS_Non-Hate/
- Images and graphs stored under results_LLM/
Contributing
Guidelines on how to contribute to the project:
1. Fork the repository.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -am 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.
License
State the license under which the project is released.
Acknowledgments
Credit any collaborators, third-party resources, or any other acknowledgments.
Owner
- Name: Abdul Manaf
- Login: AbdulManaf12
- Kind: user
- Location: Sukkur, Pakistan
- Website: https://abdulmanaf12.github.io/
- Twitter: Abdul1Manaf
- Repositories: 3
- Profile: https://github.com/AbdulManaf12
Deep Learning Engineer