This repository contains a collection of judgments from the Supreme Court of India, spanning from 1950 to the present day. The judgments are organized into separate folders based on the year ranges covered.
The repository is structured as follows:
├── data1 (1950-1969)
├── data2 (1970-1979)
├── data3 (1980-1989)
├── data4 (1990-1999)
├── data5 (2000-2009)
├── data6 (2010-2019)
├── data7 (2020-2023)
├── data8 (2024-present)
├── index.ipynb
└── README.md
Each data folder contains judgment files in a standardized format (e.g., PDF, text, or other commonly used formats). The files are named according to a consistent convention, making it easier to identify and access specific judgments.
The judgment data in this repository is sourced directly from the Supreme Court of India's official records. The repository is updated on a monthly basis to include the latest judgments from the Court.
This repository serves as a comprehensive resource for researchers, legal professionals, and anyone interested in studying or analyzing Supreme Court judgments from India. The data can be used for various purposes, such as:
- Legal analysis
- Precedent research
- Developing machine learning models for legal text processing
Contributions to this repository are welcome. If you have additional Supreme Court judgments or corrections to existing data, please submit a pull request or open an issue with the relevant information.
- Fork the Repository: Create a personal copy of the repository.
- Create a Branch: Make a branch for your edits.
- Submit a Pull Request: Once your changes are made, submit a pull request for review.
For detailed guidance on contributing, please refer to our CONTRIBUTING.md file.
The contents of this repository are made available under the [specify the applicable license] license. Please refer to the LICENSE file for more details.
The judgment data in this repository is provided as-is, without any warranties or guarantees. The repository maintainers do not assume any liability for the accuracy, completeness, or timeliness of the data. Users are solely responsible for verifying the information and ensuring compliance with applicable laws and regulations.
For those interested in the technical aspects of data collection, the index.ipynb notebook contains the code used to collect and process the judgment data. This includes:
- Web scraping techniques for data extraction
- Data cleaning and formatting processes
- Methods for ensuring the data's integrity and accuracy
For any queries or issues regarding the repository, please contact [[email protected]].
Feel free to explore the repository and utilize the data in accordance with the applicable laws and regulations.