Summary of Nyayaanumana & Inlegalllama: the Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model For Enhanced Decision Analysis, by Shubham Kumar Nigam et al.
NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis
by Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
First submitted to arxiv on: 11 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The integration of artificial intelligence (AI) in legal judgment prediction (LJP) has the potential to transform the legal landscape, particularly in jurisdictions like India, where a significant backlog of cases burdens the legal system. This paper introduces NyayaAnumana, a corpus of Indian legal cases compiled for LJP, encompassing 7,02,945 preprocessed cases. NyayaAnumana combines words from major Indian languages and includes cases from various courts, providing unparalleled diversity and coverage. The dataset surpasses existing datasets like PredEx and ILDC, offering a comprehensive foundation for advanced AI research in the legal domain. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can predict legal judgments with greater accuracy. This paper creates a massive database of Indian court cases to help make this prediction possible. It’s called NyayaAnumana and includes over 7 million cases from different courts. This is more than any other dataset, making it useful for AI researchers studying the law. |
