Dataset Card for Indian Judicial System Dataset (Chunked)
Dataset Details
Dataset Description
This dataset contains legal texts from the Indian Judicial System, processed into meaningful semantic chunks using RecursiveCharacterTextSplitter. It is designed for NLP tasks like legal document analysis, case law summarization, and retrieval-augmented generation (RAG).
- Language: English
- License: MIT
- Source: Official legal documents and judgments
- Processing Method: Chunked using
RecursiveCharacterTextSplitter
Uses
Direct Use
- Legal document analysis
- Case law summarization
- Training legal language models
- Retrieval-augmented generation (RAG)
Out-of-Scope Use
- Generating legal advice
- Applications requiring unaltered original texts
Dataset Structure
- Format: Text files or JSON lines
- Chunk Size: Variable, based on semantic coherence
- Metadata: Includes source document and chunk position
Dataset Creation
Source Data
- Derived from official Indian legal documents and judgments.
- Mainly taken from the 2 books : 1 A Guide on Laws Applicable to Indian Financial Markets. 2 Guide to Litigation in India
- Processed using
RecursiveCharacterTextSplitterfor logical and semantic chunking.
Personal and Sensitive Information
- No personal or sensitive information is included.
Bias, Risks, and Limitations
- May reflect biases present in original legal texts.
- Chunks may occasionally require additional context for full understanding.
Recommendations
- Validate the dataset for specific use cases.
- Consult legal experts for critical applications.