# 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`  

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## 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  

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## Dataset Structure
- **Format:** Text files or JSON lines  
- **Chunk Size:** Variable, based on semantic coherence  
- **Metadata:** Includes source document and chunk position  

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## 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 `RecursiveCharacterTextSplitter` for logical and semantic chunking.  

### Personal and Sensitive Information
- No personal or sensitive information is included.  

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## Bias, Risks, and Limitations
- May reflect biases present in original legal texts.  
- Chunks may occasionally require additional context for full understanding.  

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## Recommendations
- Validate the dataset for specific use cases.  
- Consult legal experts for critical applications.  

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## Contact
-shreyaspatil4780@gmail.com  

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