README.md

metadata

annotations_creators: []
language:
  - en
language_creators: []
license: apache-2.0
multilinguality:
  - monolingual
pretty_name: adaption-legalbrain_indic_legal
size_categories:
  - 10K<n<100K
source_datasets:
  - >-
    extended|https://huggingface.co/datasets/Prarabdha/indian-legal-supervised-fine-tuning-data
tags:
  - adaption
  - legal
  - indian-law
  - legal-ai
  - instruction-tuning
  - llm
  - question-answering
task_categories:
  - question-answering
  - text-generation
task_ids:
  - open-domain-qa
  - text2text-generation

Adaption LegalBrain Indic Legal

Adaption LegalBrain Indic Legal is a professionally remastered version of the original Indian Legal Supervised Fine-Tuning Dataset. The dataset has been enhanced using Adaption's Adaptive Data Platform, improving instruction quality, consistency, and training effectiveness for Legal AI applications.

Original Dataset: https://huggingface.co/datasets/Prarabdha/indian-legal-supervised-fine-tuning-data

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Overview

This dataset contains high-quality instruction-response pairs covering Indian legal concepts, constitutional law, criminal law, contract law, corporate law, procedural law, and related judicial topics.

It is designed for:

• Legal Question Answering
• Supervised Fine-Tuning (SFT)
• Legal Chatbots
• AI Legal Assistants
• Retrieval-Augmented Generation (RAG)
• Legal Reasoning Systems
• Instruction-Tuned Large Language Models

The dataset has been automatically optimized using Adaption's Adaptive Data pipeline, resulting in improved prompt quality, reduced redundancy, and better instructional consistency.

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Dataset Statistics

Property	Value
Dataset Type	Instruction Tuning
Total Samples	32,105
Language	English
Domain	Indian Legal AI
Quality Grade	B
Relative Quality Improvement	78.0%

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Domain Distribution

• Legal — 92%
• Corporate & Business — 4%
• Religion — 2%

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Writing Style

• Informative — 44%
• Professional — 20%
• Analytical — 20%

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Adaptive Data Evaluation

Quality Improvement

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Grade Improvement

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Percentile Improvement

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Key Features

• High-quality legal instruction-response pairs
• Optimized using Adaption Adaptive Data
• Suitable for supervised fine-tuning
• Consistent formatting across samples
• Reduced prompt duplication
• Enhanced instruction clarity
• Ready for Legal LLM training
• Ideal for legal research assistants and AI chatbots

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Recommended Use Cases

• Fine-tuning open-source LLMs
• Legal AI Assistants
• Constitutional Law QA
• Court Judgment Analysis
• Legal Education
• Legal Search Systems
• Retrieval-Augmented Generation (RAG)
• Academic Research

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Credits

Dataset Publisher

Nupur Saraswat

Mastered using Adaption Adaptive Data Platform

---

Citation

@dataset{adaption_legalbrain_indic_legal,
  title={Adaption LegalBrain Indic Legal},
  author={Nupur Saraswat},
  year={2026},
  publisher={Hugging Face},
  note={Remastered using Adaption Adaptive Data Platform. Original dataset by Prarabdha.}
}