IndianBailJudgments-1200: A Multi-Attribute Dataset for Legal NLP on Indian Bail Orders

TL;DR

This paper introduces IndianBailJudgments-1200, a comprehensive dataset of 1200 Indian bail court judgments with multi-attribute annotations, enabling advanced legal NLP research in Indian law.

Contribution

The paper presents the first publicly available, multi-attribute dataset for Indian bail judgments, created using a GPT-4o pipeline for annotation and verification.

Findings

Dataset supports various legal NLP tasks like outcome prediction and summarization.

Annotations are generated via a prompt-engineered GPT-4o pipeline.

The dataset enhances research in Indian legal NLP applications.

Abstract

Legal NLP remains underdeveloped in regions like India due to the scarcity of structured datasets. We introduce IndianBailJudgments-1200, a new benchmark dataset comprising 1200 Indian court judgments on bail decisions, annotated across 20+ attributes including bail outcome, IPC sections, crime type, and legal reasoning. Annotations were generated using a prompt-engineered GPT-4o pipeline and verified for consistency. This resource supports a wide range of legal NLP tasks such as outcome prediction, summarization, and fairness analysis, and is the first publicly available dataset focused specifically on Indian bail jurisprudence.