FIRAC Appeals: Indian Appellate Judgments with Machine-Generated Annotations

A collection of Indian appellate judgments paired with machine-generated FIRAC annotations: facts, issues, rules/authorities, analysis, and conclusion. It is the minimal public release for the FIRAC Appeals paper and will be expanded incrementally. The dataset was created by mborcin and was last updated on 2026-06-07.

Use Cases

• Train models for legal case summarization based on the FIRAC annotation structure.
• Develop argument mining systems using the annotated 'issues' and 'analysis' sections.
• Benchmark NLP models on structured legal reasoning tasks using the 'rules/authorities' and 'conclusion' fields.
• Study patterns in Indian appellate jurisprudence based on the annotated judgments.

Strengths

• Provides structured FIRAC annotations (facts, issues, rules/authorities, analysis, conclusion) for legal text.
• Focuses on Indian appellate judgments, a specific and defined legal domain.
• Dataset is described as a public release for a research paper, suggesting an academic foundation.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Machine-generated annotations applied to Indian appellate judgments.

Freshness

Last updated 2026-06-07 10:10:23; freshness should be verified.

Geography

India