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The Italian lawmaking process: a unified and structured dataset

L5 · ResearcherResearcharXiv· 10/16/2026

Demonstrates advanced NLP techniques for legal text processing and provides valuable dataset for computational legal studies.

AI Summary

Researchers created a structured dataset of 101,413 Italian lawmaking events using LLM-based extraction from parliamentary records.

Excerpt

The Italian legislative process is documented in detailed parliamentary records hosted in institutional websites. However, much of this information is available only as unstructured text, limiting its systematic reuse. We applied a controlled, systematic LLM-based extraction procedure, validated against manually annotated records, to convert these texts into ordered and dated events including, e.g., bill introduction, committee examination, plenary examination, and approval. The resulting datase

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