arXiv cs.CL· Matilde Contestabile, Chiara Ferrara, Giovanni Parrillo, Lorenzo Emer, Andrea Vandin·· 12 小时前AI 评分24
意大利立法流程数据集：用 LLM 提取 5346 部法律的 101413 个程序事件
The Italian lawmaking process: a unified and structured dataset
AI 导读
研究者用受控的 LLM 提取流程，将意大利议会非结构化文本转为带日期和顺序的事件，构建出覆盖 1985 至 2026 年全部 5346 部法律、第 IX 至 XIX 届议会的立法流程数据集，共 101413 个事件。每个事件记录活动、日期与议院，并在可得时补充程序细节，提取结果经人工标注记录验证。该数据集面向计算法学与立法研究，可结合面向过程的数据科学方法分析立法路径与时间分布。
正文 · 原文
Abstract: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 dataset reconstructs the procedural histories of all 5346 Italian laws enacted between 1985 and 2026, spanning parliamentary terms IX to XIX, for overall 101413 events. Each event records the activity, date, and chamber, with additional procedural details where available. The dataset supports research in the emerging fields of computational legal and legislative studies, potentially combined with process-oriented data science methods to examine procedural paths and legislative timing across parliamentary terms.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.23741 [cs.CL] |
| (or arXiv:2610.23741v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.23741 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Giovanni Parrillo [view email]
[v1]
Fri, 16 Oct 2026 16:52:11 UTC (1,112 KB)
来源：arXiv cs.CL · arxiv.org