# CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes

arXiv: https://arxiv.org/abs/2602.12137 · HTML: https://mlsanity.com/paper/2602.12137/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 37 references that are in the map.
- First posted on arXiv 12 Feb 2026.

## Builds on (most cited first, 9 of 9)

- [The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale](https://mlsanity.com/paper/2406.17557/) (2024)
- [CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://mlsanity.com/paper/2310.15638/) (2023)
- [MeetingBank: A Benchmark Dataset for Meeting Summarization](https://mlsanity.com/paper/2305.17529/) (2023)
- [Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*](https://mlsanity.com/paper/2305.06721/) (2023)
- [Councils in Action: Automating the Curation of Municipal Governance Data for Research](https://mlsanity.com/paper/2204.09110/) (2022)
- [Tracking the Newsworthiness of Public Documents](https://mlsanity.com/paper/2311.09734/) (2023)
- [IsraParlTweet: The Israeli Parliamentary and Twitter Resource](https://mlsanity.com/paper/2405.20269/) (2024)
- [Open Government Data Programs and Information Privacy Concerns: A Literature Review](https://mlsanity.com/paper/2312.10096/) (2023)
- [PublicHearingBR: A Brazilian Portuguese Dataset of Public Hearing Transcripts for Summarization of Long Documents](https://mlsanity.com/paper/2410.07495/) (2024)

## Abstract (arXiv)

City councils play a crucial role in local governance, directly influencing citizens' daily lives through decisions made during municipal meetings. These deliberations are formally documented in meeting minutes, which serve as official records of discussions, decisions, and voting outcomes. Despite their importance, municipal meeting records have received little attention in Information Retrieval (IR) and Natural Language Processing (NLP), largely due to the lack of annotated datasets, which ultimately limit the development of computational models. To address this gap, we introduce CitiLink-Minutes, a multilayer dataset of 120 European Portuguese municipal meeting minutes from six municipalities. Unlike prior annotated datasets of parliamentary or video records, CitiLink-Minutes provides multilayer annotations and structured linkage of official written minutes. The dataset contains over one million tokens, with all personal identifiers de-identified. Each minute was manually annotated by two trained annotators and curated by an experienced linguist across three complementary dimensions: (1) metadata, (2) subjects of discussion, and (3) voting outcomes, totaling over 38,000 individual annotations. Released under FAIR principles and accompanied by baseline results on metadata extraction, topic classification, and vote labeling, CitiLink-Minutes demonstrates its potential for downstream NLP and IR tasks, while promoting transparent access to municipal decisions.