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

Fuente: arXiv
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Dettagli Bibliografici
Autori principali: Campos, Ricardo, Pacheco, Ana Filipa, Fernandes, Ana Luísa, Cantante, Inês, Rebouças, Rute, Cunha, Luís Filipe, Isidro, José Miguel, Evans, José Pedro, Marques, Miguel, Batista, Rodrigo, Amorim, Evelin, Jorge, Alípio, Guimarães, Nuno, Nunes, Sérgio, Leal, António, Silvano, Purificação
Natura: Preprint
Pubblicazione: 2026
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author Campos, Ricardo
Pacheco, Ana Filipa
Fernandes, Ana Luísa
Cantante, Inês
Rebouças, Rute
Cunha, Luís Filipe
Isidro, José Miguel
Evans, José Pedro
Marques, Miguel
Batista, Rodrigo
Amorim, Evelin
Jorge, Alípio
Guimarães, Nuno
Nunes, Sérgio
Leal, António
Silvano, Purificação
author_facet Campos, Ricardo
Pacheco, Ana Filipa
Fernandes, Ana Luísa
Cantante, Inês
Rebouças, Rute
Cunha, Luís Filipe
Isidro, José Miguel
Evans, José Pedro
Marques, Miguel
Batista, Rodrigo
Amorim, Evelin
Jorge, Alípio
Guimarães, Nuno
Nunes, Sérgio
Leal, António
Silvano, Purificação
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_12137
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes
Campos, Ricardo
Pacheco, Ana Filipa
Fernandes, Ana Luísa
Cantante, Inês
Rebouças, Rute
Cunha, Luís Filipe
Isidro, José Miguel
Evans, José Pedro
Marques, Miguel
Batista, Rodrigo
Amorim, Evelin
Jorge, Alípio
Guimarães, Nuno
Nunes, Sérgio
Leal, António
Silvano, Purificação
Computation and Language
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.
title CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes
topic Computation and Language
url https://arxiv.org/abs/2602.12137