CitiLink-Summ: A Dataset of Discussion Subjects Summaries in European Portuguese Municipal Meeting Minutes
Official repository for the paper submission
“CitiLink-Summ: A Dataset of Discussion Subjects Summaries in European Portuguese Municipal Meeting Minutes”
for The Web Conference (WWW) 2026.
This repository provides a dataset sample, baseline implementations, and the summarization guidelines used during data creation.
CitiLink-Summ introduces a new benchmark dataset for the summarization of discussion subjects extracted from European Portuguese municipal meeting minutes.
It enables research on:
- domain-specific summarization,
- low-resource languarge - European Portuguese,
- structured municipal meeting documentation,
- evaluation of LLMs and Encoder-Decoder Architectures under constrained public-administration contexts.
The benchmark includes manually curated abstractive summaries that condense the essential decisions and key points of municipal meetings.
The benchmark and the full set of baselines are implemented and reproducible.
The complete dataset will be released soon.
- Language: Python
- Frameworks: PyTorch, Hugging Face Transformers
- Models: BART (base/large), PRIMERA, PTT5, Gemini Flash, Qwen
The CitiLink-Summ workflow consists of:
-
Dataset Preparation
Processing of discussion subjects, metadata and expert-written summaries. -
Baseline Summarization
Implementations using encoder–decoder Transformers, long-context models, and LLM APIs. -
Automatic Evaluation
Metrics include ROUGE, BERTScore, BLEU, Meteor, and others.
Citilink-Summ/
├── baselines/
│ ├── train_models/ # Training scripts for BART, PRIMERA, PTT5, etc.
│ ├── generate_summaries/ # Zero-shot and fine-tuned summary generation
│ └── Evaluation/ # ROUGE, BLEU, BERTScore, MoverScore, etc.
│
├── docs/
│ └── assets/
│ ├── architecture.png
│ ├── header.png
│ └── structure.png
│
├── sample/ # Sample subset of the dataset (train/val/test)
│ ├── train/
│ ├── val/
│ └── test/
│
├── Summarization_guidelines.pdf
├── LICENSE
└── README.md
git clone https://github.com/inesctec/citilink-summ.git
cd citilink-summpython -m venv venv
source venv/bin/activate # Linux/macOS
venv\Scripts\activate # Windowspip install -r baselines/requirements.txtA sample subset of the CitiLink-Summ dataset is provided under sample/.
The full dataset will be released soon, following the structure illustrated below:
This project is licensed under the Creative Commons BY-NC-SA 4.0 License — see the LICENSE file for details.
- CitiLink Project: https://citilink.inesctec.pt/
- CitiLink-Summ Paper (preprint): Coming soon
- CitiLink Dataset: Coming soon
Developed by INESC TEC (Institute for Systems and Computer Engineering, Technology and Science),
in collaboration with:
- University of Beira Interior (UBI)
- University of Porto (UP)
- Portuguese Foundation for Science and Technology (FCT)
For support, questions, or collaboration inquiries:
- Email: [email protected] & [email protected]
- Corresponding Authors: Ricardo Campos (INESC TEC & UBI) & Miguel Marques (INESC TEC & UBI)
This work was funded within the scope of the project CitiLink, with reference 2024.07509.IACDC, which is co-funded by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021 - 2026, measure RE-C05-i08.M04 - ``To support the launch of a programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific training programme,'' as part of the funding contract signed between the Recovering Portugal Mission Structure (EMRP) and the FCT - Fundação para a Ciência e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology), as intermediary beneficiary. https://doi.org/10.54499/2024.07509.IACDC