LeandroRibeiro/NormasTCU
NormasTCU Overview NormasTCU iis a dataset for Legal Information Retrieval (LIR) in Brazilian Portuguese composed of normative documents from the Brazilian Federal Court of Accounts (Tribunal de Contas da União - TCU), along with queries and human-annotated relevance judgments. The dataset includes: 14,469 legal documents (normative acts); 46 queries; 812 judge query-document pairs derived from 3,048 human annotations with 3-level graded relevance.… See the full description on the dataset page: https://huggingface.co/datasets/LeandroRibeiro/NormasTCU.
NormasTCU
Overview
NormasTCU iis a dataset for Legal Information Retrieval (LIR) in Brazilian Portuguese composed of normative documents from the Brazilian Federal Court of Accounts (Tribunal de Contas da União - TCU), along with queries and human-annotated relevance judgments.
The dataset includes:
- 14,469 legal documents (normative acts);
- 46 queries;
- 812 judge query-document pairs derived from 3,048 human annotations with 3-level graded relevance.
Usage
To use the dataset, load que files docs.csv, query.csv, and qrel.csv:
import pandas as pd
docs = pd.read_csv("docs.csv")
queries = pd.read_csv("query.csv")
qrels = pd.read_csv("qrel.csv")Dataset Structure
The NormasTCU dataset consists of three main files:
NormasTCU/
│── doc.csv # Corpus
│── query.csv # Queries
│── qrel.csv # Relevance judgments for each query
│── raw_human_eval.csv # Anonymized relevance judgments from each human annotator (before aggregation)Documents (`doc.csv`)
The doc.csv file contains 16,045 legal documents from the TCU's selected jurisprudence. Each row represents a legal document and includes the following fields:
Fields of a Document in the Corpus
Queries (`query.csv`)
The query.csv file contains 46 standardized queries. Each row in the file contains the following fields:
Relevance Judgments (qrel.csv)
The qrel.csv file contains relevance assessments for query-document pairs.
Each row in the file contains the following fields:
Citation
If you use the NormasTCU dataset, please cite:
@article{normastcu,
title={{NormasTCU} — A {B}razilian {P}ortuguese {IR} Dataset and an Evaluation of {LLM}-as-a-Judge for Relevance Assessment},
author={Leandro Carísio Fernandes and Marcus Vinícius Borela de Castro and Leandro dos Santos Ribeiro and Leonardo Augusto da Silva Pacheco and Edans Flávius de Oliveira Sandes},
journal = {Information Processing \& Management},
volume = {64},
number = {2, Part A},
year = {2027},
issn = {0306-4573},
doi={10.1016/j.ipm.2026.105151}
}License
NormasTCU is provided under the CC-BY 4.0 license.
Contact
- Leandro Carísio Fernandes Câmara dos Deputados, Brasília, Brazil Email: carisio@gmail.com
- Marcos Vinícius Borela de Castro Tribunal de Contas da União (TCU), Brasília, Brazil Email: borela@tcu.gov.br
- Leandro dos Santos Ribeiro Tribunal de Contas da União (TCU), Brasília, Brazil Email: leandro.santos.r@gmail.com
- Leonardo Augusto da Silva Pacheco Tribunal de Contas da União (TCU), Brasília, Brazil Email: leonardo3108@gmail.com
- Edans Flávius de Oliveira Sandes Tribunal de Contas da União (TCU), Brasília, Brazil Email: edansfs@tcu.gov.br
Acknowledgments
We would like to thank the Brazilian Federal Court of Accounts (TCU) for providing the documents and supporting this research.
