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Belgian Legal Q&A Retrieval Dataset
Data Science and Analytics
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About
This resource is a specialized Legal Q&A dataset focused on Belgium’s legal system. Its primary purpose is to facilitate the research and development of information retrieval systems capable of matching legal questions to their corresponding statutory articles. The questions are derived from real-life scenarios and synthetic generation, offering diversified content for training and evaluation. A key feature is the inclusion of categorical information and detailed descriptions to enhance the understanding of specific legal nuances.
Columns
The dataset is structured across three main files (train.csv, test.csv, synthetic.csv), each containing the following essential columns:
- question: The full text of the legal query.
- article_ids: The identifiers of the statutory articles relevant to the legal question.
- category: A broad classification assigned to indicate the area of law the question belongs to.
- subcategory: A more specific classification used to refine the category of the question.
- extra_description (optional): Additional context, background, or further details related to the specific legal question.
Distribution
The dataset is provided in three CSV files: train.csv, test.csv, and synthetic.csv. The files contain legal questions, associated statutory article IDs, and contextual labels.
- train.csv: Contains real-life legal questions intended for model training.
- test.csv: Contains unseen legal questions designed to benchmark and evaluate model performance.
- synthetic.csv: Contains synthesized legal questions, which can be utilized to augment and increase the diversity of the training data.
The synthetic data file alone contains approximately 113,000 valid records for key columns like question and article IDs. Note that the dataset does not include specific dates associated with individual entries.
Usage
This data product is ideally suited for several advanced applications:
- Information Retrieval System Development: Creating and training specialized systems designed to retrieve precise statutory articles based on user-submitted legal questions.
- Natural Language Processing (NLP) Applications: Developing models and algorithms that aim to process and understand legal documents, including tasks such as extracting relevant information, identifying key legal terms, or summarizing legal texts.
- Legal Research: Analysing the pairing of questions and articles to gain insights into specific fields of law and identify frequently encountered legal issues.
- Machine Learning Algorithm Design: Creating sophisticated algorithms for challenging law information retrieval tasks.
Coverage
The scope of the content is centred exclusively on Belgium's legal framework. The data entries cover a variety of categories and subcategories pertinent to Belgian statutory law. No temporal coverage is specified, as specific dates are excluded from the entries.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
Who Can Use It
Intended users include:
- NLP Researchers: To train models that process legal language and structure.
- Data Scientists: To design and refine machine learning models for classification and retrieval in specialized domains.
- Legal Tech Developers: To build high-precision legal Q&A platforms or search tools.
- Academics: To analyze legal questions and statutory provisions across different legal areas.
Dataset Name Suggestions
- Belgian Legal Q&A Retrieval Dataset
- BSARD: Statutory Article Mapping
- Law Information Retrieval Corpus - Belgium
- Legal Query Article Pairing Dataset
Attributes
Original Data Source: Belgian Legal Q&A Retrieval Dataset
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