| # Dataset: Legal Documents from STJ for Jurimetrics Research | |
| ## Dataset Overview | |
| This dataset contains legal documents from the **Superior Tribunal de Justiça (STJ)**, designed for research in **jurimetrics**, automatic text summarization, and retrieval-augmented generation (RAG). The dataset focuses on the challenges posed by **hierarchical structures**, **legal vocabulary**, **ambiguity**, and **citations** in legal texts. | |
| ## Contents | |
| The dataset includes: | |
| - **Ementas (Summaries):** Concise summaries of legal decisions. | |
| - **Document Types:** Classified by resource types (e.g., appeals, decisions, opinions). | |
| - **Tokens Count:** Pre-calculated token counts for analyzing document lengths. | |
| - **Metadata:** Additional attributes such as document dates, involved parties, and court sections. | |
| ## Dataset Features | |
| | Feature Name | Description | Data Type | | |
| |----------------------|-------------------------------------------------|-------------| | |
| | `id` | Unique identifier for the document. | String | | |
| | `type_of_resource` | Type of the legal document (e.g., appeal). | String | | |
| | `ementa` | Summary of the legal decision. | String | | |
| | `full_text` | Full content of the legal decision. | String | | |
| | `token_count` | Number of tokens in the document summary. | Integer | | |
| | `date` | Date of the decision (YYYY-MM-DD). | Date | | |
| | `metadata` | Additional information (parties, sections). | JSON Object | | |
| ## Dataset Usage | |
| This dataset can be used for tasks such as: | |
| 1. **Automatic Text Summarization:** Evaluating algorithms for generating or refining summaries. | |
| 2. **Document Classification:** Identifying the type or category of legal documents. | |
| 3. **Retrieval-Augmented Generation (RAG):** Improving legal text retrieval and contextual generation. | |
| 4. **Token Analysis:** Studying the distribution and challenges of token lengths in legal summaries. | |
| ## Data Source | |
| The data is sourced from publicly available legal decisions on the **Superior Tribunal de Justiça (STJ)**. Preprocessing steps were applied to ensure data consistency and usability for machine learning models. | |
| **Note:** Ensure compliance with ethical and legal considerations regarding the use of public legal documents. | |
| ## How to Load the Dataset | |
| Using the Hugging Face `datasets` library: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("your-username/stj-legal-documents") | |
| print(dataset) | |