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README.md

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+# 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)