Update README.md

README.md

@@ -28,4 +28,102 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+license: cc-by-4.0
+task_categories:
+- text-classification
+language:
+- es
+tags:
+- scientific
 ---
+
+# Academic Knowledge Abstracts (Spanish)
+
+This dataset was built by scraping the institutional research repository of *Universidad del Rosario* (Colombia).  
+It contains Spanish-language academic abstracts labeled by the faculty of origin, enabling supervised training and evaluation for **faculty classification** and **domain-specific text modeling** tasks.
+
+---
+
+## Dataset Summary
+
+The objective of this dataset is to predict the **faculty or academic unit** of a paper based solely on its abstract.  
+We collected all available academic papers from the university’s institutional repository, focusing on **open-access** entries.  
+From these documents, we extracted:
+
+- The **abstract** (in Spanish)
+- **Authors**
+- **Publication year**
+- **Faculty / Department**
+
+After cleaning and normalization, each entry was labeled according to one of six main faculties:
+
+| Faculty | Number of Samples |
+|----------|------------------:|
+| Business Administration | 3,876 |
+| Medicine | 3,829 |
+| Government | 2,691 |
+| Law | 1,660 |
+| Economics | 1,076 |
+| Engineering | 115 |
+
+**Total:** 13,247 abstracts (after filtering and normalization).
+
+---
+
+## Languages
+
+- **Spanish (`es`)**
+
+---
+
+## Data Fields
+
+Each entry contains the following fields:
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `abstract` | `string` | The paper’s abstract in Spanish. |
+| `faculty` | `string` | One of six normalized faculty labels. |
+| `authors` | `string` | List of authors (if available). |
+| `year` | `int` | Publication year. |
+| `title` | `string` | Title of the academic paper. |
+| `source_url` | `string` | Original URL in the institutional repository. |
+
+---
+
+## Data Splits
+
+The dataset is provided with standard splits for supervised learning:
+
+| Split | Size |
+|-------|------:|
+| Train | 80% |
+| Validation | 10% |
+| Test | 10% |
+
+---
+
+## Use Cases
+
+This dataset can be used for:
+- **Text classification** (predicting academic discipline or faculty)
+- **Domain adaptation** of Spanish encoders
+- **Representation learning** in scientific Spanish corpora
+- **Educational analytics** and institutional knowledge modeling
+
+---
+
+## Ethical Considerations
+
+All texts were collected from *open-access academic publications* under public institutional repositories.  
+The dataset contains no personal or sensitive information beyond authorship metadata.
+
+Users should cite the source and respect institutional licenses when reusing or redistributing the dataset.
+
+---
+
+## License
+
+**CC BY 4.0** — Attribution required for redistribution or derivative use.
+
+---