---
dataset_info:
  features:
  - name: titulo
    dtype: string
  - name: resumen
    dtype: string
  - name: facultad
    dtype: string
  splits:
  - name: train
    num_bytes: 13520606
    num_examples: 10021
  - name: validation
    num_bytes: 1707168
    num_examples: 1253
  - name: test
    num_bytes: 1701241
    num_examples: 1253
  download_size: 9560798
  dataset_size: 16929015
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- text-classification
language:
- es
tags:
- scientific
size_categories:
- 10K<n<100K
---

# 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.

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## 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).

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## 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. |

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## 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

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## 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.

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## License

**CC BY 4.0** — Attribution required for redistribution or derivative use.

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