README.md

---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 7017810
    num_examples: 7131
  - name: test
    num_bytes: 1751680
    num_examples: 1779
  download_size: 4836888
  dataset_size: 8769490
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: cc
task_categories:
- text-generation
- text-classification
- summarization
- text2text-generation
language:
- es
tags:
- spanish
- philosophy
- training
- classics
---

# Clasicos de Filosofia en Español

Extract of classic phylosophy texts in Spanish for training.
Trimed to 1280 characteres max per row to fit in my GPUs batches.
This dataset adds vocabulary richness and variety and could improve reasoning performance of LLMs.

* Apologia de Socrates 
* Aristoteles - Etica A Nicomaco 
* Aristoteles - Fisica 
* Aristoteles - Politica 
* Cartas filosoficas - Seneca
* Carta sobre la tolerancia y otros escritos - John Locke
* Criton - Platon
* Discurso del método - Descartes
* Immanuel Kant - Critica de la razon pura
* Immanuel Kant - Critica del juicio
* Los problemas de la filosofia - Bertrand Russell
* Sobre la felicidad - Seneca
* Spinoza - Filosofia practica
* Tratado de la naturaleza humana - David Hume


## Usage:
```
from datasets import load_dataset
dataset = load_dataset("ecastera/filosofia-es")
print(dataset)
```

Single column 'text' trimmed to 1280 chars max length.

## Dataset splits:

```
DatasetDict({
    train: Dataset({
        features: ['text'],
        num_rows: 7131
    })
    test: Dataset({
        features: ['text'],
        num_rows: 1779
    })
})
```