metadata

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
    })
})