Datasets:
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---
language:
- fr
license: mit
size_categories:
- 1M<n<10M
task_categories:
- text-generation
pretty_name: Tiny Molière
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 2387600
num_examples: 1
download_size: 2387600
dataset_size: 2387600
configs:
- config_name: default
data_files:
- split: train
path: data/tinymoliere.txt
tags:
- literature
- french-literature
- moliere
- classical-text
- character-level
---
# tiny-moliere
A dataset repo generating `tinymoliere.txt` containing Molière's complete work.
Inspired by [tinyshakespeare](https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt) by Andrej Karpathy, this project provides a consolidated small text corpus ideal for training and learning with small transformer models.
## What it does
Downloads Molière's complete works from public PDFs, processes them to remove headers/footers and table of contents, then outputs a single clean text file suitable for machine learning tasks.
## Usage
```bash
uv sync
uv run python main.py
```
This will:
1. Download the source PDFs to `data/` directory
2. Process and clean the text
3. Generate `data/tinymoliere.txt` |