---
tags:
- trl
---

# TL;DR Dataset

## Summary

The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the [TRL library](https://github.com/huggingface/trl) for summarization tasks. It leverages the common practice on Reddit where users append "TL;DR" (Too Long; Didn't Read) summaries to lengthy posts, providing a rich source of paired text data for training summarization models.

## Data Structure

- **Format**: [Standard](https://huggingface.co/docs/trl/main/dataset_formats#standard)
- **Type**: [Prompt-completion](https://huggingface.co/docs/trl/main/dataset_formats#prompt-completion)

Columns:
- `"pompt"`: The unabridged Reddit post.
- `"completion"`: The concise "TL;DR" summary appended by the author.

This structure enables models to learn the relationship between detailed content and its abbreviated form, enhancing their summarization capabilities.

## Generation script

The script used to generate this dataset can be found [here](https://github.com/huggingface/trl/blob/main/examples/datasets/tldr.py).