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---
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).
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