trl-lib/tldr
TL;DR Dataset Summary The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library 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 Type: Prompt-completion Columns: "pompt": The unabridged Reddit… See the full description on the dataset page: https://huggingface.co/datasets/trl-lib/tldr.
| Author / organization | trl-lib |
|---|---|
| Downloads | 2.5K (as reported by Hugging Face) |
| Likes | 32 |
| Created | 22 August 2024 |
| Last updated at source | 8 January 2025 |
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