TL;DR Dataset for Preference Learning

  Summary

The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library for preference learning and Reinforcement Learning from Human Feedback (RLHF) 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 models to understand and generate concise… See the full description on the dataset page: https://huggingface.co/datasets/Kyleyee/trin_data_tldr_explicit_dataset.

TL;DR Dataset for Preference Learning

  Summary

The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library for preference learning and Reinforcement Learning from Human Feedback (RLHF) 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 models to understand and generate concise… See the full description on the dataset page: https://huggingface.co/datasets/Sivaganesh07/preference_dataset.

TL;DR Dataset for Preference Learning

  Summary

The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library for preference learning and Reinforcement Learning from Human Feedback (RLHF) 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 models to understand and generate concise… See the full description on the dataset page: https://huggingface.co/datasets/trl-lib/tldr-preference.

TL;DR Dataset for Preference Learning

  Summary

The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library for preference learning and Reinforcement Learning from Human Feedback (RLHF) 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 models to understand and generate concise… See the full description on the dataset page: https://huggingface.co/datasets/Sivaganesh07/preference_dataset1.

TL;DR Dataset for Preference Learning

  Summary

The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library for preference learning and Reinforcement Learning from Human Feedback (RLHF) 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 models to understand and generate concise… See the full description on the dataset page: https://huggingface.co/datasets/Sivaganesh07/preference_dataset2.