Datasets:

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lil-lab

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respect

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Cornell LIL Lab 9

This pull request significantly improves the dataset card for the lil-lab/respect dataset.

Key changes include:

• Metadata Update: Added task_categories (conversational, text-generation) and tags (reinforcement-learning-from-human-feedback, dialogue, conversational-ai, preference-alignment) to enhance discoverability and provide better context for the dataset.
• Content Overhaul: The existing minimal content has been replaced with a comprehensive overview:
  • A descriptive title for the dataset.
  • An introductory paragraph summarizing the paper's core contributions and the dataset's purpose.
  • Updated the paper link to the official Hugging Face Papers page: https://huggingface.co/papers/2509.25137.
  • Added links to the project page: https://lil-lab.github.io/respect.
  • Added links to the GitHub repository: https://github.com/lil-lab/respect.
  • Included a "Sample Usage" section with Python code snippets, directly sourced from the GitHub README, demonstrating how to load both the dataset and associated model checkpoints, thereby facilitating easier access and utilization for researchers.

These additions make the dataset card much more informative, discoverable, and user-friendly for the Hugging Face community.