Datasets:

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Erfan-Nourbakhsh

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GenAI-EdSent

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This Pull Request significantly enhances the GenAI-EdSent dataset card by integrating extensive information from its GitHub repository and updating its metadata.

Key improvements include:

• Comprehensive Metadata:
  • Corrected license to cc-by-4.0 to reflect the dataset's actual license (data is CC-BY, code is MIT).
  • Added task_categories: ['text-classification', 'text-generation'] to reflect the dataset's use in sentiment analysis and text generation tasks.
  • Included language: en and relevant tags (sentiment-analysis, education, generative-ai, app-reviews) for better discoverability.
• Enriched Content:
  • Integrated the detailed "Overview", "Research at a Glance", "Key Findings", "Methodology", "Results", and "Future Directions" directly from the GitHub README, providing a complete understanding of the project and dataset.
  • Added clear "Installation" instructions and "Sample Usage" code snippets for sentiment classification, key point extraction, and theme generation, copied verbatim from the GitHub README.
  • Included relevant badges and image links from the GitHub README.
• Essential Links:
  • Added a direct link to the associated paper: https://huggingface.co/papers/2512.11934
  • Maintained the link to the GitHub repository: https://github.com/erfan-nourbakhsh/GenAI-EdSent (also serving as the project page).
• Updated Citation: Replaced the placeholder citation with the complete BibTeX entry from the GitHub README, including the Hugging Face paper URL.
• Authors and Contact: Information about the researchers and contact details has been added to provide better context.

These updates make the dataset card much more informative, discoverable, and user-friendly on the Hugging Face Hub.