Improve dataset card: Add metadata, paper abstract, links, and sample usage

#2
by nielsr HF Staff - opened

This pull request significantly enhances the dataset card for ExpressiveSpeech by:

  • Adding language (en, zh), license (cc-by-nc-sa-4.0), task_categories (audio-classification, text-to-speech), tags (e.g., audio, speech, emotion, bilingual, tts, s2s, expressiveness), and size_categories (10K<n<100K) to the YAML metadata for improved discoverability and searchability, while preserving existing dataset configuration information.
  • Adding direct links to the associated paper (huggingface.co/papers/2510.20513) and GitHub repository (github.com/FreedomIntelligence/ExpressiveSpeech) at the top of the dataset card.
  • Integrating the paper abstract to provide immediate context about the dataset's purpose and methodology.
  • Including a "Sample Usage" section with practical code snippets for inference, directly extracted from the project's GitHub README.

These changes make the dataset card more informative, user-friendly, and compliant with Hugging Face Hub best practices.

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