declare-lab/MELD

• highreadme#1

  Reposition the dataset download link and clarify the repo's official status

  原因：

  当前

  The README's initial content immediately after the main title is a 'Note' section that promotes other projects and then lists the MELD download link among other 'fire' updates.

  复制粘贴的修复

  复制

  This is the official GitHub repository for the MELD (Multimodal EmotionLines Dataset), a widely used resource for emotion recognition in conversation research.
  
  **Download the MELD Dataset:**
  You can download the full MELD dataset directly from Hugging Face:
  ```https://huggingface.co/datasets/declare-lab/MELD```
  
  ## Updates

  待办完成忽略
• mediumhomepage#2

  Add a homepage URL to the repository metadata

  原因：

  复制粘贴的修复

  复制

  https://huggingface.co/datasets/declare-lab/MELD

  待办完成忽略
• lowreadme#3

  Reorganize the 'Note' section to prioritize MELD-specific information

  原因：

  当前

  The 'Note' section appears immediately after the main title, listing other projects before the MELD download link.

  复制粘贴的修复

  复制

  Move the cross-promotional links (AlgoPuzzleVQA, MM-Align, conv-emotion) to a new section further down the README, perhaps titled 'Related Projects' or 'Other Work from declare-lab', after the core MELD dataset information, leaderboard, and updates.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find a dataset for training AI to recognize emotions in multi-party dialogues?

  你：未被推荐
  AI 推荐顺序：

  1. IEMOCAP (Interactive Emotional Dyadic Motion Capture) Dataset
  2. MSP-IMPROV (Multi-modal Spontaneous Speech Corpus for Emotion Recognition in Human-Computer Interaction)
  3. MELD (Multi-modal EmotionLines Dataset)
  4. DailyDialog
  5. EmoContext (from SemEval-2019 Task 3)
  6. CMU-MOSEI (CMU Multimodal Opinion Sentiment and Emotion Intensity)

  AI 推荐了 6 个替代方案，却始终没点名 declare-lab/MELD。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What resources exist for multimodal sentiment analysis and emotion detection in conversational AI?

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face Transformers
  2. OpenSMILE
  3. Librosa
  4. SpeechBrain
  5. TensorFlow
  6. PyTorch
  7. VADER
  8. Flair

  AI 推荐了 8 个替代方案，却始终没点名 declare-lab/MELD。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of declare-lab/MELD?

  pass
  ✓AI 明确点名了 declare-lab/MELD

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts declare-lab/MELD in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 declare-lab/MELD

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo declare-lab/MELD solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 declare-lab/MELD

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？