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- ⚖️ **Splits:**
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- Validation split (~50%) for experimentation and model fine-tuning.
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- Test split (~50%) with hidden ground-truths for public leaderboard evaluation.
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- 🔎 **Annotation Quality:** All images
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- 🏅 **Evaluation Metric:** Semantic-aware Trace Score, combining Dynamic Time Warping distance, goal endpoint error, and embodiment-conditioned semantic penalties.
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## Uses
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- ⚖️ **Splits:**
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- Validation split (~50%) for experimentation and model fine-tuning.
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- Test split (~50%) with hidden ground-truths for public leaderboard evaluation.
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- 🔎 **Annotation Quality:** All images are manually collected, labeled with instructions as well as traces, and reviewed by human experts.
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- 🏅 **Evaluation Metric:** Semantic-aware Trace Score, combining Dynamic Time Warping distance, goal endpoint error, and embodiment-conditioned semantic penalties.
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## Uses
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