Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "mrr": 0.016023479050338015, | |
| "median_rank": 172.0, | |
| "mean_rank": 174.67816091954023, | |
| "num_queries": 348, | |
| "top1_accuracy": 0.0028735632183908046, | |
| "top5_accuracy": 0.011494252873563218, | |
| "top10_accuracy": 0.014367816091954023, | |
| "task": "caption_grounding", | |
| "input": "caption objects/interaction text query + candidate sensor windows", | |
| "output": "matching time window", | |
| "split": "chronological", | |
| "num_train_windows": 813, | |
| "num_test_windows": 348, | |
| "task_display_name": "Language Grounding" | |
| } | |