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
ropedia-xperience-10m-task-baselines / results /single_episode_diagnostics /modality_ablation /ablation_summary.json
| { | |
| "description": "Compact ridge-head ablation over real shared_windows.npz feature blocks.", | |
| "num_rows": 108, | |
| "num_computed": 108, | |
| "num_not_computed": 0, | |
| "groups": { | |
| "all_features": 8546, | |
| "video": 4116, | |
| "depth": 980, | |
| "pose_slam": 223, | |
| "motion_capture": 2121, | |
| "inertial": 42, | |
| "audio": 168, | |
| "language": 896, | |
| "no_language": 7650 | |
| }, | |
| "tasks": [ | |
| "timeline_action", | |
| "timeline_subtask", | |
| "transition_detection", | |
| "next_action", | |
| "hand_trajectory_forecast", | |
| "contact_prediction", | |
| "object_relevance", | |
| "caption_grounding", | |
| "cross_modal_retrieval", | |
| "modality_reconstruction", | |
| "temporal_order", | |
| "misalignment_detection" | |
| ], | |
| "object_relevance_labels": "annotation.hdf5" | |
| } |