Download validation.json from LinShan/EgoForesight-RoboTwin: direct link, hf CLI and curl.
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- Download file 3.54 kB
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https://huggingface.co/LinShan/EgoForesight-RoboTwin/resolve/main/validation.json
- Command line
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hf download hf://LinShan/EgoForesight-RoboTwin/validation.json
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curl -L -o validation.json https://huggingface.co/LinShan/EgoForesight-RoboTwin/resolve/main/validation.json
3.54 kB
| { | |
| "strict_native_load": true, | |
| "public_code_import_isolation": true, | |
| "checked_module_count": 42, | |
| "action_space_equivalent_to_source": true, | |
| "normalization_adapter_constructed": true, | |
| "execution_mode": "eef", | |
| "eef_representation": "absolute", | |
| "absolute_eef_decode_shape": [ | |
| 1, | |
| 48, | |
| 14 | |
| ], | |
| "sample_source": "three existing trusted RoboTwin dataset audit samples; not redistributed", | |
| "sample_preprocessing": "Current composite images retained; joint states inverted using the audit statistics and renormalized by the native deployment adapter with this checkpoint statistics. Prompts generated with native training_prompt for absolute camera-frame EEF control.", | |
| "samples": [ | |
| { | |
| "normalized_actions": { | |
| "shape": [ | |
| 1, | |
| 48, | |
| 130 | |
| ], | |
| "max_abs_difference": 0.0, | |
| "sha256": "4d7c058843d407789db6e1e944e1a29c24bc7f3c3418c7d162785472d16d0849" | |
| }, | |
| "predicted_future_vision": { | |
| "shape": [ | |
| 1, | |
| 120, | |
| 768 | |
| ], | |
| "max_abs_difference": 0.0, | |
| "sha256": "8329b54c77af24573c43f36eec57c379d7b8b1f0478ab6bdd3672e5240fc47de" | |
| }, | |
| "absolute_actions": { | |
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| 14 | |
| ], | |
| "max_abs_difference": 0.0, | |
| "sha256": "26a8985e7236305e494e9797ac2e31bfee4fe9ad372bde333c4592286cc43d7d" | |
| } | |
| }, | |
| { | |
| "normalized_actions": { | |
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| ], | |
| "max_abs_difference": 0.0, | |
| "sha256": "0f10002fa7ad384ace3f540b94cc2bb3c3bb712be860fa378e87edb950659814" | |
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| "predicted_future_vision": { | |
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| "max_abs_difference": 0.0, | |
| "sha256": "8af1b085039cb31d2b2ff6319f94240ec64c747c4df88ea4090cca98ebc37013" | |
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| "max_abs_difference": 0.0, | |
| "sha256": "0a9e27861bec7bc27a3235aa5e1fec9742fbe5c36bc1a2c8bf06e9aec08c2b6d" | |
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| { | |
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| "max_abs_difference": 0.0, | |
| "sha256": "176c41178fa655bfa5548a83d8b7b3154ad36d22c56442f57a15c0ae0a536f9a" | |
| }, | |
| "predicted_future_vision": { | |
| "shape": [ | |
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| 120, | |
| 768 | |
| ], | |
| "max_abs_difference": 0.0, | |
| "sha256": "87edf658f8b734a2577b05fa1c7787d2c183e0ee8484b1082ffee543d6223da3" | |
| }, | |
| "absolute_actions": { | |
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| ], | |
| "max_abs_difference": 0.0, | |
| "sha256": "9a4e7fb652da3cbecb358794b49ad424399579b5738a42b3b3675c3265e5c2f9" | |
| } | |
| } | |
| ], | |
| "reference": "original online checkpoint plus native apply_teacher(foresight_forcing)", | |
| "ema_tensors": 711, | |
| "inference_steps": 4, | |
| "inference_dtype": "bfloat16", | |
| "seeds": [ | |
| 42, | |
| 43, | |
| 44 | |
| ], | |
| "gpu": "NVIDIA H20D", | |
| "torch": "2.8.0+cu128", | |
| "simulator_rollouts": false, | |
| "packaging": { | |
| "date": "2026-10-21", | |
| "checkpoint_sha256": "9c773a96d5fc4f4afea681b7f3a15e71ab4e65a95c454f9a46c31f8f8a36571b", | |
| "checkpoint_bytes_unchanged": true, | |
| "dataset_statistics_sha256": "b16362828f582bd92535602a7b09adc947ef2952d04cbad033dcde454b386a72", | |
| "dataset_statistics_bytes_unchanged": true, | |
| "new_inference_or_training_run": false, | |
| "configuration_architecture_preserved": true | |
| } | |
| } | |