paper_awm / schema.json
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{
"version": "1.0",
"description": "Distillation data collected from PPO training",
"fields": {
"sample_id": {
"type": "str",
"description": "Unique sample identifier"
},
"global_step": {
"type": "int",
"description": "Global training step"
},
"actor_rank": {
"type": "int",
"description": "Actor process rank"
},
"env_rank": {
"type": "int",
"description": "Environment rank"
},
"episode_id": {
"type": "str",
"description": "Episode identifier"
},
"t": {
"type": "int",
"description": "Time step index (0..T-1)"
},
"b": {
"type": "int",
"description": "Batch index (0..B-1, where B=rollout_epoch*batch)"
},
"main_image": {
"type": "ndarray",
"dtype": "uint8",
"shape": "[H, W, C]",
"nullable": true
},
"wrist_image": {
"type": "ndarray",
"dtype": "uint8",
"nullable": true
},
"proprio": {
"type": "ndarray",
"dtype": "float32",
"nullable": true
},
"prompt_text": {
"type": "str",
"nullable": true
},
"prompt_token_ids": {
"type": "ndarray",
"dtype": "int64",
"nullable": true
},
"prompt_attention_mask": {
"type": "ndarray",
"dtype": "int64",
"nullable": true
},
"action_chunk": {
"type": "ndarray",
"dtype": "float32",
"shape": "[5, 7]"
},
"value_t": {
"type": "float",
"nullable": true
},
"value_t1": {
"type": "float",
"nullable": true
},
"delta_v": {
"type": "float",
"nullable": true
},
"has_valid_delta_v": {
"type": "bool"
},
"reward_t": {
"type": "float",
"nullable": true
},
"done_t": {
"type": "bool"
},
"success": {
"type": "bool"
}
}
}