proskill1017_dataset_train / meta /obj_labels.json
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{
"version": 3,
"obj_to_id": {
"none": 0,
"bread": 1,
"kettle": 2,
"cup": 3
},
"id_to_obj": {
"0": "none",
"1": "bread",
"2": "kettle",
"3": "cup"
},
"scope": "all encoded skills and all exported label CSVs",
"frame_fields": {
"obj_id": "int64",
"obj": "string"
},
"rule": {
"pickplace1_atomic/grasp": "bread",
"pickplace2_merged_atomic/grasp": "bread",
"pour1_atomic/grasp": "kettle",
"pour2_atomic/grasp": "kettle",
"stack1_atomic/grasp": "cup",
"stack2_atomic/grasp": "cup",
"other_skills": "none when source annotation absent; applied to both encoded data and CSV"
},
"none": "explicit none category, obj_id=0, obj_onehot=[1,0,...,0] with 16 dimensions",
"onehot_dimension": 16,
"reserved_ids": [
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
],
"extension_policy": "Assign new categories to unused IDs in 0..15; preserve all existing IDs; update codebook and names without resizing fields. Reserved slots are zero until assigned.",
"csv_missing_obj_policy": "Missing source obj is explicitly none/0 in encoded Parquet and CSV; obj_was_missing=1 preserves source missingness."
}