HandNet / preview /samples.schema.json
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Document the CC BY 4.0 release and add a native preview dataset
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{
"previewOnly": true,
"rows": 96,
"bytes": 3306503,
"features": {
"sample_id": {
"dtype": "string",
"_type": "Value"
},
"split": {
"dtype": "string",
"_type": "Value"
},
"variant": {
"dtype": "string",
"_type": "Value"
},
"pair_key": {
"dtype": "string",
"_type": "Value"
},
"session": {
"dtype": "string",
"_type": "Value"
},
"frame_idx": {
"dtype": "int64",
"_type": "Value"
},
"global_frame_idx": {
"dtype": "int64",
"_type": "Value"
},
"source_archive": {
"dtype": "string",
"_type": "Value"
},
"source_member": {
"dtype": "string",
"_type": "Value"
},
"source_mat_sha256": {
"dtype": "string",
"_type": "Value"
},
"unit": {
"dtype": "string",
"_type": "Value"
},
"point_count": {
"dtype": "int64",
"_type": "Value"
},
"rotation_degrees": {
"dtype": "float64",
"_type": "Value"
},
"sensor_names": {
"feature": {
"dtype": "string",
"_type": "Value"
},
"length": 6,
"_type": "Sequence"
},
"sensor_xyz_mm": {
"feature": {
"feature": {
"dtype": "float32",
"_type": "Value"
},
"length": 3,
"_type": "Sequence"
},
"length": 6,
"_type": "Sequence"
},
"sensor_heatmap_peak_uv": {
"feature": {
"feature": {
"dtype": "int64",
"_type": "Value"
},
"length": 2,
"_type": "Sequence"
},
"length": 6,
"_type": "Sequence"
},
"sensor_projected_uv": {
"feature": {
"feature": {
"dtype": "float32",
"_type": "Value"
},
"length": 2,
"_type": "Sequence"
},
"length": 6,
"_type": "Sequence"
},
"sensor_rotations_rowmajor": {
"feature": {
"feature": {
"dtype": "float32",
"_type": "Value"
},
"length": 9,
"_type": "Sequence"
},
"length": 6,
"_type": "Sequence"
},
"bbox": {
"feature": {
"dtype": "float32",
"_type": "Value"
},
"length": 4,
"_type": "Sequence"
},
"depth_display_min_mm": {
"dtype": "float32",
"_type": "Value"
},
"depth_display_max_mm": {
"dtype": "float32",
"_type": "Value"
},
"depth": {
"decode": false,
"_type": "Image"
},
"infrared": {
"decode": false,
"_type": "Image"
},
"labels": {
"decode": false,
"_type": "Image"
},
"preview_note": {
"dtype": "string",
"_type": "Value"
}
},
"description": "HandNet derived 96-row visualization preview. Deterministic stratified subset: 24 test original plus 24 matched perturbed, 16 validation original plus 16 matched derotated, 16 training derotated. Depth and IR are contrast-rendered preview PNGs; labels use a fixed palette. Source archives retain raw MATLAB arrays and all original data. Six sensors: thumb, index, middle, ring, little, palm. Camera coordinates are in millimetres, +X right, +Y down, +Z away.",
"sourceManifest": "space-data/samples.json",
"validation": "96 rows, Hugging Face schema metadata, Dataset.from_parquet round trip and first embedded image bytes verified."
}