| { |
| "schema_version": "mindview_evaluation_protocol_v1", |
| "split": "test", |
| "index": "data/test.jsonl", |
| "index_sha256": "de79a2a551d31117e4ad87b4cfaee7b47c032749743bba24ee162c3c9dc53383", |
| "examples": 1500, |
| "scenes": 513, |
| "tasks": { |
| "translation": "Translation", |
| "rotation": "Rotation", |
| "composition": "Composition", |
| "obj_loc": "Relational Object Grounding", |
| "loc-re-facing": "Target-Facing Reorientation", |
| "anchor_guided_relative_repositioning": "Object-Centric Repositioning", |
| "view_localization": "Multi-Cue Viewpoint Inference" |
| }, |
| "metrics": [ |
| "DINO-I", |
| "Semantic", |
| "Spatial", |
| "Quality", |
| "VGGT-RScore", |
| "VGGT-TScore" |
| ], |
| "metric_definitions": [ |
| { |
| "name": "dino_i", |
| "label": "DINO-I (x100)", |
| "source": "clip_dino", |
| "field": "dino_i", |
| "scale": 100.0, |
| "raw_range": [ |
| -1.0, |
| 1.0 |
| ], |
| "direction": "higher" |
| }, |
| { |
| "name": "semantic", |
| "label": "Semantic", |
| "source": "qwen_vl", |
| "field": "semantic_score_100", |
| "scale": 1.0, |
| "raw_range": [ |
| 0.0, |
| 100.0 |
| ], |
| "direction": "higher" |
| }, |
| { |
| "name": "spatial", |
| "label": "Spatial", |
| "source": "qwen_vl", |
| "field": "spatial_score_100", |
| "scale": 1.0, |
| "raw_range": [ |
| 0.0, |
| 100.0 |
| ], |
| "direction": "higher" |
| }, |
| { |
| "name": "quality", |
| "label": "Visual Quality", |
| "source": "qwen_vl", |
| "field": "visual_quality_score_100", |
| "scale": 1.0, |
| "raw_range": [ |
| 0.0, |
| 100.0 |
| ], |
| "direction": "higher" |
| }, |
| { |
| "name": "vggt_rscore", |
| "label": "VGGT-RScore", |
| "source": "vggt", |
| "field": "rscore_0_100", |
| "scale": 1.0, |
| "raw_range": [ |
| 0.0, |
| 100.0 |
| ], |
| "direction": "higher" |
| }, |
| { |
| "name": "vggt_tscore", |
| "label": "VGGT-TScore", |
| "source": "vggt", |
| "field": "tscore_0_100", |
| "scale": 1.0, |
| "raw_range": [ |
| 0.0, |
| 100.0 |
| ], |
| "direction": "higher" |
| } |
| ], |
| "per_metric_aggregation": "Mean within each task, then equal-weight mean over the seven tasks.", |
| "overall_aggregation": "Unweighted arithmetic mean of the six task-macro primary metric scores on their reported scales.", |
| "auxiliary_metrics_excluded_from_overall": [ |
| "CLIP-I" |
| ], |
| "generation_inputs": "Use only the ordered reference RGB inputs and instruction prescribed by each test record.", |
| "scoring_index": "evaluation/references.jsonl", |
| "scoring_reference_count": 10, |
| "scoring_reference_order": "Frozen ordered references; do not replace with the generator's shorter input list.", |
| "held_out_target": "Target RGB and depth are evaluation assets; never provide them as generator inputs.", |
| "depth": { |
| "storage": "Original unsigned 16-bit PNG sensor depth", |
| "unit": "millimeter", |
| "invalid_values": [ |
| 0, |
| 65535 |
| ], |
| "runtime_meter_conversion_divisor": 1000 |
| }, |
| "context_scaling": "Separate optional experiment; do not pool its configurations into the official score.", |
| "runtime_integration_status": "pending_validation_of_official_split_entrypoint", |
| "runtime_caveat": "Historical report configurations are tied to a combined 4500-record index and cannot be assumed compatible by substituting this test index alone." |
| } |
|
|
