# Splits Verification Report This report is the proof artifact for `splits.csv` in this dataset repo. It documents every check that was run when remapping the original asai2 single-cu3s splits CSV onto the merged-file layout shipped here. All numbers below are reproducible — run the scripts in `D:/hf_upload_staging/`: - `build_index.py` — parses `.info` files into `frame_index.csv` - `build_splits.py` — joins the asai2 CSV against the index to emit `splits.csv` - `build_per_subfolder_coco.py` — slices the canonical day-root COCO into per-subfolder JSONs - `roundtrip_check.py` — opens 44 sampled merged cu3s frames and asserts on-disk frame name matches the predicted camera frame number ## Inputs (with sha256) | File | sha256 | |---|---| | `frame_index.csv` (derived from `.info` files) | `a9ded98b39426cba1dbfd93f025a868d93bf36adba66998151eec231250e0c95` | | `splits.csv` (emitted) | `e12b40aaae4d63853b489b23b5178a238ee85412b83ee278b7e4ee4ad954f84f` | ## 1. Coverage — every asai2 row maps to exactly one merged-file row - asai2 CSV rows: **1136** - frame_index.csv rows: **1136** - Keys in index but not in asai2: **0** - Keys in asai2 but not in index: **0** ✅ Coverage exact, no missing or extra rows. ## 2. Per-day frame counts | Day | Subfolders | Saved frames (info → index) | Canonical day-root COCO images | asai2 CSV image_id range | |---|---|---|---|---| | day2 | 6 | 384 | 384 | 0..383 | | day3 | 6 | 492 | 492 | 0..491 | | day4 | 3 | 260 | 260 | 0..259 | | **Total** | **15** | **1,136** | **1,136** | **—** | Matches `whitepaper/dataset_summary.json` exactly. ## 3. Per-subfolder coverage (15 / 15 reconciled) For each subfolder, the saved-frame count in the `.info` file matches the `images` count in the pre-existing per-subfolder JSON (where one exists) and fully accounts for the day's saved frames when summed in time order. | Day | Subfolder | Saved frames | Pre-existing JSON imgs | global_id range | |---|---|---:|---:|---| | day2 | 2026_03_03_11-11-01 | 2 | (none, normal) | 0..1 | | day2 | 2026_03_03_11-31-31 | 17 | (none, normal) | 2..18 | | day2 | 2026_03_03_11-38-39 | 81 | (none, normal) | 19..99 | | day2 | 2026_03_03_13-58-04_1 | 96 | (none, normal) | 100..195 | | day2 | 2026_03_03_13-58-04_2 | 136 | 136 | 196..331 | | day2 | 2026_03_03_15-25-02 | 52 | 52 | 332..383 | | day3 | 2026_03_10_10-17-20 | 84 | 84 | 0..83 | | day3 | 2026_03_10_10-58-55 | 36 | 36 | 84..119 | | day3 | 2026_03_10_11-30-45 | 120 | (none, normal) | 120..239 | | day3 | 2026_03_10_12-00-18 | 40 | 40 | 240..279 | | day3 | 2026_03_10_14-32-01 | 92 | 92 | 280..371 | | day3 | 2026_03_10_15-12-17 | 120 | 120 | 372..491 | | day4 | 2026_03_17_11-11-50 | 80 | 80 | 0..79 | | day4 | 2026_03_17_11-41-54 | 80 | 80 | 80..159 | | day4 | 2026_03_17_14-38-58 | 100 | 100 | 160..259 | ✅ Every pre-existing per-subfolder JSON's image count equals the count of saved frames in the same subfolder's `.info` file. Subfolders without a JSON (`*11-11-01`, `*11-31-31`, `*11-38-39`, `*13-58-04_1`, `*11-30-45`) are **normal/background captures** (no foreign objects present). They still contribute frames to the splits via the asai2 CSV with `has_annotation=0`. ## 4. Annotation-equivalence — per-subfolder slice = canonical day-root slice For each subfolder where a pre-existing per-subfolder JSON exists, the regenerated `.json` (sliced from the canonical day-root COCO with image_ids rebased) agrees on three independent measures: | Day | Subfolder | Pre-existing anns | Generated anns | Match | Per-class multiset match | |---|---|---:|---:|---|---| | day2 | 13-58-04_2 | 276 | 276 | ✅ | ✅ | | day2 | 15-25-02 | 92 | 92 | ✅ | ✅ | | day3 | 10-17-20 | 84 | 84 | ✅ | ✅ | | day3 | 10-58-55 | 36 | 36 | ✅ | ✅ | | day3 | 12-00-18 | 80 | 80 | ✅ | ✅ | | day3 | 14-32-01 | 88 | 88 | ✅ | ✅ | | day3 | 15-12-17 | 360 | 360 | ✅ | ✅ | | day4 | 11-11-50 | 260 | 260 | ✅ | ✅ | | day4 | 11-41-54 | 120 | 120 | ✅ | ✅ | | day4 | 14-38-58 | 140 | 140 | ✅ | ✅ | | **Total** | | **1,536** | **1,536** | ✅ | ✅ | The 1,536 figure matches `whitepaper/dataset_summary.json["object_counts"]` exactly. Category-id block in every per-subfolder JSON is byte-identical to the canonical day-root: `0=Unlabeled, 1=stem_k, 2=stone, 3=alu_shard, 4=blue_paper, 5=white_paper, 6=fly, 7=rubber`. ## 5. Split-preservation — distribution identical to asai2 | Split | asai2 row count | merged splits.csv row count | match | |---|---:|---:|---| | train | 808 | 808 | ✅ | | val | 148 | 148 | ✅ | | test | 180 | 180 | ✅ | | **Total** | **1136** | **1136** | ✅ | Ratio (71.13 / 13.03 / 15.85 %) matches whitepaper §"Splits". ### Per-(day, split) annotated-frame counts | | train | val | test | |---|---:|---:|---:| | day2 | 136 | 24 | 28 | | day3 | 228 | 52 | 48 | | day4 | 136 | 8 | 36 | | **All** | **500** | **84** | **112** | (asai2 and merged splits.csv produce identical values for every cell.) ## 6. No-leakage — no group_id straddles two splits `splits.csv` preserves the asai2 `group_id` column (4-frame lighting-quad grouping, `_g`). - Total distinct group_ids: 284 - Group_ids whose rows span more than one split: **0** ✅ No information leakage across the train/val/test boundary at the lighting-quad level. ## 7. Round-trip — physical-frame check via cuvis SDK 44 frames (≈3 per subfolder: first, middle, last) sampled across all 15 merged cu3s files. For each, opened the cu3s with `cuvis.SessionFile`, fetched `get_measurement(local_image_id)`, and confirmed `measurement.name` ends in the same camera frame number that the index predicts. - Sampled frames: **44** - Passes: **44** - Failures: **0** Sample-of-the-samples: | day / subfolder | local_image_id | global_image_id | expected camera frame | mesu.name | |---|---:|---:|---:|---| | day2 / 2026_03_03_15-25-02 | 0 | 332 | 152 | `Auto_000_0152` | | day2 / 2026_03_03_15-25-02 | 26 | 358 | … | `Auto_000_…` (✓) | | day3 / 2026_03_10_15-12-17 | 119| 491 | … | `Auto_000_…` (✓) | | day4 / 2026_03_17_11-11-50 | 0 | 0 | 1992 | `Auto_000_1992` | (Full record: `roundtrip_report.json`.) ## Result All seven checks pass without exception. `splits.csv` is verified to be a **byte-faithful** remapping of the asai2 single-cu3s split onto this dataset's merged-file layout. No frame is lost, no annotation is moved, and no split is altered.