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| # Splits | |
| The unit is the **scene**, never a frame: an episode's frames differ by one | |
| click, so splitting them apart tests memorisation. | |
| ## What is held out, and what it cost | |
| A held-out split is not a dial. Its size is the footprint of the attribute, | |
| because a valid "unseen X" claim needs *every* scene containing X out of | |
| training — not only the scenes you want to test on. | |
| | axis | held out | observations | asks | | |
| | --- | --- | ---: | --- | | |
| | `test_app` | `gnome-system-monitor` | 11,350 | an unseen *category* | | |
| | | `pluma` | 15,733 | an unseen *instance* beside three seen text editors | | |
| | | `xarchiver` | 15,221 | an unseen *instance* beside file-roller | | |
| | `test_theme` | `quartz_night_nord` | 46,730 | unseen desktop chrome | | |
| | `test_resolution` | `retina_2880x1800` | 69,213 | unseen scale and aspect ratio | | |
| `eog` was a fourth candidate — the unseen category "image viewer". It is not | |
| held out: it appears in 109,454 observations against 11,352 for | |
| `gnome-system-monitor`, and both answer the same question. Dropping it returned | |
| 94,326 observations to training and gave up no claim the design still makes. | |
| `retina_2880x1800` is **not** the cheapest resolution — `uhd_3840x2160` is, at | |
| 4.83% against 7.06%. UHD is the densest supervision in the corpus, with the | |
| smallest text and the most elements per screen, and training needs it more than | |
| the split does. Of the candidates that leave UHD in training, 2880×1800 is both | |
| the cheapest and the sharper test: it is one of only two 16:10 resolutions, so | |
| holding it out leaves training a single 16:10 scale. | |
| ## Zero leakage, and how it is checked | |
| Over the **union of applications across every frame of a scene**. One capture of | |
| a scene can miss an application another capture of it saw; keying on a single | |
| frame is exactly how three held-out applications leaked into train in an earlier | |
| build. The union is taken over *publishable* frames only, since a frame the | |
| release drops cannot leak — one scene turned on that distinction, where the | |
| held-out application launched only in a copy that failed quality checks. | |
| `scripts/verify_hf_release.py` re-checks this against the packed payload and | |
| fails the release if any held-out attribute reaches `train`. | |
| ## Scenes the finalized split never placed | |
| `splits_v3.jsonl` covers the 1,067,799 state-train-eligible observations. This | |
| release carries every *publishable* observation, 1,207,368, so 12,515 scenes | |
| needed a split it never assigned. They get one from the same rules in the same | |
| priority (`test_app`, then `test_theme`, then `test_resolution`, else `train`), | |
| and every existing v3 assignment is preserved exactly — verified per split. | |
| `val` and `test_id` are **never** enlarged. They are a finalized random sample; | |
| growing them after the fact would change what a number measured against them | |
| means. | |
| ## Occlusion is a reporting axis, not a split | |
| Holding out occluded scenes would remove the capability the corpus exists to | |
| demonstrate. Report it as a degradation curve over `test_id` instead: | |
| | occluded ratio | share of observations | | |
| | --- | ---: | | |
| | none | 2.3% | | |
| | 0–10% | 15.6% | | |
| | 10–25% | 27.5% | | |
| | 25%+ | 54.6% | | |
| Median 0.284, p90 0.743, p99 0.930. Window count is available as `n_windows` for | |
| the same purpose. | |