Datasets:
Correct Levels 4/5 admission labels: Level 5 is admitted and difficulty-matched in all five domains; Level 4 is confirmed in four of five (mathir is not difficulty-matched). The published labels had been copied from each frozen dataset identity, which is not revised after confirmation. No data file is changed.
c154698 verified |
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| # ModeBench Levels 4 and 5 | |
| Ten configs extending the ModeBench release with two harder difficulty levels, | |
| five domains each, in the same row surface as Levels 1-3: `problem`, `answer` | |
| (an executable specification carrying its own `verifier`), and | |
| `answer_mode_count`. | |
| ## Admission status | |
| **Level 5 is admitted.** All five domains cleared held-out confirmation against | |
| 128 fresh rows each, 4096 attempts per domain, replayed through the original | |
| graders, with worst margins of 0.43 to 0.92 of tolerance. Level 5 carries the | |
| same warrant as Levels 1-3. | |
| **Level 4 cleared four of five and is not admitted.** Countdown, graph colouring, | |
| pantry and python factors are difficulty-matched at 0.20, 0.34, 0.81 and 0.32 of | |
| tolerance. MathIR missed its pass@1 gate at 1.07 of tolerance: it measured 0.0864 | |
| against a 0.0437 target on a 0.04 tolerance. A Level 4 MathIR result should not be | |
| reported as difficulty-matched; the other four Level 4 domains may be. | |
| The Level 4 MathIR dataset is sound and verified — the target is what is out of | |
| reach. It pairs pass@1 0.0437 with pass@8 0.2402, a heterogeneity gap of 0.060, | |
| while every 7B MathIR construction measured runs a gap of 0.169 to 0.398: | |
| success concentrates on few prompts, so raising pass@8 into its band drives | |
| pass@1 through its ceiling and the two gates cannot be satisfied together. | |
| Three difficulty mechanisms were measured — family choice, binding magnitude and | |
| denominator structure — and all fail the same way. The same law is | |
| difficulty-matched at 14B and ships in Level 5. | |
| ## Splits | |
| | level | domains | train | dev | eval | | |
| | --- | --- | --- | --- | --- | | |
| | 4 | 5 | 384 | 128 | 128 | | |
| | 5 | 5 | 384 | 128 | 128 | | |
| Every split was verified against the row digest frozen in its dataset identity, | |
| then round-tripped through Parquet and re-read to confirm rows, feature types | |
| and column order are unchanged. | |
| ## Configs | |
| - `level4_countdown` — difficulty-matched: yes, status `heldout_confirmed_difficulty_matched` | |
| - `level4_graph_coloring` — difficulty-matched: yes, status `heldout_confirmed_difficulty_matched` | |
| - `level4_mathir` — difficulty-matched: **no**, status `heldout_confirmed_not_difficulty_matched` | |
| - `level4_pantry_plan` — difficulty-matched: yes, status `heldout_confirmed_difficulty_matched` | |
| - `level4_python_factors` — difficulty-matched: yes, status `heldout_confirmed_difficulty_matched` | |
| - `level5_countdown` — difficulty-matched: yes, status `admitted_difficulty_matched` | |
| - `level5_graph_coloring` — difficulty-matched: yes, status `admitted_difficulty_matched` | |
| - `level5_mathir` — difficulty-matched: yes, status `admitted_difficulty_matched` | |
| - `level5_pantry_plan` — difficulty-matched: yes, status `admitted_difficulty_matched` | |
| - `level5_python_factors` — difficulty-matched: yes, status `admitted_difficulty_matched` | |