| # KodCode |
|
|
| ## Curation |
|
|
| We prepare a 36,074-problem pool from KodCode-V1-SFT-4o (26,475 problems) and |
| KodCode-Light-RL-10K (9,599 problems). The recorded preparation process includes |
| deduplication by original question, interface repair, static checks, and |
| reference-solution execution checks. All released problems retain a historical |
| full-execution-pass flag; this is verification against the supplied tests, not |
| a guarantee that the tests cover every valid input. |
|
|
| SFT and RL share 35,974 training and 100 validation problems. The validation |
| problems all come from Light-RL-10K; they are not a source-stratified sample of |
| the combined pool. The earlier 37,881-answer diagnostic pool is not a separate |
| configuration in this release. |
|
|
| ## LLM-assisted annotation |
|
|
| We add algorithmic category annotations through an LLM API and retain the |
| classification reasons and review history alongside the data. The records |
| identify 7,564 reviewed annotations and 1,677 annotations changed during review. |
| These counts cover train and validation once, without double-counting the RL |
| representation of the same problems. |
|
|
| | Final recorded classifier | Problems | |
| |---|---:| |
| | `gpt-5.4-mini` | 28,492 | |
| | `gpt-5.4` | 7,472 | |
| | `gpt-4.1` | 110 | |
|
|
| These are the model identifiers stored in `classifier_model`, not a count of |
| all API calls. Review refers to the recorded classification stage; it should |
| not be interpreted as independent human verification. |
|
|
| The reviewed v1 primary categories and subcategories are mapped deterministically |
| into the ten-category v2 taxonomy. This mapping makes no additional API calls. |
| Definitions and mapping rules are in |
| [taxonomy.json](../metadata/kodcode/taxonomy.json). |
|
|
| | Fields | Meaning | |
| |---|---| |
| | `primary_category`, `taxonomy_version` | One final v2 category and its taxonomy version | |
| | `v1_primary_category`, `v1_subcategory` | Reviewed labels before the v2 mapping | |
| | `v1_alternative_category` | Optional alternative in the older taxonomy, not a second v2 label | |
| | `techniques` | Auxiliary free-text techniques, not additional primary labels | |
| | `rationale` | The reason for the classification, not the solution's reasoning trace | |
| | `classifier_model`, `classification_stage` | Recorded classifier and annotation stage | |
| | `was_reviewed`, `review_changed`, `v1_first_pass_category` | Review status and earlier classification | |
| | `confidence`, `v1_confidence` | Recorded annotation confidence, not a measured accuracy | |
| | `mapping_method` | How the final category was derived | |
|
|
| The original API prompts, request settings, and review-selection logic are not |
| included in this release. The annotations can be reused, but the API annotation |
| process cannot be rerun end to end from this package alone. |
|
|
| ## Reusing the experimental subsets |
|
|
| Historical main ablations remove the primary category only, then select a |
| recorded equal-size sample. They do not remove every problem mentioning that |
| category in its auxiliary techniques or alternative label. |
|
|
| ```bash |
| python scripts/build_kodcode.py --arm no_dynamic_programming --output arm.parquet |
| ``` |
|
|
| Run the command from the repository root. Use `--kind rl` for the corresponding |
| RL subset. The script exports the recorded membership rather than resampling. |
|
|
| `--source DIR` repackages a frozen, already labeled export; it does not rerun the |
| upstream cleaning or API annotation pipeline. Source revisions, file hashes, |
| and sample memberships are in [metadata/kodcode/](../metadata/kodcode/). |
|
|
