# Dataset provenance and handling ## Source Development used the Kaggle dataset: - **Project Euler Questions and Solutions** - Creator: Dheeraj M Pai - URL: https://www.kaggle.com/datasets/dheerajmpai/projecteuler - Version observed: 1, last updated July 3, 2023 - Size: 773,683 bytes - License shown by Kaggle API: **CC BY-NC-SA 4.0** The Kaggle description says the dataset is intended for educational/non-commercial use and was shared with permission from the Project Euler team. Users remain responsible for checking the current dataset page, license, and Project Euler terms. ## Why the data is not committed The machine repository is Apache-2.0. Bundling a CC BY-NC-SA corpus inside the package would create attribution, non-commercial, and share-alike obligations that should not be silently collapsed into the code license. The local importer preserves provenance while keeping generated data ignored. ## Observed archive structure ```text Solutions.md.txt answer lines shaped like: . euler/.html problem statements ``` Observed counts: - 849 HTML problem files - 840 parsed answers - 840 IDs with both question and answer - 20 questions referencing external document resources - 163 questions containing image references - 663 answer-covered questions with neither document nor image references These counts describe the inspected archive and are not hard-coded expectations. ## External resources Some questions cannot be solved from the HTML alone. For example, problem 22 references `resources/documents/0022_names.txt`. `prepare.py --fetch-resources` retrieves referenced document-like resources from `https://projecteuler.net/` and caches them under local ignored data. Images are recorded separately. Some are decorative or redundant, such as problem 15's lattice illustration. Others may contain essential information. Before a long run, audit each newly reached image-bearing problem and either provide an accessible textual equivalent or mark it unavailable. ## Leakage boundary `data/problems.jsonl` contains answers. It is evaluator-only and must never be copied into a rollout workspace or included with `@file` in Pi. Each workspace receives only: - the selected question text; - its assigned language/approach instructions; - explicitly required resource files. Raw rollouts may reveal answers and therefore also remain ignored. ## Contamination Project Euler questions and answers are public and likely represented in pretraining corpora. Baseline success can reflect recall. Mitigations include measuring pre-training forward transfer, requiring executable solutions, inspecting code, creating parameterized variants, and reporting unrelated held-out benchmarks.