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Release manifest

Included

  • user-authored Python notebook and validation utilities;
  • kernel metadata and data-mount smoke tests;
  • compact run/provenance receipts that contain no competition samples;
  • links and checks for obtaining the original data from Kaggle.

Excluded

  • raw/, processed/, submissions/, runs/, and logs/;
  • archive files, model weights, and generated prediction artifacts;
  • virtual environments, bytecode, credentials, and machine-local settings.

Reproducibility contract

After gaining access through the official competition page, acquire data into a private local directory, set the paths expected by the notebook, and run the included validation commands. Never use this public repository as evidence that a reader is permitted to obtain, redistribute, or train on the original competition data.