anon2435/CoPeP-sample

CoPeP Reviewer Sample

This repository contains a compact deterministic sample of anon2435/CoPeP for reviewer inspection. It is intended for checking file format, schema, and example records without downloading the full dataset.

Contents

• train/train_sample.parquet: deterministic stratified train-row sample.
• val/val.parquet: full validation parquet from the anonymous CoPeP release.
• dataset_manifest.json: sampling details, row counts, and limitations.

The train sample preserves the main dataset train-row schema: name, sequence, seq_hash, task_0 through task_9, and row_idx.

Sampling

Rows are grouped by first observed temporal task, defined as the first true task_0 through task_9 column. Up to 10,000 rows are selected per group using a deterministic score derived from seq_hash, row_idx, and a fixed seed.

This sample is not a drop-in replacement for the full dataset. It does not include task split files, because those files reference row indices in the full training table.