---
license: cc-by-4.0
pretty_name: CoPeP Reviewer Sample
task_categories:
  - other
tags:
  - protein
  - biology
  - continual-learning
  - parquet
configs:
  - config_name: default
    data_files:
      - split: train
        path: train/train_sample.parquet
      - split: validation
        path: val/val.parquet
---

# 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.