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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.
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