README.md

metadata

dataset: vladak/CentralDogma
language:
  - en
task_categories:
  - text-classification
task_ids:
  - multi-input-text-classification
pretty_name: CentralDogma Dataset
tags:
  - LUCAONE
  - Bioinformatics
  - Protein
  - Gene
  - RNA
  - Interaction

Dataset Card for CentralDogma

Summary

The CentralDogma dataset is part of the LUCAONE downstream tasks collection for biomolecular interaction prediction. It is structured for binary classification and includes standard splits for training (train.csv), validation (dev.csv → val), and test (test.csv).

Dataset Structure

This dataset includes three splits:

• train
• val (converted from dev.csv)
• test

Each split is in CSV format.

Task

Binary classification of interactions between biomolecular entities.

Source Path

Original download path: http://47.93.21.181/lucaone/DownstreamTasksDataset/dataset/CentralDogma/gene_protein/binary_class/

Example Use

from datasets import load_dataset

ds = load_dataset("vladak/CentralDogma")
print(ds["train"][0])

License

Please refer to the LUCAONE repository or contact the authors for licensing terms. https://www.biorxiv.org/content/10.1101/2024.05.10.592927v1.full.pdf