Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-input-text-classification
Languages:
English
Size:
1K - 10K
metadata
dataset: vladak/InfA
language:
- en
task_categories:
- text-classification
task_ids:
- multi-input-text-classification
pretty_name: InfA Dataset
tags:
- LUCAONE
- Bioinformatics
- Protein
- Gene
- RNA
- Interaction
Dataset Card for InfA
Summary
The InfA
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 fromdev.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/InfA/gene_gene/binary_class/
Example Use
from datasets import load_dataset
ds = load_dataset("vladak/InfA")
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