Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Size:
10M - 100M
Tags:
biology
License:
metadata
license: mit
task_categories:
- text2text-generation
tags:
- biology
Dataset Details
Dataset Description
The original dataset is encoded using ProstT5 tokenizer, this version is decoded to be used for training without preprocessing.
Dataset Sources
- Repository: [https://huggingface.co/datasets/Rostlab/ProstT5Dataset]
- Paper [optional]: [https://www.biorxiv.org/content/10.1101/2023.07.23.550085v1]
How to use
from datasets import load_dataset
ds = load_dataset("hazemessam/prostt5_dataset")