Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Size:
10M - 100M
Tags:
biology
License:
| 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 | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("hazemessam/prostt5_dataset") | |
| ``` |