---
license: mit
tags:
- chemistry
- biology
pretty_name: PeptideMTR Pretraining Data
size_categories:
- 100M<n<1B
---

# PeptideMTR Training Data
This repository contains the dataset for the **PeptideMTR** paper. It is designed for SMILES encoder models trained by masked-language modeling (MLM) and/or multi-target regression (MTR) tasks, focusing on mapping peptide sequences to biochemical properties.

Link to the manuscript will be added here when available.

## Dataset Summary
The dataset includes peptide sequences paired with **99 RDKit-derived descriptors** representing various physicochemical properties (e.g., molecular weight, LogP, surface area, and charge descriptors).

## Data Structure
* `SMILES`: The SMILES representation of the molecule.
* `descriptors`: 99 continuous numerical features generated via RDKit.

## Usage
To use this dataset with the Hugging Face `datasets` library:

```python
from datasets import load_dataset

ds = load_dataset("your-username/PeptideMTR_training_data")
```