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---
license: mit
---
# DMS-Fold2 Benchmark Dataset
This repository contains the benchmark datasets used to evaluate **DMS-Fold2**. The files are organized into two benchmark sets:
- **CASP/CAMEO targets** (`casp_cameo_targets/`)
- **Mega-scale targets** (`megascale_targets/`)
Each target includes the sequence and experimental data required to reproduce the benchmark inputs.
## Directory Structure
```text
paper_benchmarks/
├── casp_cameo_targets/
│ ├── alignments.tar.gz
│ ├── fastas/
│ ├── pdbs/
│ ├── dm_csvs/
│ └── sm_csvs/
└── megascale_targets/
├── alignments.tar.gz
├── fastas/
├── pdbs/
├── dm_csvs/
└── sm_csvs/
```
## Contents
### `alignments.tar.gz`
Compressed archive containing one directory per protein target with precomputed multiple sequence alignments (MSAs).
### `fastas/`
FASTA sequences for each benchmark protein.
### `pdbs/`
PDB files for each benchmark protein.
### `dm_csvs/`
Double-mutant deep mutational scanning (DMS) datasets used as input to DMS-Fold2.
### `sm_csvs/`
Single-mutant deep mutational scanning (DMS) datasets used as input to DMS-Fold2.
## Benchmark Sets
### `megascale_targets`
Benchmark proteins selected from the Mega-scale DMS collection.
### `casp_cameo_targets`
Benchmark proteins from CASP14, CASP15, and CAMEO.
## Citation
If you use this dataset, please cite the accompanying DMS-Fold2 publication.
``` TBD
```
[![Static Badge](https://img.shields.io/badge/DMS--Fold2-GitHub-blue)](https://github.com/LindertLab/DMS-Fold2)
[![Static Badge](https://img.shields.io/badge/DMS--Fold2-Weights-green)](https://huggingface.co/LindertLab/DMS-Fold2)
[![Static Badge](https://img.shields.io/badge/DMS--Fold2-Training--Dataset-yellow)](https://huggingface.co/datasets/LindertLab/DMS-Fold2-Training-Dataset)