metadata
pretty_name: SABmark
language:
- en
tags:
- protein
- sequence-alignment
- structural-biology
task_categories:
- other
configs:
- config_name: twi
description: Twilight subset (<25% identity)
data_files:
- split: test
path: twi.jsonl
- config_name: sup
description: Superfamilies subset
data_files:
- split: test
path: sup.jsonl
- config_name: twi_fp
description: Twilight with added false positives
data_files:
- split: test
path: twi_fp.jsonl
- config_name: sup_fp
description: Superfamilies with added false positives
data_files:
- split: test
path: sup_fp.jsonl
- config_name: all
description: All subsets combined
data_files:
- split: test
path: all.jsonl
SABmark (Hugging Face Port)
Benchmark for protein sequence alignment under remote homology.
Subsets
sup: low-to-intermediate identitytwi: very low identity (<25%)sup_fp: superfamilies with added false positivestwi_fp: twilight with added false positivesall: union of the above
Features
pair_id,group_id,set_nameseq1_id,seq2_id,seq1,seq2ref_alignment: list of index pairs[[i, j], ...](0-based)percent_identity,scop_labels,meta
Usage
from datasets import load_dataset
ds = load_dataset("DeepFoldProtein/SABmark", name="twi", split="test")
ex = ds[0]
print(ex["seq1"], ex["seq2"], ex["ref_alignment"][:5])
Citation
Please cite:
@article{VanWalle2004SABmark,
title={SABmark---a benchmark for sequence alignment that covers the entire known fold space},
author={Van Walle, Ivan and Lasters, Ignace and Wyns, Lode},
journal={Bioinformatics},
volume={21},
number={7},
pages={1267--1268},
year={2004},
publisher={Oxford University Press},
DOI = {10.1093/bioinformatics/bth493}
}
dataset_infos.json — stub (optional but nice)
{
"twi": {
"description": "SABmark Twilight subset (<25% identity).",
"features": {
"pair_id": {"dtype": "string", "_type": "Value"},
"group_id": {"dtype": "string", "_type": "Value"},
"set_name": {"names": ["twi", "sup", "twi_fp", "sup_fp"], "_type": "ClassLabel"},
"seq1_id": {"dtype": "string", "_type": "Value"},
"seq2_id": {"dtype": "string", "_type": "Value"},
"seq1": {"dtype": "string", "_type": "Value"},
"seq2": {"dtype": "string", "_type": "Value"},
"ref_alignment": {"feature": {"feature": {"dtype": "int32", "_type": "Value"}, "_type": "Sequence"}, "_type": "Sequence"},
"percent_identity": {"dtype": "float32", "_type": "Value"},
"scop_labels": {"feature": {"dtype": "string", "_type": "Value"}, "_type": "Sequence"},
"meta": {"dtype": "string", "_type": "Value"}
}
}
}