license: other
pretty_name: SKEMPI v2
size_categories:
- 1K<n<10K
task_categories:
- other
language:
- en
tags:
- biology
- proteins
- binding-affinity
- mutation
- skempi
- jsonl
SKEMPI v2
SKEMPI v2 protein-protein binding affinity mutation dataset, normalized to newline-delimited JSON with row-level provenance.
Processed and uploaded by the MegaData post-download pipeline (internal repo). Original source: https://life.bsc.es/pid/skempi2.
Statistics
| Table files | 1 |
| Total rows | 7,085 |
| Total bytes | 5.86 MiB (6,148,969) |
Tables
| Table | Rows | Bytes |
|---|---|---|
labeled_skempi2_skempi_v2.csv.jsonl |
7,085 | 5.86 MiB |
Layout
.
├── _MANIFEST.json # aggregate manifest (per-table counts)
└── tables/<source_slug>.jsonl # normalized rows (one JSON object per line)
Each line in a tables/*.jsonl file is a JSON object with at least
dataset_id, row (the raw upstream row), row_index, and source_file
fields, so every row carries its upstream provenance.
Loading
hf download LiteFold/SKEMPI2 --repo-type dataset --local-dir ./skempi2
Programmatic streaming:
import json
from pathlib import Path
from huggingface_hub import snapshot_download
local = snapshot_download(repo_id="LiteFold/SKEMPI2", repo_type="dataset")
for jsonl in sorted(Path(local, "tables").glob("*.jsonl")):
with jsonl.open() as f:
for line in f:
row = json.loads(line)
... # row["row"] is the upstream record
License
See upstream SKEMPI v2 license.
Citation
Jankauskaite J, et al. SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation. Bioinformatics, 35(3):462-469, 2019.
Provenance
Built from the local manifest entry skempi2 of manifests/atlas_download_plan.json.
Pipeline source: megadata-post normalize --dataset skempi2 --tables-only.