SKEMPI2 / README.md
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metadata
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.