Add files using upload-large-folder tool
Browse files- README.md +84 -0
- _MANIFEST.json +17 -0
- tables/labeled_skempi2_skempi_v2.csv.jsonl +0 -0
README.md
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---
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license: other
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pretty_name: SKEMPI v2
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size_categories:
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- 1K<n<10K
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task_categories:
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- other
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language:
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- en
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tags:
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- biology
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- proteins
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- binding-affinity
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- mutation
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- skempi
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- jsonl
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---
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# SKEMPI v2
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SKEMPI v2 protein-protein binding affinity mutation dataset, normalized to newline-delimited JSON with row-level provenance.
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Processed and uploaded by the [MegaData](https://github.com/) post-download pipeline
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(internal repo). Original source: <https://life.bsc.es/pid/skempi2>.
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## Statistics
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| | |
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|---|---|
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| Table files | 1 |
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| Total rows | 7,085 |
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| Total bytes | 5.86 MiB (6,148,969) |
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## Tables
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| Table | Rows | Bytes |
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|---|---:|---:|
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| `labeled_skempi2_skempi_v2.csv.jsonl` | 7,085 | 5.86 MiB |
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## Layout
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```
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.
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├── _MANIFEST.json # aggregate manifest (per-table counts)
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└── tables/<source_slug>.jsonl # normalized rows (one JSON object per line)
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```
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Each line in a `tables/*.jsonl` file is a JSON object with at least
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`dataset_id`, `row` (the raw upstream row), `row_index`, and `source_file`
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fields, so every row carries its upstream provenance.
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## Loading
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```bash
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hf download LiteFold/SKEMPI2 --repo-type dataset --local-dir ./skempi2
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```
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Programmatic streaming:
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```python
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import json
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from pathlib import Path
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from huggingface_hub import snapshot_download
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local = snapshot_download(repo_id="LiteFold/SKEMPI2", repo_type="dataset")
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for jsonl in sorted(Path(local, "tables").glob("*.jsonl")):
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with jsonl.open() as f:
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for line in f:
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row = json.loads(line)
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... # row["row"] is the upstream record
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```
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## License
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See upstream SKEMPI v2 license.
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## Citation
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> 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.
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## Provenance
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Built from the local manifest entry `skempi2` of `manifests/atlas_download_plan.json`.
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Pipeline source: `megadata-post normalize --dataset skempi2 --tables-only`.
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_MANIFEST.json
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{
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"category": "labeled",
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"dataset_id": "skempi2",
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"format": "jsonl table rows with provenance",
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"tables": [
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{
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"bytes": 6148969,
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"category": "labeled",
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"dataset_id": "skempi2",
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"output_file": "data/processed/labeled/skempi2/tables/labeled_skempi2_skempi_v2.csv.jsonl",
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"rows": 7085,
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"source_file": "labeled/skempi2/skempi_v2.csv",
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"status": "regenerated"
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}
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],
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"total_rows": 7085
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}
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tables/labeled_skempi2_skempi_v2.csv.jsonl
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