records_dir string | accepted_jsonl string | accepted_parquet string | accepted_count int64 | split_counts dict | domain_counts dict | errors list | ok bool |
|---|---|---|---|---|---|---|---|
data/uniprot_fot/authored/records | data/uniprot_fot/authored/accepted/accepted_records.jsonl | data/uniprot_fot/authored/accepted/accepted_records.parquet | 8 | {
"train": 8
} | {
"biochemistry": 3,
"biomedicine": 2,
"molecular_biology": 1,
"medicinal_chemistry": 1,
"biophysics": 1
} | [] | true |
UniProt Forest-of-Thought Graphification for ToricGT
This repository stores Parquet-first biological graph/FoT curation artifacts for ToricGT. The current upload is an initial deterministic graphification sample, not the final authored reasoning corpus.
Raw upstream Parquet data is not uploaded in this initial push. Local raw sources remain organized by symlink under the ToricGT data tree and require separate license review before redistribution.
Files
derived/*.parquetgraphified source-data slicesauthored/accepted/accepted_records.parquetwhen authored records are presentauthored/accepted/validation_report.jsonauthored/records/*.jsoninspectable handwritten source recordsmanifests/uniprot_fot_build_manifest.jsonschema/uniprot_fot_record.schema.jsonLOCAL_README.mdauthored/README.mdauthored/progress_log.mdGOAL.md
Current Local Build
- Repository:
AmelieSchreiber/uniprot_fot - Derived sample records:
1200 - Raw datasets scanned:
6 - Raw Parquet files scanned:
168 - Readable raw Parquet files:
167 - Raw rows indexed in manifest:
99138803
Format
Each row contains flat loader columns plus graph_json, forest_json, metadata_json, hashes, split cluster metadata, and quality flags. Graph JSON records include directed nodes/edges, GFlowNet reward metadata, continuous embedding proxies, TokenGT/TropicalGT/ToricGT fields, active support nodes, and leakage-resistant split metadata.
Safety And License Notes
Biomedical content is for model-training curation and mechanism-focused annotation reasoning, not patient-specific medical advice. Source licenses and redistribution rights must be reviewed before uploading larger raw-derived corpora.
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