Datasets:
Download validate.py from invariant-computing-lab/icl-r5-structured-plans: direct link, hf CLI and curl.
- Browser
- Download file 1.28 kB
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https://huggingface.co/datasets/invariant-computing-lab/icl-r5-structured-plans/resolve/main/validate.py
- Command line
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hf download hf://datasets/invariant-computing-lab/icl-r5-structured-plans/validate.py
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curl -L -o validate.py https://huggingface.co/datasets/invariant-computing-lab/icl-r5-structured-plans/resolve/main/validate.py
1.28 kB
| from pathlib import Path | |
| import json,gzip,hashlib,itertools | |
| R=Path(__file__).resolve().parent/'data';m=json.loads((R/'DATA_MANIFEST.json').read_text());counts={};groups={};worlds={} | |
| expected={'train':20000,'validation':2000,'id':2000,'long':2000,'counterfactual':4000} | |
| for row in m['files']: | |
| p=R/row['file'];assert p.stat().st_size==row['bytes'] and hashlib.sha256(p.read_bytes()).hexdigest()==row['sha256'] | |
| split=row['file'].split('.')[0];g=set();w=set();ids=set();n=0 | |
| with gzip.open(p,'rt',encoding='utf-8') as f: | |
| for line in f: | |
| x=json.loads(line);assert x['split']==split and x['example_id'] not in ids;ids.add(x['example_id']);g.add(x['semantic_group_id']);w.add(x['world_id']);n+=1 | |
| assert n==expected[split];counts[split]=n;groups[split]=g;worlds[split]=w | |
| for_other=None | |
| intersections={} | |
| for a,b in itertools.combinations(expected,2): | |
| intersections[a+'|'+b]={'groups':len(groups[a]&groups[b]),'worlds':len(worlds[a]&worlds[b])};assert not any(intersections[a+'|'+b].values()) | |
| print(json.dumps({'status':'PASS','rows':counts,'total_rows':sum(counts.values()),'unique_groups':sum(map(len,groups.values())),'split_intersections':intersections,'scope':'Stored file hashes, row schema identifiers and split separation; not retraining or new semantic AST proof'},indent=2)) | |