Datasets:
Download calibforge_v3/patch.py from FWeindel/validated-tasks: direct link, hf CLI and curl.
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- Download file 2.14 kB
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https://huggingface.co/datasets/FWeindel/validated-tasks/resolve/refs%2Fpr%2F32/calibforge_v3/patch.py
- Command line
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hf download hf://datasets/FWeindel/validated-tasks@refs/pr/32/calibforge_v3/patch.py
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curl -L -o patch.py https://huggingface.co/datasets/FWeindel/validated-tasks/resolve/refs%2Fpr%2F32/calibforge_v3/patch.py
2.14 kB
| """Reproduce CalibForge v3 incremental tasks and remaining-unsolved archive. | |
| Requires huggingface_hub and pyarrow. Does not rerun evaluation. | |
| """ | |
| import argparse,hashlib,json | |
| from pathlib import Path | |
| import pyarrow as pa,pyarrow.parquet as pq | |
| from huggingface_hub import hf_hub_download | |
| def build(out): | |
| s=json.loads((Path(__file__).parent/'metadata/selection.json').read_text()) | |
| p=hf_hub_download('FWeindel/validated-tasks',s['source_folder']+'/tasks.parquet',repo_type='dataset',revision=s['source_revision']) | |
| assert hashlib.sha256(Path(p).read_bytes()).hexdigest()==s['source_sha256'] | |
| t=pq.read_table(p,columns=['path','task_binary','content_sha256']);t=t.filter(pa.array([x in s['tasks'] for x in t['path'].to_pylist()]));ids=t['path'].to_pylist() | |
| for x,h in zip(ids,t['content_sha256'].to_pylist()):assert h==s['tasks'][x]['content_sha256'] | |
| for c,typ in [('qwen38_successes',pa.int64()),('qwen38_attempts',pa.int64()),('kept_from_v2',pa.bool_())]:t=t.append_column(c,pa.array([s['tasks'][x][c] for x in ids],type=typ)) | |
| out.mkdir(parents=True,exist_ok=True) | |
| for name,keep in [('tasks.parquet',True),('archive.parquet',False)]: | |
| a=t.filter(pa.array([s['tasks'][x]['kept']==keep for x in ids]));chosen=set(a['path'].to_pylist());m=dict(a.schema.metadata or {}) | |
| if b'ot.images.v1' in m: | |
| im=json.loads(m[b'ot.images.v1']);im['tasks']={k:v for k,v in im['tasks'].items() if k in chosen};used={e['bundle'] for v in im['tasks'].values() for e in v['environments']};im['bundles']={k:v for k,v in im['bundles'].items() if k in used};im['coverage']={'cached_tasks':len(im['tasks']),'total_tasks':len(chosen)} | |
| if 'uncached_task_ids' in im:im['uncached_task_ids']=sorted(chosen-set(im['tasks'])) | |
| m[b'ot.images.v1']=json.dumps(im).encode() | |
| m[b'ot.release.v3']=json.dumps({'layout':'incremental','kept':len(chosen),'baseline_folder':'calibforge_v2','baseline_revision':'a8acfde13cc1be1672da3d17ee70bc4d842b4c19'}).encode() | |
| pq.write_table(a.replace_schema_metadata(m),out/name,compression='zstd') | |
| if __name__=='__main__': | |
| p=argparse.ArgumentParser();p.add_argument('--out',type=Path,required=True);a=p.parse_args();build(a.out) | |