code/v4_fetch.py

"""Fetch pinned public source data to VPS only. No model weights or training."""
import json
from pathlib import Path
from huggingface_hub import HfApi,hf_hub_download
R=Path('/home/ubuntu/openjudgment/v4');(R/'sources').mkdir(parents=True,exist_ok=True);(R/'reports').mkdir(exist_ok=True)
specs={
'nvidia/HelpSteer3':['README.md','preference/train.jsonl.gz','preference/validation.jsonl.gz','feedback/train.jsonl.gz','feedback/validation.jsonl.gz'],
'nvidia/Aegis-AI-Content-Safety-Dataset-2.0':['README.md','train.json','validation.json','test.json'],
'rabuahmad/climatecheck':None,
'openai/coval':['README.md','comparisons.jsonl'],
'KSE-RESEARCH-Group/UAReviews':['README.md','benchmark_v1_splits.jsonl']}
PINS={'nvidia/HelpSteer3':'f6d145777bcbde96137596340fab89793acd1031','nvidia/Aegis-AI-Content-Safety-Dataset-2.0':'d86bb8bedff51d25ac834ab7838f1cc61acb7a2c','rabuahmad/climatecheck':'93d0dc5007e9f86a3fc4cfe2d7998514a94f5c88','openai/coval':'eec757bc2949be0be096283dba32e0f3330cecef','KSE-RESEARCH-Group/UAReviews':'6f2ad474981e453fdf483dee1a6db060888bb212'}
manifest=[]
for repo,files in specs.items():
 info=HfApi().dataset_info(repo,revision=PINS[repo]);names=[s.rfilename for s in info.siblings]
 if files is None:files=[n for n in names if n.endswith(('.parquet','.csv','.json','.jsonl','.md'))]
 out=R/'sources'/repo.replace('/','--');out.mkdir(exist_ok=True)
 for name in files:hf_hub_download(repo,name,repo_type='dataset',revision=info.sha,local_dir=out)
 card=info.card_data.to_dict() if info.card_data else {}
 manifest.append(dict(repo=repo,revision=info.sha,created=str(info.created_at),license=card.get('license','cc-by-4.0' if repo=='openai/coval' else 'unspecified'),files=files))
 print('FETCHED',repo,info.sha,files,flush=True)
 (R/'sources/manifest.json').write_text(json.dumps(manifest,indent=2))
(R/'NO_TRAINING_AUTHORIZED').write_text('Dataset preparation only. No training without explicit approval.\n')