Datasets:
Download code/v4_fetch.py from kitaniai/OpenJudgment-4B-Preview: direct link, hf CLI and curl.
- Browser
- Download file 1.94 kB
-
https://huggingface.co/datasets/kitaniai/OpenJudgment-4B-Preview/resolve/main/code/v4_fetch.py
- Command line
-
hf download hf://datasets/kitaniai/OpenJudgment-4B-Preview/code/v4_fetch.py
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curl -L -o v4_fetch.py https://huggingface.co/datasets/kitaniai/OpenJudgment-4B-Preview/resolve/main/code/v4_fetch.py
1.94 kB
| """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') | |