Datasets:
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
biology
chemistry
drug-discovery
clinical-trials
protein-protein-interaction
gene-essentiality
License:
| """Download CTO binary outcome labels from HuggingFace. | |
| CTO (Clinical Trial Outcome) provides 125K+ trial outcome labels | |
| derived via weak supervision (GPT-3.5 + news sentiment + stock prices). | |
| Source: Gao et al. 2026 (Nature Health) | |
| License: MIT | |
| Usage: | |
| python scripts_ct/download_cto.py | |
| """ | |
| from pathlib import Path | |
| from negbiodb.download import download_file_http, load_config, verify_file_exists | |
| def main(): | |
| cfg = load_config() | |
| dl = cfg["ct_domain"]["downloads"]["cto"] | |
| dest = Path(dl["dest"]) | |
| print("=== CTO Outcome Labels Download ===") | |
| print(f"Dest: {dest}") | |
| download_file_http(dl["url"], dest, desc="CTO outcome labels") | |
| if not verify_file_exists(dest, min_bytes=10000): | |
| raise ValueError(f"CTO file too small or missing: {dest}") | |
| size_mb = dest.stat().st_size / (1024**2) | |
| print(f"Downloaded: {dest} ({size_mb:.1f} MB)") | |
| print("\nCTO download complete.") | |
| if __name__ == "__main__": | |
| main() | |