Datasets:
Modalities:
Text
Formats:
json
Size:
< 1K
ArXiv:
Tags:
benchmark
long-context
multi-hop-reasoning
source-internal-reasoning
evidence-withheld
document-qa
License:
| #!/usr/bin/env python3 | |
| import os | |
| from huggingface_hub import HfApi, upload_folder | |
| repo_id = os.environ.get("HF_REPO_ID", "CinderD/wildtrace") | |
| private = os.environ.get("HF_PRIVATE", "0").lower() in {"1", "true", "yes"} | |
| api = HfApi() | |
| api.create_repo(repo_id=repo_id, repo_type="dataset", private=private, exist_ok=True) | |
| upload_folder( | |
| folder_path="hf_release_wildtrace_strict481_20260621", | |
| repo_id=repo_id, | |
| repo_type="dataset", | |
| commit_message="Release WildTrace strict481 public package", | |
| ignore_patterns=["**/__pycache__/**", "**/.DS_Store"], | |
| ) | |
| print(f"uploaded dataset: https://huggingface.co/datasets/{repo_id}") | |