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155702e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | #!/usr/bin/env python3
"""
Create a private HuggingFace dataset and upload leaderboard data.
"""
import os
import sys
from huggingface_hub import HfApi, create_repo
def main():
# Get token from environment
token = os.environ.get("HF_TOKEN")
if not token:
print("❌ Error: HF_TOKEN environment variable not set")
print("Please set it with: export HF_TOKEN=your_token_here")
sys.exit(1)
# Initialize API
api = HfApi(token=token)
# Repository details
repo_id = "OpenEvals/leaderboard-data"
repo_type = "dataset"
try:
# Create the repository (private)
print(f"📦 Creating private dataset: {repo_id}")
repo_url = create_repo(
repo_id=repo_id,
token=token,
repo_type=repo_type,
private=True,
exist_ok=True,
)
print(f"✅ Repository created/exists: {repo_url}")
# Upload the JSON file
print(f"📤 Uploading leaderboard.json...")
api.upload_file(
path_or_fileobj="data/leaderboard.json",
path_in_repo="leaderboard.json",
repo_id=repo_id,
repo_type=repo_type,
token=token,
commit_message="Update leaderboard data",
)
print(f"✅ File uploaded successfully!")
# Create README
readme_content = """---
license: mit
private: true
---
# Leaderboard Data
This is a private dataset containing benchmark leaderboard data.
## Files
- `leaderboard.json` - Main leaderboard data with model scores across 12 benchmarks
## Structure
The JSON file contains:
- `metadata`: Version, last updated timestamp, counts
- `benchmarks`: Benchmark definitions and metadata
- `models`: Array of model entries with scores
## Usage
This dataset is private and requires authentication to access.
```python
from huggingface_hub import hf_hub_download
file = hf_hub_download(
repo_id="OpenEvals/leaderboard-data",
filename="leaderboard.json",
repo_type="dataset",
token="your_token"
)
```
Or fetch directly via URL (requires auth token):
```
https://huggingface.co/datasets/OpenEvals/leaderboard-data/resolve/main/leaderboard.json
```
"""
print(f"📝 Creating README.md...")
api.upload_file(
path_or_fileobj=readme_content.encode(),
path_in_repo="README.md",
repo_id=repo_id,
repo_type=repo_type,
token=token,
commit_message="Add README",
)
print(f"✅ README created!")
print(f"\n🎉 Success! Dataset is ready at:")
print(f" https://huggingface.co/datasets/{repo_id}")
print(f"\n📋 Data URL (requires auth):")
print(
f" https://huggingface.co/datasets/{repo_id}/resolve/main/leaderboard.json"
)
except Exception as e:
print(f"❌ Error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()
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