corpuslib-topics / upload.py
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Upload folder using huggingface_hub
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#!/usr/bin/env python3
"""
CORPUSLIB Topics Dataset - HuggingFace Upload Script
Uploads the CORPUSLIB topic catalog to HuggingFace Hub
"""
import os
import json
from huggingface_hub import HfApi, login, create_repo, upload_folder
# Configuration
HF_USERNAME = "ctaxnagomi"
DATASET_NAME = "corpuslib-topics"
DATASET_DIR = os.path.dirname(os.path.abspath(__file__))
def main():
print("=" * 60)
print("CORPUSLIB Topics Dataset - HuggingFace Upload")
print("=" * 60)
print()
# Load token
token_path = os.path.expanduser("~/.cache/huggingface/token")
if os.path.exists(token_path):
with open(token_path, 'r') as f:
token = f.read().strip()
print(f"[OK] Token loaded from {token_path}")
else:
print("[ERROR] Token not found. Please run: huggingface-cli login")
return
# Initialize API
api = HfApi()
# Login
print("Logging in to HuggingFace...")
login(token=token)
print("[OK] Logged in")
# Create repository
repo_id = f"{HF_USERNAME}/{DATASET_NAME}"
print(f"Creating repository: {repo_id}")
try:
create_repo(
repo_id=repo_id,
repo_type="dataset",
token=token,
exist_ok=True
)
print(f"[OK] Repository created: https://huggingface.co/datasets/{repo_id}")
except Exception as e:
print(f"Repository may already exist: {e}")
# Upload folder
print(f"Uploading dataset from {DATASET_DIR}...")
try:
upload_folder(
repo_id=repo_id,
folder_path=DATASET_DIR,
repo_type="dataset",
token=token
)
print(f"[OK] Dataset uploaded successfully!")
print(f" URL: https://huggingface.co/datasets/{repo_id}")
except Exception as e:
print(f"[ERROR] Upload failed: {e}")
return
print()
print("=" * 60)
print("Upload complete!")
print("=" * 60)
if __name__ == "__main__":
main()