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| import os | |
| from huggingface_hub import HfApi | |
| # Info to change for your repository | |
| # ---------------------------------- | |
| TOKEN = os.environ.get("TOKEN", "") # A read/write token for your org | |
| OWNER = "AIR-Bench" # "nan" # Change to your org - don't forget to create a results and request dataset, with the correct format! | |
| # ---------------------------------- | |
| REPO_ID = f"{OWNER}/leaderboard" | |
| # repo for storing the evaluation results | |
| RESULTS_REPO = f"{OWNER}/eval_results" | |
| # repo for submitting the evaluation | |
| SEARCH_RESULTS_REPO = f"{OWNER}/search_results" | |
| # If you setup a cache later, just change HF_HOME | |
| CACHE_PATH = os.getenv("HF_HOME", ".") | |
| # Local caches | |
| EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval_results") | |
| API = HfApi(token=TOKEN) | |