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import requests
from pathlib import Path
import pandas as pd
from typing import Tuple, List
# Mock data for demonstration - in a real implementation, this would load from a dataset hub
def is_model_on_hub(model_name: str) -> Tuple[bool, str]:
"""
Check if a model exists on Hugging Face Hub.
Returns (is_on_hub, error_message)
"""
try:
# For demo purposes, we'll accept any model name that contains a slash
if "/" not in model_name:
return False, "Model name must be in format 'username/model_name'"
# In a real implementation, you would check the Hugging Face API
# response = requests.get(f"https://huggingface.co/api/models/{model_name}")
# return response.status_code == 200, ""
return True, ""
except Exception as e:
return False, f"Error checking model: {str(e)}"
def upload_file(filename: str, filepath: Path) -> None:
"""
Upload a file to the dataset hub.
In a real implementation, this would upload to Hugging Face Hub.
"""
# For demo purposes, we'll just print the upload
print(f"Uploading {filename} from {filepath}")
# In a real implementation, you would use the Hugging Face Hub API
pass
def load_all_info_from_dataset_hub() -> Tuple[Path, List[str], Path, None]:
"""
Load evaluation queue, requested models, and results from dataset hub.
Returns (eval_queue_repo, requested_models, jsonl_results, multilingual_jsonl_path)
"""
# Create mock data for demonstration
eval_queue_repo = Path("evaluation_queue")
requested_models = []
# Create a sample JSONL with ImageNet-1k results
jsonl_results = Path("imagenet_results.jsonl")
return eval_queue_repo, requested_models, jsonl_results, None
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