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import huggingface_hub
import datasets
import logging
def check_dataset_and_get_config(dataset_id):
try:
configs = datasets.get_dataset_config_names(dataset_id)
return configs
except Exception:
# Dataset may not exist
return None
def check_dataset_and_get_split(dataset_id, dataset_config):
try:
ds = datasets.load_dataset(dataset_id, dataset_config)
except Exception as e:
# Dataset may not exist
logging.warning(f"Failed to load dataset {dataset_id} with config {dataset_config}: {e}")
return None
try:
splits = list(ds.keys())
return splits
except Exception as e:
# Dataset has no splits
logging.warning(f"Dataset {dataset_id} with config {dataset_config} has no splits: {e}")
return None |