Datasets:
Create download_data.py
Browse files- data/download_data.py +36 -0
data/download_data.py
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from huggingface_hub import hf_hub_download
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import zipfile
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import os
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def download_and_extract_videos(dataset_name, output_dir, domain):
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# Create output directory if it doesn't exist
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os.makedirs(output_dir, exist_ok=True)
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# Download the zip file
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# print(f"Downloading {zip_filename} from the dataset...")
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zip_path = hf_hub_download(
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repo_id=dataset_name,
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filename=f"data/videos_{domain}.zip",
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repo_type="dataset",
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local_dir=output_dir,
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)
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# Extract the zip file
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with zipfile.ZipFile(zip_path, 'r') as zip_ref:
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for file_info in zip_ref.infolist():
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extracted_path = os.path.join(output_dir, file_info.filename)
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if file_info.filename.endswith('/'):
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os.makedirs(extracted_path, exist_ok=True)
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else:
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os.makedirs(os.path.dirname(extracted_path), exist_ok=True)
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with zip_ref.open(file_info) as source, open(extracted_path, "wb") as target:
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target.write(source.read())
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print(f"Videos extracted to {output_dir}")
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# Usage
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dataset_name = "viddiff/viddiff"
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output_dir = "."
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domains = ("surgery", "fitness")
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for domain in domains:
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download_and_extract_videos(dataset_name, output_dir, domain)
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