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# Working with the Metadata |
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The metadata files are in parquet format, and contain the following attributes: |
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- `id`: A unique identifier for the image. |
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- `url`: The URL of the image. |
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- `s3_key`: The S3 file key of the image. |
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- `caption`: A caption for the image. |
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- `md5_hash`: The MD5 hash of the image file. |
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- `mime_type`: The MIME type of the image file. |
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- `width`: The width of the image in pixels. |
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- `height`: The height of the image in pixels. |
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- `license_type`: The URL of the license. |
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#### Open a metadata file |
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The files are in parquet format, and can be opened with a tool like `pandas` in Python. |
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```python |
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import pandas as pd |
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df = pd.read_parquet('pd15m-metadata.001.parquet') |
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``` |
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#### Get URLs from metadata |
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Once you have opened a maetadata file with pandas, you can get the URLs of the images with the following command: |
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```python |
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urls = df['url'] |
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``` |
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#### Get S3 File Keys from metadata |
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You can also get the S3 file keys, which can be used to download the images using the S3 CLI: |
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```python |
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s3_keys = df['s3_key'] |
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``` |