Datasets:
File size: 1,041 Bytes
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# Working with the Metadata
The metadata files are in parquet format, and contain the following attributes:
- `id`: A unique identifier for the image.
- `url`: The URL of the image.
- `s3_key`: The S3 file key of the image.
- `caption`: A caption for the image.
- `md5_hash`: The MD5 hash of the image file.
- `mime_type`: The MIME type of the image file.
- `width`: The width of the image in pixels.
- `height`: The height of the image in pixels.
- `license_type`: The URL of the license.
#### Open a metadata file
The files are in parquet format, and can be opened with a tool like `pandas` in Python.
```python
import pandas as pd
df = pd.read_parquet('spawning-15m-metadata.001.parquet')
```
#### Get URLs from metadata
Once you have opened a maetadata file with pandas, you can get the URLs of the images with the following command:
```python
urls = df['url']
```
#### Get S3 File Keys from metadata
You can also get the S3 file keys, which can be used to download the images using the S3 CLI:
```python
s3_keys = df['s3_key']
``` |