Datasets:
# 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'] | |
``` |