Datasets:
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# Working with the Metadata
## Downloading all the metadata files at once
Install the huggingface-cli utility (via pip). You may then use the following command:
huggingface-cli download Spawning/PD12M --repo-type dataset --local-dir metadata --include "metadata/*"
## metadata format
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.
- `hash`: The MD5 hash of the image file.
- `width`: The width of the image in pixels.
- `height`: The height of the image in pixels.
- `mime_type`: The MIME type of the image file.
- `license`: The URL of the license.
- `source`: The source organization of the image.
#### 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('pd12m.000.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']
```
### Download all files mentioned in metadata
If you want to just grab all files referenced by a metadata collection, you may try this (adjust to taste):
img2dataset --url_list $file --input_format "parquet" \
--url_col "url" --caption_col "caption" --output_format files \
--output_folder $dir --processes_count 16 --thread_count 64 \
--skip_reencode true --min_image_sizel 654 --max_aspect_ratio=1.77
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