Datasets:
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Download tutorials/metadata.md from Spawning/PD12M: direct link, hf CLI and curl.
- Browser
- Download file 1.04 kB
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https://huggingface.co/datasets/Spawning/PD12M/resolve/5efbf9c0668cb303c636eb7a0c7e67f3fd4670ac/tutorials/metadata.md
- Command line
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hf download hf://datasets/Spawning/PD12M@5efbf9c0668cb303c636eb7a0c7e67f3fd4670ac/tutorials/metadata.md
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curl -L -o metadata.md https://huggingface.co/datasets/Spawning/PD12M/resolve/5efbf9c0668cb303c636eb7a0c7e67f3fd4670ac/tutorials/metadata.md
1.04 kB
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.
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:
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:
s3_keys = df['s3_key']