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Datasets:
Spravil
/
g400m

Tasks:
Image-to-Text
Modalities:
Image
Tabular
Text
Formats:
parquet
Sub-tasks:
image-captioning
Languages:
German
English
Size:
100M - 1B
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
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metadata 
license: cc-by-4.0
task_categories:
  - image-to-text
language:
  - de
  - en
task_ids:
  - image-captioning
pretty_name: G400M
size_categories:
  - 100M<n<1B
source_datasets:
  - mlfoundations/datacomp_xlarge

Dataset Card for G400M

G400M is a German language image-text dataset with 400M image-text pairs extracted from the xlarge pool of DataComp. The data is filtered and balanced using the algorithm applied by MetaCLIP, that is:

  1. Build a collection of 500k strings (namely the metadata) from the German Wikipedia.
  2. Filter the data pool for German and English data using fastText.
  3. Apply substring matching to the captions with the metadata.
  4. Sample the image-text pairs using the algorithm by MetaCLIP with the (magic) target number per metadata entry of 20k.

We follow DataComp and distribute the image url-text samples and metadata under a standard Creative Common CC-BY-4.0 license. The individual images are under their own copyrights.