To download and use the dataset effectively, follow this guide covering metadata retrieval, image scraping, and alternative hosting. 1. Download the CC12M Metadata
: Download the cc12m.tsv file (approx. 2.6GB) from the Google Research GitHub repository . Direct Command :
: The raw TSV file lacks headers. Use the following command to add them for better compatibility with data tools: sed -i '1s/^/url\tcaption\n/' cc12m.tsv Use code with caution. 2. Tools for Downloading Images
The official release consists of a metadata file containing image URLs and their corresponding captions. Google does not host the images directly due to copyright; you must download them from the provided links.
is a massive dataset of 12.4 million image-URL and text-caption pairs, specifically designed for vision-and-language pre-training. Unlike many datasets restricted by high-precision filtering, CC12M relaxes its collection pipeline to capture "long-tail" visual concepts that are often ignored in smaller datasets like CC3M.
Because many original URLs may have broken since the dataset's release in 2021, using a specialized tool is essential for speed and error handling. google-research-datasets/conceptual-12m - GitHub
wget https://storage.googleapis.com/conceptual_12m/cc12m.tsv Use code with caution.