VDBBench/multimodal-embedding-100M
Multimodal Embedding 100M This dataset contains a 100M-row multimodal embedding corpus generated from LAION-style image-text data exported with img2dataset as WebDataset shards. Images were resized to 256 during the WebDataset creation step before embedding generation. The dataset is intended for large-scale vector database ingestion, ANN index construction, nearest-neighbor search, and retrieval benchmark experiments. The dataset is stored as Parquet files and organized to keep… See the full description on the dataset page: https://huggingface.co/datasets/VDBBench/multimodal-embedding-100M.
Clarify source preprocessing and embedding integrity checks
Document embedding generation details
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