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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01daruokta /t5-gemma-2-multimodal-embeddingimage1M<n<10M0 likes80 downloads2mo agoHugging Face02t22000t /slay-the-spire-1-card-multimodal-embeddings Slay the Spire 1: Multimodal Card Embeddings Joint text+image embeddings for every card in Slay the Spire (1.0 release), produced by Qwen/Qwen3-VL-Embedding-2B. One unit-normalized 1024-D vector per card. Mechanically AND visually similar cards land near each other; cards across STS1 and STS2 share the coordinate system. This is the multimodal-embeddings dataset. For text-only embeddings or the underlying card metadata + portraits, see: t22000t/slay-the-spire-1-cards - metadata +… See the full description on the dataset page: https://huggingface.co/datasets/t22000t/slay-the-spire-1-card-multimodal-embeddings.textfeature-extractionn<1K0 likes43 downloads4mo agoHugging Face03t22000t /slay-the-spire-2-card-multimodal-embeddings Slay the Spire 2: Multimodal Card Embeddings Joint text+image embeddings for every card in Slay the Spire 2 (Early Access), produced by Qwen/Qwen3-VL-Embedding-2B. One unit-normalized 1024-D vector per card. Mechanically AND visually similar cards land near each other; cards across STS1 and STS2 share the coordinate system. This is the multimodal-embeddings dataset. For text-only embeddings or the underlying card metadata + portraits, see: t22000t/slay-the-spire-2-cards - metadata… See the full description on the dataset page: https://huggingface.co/datasets/t22000t/slay-the-spire-2-card-multimodal-embeddings.textfeature-extractionn<1K0 likes42 downloads4mo agoHugging Face04johko /fashion-products-small-multimodal-embeddingsimage10K<n<100K1 likes39 downloads2y agoHugging Face05ujwal-jibhkate /enriched-movie-dataset-with-multimodal-embeddings Enriched Movie Dataset with Multimodal Embeddings Dataset Description This dataset provides rich metadata for over 44,000 movies, with a primary focus on providing a pre-computed, high-quality multimodal content embedding for each film. It was created by fusing two popular Kaggle datasets: "The Movies Dataset" and the "IMDB Multimodal Vision & NLP Genre Classification" dataset. It has been further enriched with parsed text features and a unique 512-dimensional vector… See the full description on the dataset page: https://huggingface.co/datasets/ujwal-jibhkate/enriched-movie-dataset-with-multimodal-embeddings.tabular10K<n<100K0 likes34 downloads1y agoHugging Face

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