datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
openonerec_multimodal_embedding
Original Data
Basic Information
Table schema:
pid BIGINT
vision_emb ARRAY<ARRAY<DOUBLE>>
text_emb ARRAY<DOUBLE>
Notes:
vision_emb is the image embedding
text_emb is the text embedding
Coverage Summary
The table currently contains 17,433,569 pids in total.
Breakdown:
Pids with both image and text embeddings: 15,647,227
Pids with image embedding only: 1,411,004
Pids with text embedding only: 375,338
In short:
Most pids already have complete multimodal… See the full description on the dataset page: https://huggingface.co/datasets/OpenOneRec/openonerec_multimodal_embedding.multimodal-embedding-10M
Multimodal Embedding 10M Benchmark Dataset
A large-scale vector search benchmark dataset containing 10M base vectors and 10K query vectors with pre-computed ground truth (top-100 nearest neighbors by Inner Product), generated from multimodal (image + text) inputs.
Dataset Summary
Property
Value
Base Vectors
10,000,000
Query Vectors
10,000
Dimension
4,096
Distance Metric
Inner Product (IP)
Top-K Ground Truth
100
Vector dtype
float32
Embedding… See the full description on the dataset page: https://huggingface.co/datasets/VDBBench/multimodal-embedding-10M.multimodal-embedding-1M
Multimodal Embedding 1M Benchmark Dataset
A vector search benchmark dataset containing 1M base vectors and 10K query vectors with pre-computed ground truth, generated from multimodal (image + text) inputs.
Dataset Description
Each embedding is produced by encoding an image-text pair into a single 4096-dimensional vector using Qwen3-VL-Embedding-8B, a state-of-the-art multimodal embedding model.
Source data: pixparse/cc3m-wds (Conceptual Captions 3M in WebDataset… See the full description on the dataset page: https://huggingface.co/datasets/VDBBench/multimodal-embedding-1M.t5-gemma-2-multimodal-embeddingfashion-products-small-multimodal-embeddingsHatefulmemes_train_embeddings
Dataset Card for "Hatefulmemes_train_embeddings"
More Information needed
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.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.Food101_train_embeddings
Dataset Card for "Food101_train_embeddings"
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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.FGVC_Aircraft_train_embeddings
Dataset Card for "FGVC_Aircraft_train_embeddings"
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OK-VQA_train_embeddings
Dataset Card for "OK-VQA_train_embeddings"
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OxfordPets_train_embeddings
Dataset Card for "OxfordPets_train_embeddings"
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OxfordFlowers_test_embeddings
Dataset Card for "OxfordFlowers_test_embeddings"
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Food101_test_embeddings
Dataset Card for "Food101_test_embeddings"
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FGVC_Aircraft_test_embeddings
Dataset Card for "FGVC_Aircraft_test_embeddings"
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StanfordCars_train_embeddings
Dataset Card for "StanfordCars_train_embeddings"
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StanfordCars_test_embeddings
Dataset Card for "StanfordCars_test_embeddings"
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DTD_parition1_test_embeddings
Dataset Card for "DTD_parition1_test_embeddings"
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Hatefulmemes_test_embeddings
Dataset Card for "Hatefulmemes_test_embeddings"
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VQAv2_sample_testdev_embeddings
Dataset Card for "VQAv2_sample_testdev_embeddings"
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OxfordPets_embeddings
Dataset Card for "OxfordPets_embeddings"
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DTD_parition1_train_embeddings
Dataset Card for "DTD_parition1_train_embeddings"
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VQAv2_sample_test_embeddings
Dataset Card for "VQAv2_sample_test_embeddings"
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OxfordFlowers_train_embeddings
Dataset Card for "OxfordFlowers_train_embeddings"
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CIFAR10_test_embeddings
Dataset Card for "CIFAR10_test_embeddings"
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Caltech101_not_background_test_embeddings
Dataset Card for "Caltech101_not_background_test_embeddings"
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Caltech101_with_background_test_embeddings
Dataset Card for "Caltech101_with_background_test_embeddings"
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VQAv2_sample_validation_embeddings
Dataset Card for "VQAv2_sample_validation_embeddings"
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OxfordPets_test_embeddings
Dataset Card for "OxfordPets_test_embeddings"
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