Datasets › M5Product

M5Product

Introduced by Xiao Dong et al. in M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining9 Sep 2021 archive 2025-07-28

The M5Product dataset is a large-scale multi-modal pre-training dataset with coarse and fine-grained annotations for E-products.

• 6 Million multi-modal samples, 5k properties with 24 Million values

• 5 modalities-image text table video audio

• 6 Million category annotations with 6k classes

• Wide data source (1 Million merchants provide)

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • M5Product

1 variant name, as the archive lists them.

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