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multabench/embeddings-tile

MulTaBench text embeddings (TILE) Part of MulTaBench, a benchmark for multimodal tabular learning. Frozen TILE embeddings of the MulTaBench text datasets (Llama-3.1-8B, first 14 layers), cached so the TILE models' leaderboard runs don't re-encode them. TILE reads whole rows, so each <dataset>/embeddings.npz maps every distinct serialized row to one mean-pooled 4096-d vector per string column, the text columns and the ones stored as categories (float16; PCA is fitted per run, on… See the full description on the dataset page: https://huggingface.co/datasets/multabench/embeddings-tile.

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Created2 November 2026
Last updated at source7 November 2026
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