multabench/embeddings-case

MulTaBench row embeddings (CASE)

Part of MulTaBench, a benchmark for multimodal tabular learning.

CASE embeddings of the MulTaBench text datasets, from SAP/CASE (Gemma-3-12B) with CaseTransformer's defaults, cached so the CASE models' leaderboard runs don't re-encode them. CASE fills its KV cache with up to 128 of a fold's training rows and their targets, so its embeddings are per fold: each <dataset>/10k/fold_<k>/embeddings.npz maps every distinct train and test row of the fold, keyed by its cells joined by tabs, to its 3840-d embedding (float16; PCA is fitted per run, on the training rows); meta.json holds the fold's rows and columns, the encoding time and the hardware. See Cached embeddings.

Folds whose context didn't fit CASE's batch of 16 on an 80 GB H100 were embedded in smaller batches, 9 of them without cuDNN's attention (git 19aaab5 in their meta.json); this changes embeddings only at bf16 rounding (mean cosine 0.9999 to the default's, on 500 rows of two folds).

These are outputs of SAP/CASE, a Gemma 3 derivative licensed for research purposes only; see its licence, the Gemma Terms of Use and the Gemma Prohibited Use Policy.

Paper: MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image · Leaderboard: multabench/leaderboard

Citation

@misc{arazi2026multabenchbenchmarkingmultimodaltabular,
  title={MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image},
  author={Alan Arazi and Eilam Shapira and Shoham Grunblat and Mor Ventura and Elad Hoffer and Gioia Blayer and David Holzmüller and Lennart Purucker and Gaël Varoquaux and Frank Hutter and Roi Reichart},
  year={2026},
  eprint={2605.10616},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2605.10616},
}

@inproceedings{case,
  title={Enhancing Tabular Learners with Context-Aware Semantic Embeddings},
  author={Günther Schindler and Maximilian Schambach and Johannes Höhne},
  booktitle={Advances in Neural Information Processing Systems},
  year={2026},
  url={https://arxiv.org/abs/2608.03565},
}