datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mlcd-mteb-cifar-eval
MLCD vs CLIP on MTEB CIFAR-10/100: integration and evaluation
Evaluation results accompanying the MTEB integration of two MLCD image encoders
(PR #5406, resolving
issue #2571).
Two DeepGlint-AI MLCD encoders were integrated into MTEB, verified against the
reference implementation, and evaluated on the official MTEB CIFAR-10/CIFAR-100
image-classification tasks alongside size-matched OpenAI CLIP baselines.
What was measured
Official MTEB image classification: 5… See the full description on the dataset page: https://huggingface.co/datasets/b4ph/mlcd-mteb-cifar-eval.mteb_ASSIN2_STSmteb_told-brmteb_HateBR_offensive_binarymteb_brazilian_court_decisionssts_mteb_fsmteb_faquadmteb-nl-legalqa This dataset consists of Dutch legislative articles, with queries formulated based on subordinating conjunctions.
Citation Information
If you find our paper, benchmark or models helpful, please consider cite as follows:
@misc{banar2025mtebnle5nlembeddingbenchmark,
title={MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch},
author={Nikolay Banar and Ehsan Lotfi and Jens Van Nooten and Cristina Arhiliuc and Marija Kliocaite and Walter Daelemans}… See the full description on the dataset page: https://huggingface.co/datasets/clips/mteb-nl-legalqa.sts_mteb_ours