Nada Ghneim

E-CONAN benchmarks that are composed of sentences pairs from various sources, derived from a combination of sources, offers a broader and more robust assessment compared to XNLI and ArNLI, and are used to evaluate state-of-the-art multilingual pretrained models using zero-shot classification.