Datasets › e-ViL
e-ViL
e-ViL is a benchmark for explainable vision-language tasks. e-ViL spans across three datasets of human-written NLEs (natural language explanations), and provides a unified evaluation framework that is designed to be re-usable for future works.
This benchmark uses the following datasets: e-SNLI-VE, VCR, VQA-X.
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 10 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Multiple licenses
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- e-ViL
1 variant name, as the archive lists them.
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