Datasets › AM2iCo

AM2iCo (Adversarial and Multilingual Meaning in Context)

Introduced by Qianchu Liu et al. in AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples17 Apr 2021 archive 2025-07-28

AM2iCo is a wide-coverage and carefully designed cross-lingual and multilingual evaluation set. It aims to assess the ability of state-of-the-art representation models to reason over cross-lingual lexical-level concept alignment in context for 14 language pairs.

English (EN), German (DE), Russian (RU), Japanese (JA), Korean (KO), Mandarin Chinese(ZH), Arabic(AR), Indonesian(IN), Finnish(FI), Turkish(TR), Basque(EU), Georgian(KA), Urdu(UR), Bengali(BN), Kazakh(KK).

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 2 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

No task tagged in the archive.

License archive 2025-07-28

Attribution 4.0 International

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • AM2iCo

1 variant name, as the archive lists them.

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