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MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

18 Apr 2022arXiv:2204.08582archive 2025-07-28

Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur, Prem Natarajan

We present the MASSIVE dataset--Multilingual Amazon Slu resource package (SLURP) for Slot-filling, Intent classification, and Virtual assistant Evaluation. MASSIVE contains 1M realistic, parallel, labeled virtual assistant utterances spanning 51 languages, 18 domains, 60 intents, and 55 slots. MASSIVE was created by tasking professional translators to localize the English-only SLURP dataset into 50 typologically diverse languages from 29 genera. We also present modeling results on XLM-R and mT5, including exact match accuracy, intent classification accuracy, and slot-filling F1 score. We have released our dataset, modeling code, and models publicly.

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ai4bharat/indicbert mentioned on GitHubtfMIT report
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isascii alexa/massive/scripts/create_hf_dataset.py official repository ran · violated contract licence not identified · pointer only · 00de6205350da403 · report
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Tasks

Intent ClassificationNatural Language UnderstandingSlot FillingXLM-RZero-Shot Intent ClassificationZero-shot Slot Fillingintent-classification

Datasets

Introduced by this paper, per the archive.

MASSIVE

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Intent Classification MASSIVE mT5 Base (encoder-only) Intent Accuracy 86.1 #1 of 3 Archive leaderboard report
Intent Classification MASSIVE mT5 Base (text-to-text) Intent Accuracy 85.3 #2 of 3 Archive leaderboard report
Intent Classification MASSIVE XLM-R Base Intent Accuracy 85.1 #3 of 3 Archive leaderboard report
Slot Filling MASSIVE XLM-R Base Slot F1 Score 83.6 #1 of 3 Archive leaderboard report
Slot Filling MASSIVE mT5 Base (encoder-only) Slot F1 Score 82.2 #2 of 3 Archive leaderboard report
Slot Filling MASSIVE mT5 Base (text-to-text) Slot F1 Score 81.3 #3 of 3 Archive leaderboard report
Zero-shot Slot Filling MASSIVE XLM-R Base Slot F1 Score 64.2 #1 of 3 Archive leaderboard report
Zero-shot Slot Filling MASSIVE mT5 Base (encoder-only) Slot F1 Score 56.9 #2 of 3 Archive leaderboard report
Zero-shot Slot Filling MASSIVE mT5 Base (text-to-text) Slot F1 Score 50.6 #3 of 3 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

AdafactorAttentionAttention DropoutBPEDense ConnectionsDropoutGated Linear UnitInverse Square Root ScheduleLayer NormalizationLinear LayerMulti-Head AttentionResidual ConnectionSentencePieceSoftmaxT5XLM-RmT5

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