mlsanityData to 7 Oct 2026

MD3: The Multi-Dialect Dataset of Dialogues

arXiv 2305.11355 ↗First posted 19 May 2023cs.CLcited by 12

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Abstract (arXiv)

We introduce a new dataset of conversational speech representing English from India, Nigeria, and the United States. The Multi-Dialect Dataset of Dialogues (MD3) strikes a new balance between open-ended conversational speech and task-oriented dialogue by prompting participants to perform a series of short information-sharing tasks. This facilitates quantitative cross-dialectal comparison, while avoiding the imposition of a restrictive task structure that might inhibit the expression of dialect features. Preliminary analysis of the dataset reveals significant differences in syntax and in the use of discourse markers. The dataset, which will be made publicly available with the publication of this paper, includes more than 20 hours of audio and more than 200,000 orthographically-transcribed tokens.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 7 of its 33 references that are in the map. First posted on arXiv 19 May 2023.

Builds on

7 of 33 references.

References · 7

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
  3. 2020Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameterscited by 110
  4. 2019FoodX-251: A Dataset for Fine-grained Food Classificationcited by 33
  5. 2020Learning to Recognize Dialect Featurescited by 29
  6. 2022Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varietiescited by 6
  7. 2022Automatic Dialect Density Estimation for African American Englishcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 3; 2026: 4.

12 papers.