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- split: valid
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path: data/valid-*
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---
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- split: valid
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path: data/valid-*
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---
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Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges
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## Dataset Overview
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Overall, our dataset offers a comprehensive representation of Vietnamese dialects, including 63 provincial dialects. It consists of 102.56 hours of audio recordings, with nearly 19,000 records ob-
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tained from 12,955 speakers. The accompanying transcripts consist of over 1.2 million words, with a distinct vocabulary of 5,155 unique words. The train, validation, and test sets were split in an 8:1:1 ratio based on duration, resulting in 81.43 hours,
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10.26 hours, and 10.87 hours, respectively. This ratio extended to the number of records, speakers, and words as well. Notwithstanding such a ratio, the unique word counts in the validation set
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(2,660 unique words) and test set (2,723 unique words) does not differ significantly from from the training set (4,813 unique words), thus preserving the vocabulary diversity. Across the 63 provincial
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dialects, with the exception of the number of speakers exhibiting imbalance, the remaining attributes duration, number of records, words, and unique words – are well-balanced
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## Citation Information
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```
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@article{Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges,
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title={Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges},
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author={Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen},
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year=2024,
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month=October},
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url={https://huggingface.co/datasets/nguyendv02/ViMD_Dataset}
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```
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