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  ---
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- dataset_info:
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- features:
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- - name: region
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- dtype: string
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- - name: province_code
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- dtype: int64
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- - name: province_name
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- dtype: string
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- - name: filename
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- dtype: string
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- - name: text
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- dtype: string
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- - name: speakerID
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- dtype: string
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- - name: gender
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- dtype: int64
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- - name: audio
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- dtype:
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- audio:
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- sampling_rate: 16000
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- - name: new_province_name
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- dtype: string
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- - name: length
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 4732880672
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- num_examples: 15023
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- - name: test
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- num_bytes: 635471319
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- num_examples: 2026
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- - name: valid
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- num_bytes: 598490941
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- num_examples: 1900
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- download_size: 5962186491
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- dataset_size: 5966842932
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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- - split: valid
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- path: data/valid-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - vi
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+ license: other
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+ task_categories:
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+ - audio-classification
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+ - automatic-speech-recognition
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+ pretty_name: ViMD Truncated 10s (16kHz)
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+ size_categories:
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+ - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # ViMD Truncated 10s — 16kHz
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+
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+ Preprocessed version of **ViMD** (Nguyen et al., EMNLP 2024) for Dialect Identification.
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+
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+ ## Preprocessing applied
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+ - **Resample:** 44.1kHz (original) → **16kHz, mono**
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+ - **Truncate:** only the **FIRST 10 SECONDS** of each audio are kept
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+ (files shorter than 10s are kept intact). **1 original file = 1 sample.**
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+ This follows the truncation strategy of Lu et al. (2020), NOT chunking.
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+ - **Splits:** original ViMD train/valid/test kept unchanged (speaker-exclusive).
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+
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+ ## New column vs. original ViMD
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+ - `new_province`: province name **after the administrative merger** (34 classes),
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+ mapped from the original `province` column (63 classes).
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+
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+ ## Usage
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("tannhoo06/ViMD_preprocessing")
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+ ```
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+
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+ ## EDA without downloading audio
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+ ```python
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+ import pandas as pd
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+ meta = pd.read_parquet("hf://datasets/tannhoo06/ViMD_preprocessing/metadata.parquet")
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+ ```
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+
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+ ## Citation
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+ Please cite the original ViMD paper (Nguyen et al., EMNLP 2024).