Datasetpublic

tensorxt/ViMedCSS

🩺 ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset (LREC 2026) 📖 Overview ViMedCSS is a Vietnamese medical speech dataset for code-switching ASR, where each utterance contains at least one non-Vietnamese (mainly English) medical term embedded in Vietnamese speech. 📊 Dataset Statistics Split Statistics (from ViMedCSS-Metadata) Split # Rows Duration (hours) Avg duration (s) Total CS terms train 11,832 24.30… See the full description on the dataset page: https://huggingface.co/datasets/tensorxt/ViMedCSS.

sourceHugging Facecc-by-4.0updated 7mo agoView on Hugging Face

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Dataset Card

🩺 ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset (LREC 2026)

📖 Overview

ViMedCSS is a Vietnamese medical speech dataset for code-switching ASR, where each utterance contains at least one non-Vietnamese (mainly English) medical term embedded in Vietnamese speech.

📊 Dataset Statistics

Split Statistics (from `ViMedCSS-Metadata`)

Split	# Rows	Duration (hours)	Avg duration (s)	Total CS terms
train	11,832	24.30	7.39	12,314
validation	1,714	3.57	7.49	1,814
test	1,614	3.39	7.56	1,695
hard	658	1.38	7.57	758
Total	15,818	32.64	7.43	16,581

Topic Statistics (from `ViMedCSS-Metadata`)

Topic	# Rows	Duration (hours)	Total CS terms
Medical Sciences	6,836	14.68	7,459
Pathology & Pathogens	4,827	10.00	4,951
Treatments	1,969	3.80	1,985
Nutrition	1,155	2.14	1,155
Diagnostics	1,031	2.02	1,031

🧾 Data Fields

Each row in metadata corresponds to one segment audio file, where:

—segment_id maps to segment_id.wav (for example: Med_CS-100-17 -> Med_CS-100-17.wav)

Main fields:

—segment_id: utterance identifier
—duration_seconds: utterance duration
—segment_text: Vietnamese transcript containing code-switched term(s)
—cs_terms_list: semicolon-separated code-switched terms
—cs_terms_count: number of code-switched terms in the utterance
—topic (or Topic in one CSV): medical topic label
—original_video_link: source video URL
—original_video_title: source video title
—start_time, end_time: segment boundaries in source audio/video

When loaded from Hugging Face, an audio column is available with waveform bytes/path in the standard 🤗 Datasets Audio format.

🔽 How to Load

Load directly with 🤗 Datasets:

python

from datasets import load_dataset

dataset = load_dataset("tensorxt/ViMedCSS")
print(dataset)

Clone with Git LFS:

bash

git lfs install
git clone https://huggingface.co/datasets/tensorxt/ViMedCSS

📝 Notes

—The paper reports the full corpus statistics (34.57h).
—The hard split is intended for evaluating rare/unseen code-switched medical terms, following the paper’s benchmark setup.

📜 License

The paper states that data are collected from publicly available YouTube content for research purposes, and the medical dictionary resource used in construction is under institutional intellectual property licensing.

Please verify usage rights for your setting before redistribution or commercial use.

🙏 Citation

If you use ViMedCSS, please cite the paper: https://arxiv.org/abs/2602.12911

bibtex

@inproceedings{nguyen-etal-2026-vimedcss,
    title = "{V}i{M}ed{CSS}: A Vietnamese Medical Code-Switching Speech Dataset \& Benchmark",
    author = "Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, Duy Mai Hoang, Chien Dinh Huynh, Inigo Jauregi Unanue, Massimo Piccardi, Wray Buntine, Dung D. Le",
    booktitle = "Proceedings of the 2026 Language Resources and Evaluation Conference (LREC 2026)",
    year = "2026",
}