Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Vietnamese
Size:
10K - 100K
License:
| dataset_info: | |
| features: | |
| - name: file_name | |
| dtype: string | |
| - name: audio | |
| dtype: | |
| audio: | |
| decode: false | |
| - name: transcript | |
| dtype: string | |
| - name: toxicity | |
| dtype: int64 | |
| - name: split | |
| dtype: string | |
| - name: label_binary_token_level | |
| dtype: string | |
| - name: BIO_Tag | |
| dtype: string | |
| - name: toxic_spans_text | |
| dtype: string | |
| - name: toxic_spans_char_offsets | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 11529524389.683 | |
| num_examples: 8641 | |
| - name: validation | |
| num_bytes: 2887734661.57 | |
| num_examples: 2161 | |
| - name: test | |
| num_bytes: 2590354184.0 | |
| num_examples: 2000 | |
| download_size: 16450848436 | |
| dataset_size: 17007613235.253 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| task_categories: | |
| - automatic-speech-recognition | |
| language: | |
| - vi | |
| size_categories: | |
| - 10K<n<100K | |
| license: cc-by-nc-nd-4.0 | |
| extra_gated_prompt: "### ViToSA Dataset Access Agreement\nVersion 1.0 — August 2025\ | |
| \ \nThe ViToSA dataset contains Vietnamese speech recordings and transcripts with\ | |
| \ annotated toxic spans, created by researchers at the University of Information\ | |
| \ Technology, VNU-HCM.\n⚠️ **Disclaimer:** This dataset includes explicit and offensive\ | |
| \ language. Use responsibly for research on content moderation and language modeling.\n\ | |
| #### Terms of Use\n- Use of the Dataset is permitted only for **non-commercial research\ | |
| \ and educational purposes**. \n- Redistribution of raw data (audio, transcripts,\ | |
| \ or annotations) is **not allowed**. \n- You must properly cite the original paper.\ | |
| \ \n- Do not attempt to identify individuals or use the Dataset to harass, discriminate,\ | |
| \ or harm. \n- The Dataset is provided *“as is”* without warranty. \n- Access\ | |
| \ may be revoked if these terms are violated, and you must delete all copies.\n\ | |
| By requesting access, you confirm that you have read and agreed to these terms.\n" | |
| extra_gated_fields: | |
| Full Name: text | |
| Affiliation: text | |
| Email: text | |
| Intended use: text | |
| Country: country | |
| By clicking 'Request Access', I confirm that I have read, understood, and accepted the ViToSA Data Access Agreement: checkbox | |
| extra_gated_description: 'The information you provide will be used solely to evaluate | |
| dataset access requests and will not be shared beyond the ViToSA maintainers. | |
| ' | |
| extra_gated_button_content: Request Access | |
| # ViToSA: Audio-Based Toxic Spans Detection on Vietnamese Speech Utterances | |
| This is the official repository for the **ViToSA 1.0 dataset**, introduced in the paper [ViToSA: Audio-Based Toxic Spans Detection on Vietnamese Speech Utterances](https://www.isca-archive.org/interspeech_2025/do25b_interspeech.pdf), accepted at [Interspeech 2025](https://www.interspeech2025.org/home). | |
| The dataset was developed by researchers from the **University of Information Technology, VNU-HCM**. | |
| --- | |
| ## Citation Information | |
| If you use this dataset, please cite the following paper: | |
| ```bibtex | |
| @inproceedings{do25b_interspeech, | |
| title = {{ViToSA: Audio-Based Toxic Spans Detection on Vietnamese Speech Utterances}}, | |
| author = {Huy Ba Do and Vy Le-Phuong Huynh and Luan Thanh Nguyen}, | |
| year = {2025}, | |
| booktitle = {{Interspeech 2025}}, | |
| pages = {4013--4017}, | |
| doi = {10.21437/Interspeech.2025-1958}, | |
| issn = {2958-1796}, | |
| } | |
| ``` | |
| --- | |
| ## Abstract | |
| Toxic speech on online platforms is a growing concern, impacting user experience and online safety. While text-based toxicity detection is well-studied, audio-based approaches remain underexplored, especially for low-resource languages like Vietnamese. This paper introduces ViToSA (Vietnamese Toxic Spans Audio), the first dataset for toxic spans detection in Vietnamese speech, comprising 11,000 audio samples (25 hours) with accurate human-annotated transcripts. We propose a pipeline that combines ASR and toxic spans detection for fine-grained identification of toxic content. Our experiments show that fine-tuning ASR models on ViToSA significantly reduces WER when transcribing toxic speech, while the text-based toxic spans detection (TSD) models outperform existing baselines. These findings establish a novel benchmark for Vietnamese audio-based toxic spans detection, paving the way for future research in speech content moderation. | |
| --- | |
| ### Data Distribution | |
| | Split | # Examples (Toxic & None) | | |
| |:------|:--------------------------:| | |
| | Train | 8,641 – 0 | | |
| | Validation | 2,161 – 0 | | |
| | Test | 1,000 – 1,000 | | |
| | **Total** | **12,802** | | |
| > **Note:** Only the test split includes both toxic and non-toxic utterances (balanced 50/50); The train and validation sets currently contain only toxic examples; The train and validation sets are split with an **8:2 ratio**. | |
| - Each entry consists of: | |
| - `file_name`: audio file name | |
| - `audio`: audio waveform (float32) | |
| - `transcript`: speech transcription in Vietnamese | |
| - `toxicity`: binary annotation (toxic or non-toxic) | |
| For the test set, we also include its annotated toxic spans. | |
| The dataset provides a foundation for developing **audio-based toxic spans detection** systems in Vietnamese, complementing existing text-based datasets. | |
| --- | |
| ## 🔊 Example Usage: Load and Play a Sample | |
| Here’s a minimal example showing how to load and play a sample audio file from the ViToSA dataset: | |
| ```python | |
| import io | |
| import soundfile as sf | |
| import numpy as np | |
| from IPython.display import Audio | |
| # Load dataset and access first test sample | |
| audio_bytes = ds["test"].to_pandas().iloc[0]["audio"]["bytes"] | |
| # Decode and preprocess audio | |
| data, sr = sf.read(io.BytesIO(audio_bytes)) | |
| if data.ndim > 1: | |
| data = data.mean(axis=1) | |
| data = np.clip(data, -1, 1).astype(np.float32) | |
| # Play audio | |
| Audio(data, rate=sr) | |
| ``` | |
| --- | |
| ## Dataset Access Agreement | |
| ⚠️ **Disclaimer:** This dataset contains explicit and offensive language. | |
| Use responsibly for research on content moderation and language modeling. | |
| Access is **restricted** to non-commercial research and educational use under the following terms: | |
| - Redistribution of raw data is **not allowed** | |
| - Proper citation is required (see above) | |
| - Any violation of the terms may result in access revocation | |
| Full agreement text is provided in the gated access form. | |
| --- | |
| ## License | |
| This dataset is released under the **CC-BY-NC-ND-4.0 License**. | |
| --- | |
| ## Repository | |
| GitHub: [https://github.com/vitosa-research/ViToSA-Dataset](https://github.com/vitosa-research/ViToSA-Dataset) | |
| --- | |
| ## Contact | |
| Please feel free to contact us by email luannt@uit.edu.vn if you have any further information! | |
| --- |