Datasets:
language stringclasses 3 values | file_name stringclasses 9 values | audio audioduration (s) 602 1.84k | transcript_json listlengths 39 180 |
|---|---|---|---|
Vietnamese | viet_1.wav | [
{
"start": "00:00:00.000",
"end": "00:00:03.411",
"speaker": "Speaker 1",
"text": "Xoáy ra luôn bài còn gì, tôi mua hai con này."
},
{
"start": "00:00:04.144",
"end": "00:00:06.666",
"speaker": "Speaker 2",
"text": "Cái Ionia là gì đấy? Có xem được không?"
},
{
"start": "... | |
Vietnamese | viet_2.wav | [
{
"start": "00:00:07.135",
"end": "00:00:08.567",
"speaker": "Speaker 1",
"text": "Xí hai chim rồi"
},
{
"start": "00:00:08.718",
"end": "00:00:10.748",
"speaker": "Speaker 2",
"text": "Uầy con này nó đang bán ấy"
},
{
"start": "00:00:10.748",
"end": "00:00:11.758",
... | |
Vietnamese | viet_3.wav | [
{
"start": "00:00:00.000",
"end": "00:00:01.350",
"speaker": "Speaker 1",
"text": "Cho nó ra luôn?"
},
{
"start": "00:00:01.350",
"end": "00:00:02.800",
"speaker": "Speaker 2",
"text": "Garen nó nuốt."
},
{
"start": "00:00:03.400",
"end": "00:00:04.500",
"speaker"... | |
Filipino | fil_1.wav | [
{
"start": "00:00:00.000",
"end": "00:00:05.150",
"speaker": "Speaker 1",
"text": "Anong balita sa'yo? Napansin kong madami kang post tungkol sa pagsasayaw ah?"
},
{
"start": "00:00:05.150",
"end": "00:00:13.250",
"speaker": "Speaker 2",
"text": "Hi! Oo, sobrang excited ako. Nag-... | |
Filipino | fil_2.wav | [
{
"start": "00:00:00.000",
"end": "00:00:04.200",
"speaker": "Speaker 1",
"text": "Uy, balita ko nahihilig ka ngayon sa potograpiya ah?"
},
{
"start": "00:00:04.200",
"end": "00:00:13.200",
"speaker": "Speaker 2",
"text": "Oo, sobrang excited ako sa mga kuha ko. Nag-enroll ako sa... | |
Filipino | fil_3.wav | [
{
"start": "00:00:00.000",
"end": "00:00:05.320",
"speaker": "Speaker 1",
"text": "Uy, gusto mo bang pag-usapan ang family planning sa Pilipinas?"
},
{
"start": "00:00:05.320",
"end": "00:00:20.240",
"speaker": "Speaker 2",
"text": "Oo, gusto ko sanang malaman ang tungkol dito. M... | |
Arabic | ara_1.wav | [
{
"start": "00:00:01.350",
"end": "00:00:03.960",
"speaker": "Speaker 1",
"text": "عمت مساء يا صديقي."
},
{
"start": "00:00:03.960",
"end": "00:00:07.380",
"speaker": "Speaker 2",
"text": "عمت مساء كيف حالك؟"
},
{
"start": "00:00:07.380",
"end": "00:00:10.980",
"s... | |
Arabic | ara_2.wav | [
{
"start": "00:00:02.040",
"end": "00:00:04.980",
"speaker": "Speaker 1",
"text": "السلام عليكم ورحمه الله وبركاته."
},
{
"start": "00:00:04.980",
"end": "00:00:07.950",
"speaker": "Speaker 2",
"text": "وعليكم السلام."
},
{
"start": "00:00:07.950",
"end": "00:00:11.22... | |
Arabic | ara_3.wav | [{"start":"00:00:03.090","end":"00:00:04.980","speaker":"Speaker 1","text":"كيف حالك يا ص(...TRUNCATED) |
Dataset Overview
This dataset contains high-quality conversational audio samples curated for Automatic Speech Recognition tasks in Vietnamese and Filipino.
The dataset includes:
- Paired audio + transcripts
- Natural, non-scripted conversational speech
- Dual-speaker interactions
Audio Specifications
- Sampling Rate: 16 kHz – 24 kHz
- Bit Depth: 16-bit
- Audio Type: Non-scripted conversational speech
- Format: Dual-speaker conversations
Supported Languages
| Language | Variant |
|---|---|
| Vietnamese | Regional conversational variants |
| Filipino (Tagalog-based) | Standard & colloquial speech |
| Arabic | Modern Standard Arabic |
| The dataset includes natural accent variation and conversational code-switching where applicable. |
Speaker Representation
- Dual-speaker conversational recordings
- Natural, spontaneous dialogue
- Balanced gender representation (where available)
Dataset Creation Methodology
Data Collection
Speech data was collected from native speakers across multiple regions:
Vietnam
- Urban and semi-urban communities
- Regional dialect diversity coverage
Philippines
- Metro and non-metro regions
- Standard and colloquial Filipino usage
Arabic
- Cross-regional accent variation
- Modern Standard Arabic and spoken dialect balance
This ensured:
- Accent diversity
- Natural conversational flow
- Real-world dialogue patterns
Recording Setup
Non-scripted, dual-speaker conversations
Duration: 10–30 minutes per recording
Topics include:
- Business
- Finance
- Politics
- Everyday life discussions
- Social topics
Transcription Process
Manual transcription by native speakers
Reviewed for linguistic accuracy
Preserves:
- Conversational fillers
- Natural pauses
- Code-mixed elements (if present)
Dataset Intended Purpose
Intended Uses
This dataset is designed for:
- Training and fine-tuning Automatic Speech Recognition models
- Conversational ASR benchmarking
- Code-mixed speech recognition research
- Speaker diarization research
- Speaker turn detection and interruption modeling
- Informal speech modeling
- Conversational AI research
- Academic and open-source research
Out-of-Scope Uses
This dataset is not intended for:
- Safety-critical or real-time production systems without additional validation
- Commercial deployment without proper attribution and compliance with CC BY 4.0
- Medical, clinical, legal, or diagnostic applications
License
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
📬 Contact
For dataset-related queries, please contact:
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