Release Date: 7/9/2026
Format: WAV, JSON
Size: 6.18 GB
This dataset provides 25 hours of natural, multi-speaker conversational dialogue speech in Gujarati specifically recorded within the high-stakes medical domain. The corpus has been meticulously transcribed into text to ensure premium phonetic quality and structural accuracy for training domain-specific automated speech systems. This dataset captures real-world domain interactions in Gujarati, a prominent language spoken in India. The collection focuses on spontaneous conversational turn-taking, technical jargon handling, and colloquial linguistic shifts within the clinical setting. Multi-speaker dialogue setup containing contributions from distinct native speakers, domain professionals (e.g. healthcare assistants) and local consumers.
Pricing details
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Your purchase includes a license to the data, paid directly to the dataset vendor, and a 5% ($250.00) platform fee paid to MDC.
Licensing
MDC Data Licence Agreement 1.0
https://community.mozilladatacollective.com/mdc-data-licence-agreement-1-0/Restrictions/Special Constraints
The downloader is restricted from using this dataset in any way that contravenes the MDC Data Licence Agreement 1.0
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The downloader is restricted from using this dataset in any way that contravenes the MDC Data Licence Agreement 1.0
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Total Audio Duration: 25 hours of multi-speaker conversational speech (highly audited audio-to-text pairs)
The dataset is strictly comprised of natural, spontaneous speech. Speakers were explicitly instructed not to follow a script. They were told to pick a topic they felt comfortable with and think: "How do I talk about this in real life?"
To help them sustain natural dialogue for the required 9 to 10 minutes per session, speakers were given a tip to map out 4 to 5 simple bullet points or practice chatting with their partner once before hitting record. They were told to keep it personal, share their own stories, what they have seen around them, and what they think or feel.
The recordings feature natural pairs of individuals who already have an established real-life relationship. Users were told to record the conversations with someone they know, like a friend, a cousin, or a neighbour. To ensure acoustic and conversational diversity, a user could only record with the same partner for a maximum of 3 sessions, and they had to select an entirely different topic each time.
For every recording, explicit speaker metadata was logged for the conversational partner, including Age, Gender, Phone Number, and the PIN code of where they are originally from.
Setup and Recording Instructions Given to Speakers:
The root directory contains pairs of WAV and JSON files, aligned with a prefix:
T-18044.MT-ee55b0648bbd4e3aa1863de8d4bdcfc0.MTA-fa9fed6ffc92421a80c19488dc9b125d.A-562950054523254.W-130571.K-user_recording.R-87ec30a3fc9f4075.merged.jsonT-18044.MT-ee55b0648bbd4e3aa1863de8d4bdcfc0.MTA-fa9fed6ffc92421a80c19488dc9b125d.A-562950054523254.W-130571.K-user_recording.R-87ec30a3fc9f4075.wavThe JSON file has contains three parts: “audio”, “metadata” and “transcriptions”:
audio: The filename and file format informationmetadata: The metadata of the speaker and the topictranscriptions: The time aligned transcriptions{
"audio": {
"filename": "T-18044.MT-ee55b0648bbd4e3aa1863de8d4bdcfc0.MTA-fa9fed6ffc92421a80c19488dc9b125d.A-562950054523254.W-130571.K-user_recording.R-87ec30a3fc9f4075.wav",
"duration_sec": 481.92966,
"sample_rate_hz": 44100,
"bit_depth": 16,
"channels": 1
},
"metadata": {
"speaker2_gender": "male",
"user_topic": "[\"આશા, એએનએમ અને આંગણવાડી કાર્યકરોની ભૂમિકા\"]",
"speaker2_pincode": 396040,
"workerid_gender": "male",
"val_id": "1218bdcc9b5f4e538d0d21f4ff4d9b07"
},
"transcriptions": [
{
"utt_id": "T-18044.MT-ee55b0648bbd4e3aa1863de8d4bdcfc0.MTA-fa9fed6ffc92421a80c19488dc9b125d.A-562950054523254.W-130571.K-user_recording.R-87ec30a3fc9f4075_0001",
"speaker": "SPEAKER1",
"start_time": 0.88,
"end_time": 9.08,
"text": " વિસ્તારના આરોગ્ય કર્મચારીઓ શું કરે છે? અને તેઓ ગામમાં કેટલા અવારનવાર આવે છે. સંદર્ભમાં "
},
{
"utt_id": "T-18044.MT-ee55b0648bbd4e3aa1863de8d4bdcfc0.MTA-fa9fed6ffc92421a80c19488dc9b125d.A-562950054523254.W-130571.K-user_recording.R-87ec30a3fc9f4075_0002",
"speaker": "SPEAKER2",
"start_time": 10.02,
"end_time": 17.78,
"text": " તેઓ થોડા, થોડા સમયની અંદર આવે છે, તેઓ ગર્ભદિતિઓની નિયમિત, Checkup સલાહ આપે છે. "
},
….
Example translations:
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