Datasets:
path stringlengths 25 25 | duration float64 15.1 130 |
|---|---|
/data/stereo/med_0188.wav | 23.812125 |
/data/stereo/med_0024.wav | 31.056833 |
/data/stereo/med_0256.wav | 32.884167 |
/data/stereo/med_0247.wav | 30.486292 |
/data/stereo/med_0065.wav | 40.183708 |
/data/stereo/med_0170.wav | 40.755792 |
/data/stereo/mec_0177.wav | 24.49475 |
/data/stereo/med_0014.wav | 19.271 |
/data/stereo/med_0162.wav | 22.889458 |
/data/stereo/med_0192.wav | 39.254208 |
/data/stereo/mec_0086.wav | 37.435208 |
/data/stereo/med_0299.wav | 43.528958 |
/data/stereo/med_0232.wav | 18.849958 |
/data/stereo/med_0074.wav | 49.038417 |
/data/stereo/mec_0171.wav | 95.082625 |
/data/stereo/med_0196.wav | 43.885833 |
/data/stereo/mec_0029.wav | 32.977917 |
/data/stereo/med_0101.wav | 21.481542 |
/data/stereo/med_0185.wav | 45.398875 |
/data/stereo/med_0295.wav | 43.9105 |
/data/stereo/mec_0196.wav | 53.676833 |
/data/stereo/med_0128.wav | 51.533625 |
/data/stereo/mec_0182.wav | 80.377375 |
/data/stereo/mec_0169.wav | 47.125833 |
/data/stereo/med_0150.wav | 22.376375 |
/data/stereo/mec_0041.wav | 50.615708 |
/data/stereo/med_0091.wav | 38.435208 |
/data/stereo/mec_0162.wav | 36.833167 |
/data/stereo/mec_0135.wav | 24.389417 |
/data/stereo/mec_0067.wav | 77.107333 |
/data/stereo/mec_0026.wav | 45.293667 |
/data/stereo/med_0143.wav | 41.951583 |
/data/stereo/med_0234.wav | 39.672208 |
/data/stereo/mec_0039.wav | 26.285833 |
/data/stereo/mec_0016.wav | 25.272667 |
/data/stereo/med_0175.wav | 22.193708 |
/data/stereo/med_0032.wav | 72.128958 |
/data/stereo/med_0267.wav | 105.472667 |
/data/stereo/mec_0093.wav | 34.558375 |
/data/stereo/mec_0046.wav | 45.819958 |
/data/stereo/med_0160.wav | 22.007833 |
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/data/stereo/med_0294.wav | 54.742667 |
/data/stereo/mec_0139.wav | 91.911583 |
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/data/stereo/mec_0080.wav | 20.377875 |
/data/stereo/med_0029.wav | 60.260542 |
/data/stereo/mec_0191.wav | 33.104708 |
/data/stereo/med_0050.wav | 33.882625 |
/data/stereo/med_0132.wav | 25.915708 |
/data/stereo/med_0255.wav | 33.107917 |
/data/stereo/med_0260.wav | 16.468417 |
/data/stereo/med_0183.wav | 20.733125 |
/data/stereo/med_0017.wav | 67.972625 |
/data/stereo/med_0149.wav | 75.617417 |
/data/stereo/mec_0021.wav | 35.964708 |
/data/stereo/med_0044.wav | 88.281542 |
/data/stereo/med_0095.wav | 42.068458 |
/data/stereo/med_0214.wav | 53.272125 |
/data/stereo/mec_0167.wav | 106.845792 |
/data/stereo/med_0200.wav | 48.584792 |
/data/stereo/med_0246.wav | 35.407333 |
/data/stereo/med_0198.wav | 23.178958 |
/data/stereo/mec_0019.wav | 55.87425 |
/data/stereo/med_0252.wav | 38.254167 |
/data/stereo/mec_0186.wav | 22.641083 |
/data/stereo/mec_0168.wav | 33.614708 |
/data/stereo/med_0030.wav | 76.194667 |
/data/stereo/med_0237.wav | 24.341583 |
/data/stereo/med_0286.wav | 43.775792 |
/data/stereo/mec_0131.wav | 20.771083 |
/data/stereo/mec_0054.wav | 30.157417 |
/data/stereo/mec_0194.wav | 72.563208 |
/data/stereo/med_0225.wav | 30.357917 |
/data/stereo/med_0190.wav | 44.09625 |
/data/stereo/mec_0061.wav | 76.759 |
/data/stereo/med_0272.wav | 58.180083 |
/data/stereo/med_0055.wav | 38.778917 |
/data/stereo/mec_0031.wav | 85.199458 |
/data/stereo/med_0189.wav | 99.237333 |
/data/stereo/med_0025.wav | 63.013625 |
/data/stereo/med_0078.wav | 31.278833 |
/data/stereo/med_0075.wav | 33.515833 |
/data/stereo/mec_0077.wav | 39.834667 |
/data/stereo/med_0054.wav | 27.14575 |
/data/stereo/mec_0150.wav | 20.455208 |
/data/stereo/med_0284.wav | 25.943667 |
/data/stereo/mec_0136.wav | 20.731625 |
/data/stereo/med_0251.wav | 15.113167 |
/data/stereo/mec_0192.wav | 74.0105 |
/data/stereo/mec_0124.wav | 23.547375 |
/data/stereo/mec_0090.wav | 35.966292 |
/data/stereo/med_0018.wav | 79.502083 |
/data/stereo/med_0179.wav | 55.597917 |
/data/stereo/med_0270.wav | 56.834708 |
/data/stereo/mec_0170.wav | 31.97 |
/data/stereo/med_0114.wav | 41.186875 |
/data/stereo/med_0287.wav | 90.55475 |
/data/stereo/med_0206.wav | 22.363125 |
/data/stereo/med_0051.wav | 30.408917 |
End of preview. Expand in Data Studio
Small german dialogue dataset
This dataset contains 500 completely made up medical phonecall dialogues between patients and a GP's office.
Dataset Details
Dataset Description
500 made up phonecalls that were first created with AI as text. The audio was then created using Openai tts-1-hd and the accurately timestamped transcripts were added.
The audio files are formatted like this: Stereo with split channels: Speaker A is on the left channel only. Speaker B is on the right channel only.
The dataset contains around 15 hours of dialogues about bloodpressure, blood sugar, cholesterol etc.- as if you would call a doctor.
The transcript contains the timestamped text of the left channel only.
All of the data was artificially created. It contains no personal data whatsoever.
I listened through some of the audio - it came out very fine. But i did not control every single bit of it! I do not take responsibility for any kind of correctness - logically, linguistic, mathematically, medically, ethicly....
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