Dataset Viewer
dow
int64 0
0
| hour
int64 0
23
| minute
int64 0
59
| car_left
int64 0
18
| car_right
int64 0
20
| cv_left
int64 0
8
| cv_right
int64 0
5
| path
stringlengths 16
16
| split
stringclasses 1
value | audio
audioduration (s) 60
60
|
---|---|---|---|---|---|---|---|---|---|
0 | 0 | 2 | 1 | 1 | 1 | 0 |
train/00000.flac
|
train
| |
0 | 0 | 3 | 0 | 0 | 0 | 1 |
train/00001.flac
|
train
| |
0 | 0 | 4 | 1 | 1 | 0 | 1 |
train/00002.flac
|
train
| |
0 | 0 | 5 | 0 | 1 | 0 | 0 |
train/00003.flac
|
train
| |
0 | 0 | 6 | 1 | 0 | 0 | 0 |
train/00004.flac
|
train
| |
0 | 0 | 11 | 0 | 1 | 0 | 1 |
train/00005.flac
|
train
| |
0 | 0 | 12 | 1 | 0 | 1 | 0 |
train/00006.flac
|
train
| |
0 | 0 | 17 | 1 | 0 | 2 | 0 |
train/00007.flac
|
train
| |
0 | 0 | 18 | 0 | 0 | 0 | 1 |
train/00008.flac
|
train
| |
0 | 0 | 19 | 0 | 1 | 0 | 0 |
train/00009.flac
|
train
| |
0 | 0 | 20 | 1 | 1 | 0 | 0 |
train/00010.flac
|
train
| |
0 | 0 | 22 | 2 | 1 | 0 | 0 |
train/00011.flac
|
train
| |
0 | 0 | 23 | 2 | 0 | 0 | 1 |
train/00012.flac
|
train
| |
0 | 0 | 26 | 0 | 1 | 0 | 0 |
train/00013.flac
|
train
| |
0 | 0 | 27 | 1 | 0 | 0 | 0 |
train/00014.flac
|
train
| |
0 | 0 | 28 | 0 | 1 | 0 | 0 |
train/00015.flac
|
train
| |
0 | 0 | 31 | 0 | 0 | 1 | 0 |
train/00016.flac
|
train
| |
0 | 0 | 32 | 1 | 0 | 0 | 0 |
train/00017.flac
|
train
| |
0 | 0 | 33 | 0 | 0 | 0 | 1 |
train/00018.flac
|
train
| |
0 | 0 | 34 | 0 | 0 | 1 | 0 |
train/00019.flac
|
train
| |
0 | 0 | 36 | 0 | 0 | 0 | 1 |
train/00020.flac
|
train
| |
0 | 0 | 38 | 2 | 0 | 0 | 0 |
train/00021.flac
|
train
| |
0 | 0 | 40 | 2 | 1 | 0 | 0 |
train/00022.flac
|
train
| |
0 | 0 | 43 | 1 | 0 | 0 | 0 |
train/00023.flac
|
train
| |
0 | 0 | 44 | 0 | 1 | 0 | 0 |
train/00024.flac
|
train
| |
0 | 0 | 47 | 0 | 0 | 1 | 0 |
train/00025.flac
|
train
| |
0 | 0 | 48 | 0 | 0 | 0 | 1 |
train/00026.flac
|
train
| |
0 | 0 | 49 | 1 | 0 | 0 | 0 |
train/00027.flac
|
train
| |
0 | 0 | 52 | 0 | 2 | 0 | 0 |
train/00028.flac
|
train
| |
0 | 0 | 53 | 0 | 0 | 1 | 0 |
train/00029.flac
|
train
| |
0 | 1 | 0 | 0 | 0 | 0 | 1 |
train/00030.flac
|
train
| |
0 | 1 | 2 | 0 | 1 | 1 | 0 |
train/00031.flac
|
train
| |
0 | 1 | 3 | 0 | 1 | 0 | 0 |
train/00032.flac
|
train
| |
0 | 1 | 6 | 1 | 0 | 0 | 0 |
train/00033.flac
|
train
| |
0 | 1 | 10 | 0 | 1 | 0 | 1 |
train/00034.flac
|
train
| |
0 | 1 | 23 | 0 | 1 | 0 | 0 |
train/00035.flac
|
train
| |
0 | 1 | 24 | 0 | 1 | 0 | 0 |
train/00036.flac
|
train
| |
0 | 1 | 27 | 1 | 0 | 0 | 0 |
train/00037.flac
|
train
| |
0 | 1 | 28 | 0 | 1 | 0 | 0 |
train/00038.flac
|
train
| |
0 | 1 | 31 | 0 | 1 | 1 | 0 |
train/00039.flac
|
train
| |
0 | 1 | 32 | 0 | 0 | 0 | 1 |
train/00040.flac
|
train
| |
0 | 1 | 33 | 0 | 1 | 0 | 0 |
train/00041.flac
|
train
| |
0 | 1 | 34 | 1 | 1 | 0 | 0 |
train/00042.flac
|
train
| |
0 | 1 | 35 | 0 | 0 | 0 | 1 |
train/00043.flac
|
train
| |
0 | 1 | 36 | 1 | 0 | 0 | 0 |
train/00044.flac
|
train
| |
0 | 1 | 38 | 0 | 1 | 0 | 0 |
train/00045.flac
|
train
| |
0 | 1 | 42 | 1 | 1 | 0 | 1 |
train/00046.flac
|
train
| |
0 | 1 | 44 | 0 | 1 | 0 | 1 |
train/00047.flac
|
train
| |
0 | 1 | 45 | 0 | 0 | 0 | 1 |
train/00048.flac
|
train
| |
0 | 1 | 46 | 1 | 0 | 0 | 1 |
train/00049.flac
|
train
| |
0 | 1 | 48 | 0 | 0 | 1 | 0 |
train/00050.flac
|
train
| |
0 | 1 | 49 | 1 | 1 | 0 | 0 |
train/00051.flac
|
train
| |
0 | 1 | 52 | 0 | 1 | 0 | 0 |
train/00052.flac
|
train
| |
0 | 1 | 53 | 2 | 0 | 0 | 0 |
train/00053.flac
|
train
| |
0 | 1 | 54 | 0 | 1 | 0 | 0 |
train/00054.flac
|
train
| |
0 | 1 | 58 | 0 | 1 | 0 | 0 |
train/00055.flac
|
train
| |
0 | 2 | 0 | 0 | 0 | 0 | 1 |
train/00056.flac
|
train
| |
0 | 2 | 4 | 0 | 1 | 1 | 0 |
train/00057.flac
|
train
| |
0 | 2 | 6 | 1 | 0 | 0 | 0 |
train/00058.flac
|
train
| |
0 | 2 | 10 | 1 | 0 | 1 | 0 |
train/00059.flac
|
train
| |
0 | 2 | 12 | 0 | 0 | 0 | 1 |
train/00060.flac
|
train
| |
0 | 2 | 15 | 1 | 0 | 0 | 0 |
train/00061.flac
|
train
| |
0 | 2 | 19 | 1 | 0 | 0 | 0 |
train/00062.flac
|
train
| |
0 | 2 | 20 | 0 | 1 | 0 | 0 |
train/00063.flac
|
train
| |
0 | 2 | 22 | 0 | 0 | 0 | 1 |
train/00064.flac
|
train
| |
0 | 2 | 23 | 1 | 1 | 0 | 0 |
train/00065.flac
|
train
| |
0 | 2 | 24 | 0 | 1 | 0 | 0 |
train/00066.flac
|
train
| |
0 | 2 | 26 | 1 | 0 | 0 | 0 |
train/00067.flac
|
train
| |
0 | 2 | 28 | 0 | 0 | 0 | 1 |
train/00068.flac
|
train
| |
0 | 2 | 29 | 0 | 0 | 1 | 0 |
train/00069.flac
|
train
| |
0 | 2 | 30 | 0 | 0 | 1 | 0 |
train/00070.flac
|
train
| |
0 | 2 | 31 | 0 | 1 | 0 | 0 |
train/00071.flac
|
train
| |
0 | 2 | 34 | 0 | 0 | 1 | 0 |
train/00072.flac
|
train
| |
0 | 2 | 42 | 0 | 1 | 0 | 1 |
train/00073.flac
|
train
| |
0 | 2 | 43 | 0 | 0 | 1 | 0 |
train/00074.flac
|
train
| |
0 | 2 | 44 | 1 | 0 | 0 | 0 |
train/00075.flac
|
train
| |
0 | 2 | 47 | 0 | 0 | 0 | 3 |
train/00076.flac
|
train
| |
0 | 2 | 49 | 0 | 0 | 0 | 1 |
train/00077.flac
|
train
| |
0 | 2 | 50 | 0 | 1 | 0 | 0 |
train/00078.flac
|
train
| |
0 | 2 | 53 | 0 | 0 | 0 | 1 |
train/00079.flac
|
train
| |
0 | 2 | 55 | 0 | 1 | 0 | 0 |
train/00080.flac
|
train
| |
0 | 3 | 1 | 0 | 0 | 0 | 1 |
train/00081.flac
|
train
| |
0 | 3 | 3 | 2 | 1 | 0 | 0 |
train/00082.flac
|
train
| |
0 | 3 | 5 | 1 | 0 | 1 | 0 |
train/00083.flac
|
train
| |
0 | 3 | 7 | 0 | 0 | 1 | 1 |
train/00084.flac
|
train
| |
0 | 3 | 11 | 0 | 0 | 1 | 0 |
train/00085.flac
|
train
| |
0 | 3 | 12 | 0 | 0 | 0 | 1 |
train/00086.flac
|
train
| |
0 | 3 | 14 | 1 | 0 | 0 | 0 |
train/00087.flac
|
train
| |
0 | 3 | 15 | 0 | 1 | 0 | 0 |
train/00088.flac
|
train
| |
0 | 3 | 17 | 1 | 0 | 0 | 0 |
train/00089.flac
|
train
| |
0 | 3 | 18 | 0 | 0 | 1 | 0 |
train/00090.flac
|
train
| |
0 | 3 | 23 | 1 | 1 | 0 | 1 |
train/00091.flac
|
train
| |
0 | 3 | 24 | 1 | 0 | 0 | 0 |
train/00092.flac
|
train
| |
0 | 3 | 25 | 1 | 1 | 0 | 0 |
train/00093.flac
|
train
| |
0 | 3 | 26 | 0 | 0 | 0 | 2 |
train/00094.flac
|
train
| |
0 | 3 | 28 | 1 | 1 | 0 | 1 |
train/00095.flac
|
train
| |
0 | 3 | 29 | 1 | 0 | 0 | 0 |
train/00096.flac
|
train
| |
0 | 3 | 30 | 1 | 1 | 0 | 0 |
train/00097.flac
|
train
| |
0 | 3 | 31 | 1 | 0 | 0 | 0 |
train/00098.flac
|
train
| |
0 | 3 | 32 | 0 | 0 | 1 | 0 |
train/00099.flac
|
train
|
End of preview. Expand
in Data Studio
DCASE 2024 Challenge Task 10 Development Dataset: Acoustic-based Traffic Monitoring - Location 1 subset
Citation
Bondi, L., Ghaffarzadegan, S., Damiano, S., Kumar, A., Wu, H.-H., Lin, W.-C., Das, S., Horst, H.-G., & Waterschoot, T. van . (2024). DCASE 2024 Challenge Task 10 Development Dataset: Acoustic-based Traffic Monitoring [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10700792
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Full dataset
You can find the full dataset along with its description on Zenodo: https://zenodo.org/records/10700792
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