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
- Downloads last month
- 14