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 |
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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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