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Datasets:
schism-audio
/
datasec-v1

Tasks:
Audio Classification
Modalities:
Audio
Text
Formats:
soundfolder
Languages:
English
Size:
1K - 10K
Tags:
audio
sound-event-classification
environmental-sound
urban-sound
Libraries:
Datasets
License:
Dataset card Data Studio Files
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3
+ task_categories:
4
+ - audio-classification
5
+ language:
6
+ - en
7
+ pretty_name: DataSEC v1
8
+ tags:
9
+ - audio
10
+ - sound-event-classification
11
+ - environmental-sound
12
+ - urban-sound
13
+ size_categories:
14
+ - 1K<n<10K
15
+ configs:
16
+ - config_name: default
17
+ data_files:
18
+ - split: train
19
+ path:
20
+ - metadata.csv
21
+ - PT_DATASET_250314/**/*.wav
22
+ drop_labels: false
23
+ ---
24
+
25
+ # DataSEC v1
26
+
27
+ This is a Hugging Face mirror of the CC-BY-4.0 v1 DataSEC archive from Zenodo record [10.5281/zenodo.15340689](https://doi.org/10.5281/zenodo.15340689).
28
+
29
+ DataSEC is a sound event classification dataset for environmental noise. The files are organized by class, with selected classes further organized by subclass.
30
+
31
+ Important version note: the latest Zenodo version of DataSEC uses `cc-by-nc-sa-4.0`, so this repository intentionally mirrors the earlier `PT_DATASET_250314.zip` v1 archive, whose Zenodo metadata is `cc-by-4.0`.
32
+
33
+ ## Verified Archive Statistics
34
+
35
+ The v1 Zenodo description text mentions 5,024 samples and 23 hours 32 minutes. The actual `PT_DATASET_250314.zip` archive downloaded from the CC-BY-4.0 v1 record contains the following verified contents:
36
+
37
+ | Item | Value |
38
+ | --- | ---: |
39
+ | WAV files | 3,226 |
40
+ | Top-level classes | 22 |
41
+ | Subclasses | 15 |
42
+ | Total duration | 15.27 hours |
43
+ | Audio format | WAV, PCM 16-bit |
44
+ | Sample rate | 44,100 Hz |
45
+ | Channels | Mono |
46
+
47
+ ## Files
48
+
49
+ - `PT_DATASET_250314/`: audio files organized by class and subclass.
50
+ - `metadata.csv`: metadata for all WAV files, including label, subclass, duration, sample rate, channels, bit depth, and frame count.
51
+ - `stats.json`: machine-readable statistics generated from the extracted archive.
52
+
53
+ ## Class Counts
54
+
55
+ | Class | Files |
56
+ | --- | ---: |
57
+ | Bells | 67 |
58
+ | Birds | 69 |
59
+ | Cat fights and moans | 50 |
60
+ | Chicken coop | 58 |
61
+ | Cicadas and crickets | 66 |
62
+ | Crows seagulls and magpies | 101 |
63
+ | Dog barkings and howlings | 70 |
64
+ | Glass breaking | 109 |
65
+ | Horn | 57 |
66
+ | Jet aircrafts | 103 |
67
+ | Lawn mower brush cutter and olive shaker | 116 |
68
+ | Music | 102 |
69
+ | Propeller aircrafts | 108 |
70
+ | Sirens and alarms | 105 |
71
+ | Thunder fireworks and gunshot | 235 |
72
+ | Train | 67 |
73
+ | Vacuum cleaner fan and hairdryer | 95 |
74
+ | Vehicle idling | 112 |
75
+ | Vehicle pass-by | 217 |
76
+ | Voices | 1,001 |
77
+ | Wind turbine | 100 |
78
+ | Workshop | 218 |
79
+
80
+ ## Source And Checksum
81
+
82
+ Source record: [Zenodo 15340689](https://zenodo.org/records/15340689)
83
+
84
+ Verified upstream MD5 checksum:
85
+
86
+ - `PT_DATASET_250314.zip`: `1fdc062919d70f43e1864e781b6a2232`
87
+
88
+ ## Citation
89
+
90
+ ```bibtex
91
+ @dataset{datasec_v1_2025,
92
+ title = {DataSEC - Dataset for Sound Event Classification of environmental noise},
93
+ year = {2025},
94
+ publisher = {Zenodo},
95
+ doi = {10.5281/zenodo.15340689},
96
+ url = {https://doi.org/10.5281/zenodo.15340689}
97
+ }
98
+ ```
metadata.csv ADDED
The diff for this file is too large to render. See raw diff
 
stats.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bits_per_sample": {
3
+ "16": 3226
4
+ },
5
+ "channels": {
6
+ "1": 3226
7
+ },
8
+ "class_counts": {
9
+ "Bells": 67,
10
+ "Birds": 69,
11
+ "Cat fights and moans": 50,
12
+ "Chicken coop": 58,
13
+ "Cicadas and crickets": 66,
14
+ "Crows seagulls and magpies": 101,
15
+ "Dog barkings and howlings": 70,
16
+ "Glass breaking": 109,
17
+ "Horn": 57,
18
+ "Jet aircrafts": 103,
19
+ "Lawn mower brush cutter and olive shaker": 116,
20
+ "Music": 102,
21
+ "Propeller aircrafts": 108,
22
+ "Sirens and alarms": 105,
23
+ "Thunder fireworks and gunshot": 235,
24
+ "Train": 67,
25
+ "Vacuum cleaner fan and hairdryer": 95,
26
+ "Vehicle idling": 112,
27
+ "Vehicle pass-by": 217,
28
+ "Voices": 1001,
29
+ "Wind turbine": 100,
30
+ "Workshop": 218
31
+ },
32
+ "num_classes": 22,
33
+ "num_subclasses": 15,
34
+ "sample_rates": {
35
+ "44100": 3226
36
+ },
37
+ "subclass_counts": {
38
+ "Propeller aircrafts/Airplanes": 50,
39
+ "Propeller aircrafts/Helicopters": 58,
40
+ "Vacuum cleaner fan and hairdryer/fan": 32,
41
+ "Vacuum cleaner fan and hairdryer/hairdryer": 32,
42
+ "Vacuum cleaner fan and hairdryer/vacuum cleaner": 31,
43
+ "Vehicle idling/car truck idling": 81,
44
+ "Vehicle idling/motorbike idling": 31,
45
+ "Vehicle pass-by/car pass-by": 110,
46
+ "Vehicle pass-by/motorbike pass-by": 57,
47
+ "Vehicle pass-by/truck pass-by": 50,
48
+ "Workshop/air compressor": 30,
49
+ "Workshop/drill": 45,
50
+ "Workshop/grinder": 38,
51
+ "Workshop/jackhammer": 63,
52
+ "Workshop/saw": 42
53
+ },
54
+ "total_duration_hours": 15.267076,
55
+ "total_duration_seconds": 54961.473968,
56
+ "total_files": 3226
57
+ }