FSDKaggle2019

sounds

General information

Label Value Description
Name FSDKaggle2019 Full dataset name
ID sounds/fsdkaggle2019 Datalist id for external indexing
Abbreviation FSDKaggle2019 Official dataset abbreviation, e.g. one used in the original paper
Provider UPF
Year 2019 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name FSD Common name for all related datasets, used to group datasets coming from same source
Research domain Tagging Weak annotation Noisy labels Related domains, e.g., Scenes, Mobile devices, Audio-visual, Open set, Ambient noise, Unlabelled, Multiple sensors, SED, SELD, Tagging, FL, Strong annotation, Weak annotation, Unlabelled, Multi-annotator
Related datasets name
License Creative Commons
Download Download (26.7GB)
Companion site Site Link to the companion site for the dataset
Citation [Fonseca2019] Audio tagging with noisy labels and minimal supervision

Audio

Label Value Description

Data

Data type Audio Possible values: Audio | Features
File format
File format type Constant Possible values: Constant | Variable
File format wav Possible value: wav | aiff | flac | mp3 | aac | ogg
Lossy compression No is audio compressed in a lossy manner
Bit rate 16 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 44.1 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
Setup Mono Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 1
Material
Source Freesound Flickr Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Freefield Possible values: Freefield | Synthetic | Isolated

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Spot type Unknown Possible values: Fixed | Moving | Unknown

Files

Count 29266 files Total number of files
Total duration (minutes) 6204 min Total duration of the dataset in minutes

Meta

Label Value Description
Types Tag List of meta data types provided for the data, possible values: Event, Tag, Scene, Caption, Geolocation, Spatial location, Annotator, Timestamp, Presence, Proximity, etc.

Scene

Event

Classes 80 Number of event classes
Classes False Possible values: True | False | Almost
Annotation
Type Weak Possible values: Strong | Weak | Location | None
Source Crowdsourced Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
Annotations per item 1 How many annotations there are available per item (possible multi-annotator setup)
Labelled amount (%) 100 % Percentage of all data, amount of data which is labelled
Validated amount (%) 67.70655368 % Percentage of all data, amount of data which is validated by human
Strong annotations amount (%) 0 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances Yes
Labeling
Hierarchical Yes
Ontology name Yes
Instance
Count 29266 Count of all event instances in the dataset
Average instances per class 365.825 Average per class instance count

Cross-validation setup

Label Value Description
Provided Yes
Folds 1
Sets Train Test Set types provided in the split, possible values: Train | Test | Val | Dev | Eval

Baseline

Label Value Description
Download Download Link to baseline system source code
Citation [Fonseca2019] Paper to cite for the baseline

Info

Label Value Description
Evaluation campaign DCASE2019 task2, Freesound Audio Tagging 2019 Evaluation campaigns where the dataset was used.