AudioCaps: Generating Captions for Audios in The Wild

captions

General information

Label Value Description
Name AudioCaps: Generating Captions for Audios in The Wild Full dataset name
ID captions/audiocaps Datalist id for external indexing
Abbreviation AudioCaps Official dataset abbreviation, e.g. one used in the original paper
Provider SNU
Year 2019 Dataset release year
Modalities Audio Video Data modalities included in the dataset
Collection name AudioCaps Common name for all related datasets, used to group datasets coming from same source
Research domain Captioning Tagging Multi-annotator 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
Download Download (None)
Citation [Kim2019] AudioCaps: Generating Captions for Audios in The Wild

Audio

Label Value Description

Data

Data type Audio Possible values: Audio | Features
File format
Channels
Setup Mono Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 1
Material
Source AudioSet 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 51308 files Total number of files
Total duration (minutes) 8551.333333333 min Total duration of the dataset in minutes
File length Constant Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable
File length (seconds) 10 sec Approximate length of files

Meta

Label Value Description
Types Caption 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

Caption

Annotation
Languages English Languages used for annotation
Source Crowdsourced Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
Captions per item 1-5 How many annotations there are available per item (possible multi-annotator setup)
Validated amount (%) 100 % Percentage of all data, amount of data which is validated by human
Guidance Word hints Type of guidance annotators were provided during the annotation, e.g. Video, Image, Tags

Cross-validation setup

Label Value Description
Provided Yes
Folds 1
Sets Train Val 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