A dataset for high-level activity recognition based on low level audio events

The high level activities are:
 - kitchencleanup
 - music
 - no activity
 - other activity
 - talk
 - tv

Each recording of low-level audio events is stored in a separate file.

Files are organized in 6 folders, each folder corresponding to a separate file.

The format of is file is json-like. In particular, each row has the following format:

{"prob": 0.88557562121157585, "energy": 0.024511212402412885, "t": 1485110417, "event": "speech"}

This dataset can be evaluated with the python code metaClassifier/evaluate.py of the AUOR repository:
https://github.com/tyiannak/AUROS