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