THIS IS NOT AN EXHAUSTIVE LIST! If you want your dataset to be included here, send me an email. We mention some other sources of data related to Music Information Retrieval research. You can create aggregate and/or summary files using the python scripts. The dataset you received should contain one million song files.
#Youre one in a million song code
Note on summary files: if you're using the code display_song.py, you need the '-summary' flag to tell the code that some getters won't find their field, e.g. The summary file of the whole dataset is available (only 300 Mb!): msd_summary_file.h5.
![youre one in a million song youre one in a million song](http://withacardandasong.com/images/cards/youre-one-in-a-million.jpg)
Useful if you want to quickly search the metadata, since a lot of space is saved! Check the scripts create_summary_file.py and create_aggregate_file.py. we remove all the tables (analysis of bars, beats, segments. These are useful if you do I/O intensive experiments, since they reduce the number of open/close file operations you need to perform.Ī "summary file" is similar to an aggregate file, but contains just the metadata, i.e. 4Ī "song file" refers to the typical HDF5 file containing information for only one song.Īn "aggregate file" is also an HDF5 file that contains the information for several songs. unpublished)Įstimate of number of beats per bar, e.g. The main audio features are 'segments_pitches' and 'segments_timbre'. Another reference is the code: display_song.py: if a field is displayed, the field exists and there should be a getter for it (if we forgot some in matlab or java, please let us know).įor the analysis fields, we suggest you first read The Echo Nest analyze documentation. The same list with data from a specific song is available here.
![youre one in a million song youre one in a million song](https://images.genius.com/ef6297514b4bf967e79d3d48a59d5643.498x499x1.jpg)
Below are a list of all fields available in the files of the dataset.