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  # What is EDM-CUE?
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- The EDM-CUE dataset contains metadata for ~5k EDM tracks, most importantly cue points manually placed by human experts.
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- For more information see our ISMIR'24 paper *Cue Point Estimation using Object Detection* [link coming soon].
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  ## Dataset Structure
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  * genre: List of genres (possibly incomplete).
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  * key: Alphanumeric key of the track generated by rekordbox (possibly incorrect).
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  * beat_grid: Contains 4 values to compute the grid. 'start_pos' is the starting position in seconds, 'init_beat' is the beat count of 'start_pos', 'bpm' is the beats per minute tempo, and 'time_sig' is the time signature in string format.
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- * cue_pts: Cue point position in seconds.
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  # What is EDM-CUE?
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+ The EDM-CUE dataset contains metadata for ~5k EDM tracks. Cue points are essential for DJs, so we asked the question "can they be placed by a learned system?" To Answer this question we gathered 21k cue points manually placed by human experts, and provide them in this dataset for future use.
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+ To cite this dataset or for more information, please see [*Cue Point Estimation using Object Detection*](https://www.arxiv.org/abs/2407.06823). This work was was accepted at ISMIR'24.
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  ## Dataset Structure
 
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  * genre: List of genres (possibly incomplete).
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  * key: Alphanumeric key of the track generated by rekordbox (possibly incorrect).
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  * beat_grid: Contains 4 values to compute the grid. 'start_pos' is the starting position in seconds, 'init_beat' is the beat count of 'start_pos', 'bpm' is the beats per minute tempo, and 'time_sig' is the time signature in string format.
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+ * cue_pts: Position of the cue point in seconds.
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