Fourth commit.

.gitattributes

@@ -56,3 +56,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+. filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,34 +1,3 @@
 ---
 license: mit
 ---
-# Introduction 
-
-This is a data subset extracted from the FMA music dataset, particularly the fma_small subset. There are 7 top level genres in this dataset, namely:
-- Hip-hop
-- Pop
-- Folk
-- Rock
-- International 
-- Electronic
-- Instrumental 
-
-
-The dataset is composed of 210 .mp3 tracks, each of 30 seconds.
-
-Metadata of the audio mp3 audio tracks could be found in `metadata.csv`.
-
-The full mfa dataset could be found [here](https://github.com/mdeff/fma)
-
-# Credits
-All credits go to the original creators for this dataset
-```
-@inproceedings{fma_dataset,
-  title = {{FMA}: A Dataset for Music Analysis},
-  author = {Defferrard, Micha\"el and Benzi, Kirell and Vandergheynst, Pierre and Bresson, Xavier},
-  booktitle = {18th International Society for Music Information Retrieval Conference (ISMIR)},
-  year = {2017},
-  archiveprefix = {arXiv},
-  eprint = {1612.01840},
-  url = {https://arxiv.org/abs/1612.01840},
-}
-```