Update README.md

README.md

@@ -219,4 +219,33 @@ configs:
  path: noisy/train-*
  - split: test
  path: noisy/test-*
+task_categories:
+- audio-classification
+tags:
+- audio
+- multilabel
 ---
+
+# FSDKaggle2019
+
+FSDKaggle2019<sup>[1]</sup> is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. 
+FSDKaggle2019 has been used for the DCASE Challenge 2019 Task 2, which was run as a Kaggle competition titled Freesound Audio Tagging 2019.
+All audio clips are provided as uncompressed PCM 16 bit, 44.1 kHz, mono audio files.
+This version of database could be found and downloaded from [here](https://zenodo.org/records/3612637).
+
+## Data Split Statistics
+
+| | Curated | Noisy | Test |
+| :---: | :---: | :---: | :---: |
+| Number of clips/class | 75 | 300 | 50 ~ 100 |
+| Total number of clips | 4,970 | 19,815 | 4,481 |
+| Average number of labels/clip | 1.2 | 1.2 | 1.4 |
+| Total durations | 10.5 hours | 80 hours | 12.9 hours |
+| Label quality | Correct but potentially imcomplete | noisy labels | correct and complete labels |
+| Sources | FSD | YFCC | FSD |
+
+## Citations
+
+[1] Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra. "Audio tagging with noisy labels and minimal supervision". Proceedings of the DCASE 2019 Workshop, NYC, US (2019)
+
+[2] Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, and Xavier Serra, "Freesound Datasets: A Platform for the Creation of Open Audio Datasets", In Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China, 2017