Remove unbalanced labels CSV and update README

README.md

@@ -24,32 +24,46 @@ configs:
     path: data/bal_train/*.parquet
   - split: test
     path: data/eval/*.parquet
+- config_name: unbalanced
+  data_files:
+  - split: train
+    path: data/unbal_train/*.parquet
+  - split: test
+    path: data/eval/*.parquet
+- config_name: full
+  data_files:
+  - split: bal_train
+    path: data/bal_train/*.parquet
+  - split: unbal_train
+    path: data/unbal_train/*.parquet
+  - split: eval
+    path: data/eval/*.parquet
 ---
 
 # Dataset Card for AudioSet
 
 ## Dataset Description
+
 - **Homepage**: https://research.google.com/audioset/index.html
 - **Paper**: https://storage.googleapis.com/gweb-research2023-media/pubtools/pdf/45857.pdf
 - **Leaderboard**: https://paperswithcode.com/sota/audio-classification-on-audioset
 
 ### Dataset Summary
-[AudioSet](https://research.google.com/audioset/dataset/index.html) is a
-dataset of 10-second clips from YouTube, annotated into one or more
-sound categories, following the AudioSet ontology.
+
+[AudioSet](https://research.google.com/audioset/dataset/index.html) is a dataset of 10-second clips from YouTube, annotated into one or more sound categories, following the AudioSet ontology.
 
 ### Supported Tasks and Leaderboards
-- `audio-classification`: Classify audio clips into categories. The
-  leaderboard is available
-  [here](https://paperswithcode.com/sota/audio-classification-on-audioset)
+
+- `audio-classification`: Classify audio clips into categories. The leaderboard is available [here](https://paperswithcode.com/sota/audio-classification-on-audioset)
 
 ### Languages
-The class labels in the dataset are in English.
 
+The class labels in the dataset are in English.
 
 ## Dataset Structure
 
 ### Data Instances
+
 Example instance from the dataset:
 ```python
 {
@@ -66,6 +80,7 @@ Example instance from the dataset:
 ```
 
 ### Data Fields
+
 Instances have the following fields:
 - `video_id`: a `string` feature containing the original YouTube ID.
 - `audio`: an `Audio` feature containing the audio data and sample rate.
@@ -75,70 +90,80 @@ Instances have the following fields:
   human-readable forms of the same labels as in `labels`.
 
 ### Data Splits
+
 The distribuion of audio clips is as follows:
 
 #### `balanced` configuration
 |           |train|test |
 |-----------|----:|----:|
-|# instances|18685|17142|
+|# instances|18683|17141|
 
 #### `unbalanced` configuration
 |           |train  |test |
 |-----------|------:|----:|
-|# instances|1738788|17142|
+|# instances|1738657|17141|
 
 
 ## Dataset Creation
 
 ### Curation Rationale
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 #### Who are the source language producers?
+
 The labels are from the AudioSet ontology. Audio clips are from YouTube.
 
 ### Annotations
 
 #### Annotation process
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 #### Who are the annotators?
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ### Personal and Sensitive Information
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ### Discussion of Biases
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ### Other Known Limitations
-1. The YouTube videos in this copy of AudioSet were downloaded in March
-   2023, so not all of the original audios are available. The number of
-   clips able to be downloaded is as follows:
-   - Balanced train: 18685 audio clips out of 22160 originally.
+
+1. The YouTube videos in this copy of AudioSet were downloaded in March 2023, so not all of the original audios are available. The number of clips able to be downloaded is as follows:
+   - Balanced train: 18683 audio clips out of 22160 originally.
    - Unbalanced train: 1738788 clips out of 2041789 originally.
-   - Evaluation: 17142 audio clips out of 20371 originally.
-2. Most audio is sampled at 48 kHz 24 bit, but about 10% is sampled at
-   44.1 kHz 24 bit. Audio files are stored in the FLAC format.
+   - Evaluation: 17141 audio clips out of 20371 originally.
+2. Most audio is sampled at 48 kHz 24 bit, but about 10% is sampled at 44.1 kHz 24 bit. Audio files are stored in the FLAC format.
 
 ## Additional Information
 
 ### Dataset Curators
+
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ### Licensing Information
+
 The AudioSet data is licensed under CC-BY-4.0
 
 ## Citation
+
 ```bibtex
 @inproceedings{jort_audioset_2017,
 	title	= {Audio Set: An ontology and human-labeled dataset for audio events},

data/unbalanced_train_segments.csv

@@ -1,3 +0,0 @@
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-oid sha256:bb2dfd5e4f1ced39db9480633c510f813d7899f4b7472aa83a411b4a43a12698
-size 101468408