Duplicate from agkphysics/AudioSet

Co-authored-by: Aaron Keesing <agkphysics@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- en
+license: cc-by-4.0
+size_categories:
+- 10K<n<100K
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- audio-classification
+paperswithcode_id: audioset
+pretty_name: AudioSet
+config_names:
+- balanced
+- unbalanced
+tags:
+- audio
+configs:
+- config_name: balanced
+  default: true
+  data_files:
+  - split: train
+    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.
+
+### Supported Tasks and Leaderboards
+
+- `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.
+
+## Dataset Structure
+
+### Data Instances
+
+Example instance from the dataset:
+```python
+{
+ 'video_id': '--PJHxphWEs',
+ 'audio': {
+  'path': 'audio/bal_train/--PJHxphWEs.flac',
+  'array': array([-0.04364824, -0.05268681, -0.0568949 , ...,  0.11446512,
+          0.14912748,  0.13409865]),
+  'sampling_rate': 48000
+ },
+ 'labels': ['/m/09x0r', '/t/dd00088'],
+ 'human_labels': ['Speech', 'Gush']
+}
+```
+
+### 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.
+- `labels`: a sequence of `string` features containing the labels
+  associated with the audio clip.
+- `human_labels`: a sequence of `string` features containing the
+  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|18683|17141|
+
+#### `unbalanced` configuration
+|           |train  |test |
+|-----------|------:|----:|
+|# 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: 18683 audio clips out of 22160 originally.
+   - Unbalanced train: 1738788 clips out of 2041789 originally.
+   - 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},
+	author	= {Jort F. Gemmeke and Daniel P. W. Ellis and Dylan Freedman and Aren Jansen and Wade Lawrence and R. Channing Moore and Manoj Plakal and Marvin Ritter},
+	year	= {2017},
+	booktitle	= {Proc. IEEE ICASSP 2017},
+	address	= {New Orleans, LA}
+}
+```

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