Add 'Audio dataset' doc page (#1360)

* add link to task pages

* add the first part

* format

* add webdataset and parquet

* image -> audio

Author: severo

docs/hub/datasets-audio.md

@@ -0,0 +1,218 @@
+# Audio Dataset
+
+This guide will show you how to configure your dataset repository with audio files. You can find accompanying examples of repositories in this [Audio datasets examples collection](https://huggingface.co/collections/datasets-examples/audio-dataset-66aca0b73e8f69e3d069e607).
+
+A dataset with a supported structure and [file formats](./datasets-adding#file-formats) automatically has a Dataset Viewer on its page on the Hub.
+
+---
+
+Additional information about your audio files - such as transcriptions - is automatically loaded as long as you include this information in a metadata file (`metadata.csv`/`metadata.jsonl`).
+
+Alternatively, audio files can be in Parquet files or in TAR archives following the [WebDataset](https://github.com/webdataset/webdataset) format.
+
+## Only audio files
+
+If your dataset only consists of one column with audio, you can simply store your audio files at the root:
+
+```plaintext
+my_dataset_repository/
+├── 1.wav
+├── 2.wav
+├── 3.wav
+└── 4.wav
+```
+
+or in a subdirectory:
+
+```plaintext
+my_dataset_repository/
+└── audio
+    ├── 1.wav
+    ├── 2.wav
+    ├── 3.wav
+    └── 4.wav
+```
+
+Multiple [formats](./datasets-adding#file-formats) are supported at the same time, including AIFF, FLAC, MP3, OGG and WAV.
+
+```plaintext
+my_dataset_repository/
+└── audio
+    ├── 1.aiff
+    ├── 2.ogg
+    ├── 3.mp3
+    └── 4.flac
+```
+
+If you have several splits, you can put your audio files into directories named accordingly:
+
+```plaintext
+my_dataset_repository/
+├── train
+│   ├── 1.wav
+│   └── 2.wav
+└── test
+    ├── 3.wav
+    └── 4.wav
+```
+
+See [File names and splits](./datasets-file-names-and-splits) for more information and other ways to organize data by splits.
+
+## Additional columns
+
+If there is additional information you'd like to include about your dataset, like the transcription, add it as a `metadata.csv` file in your repository. This lets you quickly create datasets for different audio tasks like [text-to-speech](https://huggingface.co/tasks/text-to-speech) or [automatic speech recognition](https://huggingface.co/tasks/automatic-speech-recognition).
+
+```plaintext
+my_dataset_repository/
+├── 1.wav
+├── 2.wav
+├── 3.wav
+├── 4.wav
+└── metadata.csv
+```
+
+Your `metadata.csv` file must have a `file_name` column which links image files with their metadata:
+
+```csv
+file_name,animal
+1.wav,cat
+2.wav,cat
+3.wav,dog
+4.wav,dog
+```
+
+You can also use a [JSONL](https://jsonlines.org/) file `metadata.jsonl`:
+
+```jsonl
+{"file_name": "1.wav","text": "cat"}
+{"file_name": "2.wav","text": "cat"}
+{"file_name": "3.wav","text": "dog"}
+{"file_name": "4.wav","text": "dog"}
+```
+
+## Relative paths
+
+Metadata file must be located either in the same directory with the audio files it is linked to, or in any parent directory, like in this example:
+
+```plaintext
+my_dataset_repository/
+└── test
+    ├── audio
+    │   ├── 1.wav
+    │   ├── 2.wav
+    │   ├── 3.wav
+    │   └── 4.wav
+    └── metadata.csv
+```
+
+In this case, the `file_name` column must be a full relative path to the audio files, not just the filename:
+
+```csv
+file_name,animal
+audio/1.wav,cat
+audio/2.wav,cat
+audio/3.wav,dog
+audio/4.wav,dog
+```
+
+Metadata file cannot be put in subdirectories of a directory with the audio files.
+
+In this example, the `test` directory is used to setup the name of the training split. See [File names and splits](./datasets-file-names-and-splits) for more information.
+
+## Audio classification
+
+For audio classification datasets, you can also use a simple setup: use directories to name the audio classes. Store your audio files in a directory structure like:
+
+```plaintext
+my_dataset_repository/
+├── cat
+│   ├── 1.wav
+│   └── 2.wav
+└── dog
+    ├── 3.wav
+    └── 4.wav
+```
+
+The dataset created with this structure contains two columns: `audio` and `label` (with values `cat` and `dog`).
+
+You can also provide multiple splits. To do so, your dataset directory should have the following structure (see [File names and splits](./datasets-file-names-and-splits) for more information):
+
+```plaintext
+my_dataset_repository/
+├── test
+│   ├── cat
+│   │   └── 2.wav
+│   └── dog
+│       └── 4.wav
+└── train
+    ├── cat
+    │   └── 1.wav
+    └── dog
+        └── 3.wav
+```
+
+You can disable this automatic addition of the `label` column in the [YAML configuration](./datasets-manual-configuration). If your directory names have no special meaning, set `drop_labels: true` in the README header:
+
+```yaml
+configs:
+  - config_name: default  # Name of the dataset subset, if applicable.
+    drop_labels: true
+```
+
+## Large scale datasets
+
+### WebDataset format
+
+The [WebDataset](./datasets-webdataset) format is well suited for large scale audio datasets (see [AlienKevin/sbs_cantonese](https://huggingface.co/datasets/AlienKevin/sbs_cantonese) for example).
+It consists of TAR archives containing audio files and their metadata and is optimized for streaming. It is useful if you have a large number of audio files and to get streaming data loaders for large scale training.
+
+```plaintext
+my_dataset_repository/
+├── train-0000.tar
+├── train-0001.tar
+├── ...
+└── train-1023.tar
+```
+
+To make a WebDataset TAR archive, create a directory containing the audio files and metadata files to be archived and create the TAR archive using e.g. the `tar` command.
+The usual size per archive is generally around 1GB.
+Make sure each audio file and metadata pair share the same file prefix, for example:
+
+```plaintext
+train-0000/
+├── 000.flac
+├── 000.json
+├── 001.flac
+├── 001.json
+├── ...
+├── 999.flac
+└── 999.json
+```
+
+Note that for user convenience and to enable the [Dataset Viewer](./datasets-viewer), every dataset hosted in the Hub is automatically converted to Parquet format up to 5GB.
+Read more about it in the [Parquet format](./datasets-viewer#access-the-parquet-files) documentation.
+
+### Parquet format
+
+Instead of uploading the audio files and metadata as individual files, you can embed everything inside a [Parquet](https://parquet.apache.org/) file.
+This is useful if you have a large number of audio files, if you want to embed multiple audio columns, or if you want to store additional information about the audio in the same file.
+Parquet is also useful for storing data such as raw bytes, which is not supported by JSON/CSV.
+
+```plaintext
+my_dataset_repository/
+└── train.parquet
+```
+
+Audio columns are of type _struct_, with a binary field `"bytes"` for the audio data and a string field `"path"` for the image file name or path.
+You should specify the feature types of the columns directly in YAML in the README header, for example:
+
+```yaml
+dataset_info:
+  features:
+  - name: audio
+    dtype: audio
+  - name: caption
+    dtype: string
+```
+
+Alternatively, Parquet files with Audio data can be created using the `datasets` library by setting the column type to `Audio()` and using the `.to_parquet(...)` method or `.push_to_hub(...)`. You can find a guide on loading audio datasets in `datasets` [here](../datasets/audio_load).

docs/hub/datasets-data-files-configuration.md

@@ -36,4 +36,4 @@ And if your images/audio files have metadata (e.g. captions, bounding boxes, tra
 We provide two guides that you can check out:
 
 - [How to create an image dataset](./datasets-image) ([example datasets](https://huggingface.co/collections/datasets-examples/image-dataset-6568e7cf28639db76eb92d65))
-- [How to create an audio dataset](https://huggingface.co/docs/datasets/audio_dataset)
+- [How to create an audio dataset](./datasets-audio) ([example datasets](https://huggingface.co/collections/datasets-examples/audio-dataset-66aca0b73e8f69e3d069e607))

docs/hub/datasets-image.md

@@ -59,7 +59,7 @@ See [File names and splits](./datasets-file-names-and-splits) for more informati
 
 ## Additional columns
 
-If there is additional information you'd like to include about your dataset, like text captions or bounding boxes, add it as a `metadata.csv` file in your repository. This lets you quickly create datasets for different computer vision tasks like text captioning or object detection.
+If there is additional information you'd like to include about your dataset, like text captions or bounding boxes, add it as a `metadata.csv` file in your repository. This lets you quickly create datasets for different computer vision tasks like [text captioning](https://huggingface.co/tasks/image-to-text) or [object detection](https://huggingface.co/tasks/object-detection).
 
 ```
 my_dataset_repository/