Update README.md

README.md

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----
-annotations_creators:
-- crowdsourced
-language: []
-language_creators:
-- crowdsourced
-license:
-- cc-by-4.0
-multilinguality:
-- multilingual
-pretty_name: VoxCeleb
-size_categories:
-- 1K<n<10K
-- 10K<n<100K
-- 100K<n<1M
-source_datasets: []
-tags: []
-task_categories:
-- automatic-speech-recognition
-- audio-classification
-- image-classification
-task_ids:
-- speaker-identification
----
-
-# Dataset Card for VoxCeleb
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-### Dataset Summary
-
-VoxCeleb is an audio-visual dataset consisting of short clips of human speech, extracted from interview videos uploaded to YouTube.
-
-NOTE: Although this dataset can be automatically downloaded, you must manually request credentials to access it from the creators' website.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-[More Information Needed]
-
-## Dataset Structure
-
-### Data Instances
-
-Each datapoint has a path to the audio/video clip along with metadata about the speaker.
-
-```
-{
-  'file': '/datasets/downloads/extracted/[hash]/wav/id10271/_YimahVgI1A/00003.wav',
-  'file_format': 'wav',
-  'dataset_id': 'vox1',
-  'speaker_id': 'id10271',
-  'speaker_gender': 'm',
-  'speaker_name': 'Ed_Westwick',
-  'speaker_nationality': 'UK',
-  'video_id': '_YimahVgI1A',
-  'clip_id': '00003',
-  'audio': {
-    'path': '/datasets/downloads/extracted/[hash]/wav/id10271/_YimahVgI1A/00003.wav',
-    'array': array([...], dtype=float32),
-    'sampling_rate': 16000
-  }
-}
-```
-
-### Data Fields
-
-Each row includes the following fields:
-- `file`: The path to the audio/video clip
-- `file_format`: The file format in which the clip is stored (e.g. `wav`, `aac`, `mp4`)
-- `dataset_id`: The ID of the dataset this clip is from (`vox1`, `vox2`)
-- `speaker_id`: The ID of the speaker in this clip
-- `speaker_gender`: The gender of the speaker (`m`/`f`)
-- `speaker_name` (VoxCeleb1 only): The full name of the speaker in the clip
-- `speaker_nationality` (VoxCeleb1 only): The speaker's country of origin
-- `video_id`: The ID of the video from which this clip was taken
-- `clip_index`: The index of the clip for this specific video
-- `audio` (Audio dataset only): The audio signal data
-
-### Data Splits
-
-The dataset has a predefined dev set and test set. The dev set has been renamed to a "train" split.
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-The dataset includes recordings of clips (mostly of celebrities and public figures) from public YouTube videos. The names of speakers in VoxCeleb1 are provided.
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-The VoxCeleb authors request that anyone who uses VoxCeleb1 or VoxCeleb2 includes the following three citations:
-```
-@Article{Nagrani19,
-    author = "Arsha Nagrani and Joon~Son Chung and Weidi Xie and Andrew Zisserman",
-    title = "Voxceleb: Large-scale speaker verification in the wild",
-    journal = "Computer Science and Language",
-    year = "2019",
-    publisher = "Elsevier",
-}
-
-@InProceedings{Chung18b,
-    author = "Chung, J.~S. and Nagrani, A. and Zisserman, A.",
-    title = "VoxCeleb2: Deep Speaker Recognition",
-    booktitle = "INTERSPEECH",
-    year = "2018",
-}
-
-@InProceedings{Nagrani17,
-    author = "Nagrani, A. and Chung, J.~S. and Zisserman, A.",
-    title = "VoxCeleb: a large-scale speaker identification dataset",
-    booktitle = "INTERSPEECH",
-    year = "2017",
-}
-```
-
-### Contributions
-
-Thanks to [@101arrowz](https://github.com/101arrowz) for adding this dataset.