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