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+ ---
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+ pretty_name: Tarteel AI - EveryAyah Dataset
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+ dataset_info:
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+ features:
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+ - name: audio
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+ dtype: audio
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+ - name: duration
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+ dtype: float64
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+ - name: text
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+ dtype: string
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+ - name: reciter
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 262627688145.3
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+ num_examples: 187785
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+ - name: test
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+ num_bytes: 25156009734.72
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+ num_examples: 23473
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+ - name: validation
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+ num_bytes: 23426886730.218
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+ num_examples: 23474
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+ download_size: 117190597305
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+ dataset_size: 311210584610.23804
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - crowdsourced
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+ language:
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+ - ar
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+ license:
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+ - mit
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+ multilinguality:
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+ - monolingual
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+ paperswithcode_id: tarteel-everyayah
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - automatic-speech-recognition
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+ task_ids: []
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+ train-eval-index:
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+ - config: clean
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+ task: automatic-speech-recognition
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+ task_id: speech_recognition
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+ splits:
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+ train_split: train
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+ eval_split: test
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+ validation_split: validation
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+ col_mapping:
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+ audio: audio
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+ text: text
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+ reciter: text
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+ metrics:
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+ - type: wer
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+ name: WER
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+ - type: cer
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+ name: CER
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+ ---
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+
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+
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+
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+ # Dataset Card for Tarteel AI's EveryAyah Dataset
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+
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+ ## 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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+ - **Homepage:** [Tarteel AI](https://www.tarteel.ai/)
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+ - **Repository:** [Needs More Information]
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+ - **Point of Contact:** [Mohamed Saad Ibn Seddik](mailto:[email protected])
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+
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+ ### Dataset Summary
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+
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+ This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [Needs More Information]
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+
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+ ### Languages
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+
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+ The audio is in Arabic.
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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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+ A typical data point comprises the audio file `audio`, and its transcription called `text`.
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+ The `duration` is in seconds, and the author is `reciter`.
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+
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+ An example from the dataset is:
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+ ```
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+ {
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+ 'audio': {
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+ 'path': None,
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+ 'array': array([ 0. , 0. , 0. , ..., -0.00057983,
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+ -0.00085449, -0.00061035]),
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+ 'sampling_rate': 16000
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+ },
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+ 'duration': 6.478375,
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+ 'text': 'بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ',
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+ 'reciter': 'abdulsamad'
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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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+ - audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
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+
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+ - text: The transcription of the audio file.
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+
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+ - duration: The duration of the audio file.
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+
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+ - reciter: The reciter of the verses.
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+
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+ ### Data Splits
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+
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+ | | Train | Test | Validation |
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+ | ----- | ----- | ---- | ---------- |
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+ | dataset | 187785 | 23473 | 23474 |
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+
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+
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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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+
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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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+
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+ #### Who are the source language producers?
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+
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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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+
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+ #### Who are the annotators?
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+
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+
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+
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+ ### Personal and Sensitive Information
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+
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+
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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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+ [Needs More Information]
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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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+
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+
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+ ### Licensing Information
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+
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+ [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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+
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+ ### Citation Information
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+
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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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+ This dataset was created by: