everyayah

﷽ # Dataset Card for Tarteel AI's EveryAyah Dataset ## 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 - **Homepage:** [Tarteel AI](https://www.tarteel.ai/) - **Repository:** [Needs More Information] - **Point of Contact:** [Mohamed Saad Ibn Seddik](mailto:[e-mail]) ### Dataset Summary This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters. ### Supported Tasks and Leaderboards [Needs More Information] ### Languages The audio is in Arabic. ## Dataset Structure ### Data Instances A typical data point comprises the audio file `audio`, and its transcription called `text`. The `duration` is in seconds, and the author is `reciter`. An example from the dataset is: ``` { 'audio': { 'path': None, 'array': array([ 0. , 0. , 0. , ..., -0.00057983, -0.00085449, -0.00061035]), 'sampling_rate': 16000 }, 'duration': 6.478375, 'text': 'بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ', 'reciter': 'abdulsamad' } ``` ### Data Fields - 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]`. - text: The transcription of the audio file. - duration: The duration of the audio file. - reciter: The reciter of the verses. ### Data Splits | | Train | Test | Validation | | ----- | ----- | ---- | ---------- | | dataset | 187785 | 23473 | 23474 | ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators ### Licensing Information [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) ### Citation Information ``` ``` ### Contributions This dataset was created by: