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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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# Dataset Card for Tarteel AI's EveryAyah Dataset |
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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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## Dataset Description |
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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:ms.ibnseddik@tarteel.ai) |
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### Dataset Summary |
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This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters. |
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### Supported Tasks and Leaderboards |
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[Needs More Information] |
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### Languages |
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The audio is in Arabic. |
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## Dataset Structure |
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### Data Instances |
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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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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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### Length: |
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Training: |
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Total duration: 2985111.2642479446 seconds |
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Total duration: 49751.85440413241 minutes |
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Total duration: 829.1975734022068 hours |
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Validation: |
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Total duration: 372720.43139099434 seconds |
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Total duration: 6212.007189849905 minutes |
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Total duration: 103.5334531641651 hours |
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Test: |
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Total duration: 375509.96909399604 seconds |
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Total duration: 6258.499484899934 minutes |
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Total duration: 104.30832474833224 hours |
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### Data Fields |
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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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- text: The transcription of the audio file. |
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- duration: The duration of the audio file. |
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- reciter: The reciter of the verses. |
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### Data Splits |
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| | Train | Test | Validation | |
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| ----- | ----- | ---- | ---------- | |
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| dataset | 187785 | 23473 | 23474 | |
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### reciters |
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- reciters_count: 36 |
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- reciters: {'abdul_basit', |
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'abdullah_basfar', |
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'abdullah_matroud', |
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'abdulsamad', |
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'abdurrahmaan_as-sudais', |
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'abu_bakr_ash-shaatree', |
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'ahmed_ibn_ali_al_ajamy', |
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'ahmed_neana', |
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'akram_alalaqimy', |
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'alafasy', |
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'ali_hajjaj_alsuesy', |
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'aziz_alili', |
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'fares_abbad', |
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'ghamadi', |
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'hani_rifai', |
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'husary', |
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'karim_mansoori', |
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'khaalid_abdullaah_al-qahtaanee', |
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'khalefa_al_tunaiji', |
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'maher_al_muaiqly', |
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'mahmoud_ali_al_banna', |
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'menshawi', |
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'minshawi', |
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'mohammad_al_tablaway', |
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'muhammad_abdulkareem', |
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'muhammad_ayyoub', |
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'muhammad_jibreel', |
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'muhsin_al_qasim', |
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'mustafa_ismail', |
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'nasser_alqatami', |
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'parhizgar', |
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'sahl_yassin', |
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'salaah_abdulrahman_bukhatir', |
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'saood_ash-shuraym', |
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'yaser_salamah', |
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'yasser_ad-dussary'} |
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## Dataset Creation |
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### Curation Rationale |
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### Source Data |
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#### Initial Data Collection and Normalization |
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#### Who are the source language producers? |
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### Annotations |
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#### Annotation process |
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#### Who are the annotators? |
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### Personal and Sensitive Information |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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### Licensing Information |
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
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### Citation Information |
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``` |
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``` |
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### Contributions |
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This dataset was created by: |
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