--- dataset_info: - config_name: CohereForAI-aya_collection-aya_dataset features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 7555482 num_examples: 13960 download_size: 3687445 dataset_size: 7555482 - config_name: CohereForAI-aya_collection-aya_human_annotated features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: language dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 222650 num_examples: 250 download_size: 120393 dataset_size: 222650 - config_name: CohereForAI-aya_collection-templated_afrisenti features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 5070578 num_examples: 14468 - name: test num_bytes: 2674428 num_examples: 7838 - name: validation num_bytes: 643036 num_examples: 1816 download_size: 2330165 dataset_size: 8388042 - config_name: CohereForAI-aya_collection-templated_mintaka features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 20413129 num_examples: 70000 - name: test num_bytes: 5799667 num_examples: 20000 - name: validation num_bytes: 2976183 num_examples: 10000 download_size: 6746433 dataset_size: 29188979 - config_name: CohereForAI-aya_collection-templated_ntx_llm features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 199809 num_examples: 111 download_size: 34306 dataset_size: 199809 - config_name: CohereForAI-aya_collection-templated_xcsqa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: validation num_bytes: 393580 num_examples: 1000 download_size: 137233 dataset_size: 393580 - config_name: CohereForAI-aya_collection-templated_xlel_wd features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 97691354 num_examples: 90760 - name: test num_bytes: 15499274 num_examples: 14791 - name: validation num_bytes: 10752041 num_examples: 9768 download_size: 57959575 dataset_size: 123942669 - config_name: CohereForAI-aya_collection-translated_adversarial_qa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 147727007 num_examples: 100000 - name: test num_bytes: 16108000 num_examples: 10000 - name: validation num_bytes: 14862183 num_examples: 10000 download_size: 52642775 dataset_size: 178697190 - config_name: CohereForAI-aya_collection-translated_dolly features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: gcp_source dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: alphabet dtype: string - name: split dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 213140804 num_examples: 148080 download_size: 96189154 dataset_size: 213140804 - config_name: CohereForAI-aya_collection-translated_flan_coqa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 245744048 num_examples: 64090 download_size: 124335769 dataset_size: 245744048 - config_name: CohereForAI-aya_collection-translated_flan_gem_wiki features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string splits: - name: train num_bytes: 961863533.277311 num_examples: 271470 download_size: 485152798 dataset_size: 961863533.277311 - config_name: CohereForAI-aya_collection-translated_flan_qa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 2989244 num_examples: 5400 download_size: 1292664 dataset_size: 2989244 - config_name: CohereForAI-aya_collection-translated_joke_explaination features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 8219049 num_examples: 7540 download_size: 3600136 dataset_size: 8219049 - config_name: CohereForAI-aya_collection-translated_mintaka features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 40908047 num_examples: 140000 - name: test num_bytes: 11646781 num_examples: 40000 - name: validation num_bytes: 5951801 num_examples: 20000 download_size: 12723211 dataset_size: 58506629 - config_name: CohereForAI-aya_collection-translated_mlqa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 331062576 num_examples: 231800 - name: validation num_bytes: 31900260 num_examples: 22960 download_size: 146571384 dataset_size: 362962836 - config_name: CohereForAI-aya_collection-translated_nqopen features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 397677612 num_examples: 1758500 - name: validation num_bytes: 16780970 num_examples: 72200 download_size: 136208663 dataset_size: 414458582 - config_name: CohereForAI-aya_collection-translated_paws features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 303643575 num_examples: 494010 - name: test num_bytes: 49242541 num_examples: 80000 - name: validation num_bytes: 49475307 num_examples: 80000 download_size: 66436419 dataset_size: 402361423 - config_name: CohereForAI-aya_collection-translated_piqa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 113290227 num_examples: 161130 - name: validation num_bytes: 12924744 num_examples: 18380 download_size: 45954644 dataset_size: 126214971 - config_name: CohereForAI-aya_collection-translated_wikiqa features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: dataset_name dtype: string - name: sub_dataset_name dtype: string - name: task_type dtype: string - name: template_id dtype: int64 - name: language dtype: string - name: script dtype: string - name: split dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 5014300 num_examples: 10400 - name: test num_bytes: 1378807 num_examples: 2930 - name: validation num_bytes: 685770 num_examples: 1400 download_size: 2872586 dataset_size: 7078877 - config_name: CohereForAI-aya_dataset features: - name: inputs dtype: string - name: targets dtype: string - name: language dtype: string - name: language_code dtype: string - name: annotation_type dtype: string - name: user_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 8314232 num_examples: 13960 - name: test num_bytes: 246400 num_examples: 250 download_size: 3778631 dataset_size: 8560632 - config_name: CohereForAI-aya_evaluation_suite-aya_human_annotated features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: language dtype: string - name: script dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 222650 num_examples: 250 download_size: 120393 dataset_size: 222650 - config_name: CohereForAI-aya_evaluation_suite-dolly_human_edited features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: language dtype: string - name: script dtype: string - name: source_id dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 188495 num_examples: 200 download_size: 100291 dataset_size: 188495 - config_name: CohereForAI-aya_evaluation_suite-dolly_machine_translated features: - name: id dtype: int64 - name: inputs dtype: string - name: targets dtype: string - name: language dtype: string - name: script dtype: string - name: source_id dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 3491803 num_examples: 2000 download_size: 1762303 dataset_size: 3491803 configs: - config_name: CohereForAI-aya_collection-aya_dataset data_files: - split: train path: CohereForAI-aya_collection-aya_dataset/train-* - config_name: CohereForAI-aya_collection-aya_human_annotated data_files: - split: test path: CohereForAI-aya_collection-aya_human_annotated/test-* - config_name: CohereForAI-aya_collection-templated_afrisenti data_files: - split: train path: CohereForAI-aya_collection-templated_afrisenti/train-* - split: test path: CohereForAI-aya_collection-templated_afrisenti/test-* - split: validation path: CohereForAI-aya_collection-templated_afrisenti/validation-* - config_name: CohereForAI-aya_collection-templated_mintaka data_files: - split: train path: CohereForAI-aya_collection-templated_mintaka/train-* - split: test path: CohereForAI-aya_collection-templated_mintaka/test-* - split: validation path: CohereForAI-aya_collection-templated_mintaka/validation-* - config_name: CohereForAI-aya_collection-templated_ntx_llm data_files: - split: train path: CohereForAI-aya_collection-templated_ntx_llm/train-* - config_name: CohereForAI-aya_collection-templated_xcsqa data_files: - split: validation path: CohereForAI-aya_collection-templated_xcsqa/validation-* - config_name: CohereForAI-aya_collection-templated_xlel_wd data_files: - split: train path: CohereForAI-aya_collection-templated_xlel_wd/train-* - split: test path: CohereForAI-aya_collection-templated_xlel_wd/test-* - split: validation path: CohereForAI-aya_collection-templated_xlel_wd/validation-* - config_name: CohereForAI-aya_collection-translated_adversarial_qa data_files: - split: train path: CohereForAI-aya_collection-translated_adversarial_qa/train-* - split: test path: CohereForAI-aya_collection-translated_adversarial_qa/test-* - split: validation path: CohereForAI-aya_collection-translated_adversarial_qa/validation-* - config_name: CohereForAI-aya_collection-translated_dolly data_files: - split: train path: CohereForAI-aya_collection-translated_dolly/train-* - config_name: CohereForAI-aya_collection-translated_flan_coqa data_files: - split: train path: CohereForAI-aya_collection-translated_flan_coqa/train-* - config_name: CohereForAI-aya_collection-translated_flan_gem_wiki data_files: - split: train path: CohereForAI-aya_collection-translated_flan_gem_wiki/train-* - config_name: CohereForAI-aya_collection-translated_flan_qa data_files: - split: train path: CohereForAI-aya_collection-translated_flan_qa/train-* - config_name: CohereForAI-aya_collection-translated_joke_explaination data_files: - split: train path: CohereForAI-aya_collection-translated_joke_explaination/train-* - config_name: CohereForAI-aya_collection-translated_mintaka data_files: - split: train path: CohereForAI-aya_collection-translated_mintaka/train-* - split: test path: CohereForAI-aya_collection-translated_mintaka/test-* - split: validation path: CohereForAI-aya_collection-translated_mintaka/validation-* - config_name: CohereForAI-aya_collection-translated_mlqa data_files: - split: test path: CohereForAI-aya_collection-translated_mlqa/test-* - split: validation path: CohereForAI-aya_collection-translated_mlqa/validation-* - config_name: CohereForAI-aya_collection-translated_nqopen data_files: - split: train path: CohereForAI-aya_collection-translated_nqopen/train-* - split: validation path: CohereForAI-aya_collection-translated_nqopen/validation-* - config_name: CohereForAI-aya_collection-translated_paws data_files: - split: train path: CohereForAI-aya_collection-translated_paws/train-* - split: test path: CohereForAI-aya_collection-translated_paws/test-* - split: validation path: CohereForAI-aya_collection-translated_paws/validation-* - config_name: CohereForAI-aya_collection-translated_piqa data_files: - split: train path: CohereForAI-aya_collection-translated_piqa/train-* - split: validation path: CohereForAI-aya_collection-translated_piqa/validation-* - config_name: CohereForAI-aya_collection-translated_wikiqa data_files: - split: train path: CohereForAI-aya_collection-translated_wikiqa/train-* - split: test path: CohereForAI-aya_collection-translated_wikiqa/test-* - split: validation path: CohereForAI-aya_collection-translated_wikiqa/validation-* - config_name: CohereForAI-aya_dataset data_files: - split: train path: CohereForAI-aya_dataset/train-* - split: test path: CohereForAI-aya_dataset/test-* - config_name: CohereForAI-aya_evaluation_suite-aya_human_annotated data_files: - split: test path: CohereForAI-aya_evaluation_suite-aya_human_annotated/test-* - config_name: CohereForAI-aya_evaluation_suite-dolly_human_edited data_files: - split: test path: CohereForAI-aya_evaluation_suite-dolly_human_edited/test-* - config_name: CohereForAI-aya_evaluation_suite-dolly_machine_translated data_files: - split: test path: CohereForAI-aya_evaluation_suite-dolly_machine_translated/test-* license: apache-2.0 task_categories: - text-classification - translation - summarization language: - ar pretty_name: 2A size_categories: - 1M ## **Arabic Aya (2A) : A Curated Subset of the Aya Collection for Arabic Language Processing** ### Dataset Sources & Infos - **Data Origin**: Derived from 69 subsets of the original Aya datasets : [CohereForAI/aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection), [CohereForAI/aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset), and [CohereForAI/aya_evaluation_suite](https://huggingface.co/datasets/CohereForAI/aya_evaluation_suite). - **Languages**: Modern Standard Arabic (MSA) and a variety of Arabic dialects ( 'arb', 'arz', 'ary', 'ars', 'knc', 'acm', 'apc', 'aeb', 'ajp', 'acq' ) - **Applications**: `Language Modeling`, `Text Classification`, `Sentiment Analysis`, `Dialect Identification`, `Translation` - **Paper:** [2402.06619](https://huggingface.co/papers/2402.06619) - **Maintainer:** [Elfilali Ali](https://huggingface.co/Ali-C137) - **License:** Apache-2.0 ### Overview `Arabic Aya` is a meticulously curated dataset derived from the comprehensive Aya collection by [CohereForAI](https://huggingface.co/CohereForAI), specifically focusing on Arabic text data. This dataset aggregates content from the [CohereForAI/aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection), [CohereForAI/aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset), and [CohereForAI/aya_evaluation_suite](https://huggingface.co/datasets/CohereForAI/aya_evaluation_suite), filtering out all but the Arabic content, including both Modern Standard Arabic (MSA) and various regional dialects. ### Purpose The aim of 'Arabic Aya' is to provide researchers, technologists, and linguists with a ready-to-use Arabic text resource, significantly reducing the time and effort required for data preprocessing in NLP and AI projects focused on the Arabic language. - Use the Aya datasets out of the box for your Arabic applications and research 😀 ### Usage This dataset serves as a foundational tool for those embarking on Arabic language projects, from academic research to commercial applications. By providing a pre-filtered source of Arabic text, 'Arabic Aya' enables users to dive straight into model training, analysis, and application development without the preliminary hassle of data cleaning and language filtering. #### Use with HuggingFace's datasets library To load this dataset with Datasets, you'll need to install Datasets as `pip install datasets --upgrade` and then use a similar code to the following: ```python from datasets import load_dataset dataset = load_dataset("2A2I/Arabic_Aya", "CohereForAI-aya_collection-templated_mintaka") ``` In the above code snippet, "CohereForAI-aya_collection-templated_mintaka" refers to the arabic version (100k rows) of the original "templated_mintaka" subset (780k rows) of the aya_collection. You can load other subsets by specifying its name at the time of loading the dataset. ### Access and Contribution Available on the Hugging Face Hub under [2A2I/Arabic_Aya](https://huggingface.co/datasets/2A2I/Arabic_Aya), 'Arabic Aya' invites contributions from the community. Users are encouraged to offer feedback, suggest improvements. ### Support and Collaboration We are committed to fostering an inclusive and supportive environment around Arabic AI and NLP research. For support, collaboration, or queries regarding the dataset, please reach out through the Hugging Face Hub's discussion section or reach out at [2A2I Contact Email](arabic.ai.initiative@gmail.com). # Original Dataset Card of Aya by CohereForAI ![Aya Header](https://huggingface.co/datasets/CohereForAI/aya_collection/resolve/main/aya_header.png) # Dataset Summary The Aya Collection is a massive multilingual collection consisting of 513 million instances of prompts and completions covering a wide range of tasks. This collection incorporates instruction-style templates from fluent speakers and applies them to a curated list of datasets, as well as translations of instruction-style datasets into 101 languages. Aya Dataset, a human-curated multilingual instruction and response dataset, is also part of this collection. See our paper for more details regarding the collection. - **Curated by:** Contributors of [Aya Open Science Intiative](https://cohere.com/research/aya) - **Language(s):** 115 languages - **License:** [Apache 2.0](https://opensource.org/license/apache-2-0) - **Aya Datasets Family:** | Name | Explanation | |------|--------------| | [aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset) | Human-annotated multilingual instruction finetuning dataset, comprising over 204K instances across 65 languages. | | [aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection) | Created by applying instruction-style templates from fluent speakers to 44 datasets, including translations of 19 instruction-style datasets into 101 languages.| | [aya_evaluation_suite](https://huggingface.co/datasets/CohereForAI/aya_evaluation_suite) | A diverse evaluation set for multilingual open-ended generation, featuring 250 culturally grounded prompts in 7 languages, 200 translated prompts in 24 languages, and human-edited versions selected for cross-cultural relevance from English Dolly in 6 languages.| # Dataset The `Aya Collection` is a comprehensive, large corpus of datasets that can be used by researchers around the world to train multilingual models. Our goal is only to include datasets with permissive licensing for manipulation and redistribution. The `Aya Collection` consists of three different sources of data: 1. Templated data: We collaborated with fluent speakers to create templates that allowed for the automatic expansion of existing datasets into various languages. 2. Translated data: We translated a hand-selected subset of 19 datasets into 101 languages (114 dialects) using the NLLB 3.3B parameter machine translation model. 3. Aya Dataset: We release the [Aya Dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset) as a subset of the overall collection. This is the only dataset in the collection that is human-annotated in its entirety. ## Load with Datasets To load this dataset with Datasets, you'll need to install Datasets as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset dataset = load_dataset("CohereForAI/aya_collection", "templated_mintaka") ``` In the above code snippet, "templated_mintaka" refers to a subset of the aya_collection. You can load other subsets by specifying its name at the time of loading the dataset. ## Data Instances An example of a `train` instance looks as follows: ```json {'id': 246001, 'inputs': 'The following query in English is taken from the geography category. What could be the answer to the question?\nWhat is the seventh tallest mountain in North America?', 'targets': 'The answer is Mount Lucania.', 'dataset_name': 'Mintaka-inst', 'sub_dataset_name': '-', 'task_type': 'question-answering', 'template_id': 3, 'language': 'eng', 'split': 'train', 'script': 'Latn' } ``` ## Data Fields The data fields are the same among all splits: - `id:` Unique id of the data point - `inputs:` Prompt or input to the language model. - `targets:` Completion or output of the language model. - `dataset_name:` The name of the source dataset that the data point was taken from - `sub_dataset_name:` If the source is a collection, this field indicates which part of that collection the data point was taken from. If it is not a collection, this field is left blank. - `task_type:` The task type that this conversation belongs to. - `template_id`: The id of the template applied to this data point. - `language:` The ISO code of the dialect of the conversation. - `script:` The script of the language. - `split:` Indicates whether the data point is part of the `train` or the `test` split. ### Statistics The total number of data points, including the Aya Dataset` is 513,758,189. To view the breakdown of dialect codes and the respective templated and translated data point counts in the Aya Collection , refer to the toggled table below.
Breakdown of Aya Collection data point counts grouped by dialects |dialect code|language|translated data point count|templated data point count|total count | |------------|--------|---------------------------|--------------------------|---------------| |ace |Achinese|8240684 |2000 |8242684 | |acm |Arabic |4120342 |0 |4120342 | |acq |Arabic |4120342 |0 |4120342 | |aeb |Arabic |4120342 |0 |4120342 | |afr |Afrikaans|4120342 |6108 |4126450 | |ajp |Arabic |4120342 |0 |4120342 | |als |Albanian|4120342 |0 |4120342 | |amh |Amharic |4120342 |25327 |4145669 | |apc |Arabic |4120342 |0 |4120342 | |arb |Arabic |6424999 |216430 |6641429 | |ars |Arabic |4120342 |0 |4120342 | |ary |Arabic |4120342 |18076 |4138418 | |arz |Arabic |4120342 |0 |4120342 | |azb |Azerbaijani|4120342 |0 |4120342 | |azj |Azerbaijani|4120342 |0 |4120342 | |bel |Belarusian|4120342 |21273 |4141615 | |ben |Bengali |4120342 |30661 |4151003 | |bjn |Banjar |8240684 |2000 |8242684 | |bul |Bulgarian|4120342 |37722 |4158064 | |cat |Catalan |4120342 |66900 |4187242 | |ceb |Cebuano |4120342 |0 |4120342 | |ces |Czech |4120342 |179604 |4299946 | |ckb |Kurdish |4120342 |0 |4120342 | |cym |Welsh |4120342 |0 |4120342 | |dan |Danish |4120342 |36310 |4156652 | |deu |German |4120342 |1326722 |5447064 | |ell |Greek |4120342 |40291 |4160633 | |eng |English |9771427 |8066678 |17838105 | |epo |Esperanto|4120342 |0 |4120342 | |est |Estonian|4120342 |0 |4120342 | |eus |Basque |4120342 |0 |4120342 | |fin |Finnish |4120342 |457895 |4578237 | |fra |French |4120342 |835520 |4955862 | |gla |Scottish Gaelic|4120342 |0 |4120342 | |gle |Irish |4120342 |0 |4120342 | |glg |Galician|4120342 |0 |4120342 | |guj |Gujarati|4120342 |2157 |4122499 | |hat |Haitian Creole|4120342 |0 |4120342 | |hau |Hausa |4120342 |51396 |4171738 | |heb |Hebrew |4120342 |103466 |4223808 | |hin |Hindi |4120342 |260387 |4380729 | |hun |Hungarian|4120342 |82039 |4202381 | |hye |Armenian|4120342 |7080 |4127422 | |ibo |Igbo |4120342 |36312 |4156654 | |ind |Indonesian|4120342 |45709 |4166051 | |isl |Icelandic|4120342 |0 |4120342 | |ita |Italian |4120342 |405682 |4526024 | |jav |Javanese|4120342 |829 |4121171 | |jpn |Japanese|4120342 |2693177 |6813519 | |kan |Kannada |4120342 |1156 |4121498 | |kas |Kashmiri|4120342 |0 |4120342 | |kat |Georgian|4120342 |0 |4120342 | |kaz |Kazakh |4120342 |0 |4120342 | |khk |Mongolian|4120342 |0 |4120342 | |khm |Khmer |4120342 |0 |4120342 | |kir |Kyrgyz |4120342 |0 |4120342 | |kmr |Kurdish |4120342 |0 |4120342 | |knc |Kanuri |8240684 |0 |8240684 | |kor |Korean |4120342 |41011 |4161353 | |lao |Lao |4120342 |0 |4120342 | |lit |Lithuanian|4120342 |0 |4120342 | |ltz |Luxembourgish|4120342 |0 |4120342 | |lvs |Latvian |4120342 |0 |4120342 | |mal |Malayalam|4120342 |4347 |4124689 | |mar |Marathi |4120342 |3678 |4124020 | |min |Minangkabau|6753788 |2000 |6755788 | |mkd |Macedonian|4120342 |0 |4120342 | |mlt |Maltese |4120342 |0 |4120342 | |mni |Manipuri|4120342 |0 |4120342 | |mri |Maori |4120342 |0 |4120342 | |mya |Burmese |4120342 |0 |4120342 | |nld |Dutch |4120342 |220181 |4340523 | |nno |Norwegian|4120342 |0 |4120342 | |nob |Norwegian|4120342 |0 |4120342 | |npi |Nepali |4120342 |0 |4120342 | |nso |Northern Sotho|4120342 |0 |4120342 | |pbt |Pashto |4120342 |0 |4120342 | |pes |Persian |4120342 |245520 |4365862 | |plt |Malagasy|4120342 |0 |4120342 | |pol |Polish |4120342 |332503 |4452845 | |por |Portuguese|4120342 |287432 |4407774 | |ron |Romanian|4120342 |36359 |4156701 | |rus |Russian |4120342 |545920 |4666262 | |sin |Sinhala |4120342 |195 |4120537 | |slk |Slovak |4120342 |27845 |4148187 | |slv |Slovenian|4120342 |25731 |4146073 | |smo |Samoan |4120342 |0 |4120342 | |sna |Shona |4120342 |3684 |4124026 | |snd |Sindhi |4120342 |0 |4120342 | |som |Somali |4120342 |2926 |4123268 | |sot |Southern Sotho|4120342 |0 |4120342 | |spa |Spanish |4120342 |379194 |4499536 | |srp |Serbian |4120342 |77124 |4197466 | |sun |Sundanese|4120342 |2208 |4122550 | |swe |Swedish |4120342 |76486 |4196828 | |swh |Swahili |4120342 |12726 |4133068 | |tam |Tamil |4120342 |11462 |4131804 | |taq |Tamasheq|4120342 |0 |4120342 | |tel |Telugu |4120342 |477821 |4598163 | |tgk |Tajik |4120342 |0 |4120342 | |tha |Thai |4120342 |2125180 |6245522 | |tur |Turkish |4120342 |59932 |4180274 | |ukr |Ukrainian|4120342 |189384 |4309726 | |urd |Urdu |4120342 |337739 |4458081 | |uzn |Uzbek |4120342 |0 |4120342 | |vie |Vietnamese|4120342 |42232 |4162574 | |xho |Xhosa |4120342 |2952 |4123294 | |ydd |Yiddish |4120342 |0 |4120342 | |yor |Yoruba |4120342 |4907 |4125249 | |yue |Chinese |4120342 |0 |4120342 | |zho-Hans |Chinese |4120342 |54528 |4174870 | |zho-Hant |Chinese |4120342 |0 |4120342 | |zsm |Malay |4120342 |13950 |4134292 | |zul |Zulu |4120342 |786 |4121128 | |arq |Arabic |0 |6046 |6046 | |ban |Balinese|0 |2000 |2000 | |bbc |Toba Batak|0 |2000 |2000 | |bem |Bemba |0 |776 |776 | |fil |Filipino|0 |220 |220 | |fon |Fon |0 |845 |845 | |hrv |Croatian|0 |9007 |9007 | |kin |Kinyarwanda|0 |11165 |11165 | |lij |Ligurian|0 |6409 |6409 | |mad |Madurese|0 |2000 |2000 | |nij |Ngaju |0 |2000 |2000 | |nor |Norwegian|0 |72352 |72352 | |pan |Punjabi |0 |2156 |2156 | |twi |Twi |0 |10840 |10840 | |wol |Wolof |0 |785 |785 | |zho |Chinese |0 |74972 |74972 | PS: Templated data also includes Mozambican Portuguese, which doesn't have its own ISO language code.

# Motivations & Intentions - **Curation Rationale:** Automatic augmentation of existing datasets serves to enhance the available linguistic resources for multiple languages. The list of languages was initially established from mT5 and aligned with the annotators’ language list and NLLB translation model. The datasets were translated directly from English for all languages. # Additional Information ## Provenance - **Methods Used:** A combination of crowd-sourced templating and automatic translation was employed to source this dataset. - **Methodology Details:** - *Source:* Existing NLP datasets - *Dates of Collection:* May 2023 - Dec 2023 ## Dataset Version and Maintenance - **Maintenance Status:** Actively Maintained - **Version Details:** - *Current version:* 1.0 - *Last Update:* 02/2024 - *First Release:* 02/2024 ## Authorship - **Publishing Organization:** [Cohere For AI](https://cohere.com/research) - **Industry Type:** Not-for-profit - Tech - **Contact Details:** https://cohere.com/research/aya ## Licensing Information This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Apache 2.0](https://opensource.org/license/apache-2-0) License. ## Citation Information ```bibtex @misc{singh2024aya, title={Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning}, author={Shivalika Singh and Freddie Vargus and Daniel Dsouza and Börje F. Karlsson and Abinaya Mahendiran and Wei-Yin Ko and Herumb Shandilya and Jay Patel and Deividas Mataciunas and Laura OMahony and Mike Zhang and Ramith Hettiarachchi and Joseph Wilson and Marina Machado and Luisa Souza Moura and Dominik Krzemiński and Hakimeh Fadaei and Irem Ergün and Ifeoma Okoh and Aisha Alaagib and Oshan Mudannayake and Zaid Alyafeai and Vu Minh Chien and Sebastian Ruder and Surya Guthikonda and Emad A. Alghamdi and Sebastian Gehrmann and Niklas Muennighoff and Max Bartolo and Julia Kreutzer and Ahmet Üstün and Marzieh Fadaee and Sara Hooker}, year={2024}, eprint={2402.06619}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```