--- dataset_info: - config_name: 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 splits: - name: train num_bytes: 1703870 num_examples: 4909 download_size: 998499 dataset_size: 1703870 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 402016 num_examples: 256 download_size: 49658 dataset_size: 402016 - config_name: templated_uner_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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 8259554 num_examples: 7992 - name: test num_bytes: 2349655 num_examples: 1997 - name: validation num_bytes: 1073059 num_examples: 998 download_size: 2001352 dataset_size: 11682268 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: validation num_bytes: 297261 num_examples: 1000 download_size: 104307 dataset_size: 297261 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 40044968 num_examples: 50949 - name: test num_bytes: 5192254 num_examples: 6637 - name: validation num_bytes: 4999716 num_examples: 6399 download_size: 31048776 dataset_size: 50236938 - config_name: templated_xwikis 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 splits: - name: train num_bytes: 147846215 num_examples: 31276 - name: test num_bytes: 34828372 num_examples: 6998 - name: validation num_bytes: 65882386 num_examples: 14998 download_size: 168472726 dataset_size: 248556973 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 13844756 num_examples: 20000 - name: test num_bytes: 1505596 num_examples: 2000 - name: validation num_bytes: 1392335 num_examples: 2000 download_size: 6348021 dataset_size: 16742687 - config_name: translated_cnn_dailymail 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 splits: - name: train num_bytes: 284764459 num_examples: 200000 - name: test num_bytes: 33310796 num_examples: 22980 - name: validation num_bytes: 39146476 num_examples: 26736 download_size: 228280361 dataset_size: 357221731 - config_name: translated_dolly 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 splits: - name: train num_bytes: 21966259 num_examples: 29616 download_size: 12062356 dataset_size: 21966259 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 26455946 num_examples: 12818 download_size: 16080989 dataset_size: 26455946 - config_name: translated_flan_cot 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 splits: - name: train num_bytes: 72401586 num_examples: 183820 download_size: 34564552 dataset_size: 72401586 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 84073165 num_examples: 54294 download_size: 52363999 dataset_size: 84073165 - config_name: translated_flan_lambada 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 splits: - name: train num_bytes: 2236958 num_examples: 8558 download_size: 1156298 dataset_size: 2236958 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 355221 num_examples: 1080 download_size: 166753 dataset_size: 355221 - config_name: translated_hotpotqa 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 splits: - name: train num_bytes: 140638090 num_examples: 710952 download_size: 51704787 dataset_size: 140638090 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 789677 num_examples: 1508 download_size: 343907 dataset_size: 789677 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 5661977 num_examples: 28000 - name: test num_bytes: 1608641 num_examples: 8000 - name: validation num_bytes: 829827 num_examples: 4000 download_size: 1732447 dataset_size: 8100445 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: test num_bytes: 36734954 num_examples: 46360 - name: validation num_bytes: 3563390 num_examples: 4592 download_size: 21052230 dataset_size: 40298344 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 56945959 num_examples: 351700 download_size: 19578926 dataset_size: 56945959 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 34768722 num_examples: 98802 - name: test num_bytes: 5625712 num_examples: 16000 - name: validation num_bytes: 5721186 num_examples: 16000 download_size: 8291033 dataset_size: 46115620 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 11873740 num_examples: 32226 download_size: 4759498 dataset_size: 11873740 - config_name: 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: string - name: language_code dtype: string - name: split dtype: string - name: script dtype: string splits: - name: train num_bytes: 551856 num_examples: 2080 - name: test num_bytes: 154223 num_examples: 586 - name: validation num_bytes: 78316 num_examples: 280 download_size: 387555 dataset_size: 784395 configs: - config_name: aya_dataset data_files: - split: train path: aya_dataset/train-* - config_name: templated_ntx_llm data_files: - split: train path: templated_ntx_llm/train-* - config_name: templated_uner_llm data_files: - split: train path: templated_uner_llm/train-* - split: test path: templated_uner_llm/test-* - split: validation path: templated_uner_llm/validation-* - config_name: templated_xcsqa data_files: - split: validation path: templated_xcsqa/validation-* - config_name: templated_xlel_wd data_files: - split: train path: templated_xlel_wd/train-* - split: test path: templated_xlel_wd/test-* - split: validation path: templated_xlel_wd/validation-* - config_name: templated_xwikis data_files: - split: train path: templated_xwikis/train-* - split: test path: templated_xwikis/test-* - split: validation path: templated_xwikis/validation-* - config_name: translated_adversarial_qa data_files: - split: train path: translated_adversarial_qa/train-* - split: test path: translated_adversarial_qa/test-* - split: validation path: translated_adversarial_qa/validation-* - config_name: translated_cnn_dailymail data_files: - split: train path: translated_cnn_dailymail/train-* - split: test path: translated_cnn_dailymail/test-* - split: validation path: translated_cnn_dailymail/validation-* - config_name: translated_dolly data_files: - split: train path: translated_dolly/train-* - config_name: translated_flan_coqa data_files: - split: train path: translated_flan_coqa/train-* - config_name: translated_flan_cot data_files: - split: train path: translated_flan_cot/train-* - config_name: translated_flan_gem_wiki data_files: - split: train path: translated_flan_gem_wiki/train-* - config_name: translated_flan_lambada data_files: - split: train path: translated_flan_lambada/train-* - config_name: translated_flan_qa data_files: - split: train path: translated_flan_qa/train-* - config_name: translated_hotpotqa data_files: - split: train path: translated_hotpotqa/train-* - config_name: translated_joke_explaination data_files: - split: train path: translated_joke_explaination/train-* - config_name: translated_mintaka data_files: - split: train path: translated_mintaka/train-* - split: test path: translated_mintaka/test-* - split: validation path: translated_mintaka/validation-* - config_name: translated_mlqa data_files: - split: test path: translated_mlqa/test-* - split: validation path: translated_mlqa/validation-* - config_name: translated_nqopen data_files: - split: train path: translated_nqopen/train-* - config_name: translated_paws data_files: - split: train path: translated_paws/train-* - split: test path: translated_paws/test-* - split: validation path: translated_paws/validation-* - config_name: translated_piqa data_files: - split: train path: translated_piqa/train-* - config_name: translated_wikiqa data_files: - split: train path: translated_wikiqa/train-* - split: test path: translated_wikiqa/test-* - split: validation path: translated_wikiqa/validation-* license: apache-2.0 task_categories: - question-answering - translation - summarization - zero-shot-classification language: - zh pretty_name: ' Traditional_Chinese-aya_collection' size_categories: - 1M ## 資料集描述 **繁體中文 Aya (Traditional Chinese Aya Chinese;TCA)：專注於繁體中文處理的 Aya 集合的精選子集** ### 概述 `繁體中文 Aya` 是一個精心策劃的資料集，源自 [CohereForAI](https://huggingface.co/CohereForAI) 的綜合 Aya 集合，特別關注繁體中文文本資料。 此資料集結合了來自 [CohereForAI/aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection)，過濾掉除繁體中文、簡體中文內容之外的所有內容。 ### 目標 `繁體中文 Aya` 的目標是為研究人員、技術專家和語言學家提供即用型繁體中文文本資源，顯著減少專注於繁體中文的 NLP 和 AI 專案中數據預處理所需的時間和精力。 ### 資料集來源與資訊 - **資料來源**: 從 [CohereForAI/aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection) 64 個子集而來。 - **語言**: 繁體中文、簡體中文（'zho') - **應用**: 非常適合語言建模、文本分類、情感分析、和機器翻譯等任務。 - **論文連結:** [2402.06619](https://huggingface.co/papers/2402.06619) - **維護人:** [Heng666](https://huggingface.co/Heng666) - **License:** Apache-2.0 ### 使用方法 此資料集是開始繁體中文語言專案（從學術研究到商業應用）的基礎工具。 透過提供預先過濾的繁體中文文本來源，`繁體中文 Aya` 讓研究人員、技術專家和開發人員能夠直接進行模型訓練、分析和應用程式開發，而無需進行資料清理和語言過濾的初步麻煩。 展示範例 ```python from datasets import load_dataset dataset = load_dataset("Heng666/Traditional_Chinese-aya_collection", "aya_dataset") ``` 在上面的程式碼片段中，「aya_dataset」指的是原始 「aya_collection」中「aya_dataset」子集的繁體中文版本（100k行）。 您可以透過在載入資料集時指定其名稱來載入其他子集。 ### 訪問和貢獻 可在 [Heng666/Traditional_Chinese-aya_collection](https://huggingface.co/datasets/Heng666/Traditional_Chinese-aya_collection) 下的 Hugging Face Hub 上獲取， `繁體中文 Aya` 邀請社區做出貢獻。鼓勵用戶提供回饋、提出改進建議。 ### 支持與合作 我們致力於圍繞繁體中文人工智慧和 NLP 研究創造一個包容和支持的環境。如需支援、協作或有關資料集的疑問，請透過 Hugging Face Hub 的討論部分進行聯絡。 # 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} } ```