Hugging Face's logo

Datasets:
janavivekariya
/
aya_collection

Tasks:
Text Classification
Summarization
Translation
Modalities:
Tabular
Text
Formats:
parquet
Languages:
Achinese
Afrikaans
Amharic
Size:
100M - 1B
ArXiv:
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
janavivekariya MarziehFadaee commited on
Commit
beca4e9
·
verified ·
0 Parent(s):

Duplicate from CohereLabs/aya_collection

Browse files

Co-authored-by: Marzieh Fadaee <[email protected]>

This view is limited to 50 files because it contains too many changes.   See raw diff
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+ - config_name: templated_thai_scb
2289
+ data_files:
2290
+ - split: test
2291
+ path: templated_thai_scb/test-*
2292
+ - split: train
2293
+ path: templated_thai_scb/train-*
2294
+ - split: validation
2295
+ path: templated_thai_scb/validation-*
2296
+ - config_name: templated_thai_usembassy
2297
+ data_files:
2298
+ - split: train
2299
+ path: templated_thai_usembassy/train-*
2300
+ - config_name: templated_thai_wikitionary
2301
+ data_files:
2302
+ - split: train
2303
+ path: templated_thai_wikitionary/train-*
2304
+ - config_name: templated_turku_paraphrase
2305
+ data_files:
2306
+ - split: test
2307
+ path: templated_turku_paraphrase/test-*
2308
+ - split: train
2309
+ path: templated_turku_paraphrase/train-*
2310
+ - split: validation
2311
+ path: templated_turku_paraphrase/validation-*
2312
+ - config_name: templated_ukranian_gec
2313
+ data_files:
2314
+ - split: train
2315
+ path: templated_ukranian_gec/train-*
2316
+ - config_name: templated_uner_llm
2317
+ data_files:
2318
+ - split: train
2319
+ path: templated_uner_llm/train-*
2320
+ - split: test
2321
+ path: templated_uner_llm/test-*
2322
+ - split: validation
2323
+ path: templated_uner_llm/validation-*
2324
+ - config_name: templated_urdu_news_category
2325
+ data_files:
2326
+ - split: test
2327
+ path: templated_urdu_news_category/test-*
2328
+ - split: train
2329
+ path: templated_urdu_news_category/train-*
2330
+ - config_name: templated_urdu_news_gen
2331
+ data_files:
2332
+ - split: test
2333
+ path: templated_urdu_news_gen/test-*
2334
+ - split: train
2335
+ path: templated_urdu_news_gen/train-*
2336
+ - config_name: templated_urdu_news_headline
2337
+ data_files:
2338
+ - split: test
2339
+ path: templated_urdu_news_headline/test-*
2340
+ - split: train
2341
+ path: templated_urdu_news_headline/train-*
2342
+ - config_name: templated_wiki_split
2343
+ data_files:
2344
+ - split: test
2345
+ path: templated_wiki_split/test-*
2346
+ - split: train
2347
+ path: templated_wiki_split/train-*
2348
+ - split: validation
2349
+ path: templated_wiki_split/validation-*
2350
+ - config_name: templated_xcsqa
2351
+ data_files:
2352
+ - split: validation
2353
+ path: templated_xcsqa/validation-*
2354
+ - config_name: templated_xlel_wd
2355
+ data_files:
2356
+ - split: test
2357
+ path: templated_xlel_wd/test-*
2358
+ - split: train
2359
+ path: templated_xlel_wd/train-*
2360
+ - split: validation
2361
+ path: templated_xlel_wd/validation-*
2362
+ - config_name: templated_xwikis
2363
+ data_files:
2364
+ - split: test
2365
+ path: templated_xwikis/test-*
2366
+ - split: train
2367
+ path: templated_xwikis/train-*
2368
+ - split: validation
2369
+ path: templated_xwikis/validation-*
2370
+ - config_name: translated_adversarial_qa
2371
+ data_files:
2372
+ - split: test
2373
+ path: translated_adversarial_qa/test-*
2374
+ - split: train
2375
+ path: translated_adversarial_qa/train-*
2376
+ - split: validation
2377
+ path: translated_adversarial_qa/validation-*
2378
+ - config_name: translated_cnn_dailymail
2379
+ data_files:
2380
+ - split: test
2381
+ path: translated_cnn_dailymail/test-*
2382
+ - split: train
2383
+ path: translated_cnn_dailymail/train-*
2384
+ - split: validation
2385
+ path: translated_cnn_dailymail/validation-*
2386
+ - config_name: translated_dolly
2387
+ data_files:
2388
+ - split: train
2389
+ path: translated_dolly/train-*
2390
+ - config_name: translated_flan_coqa
2391
+ data_files:
2392
+ - split: train
2393
+ path: translated_flan_coqa/train-*
2394
+ - config_name: translated_flan_cot
2395
+ data_files:
2396
+ - split: train
2397
+ path: translated_flan_cot/train-*
2398
+ - config_name: translated_flan_gem_wiki
2399
+ data_files:
2400
+ - split: train
2401
+ path: translated_flan_gem_wiki/train-*
2402
+ - config_name: translated_flan_lambada
2403
+ data_files:
2404
+ - split: train
2405
+ path: translated_flan_lambada/train-*
2406
+ - config_name: translated_flan_qa
2407
+ data_files:
2408
+ - split: train
2409
+ path: translated_flan_qa/train-*
2410
+ - config_name: translated_hotpotqa
2411
+ data_files:
2412
+ - split: train
2413
+ path: translated_hotpotqa/train-*
2414
+ - split: validation
2415
+ path: translated_hotpotqa/validation-*
2416
+ - config_name: translated_joke_explaination
2417
+ data_files:
2418
+ - split: train
2419
+ path: translated_joke_explaination/train-*
2420
+ - config_name: translated_mintaka
2421
+ data_files:
2422
+ - split: test
2423
+ path: translated_mintaka/test-*
2424
+ - split: train
2425
+ path: translated_mintaka/train-*
2426
+ - split: validation
2427
+ path: translated_mintaka/validation-*
2428
+ - config_name: translated_mlqa
2429
+ data_files:
2430
+ - split: test
2431
+ path: translated_mlqa/test-*
2432
+ - split: validation
2433
+ path: translated_mlqa/validation-*
2434
+ - config_name: translated_nqopen
2435
+ data_files:
2436
+ - split: train
2437
+ path: translated_nqopen/train-*
2438
+ - split: validation
2439
+ path: translated_nqopen/validation-*
2440
+ - config_name: translated_paws
2441
+ data_files:
2442
+ - split: test
2443
+ path: translated_paws/test-*
2444
+ - split: train
2445
+ path: translated_paws/train-*
2446
+ - split: validation
2447
+ path: translated_paws/validation-*
2448
+ - config_name: translated_piqa
2449
+ data_files:
2450
+ - split: train
2451
+ path: translated_piqa/train-*
2452
+ - split: validation
2453
+ path: translated_piqa/validation-*
2454
+ - config_name: translated_soda
2455
+ data_files:
2456
+ - split: test
2457
+ path: translated_soda/test-*
2458
+ - split: validation
2459
+ path: translated_soda/validation-*
2460
+ - split: train
2461
+ path: translated_soda/train-*
2462
+ - config_name: translated_wiki_split
2463
+ data_files:
2464
+ - split: test
2465
+ path: translated_wiki_split/test-*
2466
+ - split: train
2467
+ path: translated_wiki_split/train-*
2468
+ - split: validation
2469
+ path: translated_wiki_split/validation-*
2470
+ - config_name: translated_wikiqa
2471
+ data_files:
2472
+ - split: test
2473
+ path: translated_wikiqa/test-*
2474
+ - split: train
2475
+ path: translated_wikiqa/train-*
2476
+ - split: validation
2477
+ path: translated_wikiqa/validation-*
2478
+ - config_name: translated_xlel_wd
2479
+ data_files:
2480
+ - split: test
2481
+ path: translated_xlel_wd/test-*
2482
+ - split: validation
2483
+ path: translated_xlel_wd/validation-*
2484
+ - split: train
2485
+ path: translated_xlel_wd/train-*
2486
+ ---
2487
+
2488
+ ![Aya Header](https://huggingface.co/datasets/CohereLabs/aya_collection/resolve/main/aya_header.png)
2489
+
2490
+ ****This dataset is uploaded in two places: here and additionally [here](https://huggingface.co/datasets/CohereLabs/aya_collection_language_split) as 'Aya Collection Language Split.' These datasets are identical in content but differ in structure of upload. This dataset is structured by folders split according to dataset name. The version [here](https://huggingface.co/datasets/CohereLabs/aya_collection_language_split) instead divides the Aya collection into folders split by language. We recommend you use the language split version if you are only interested in downloading data for a single or smaller set of languages, and this version if you want to download dataset according to data source or the entire collection.****
2491
+
2492
+ # Dataset Summary
2493
+ The Aya Collection is a massive multilingual collection consisting of 513 million instances of prompts and completions covering a wide range of tasks.
2494
+ 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.
2495
+
2496
+ - **Curated by:** Contributors of [Aya Open Science Intiative](https://cohere.com/research/aya)
2497
+ - **Language(s):** 115 languages
2498
+ - **License:** [Apache 2.0](https://opensource.org/license/apache-2-0)
2499
+
2500
+ - **Aya Datasets Family:**
2501
+ | Name | Explanation |
2502
+ |------|--------------|
2503
+ | [aya_dataset](https://huggingface.co/datasets/CohereLabs/aya_dataset) | Human-annotated multilingual instruction finetuning dataset, comprising over 204K instances across 65 languages. |
2504
+ | [aya_collection](https://huggingface.co/datasets/CohereLabs/aya_collection) | Created by applying instruction-style templates from fluent speakers to 44 datasets, including translations of 19 instruction-style datasets into 101 languages. This collection structured based on dataset level subsets. An alternative version of the collection structured by language subsets is also available.|
2505
+ | [aya_collection_language_split](https://huggingface.co/datasets/CohereLabs/aya_collection_language_split) | Aya Collection structured based on language level subsets. |
2506
+ | [aya_evaluation_suite](https://huggingface.co/datasets/CohereLabs/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.|
2507
+ | [aya_redteaming](https://huggingface.co/datasets/CohereLabs/aya_redteaming)| A red-teaming dataset consisting of harmful prompts in 8 languages across 9 different categories of harm with explicit labels for "global" and "local" harm.|
2508
+
2509
+
2510
+ # Dataset
2511
+ 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.
2512
+
2513
+ The `Aya Collection` consists of three different sources of data:
2514
+
2515
+ 1. Templated data: We collaborated with fluent speakers to create templates that allowed for the automatic expansion of existing datasets into various languages.
2516
+ 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.
2517
+ 3. Aya Dataset: We release the [Aya Dataset](https://huggingface.co/datasets/CohereLabs/aya_dataset) as a subset of the overall collection. This is the only dataset in the collection that is human-annotated in its entirety.
2518
+
2519
+ ## Load with Datasets
2520
+ To load this dataset with Datasets, you'll need to install Datasets as `pip install datasets --upgrade` and then use the following code:
2521
+
2522
+ ```python
2523
+ from datasets import load_dataset
2524
+
2525
+ dataset = load_dataset("CohereLabs/aya_collection", "templated_mintaka")
2526
+ ```
2527
+ 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.
2528
+
2529
+ ## Data Instances
2530
+ An example of a `train` instance looks as follows:
2531
+ ```json
2532
+ {'id': 246001,
2533
+ '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?',
2534
+ 'targets': 'The answer is Mount Lucania.',
2535
+ 'dataset_name': 'Mintaka-inst',
2536
+ 'sub_dataset_name': '-',
2537
+ 'task_type': 'question-answering',
2538
+ 'template_id': 3,
2539
+ 'language': 'eng',
2540
+ 'split': 'train',
2541
+ 'script': 'Latn'
2542
+ }
2543
+ ```
2544
+
2545
+ ## Data Fields
2546
+ The data fields are the same among all splits:
2547
+ - `id:` Unique id of the data point
2548
+ - `inputs:` Prompt or input to the language model.
2549
+ - `targets:` Completion or output of the language model.
2550
+ - `dataset_name:` The name of the source dataset that the data point was taken from
2551
+ - `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.
2552
+ - `task_type:` The task type that this conversation belongs to.
2553
+ - `template_id`: The id of the template applied to this data point.
2554
+ - `language:` The ISO code of the dialect of the conversation.
2555
+ - `script:` The script of the language.
2556
+ - `split:` Indicates whether the data point is part of the `train` or the `test` split.
2557
+
2558
+
2559
+
2560
+ ### Statistics
2561
+ 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.
2562
+
2563
+ <details>
2564
+ <summary> <b> Breakdown of Aya Collection data point counts grouped by dialects </b> </summary>
2565
+
2566
+ |dialect code|language|translated data point count|templated data point count|total count |
2567
+ |------------|--------|---------------------------|--------------------------|---------------|
2568
+ |ace |Achinese|8240684 |2000 |8242684 |
2569
+ |acm |Arabic |4120342 |0 |4120342 |
2570
+ |acq |Arabic |4120342 |0 |4120342 |
2571
+ |aeb |Arabic |4120342 |0 |4120342 |
2572
+ |afr |Afrikaans|4120342 |6108 |4126450 |
2573
+ |ajp |Arabic |4120342 |0 |4120342 |
2574
+ |als |Albanian|4120342 |0 |4120342 |
2575
+ |amh |Amharic |4120342 |25327 |4145669 |
2576
+ |apc |Arabic |4120342 |0 |4120342 |
2577
+ |arb |Arabic |6424999 |216430 |6641429 |
2578
+ |ars |Arabic |4120342 |0 |4120342 |
2579
+ |ary |Arabic |4120342 |18076 |4138418 |
2580
+ |arz |Arabic |4120342 |0 |4120342 |
2581
+ |azb |Azerbaijani|4120342 |0 |4120342 |
2582
+ |azj |Azerbaijani|4120342 |0 |4120342 |
2583
+ |bel |Belarusian|4120342 |21273 |4141615 |
2584
+ |ben |Bengali |4120342 |30661 |4151003 |
2585
+ |bjn |Banjar |8240684 |2000 |8242684 |
2586
+ |bul |Bulgarian|4120342 |37722 |4158064 |
2587
+ |cat |Catalan |4120342 |66900 |4187242 |
2588
+ |ceb |Cebuano |4120342 |0 |4120342 |
2589
+ |ces |Czech |4120342 |179604 |4299946 |
2590
+ |ckb |Kurdish |4120342 |0 |4120342 |
2591
+ |cym |Welsh |4120342 |0 |4120342 |
2592
+ |dan |Danish |4120342 |36310 |4156652 |
2593
+ |deu |German |4120342 |1326722 |5447064 |
2594
+ |ell |Greek |4120342 |40291 |4160633 |
2595
+ |eng |English |9771427 |8066678 |17838105 |
2596
+ |epo |Esperanto|4120342 |0 |4120342 |
2597
+ |est |Estonian|4120342 |0 |4120342 |
2598
+ |eus |Basque |4120342 |0 |4120342 |
2599
+ |fin |Finnish |4120342 |457895 |4578237 |
2600
+ |fra |French |4120342 |835520 |4955862 |
2601
+ |gla |Scottish Gaelic|4120342 |0 |4120342 |
2602
+ |gle |Irish |4120342 |0 |4120342 |
2603
+ |glg |Galician|4120342 |0 |4120342 |
2604
+ |guj |Gujarati|4120342 |2157 |4122499 |
2605
+ |hat |Haitian Creole|4120342 |0 |4120342 |
2606
+ |hau |Hausa |4120342 |51396 |4171738 |
2607
+ |heb |Hebrew |4120342 |103466 |4223808 |
2608
+ |hin |Hindi |4120342 |260387 |4380729 |
2609
+ |hun |Hungarian|4120342 |82039 |4202381 |
2610
+ |hye |Armenian|4120342 |7080 |4127422 |
2611
+ |ibo |Igbo |4120342 |36312 |4156654 |
2612
+ |ind |Indonesian|4120342 |45709 |4166051 |
2613
+ |isl |Icelandic|4120342 |0 |4120342 |
2614
+ |ita |Italian |4120342 |405682 |4526024 |
2615
+ |jav |Javanese|4120342 |829 |4121171 |
2616
+ |jpn |Japanese|4120342 |2693177 |6813519 |
2617
+ |kan |Kannada |4120342 |1156 |4121498 |
2618
+ |kas |Kashmiri|4120342 |0 |4120342 |
2619
+ |kat |Georgian|4120342 |0 |4120342 |
2620
+ |kaz |Kazakh |4120342 |0 |4120342 |
2621
+ |khk |Mongolian|4120342 |0 |4120342 |
2622
+ |khm |Khmer |4120342 |0 |4120342 |
2623
+ |kir |Kyrgyz |4120342 |0 |4120342 |
2624
+ |kmr |Kurdish |4120342 |0 |4120342 |
2625
+ |knc |Kanuri |8240684 |0 |8240684 |
2626
+ |kor |Korean |4120342 |41011 |4161353 |
2627
+ |lao |Lao |4120342 |0 |4120342 |
2628
+ |lit |Lithuanian|4120342 |0 |4120342 |
2629
+ |ltz |Luxembourgish|4120342 |0 |4120342 |
2630
+ |lvs |Latvian |4120342 |0 |4120342 |
2631
+ |mal |Malayalam|4120342 |4347 |4124689 |
2632
+ |mar |Marathi |4120342 |3678 |4124020 |
2633
+ |min |Minangkabau|6753788 |2000 |6755788 |
2634
+ |mkd |Macedonian|4120342 |0 |4120342 |
2635
+ |mlt |Maltese |4120342 |0 |4120342 |
2636
+ |mni |Manipuri|4120342 |0 |4120342 |
2637
+ |mri |Maori |4120342 |0 |4120342 |
2638
+ |mya |Burmese |4120342 |0 |4120342 |
2639
+ |nld |Dutch |4120342 |220181 |4340523 |
2640
+ |nno |Norwegian|4120342 |0 |4120342 |
2641
+ |nob |Norwegian|4120342 |0 |4120342 |
2642
+ |npi |Nepali |4120342 |0 |4120342 |
2643
+ |nso |Northern Sotho|4120342 |0 |4120342 |
2644
+ |pbt |Pashto |4120342 |0 |4120342 |
2645
+ |pes |Persian |4120342 |245520 |4365862 |
2646
+ |plt |Malagasy|4120342 |0 |4120342 |
2647
+ |pol |Polish |4120342 |332503 |4452845 |
2648
+ |por |Portuguese|4120342 |287432 |4407774 |
2649
+ |ron |Romanian|4120342 |36359 |4156701 |
2650
+ |rus |Russian |4120342 |545920 |4666262 |
2651
+ |sin |Sinhala |4120342 |195 |4120537 |
2652
+ |slk |Slovak |4120342 |27845 |4148187 |
2653
+ |slv |Slovenian|4120342 |25731 |4146073 |
2654
+ |smo |Samoan |4120342 |0 |4120342 |
2655
+ |sna |Shona |4120342 |3684 |4124026 |
2656
+ |snd |Sindhi |4120342 |0 |4120342 |
2657
+ |som |Somali |4120342 |2926 |4123268 |
2658
+ |sot |Southern Sotho|4120342 |0 |4120342 |
2659
+ |spa |Spanish |4120342 |379194 |4499536 |
2660
+ |srp |Serbian |4120342 |77124 |4197466 |
2661
+ |sun |Sundanese|4120342 |2208 |4122550 |
2662
+ |swe |Swedish |4120342 |76486 |4196828 |
2663
+ |swh |Swahili |4120342 |12726 |4133068 |
2664
+ |tam |Tamil |4120342 |11462 |4131804 |
2665
+ |taq |Tamasheq|4120342 |0 |4120342 |
2666
+ |tel |Telugu |4120342 |477821 |4598163 |
2667
+ |tgk |Tajik |4120342 |0 |4120342 |
2668
+ |tha |Thai |4120342 |2125180 |6245522 |
2669
+ |tur |Turkish |4120342 |59932 |4180274 |
2670
+ |ukr |Ukrainian|4120342 |189384 |4309726 |
2671
+ |urd |Urdu |4120342 |337739 |4458081 |
2672
+ |uzn |Uzbek |4120342 |0 |4120342 |
2673
+ |vie |Vietnamese|4120342 |42232 |4162574 |
2674
+ |xho |Xhosa |4120342 |2952 |4123294 |
2675
+ |ydd |Yiddish |4120342 |0 |4120342 |
2676
+ |yor |Yoruba |4120342 |4907 |4125249 |
2677
+ |yue |Chinese |4120342 |0 |4120342 |
2678
+ |zho-Hans |Chinese |4120342 |54528 |4174870 |
2679
+ |zho-Hant |Chinese |4120342 |0 |4120342 |
2680
+ |zsm |Malay |4120342 |13950 |4134292 |
2681
+ |zul |Zulu |4120342 |786 |4121128 |
2682
+ |arq |Arabic |0 |6046 |6046 |
2683
+ |ban |Balinese|0 |2000 |2000 |
2684
+ |bbc |Toba Batak|0 |2000 |2000 |
2685
+ |bem |Bemba |0 |776 |776 |
2686
+ |fil |Filipino|0 |220 |220 |
2687
+ |fon |Fon |0 |845 |845 |
2688
+ |hrv |Croatian|0 |9007 |9007 |
2689
+ |kin |Kinyarwanda|0 |11165 |11165 |
2690
+ |lij |Ligurian|0 |6409 |6409 |
2691
+ |mad |Madurese|0 |2000 |2000 |
2692
+ |nij |Ngaju |0 |2000 |2000 |
2693
+ |nor |Norwegian|0 |72352 |72352 |
2694
+ |pan |Punjabi |0 |2156 |2156 |
2695
+ |twi |Twi |0 |10840 |10840 |
2696
+ |wol |Wolof |0 |785 |785 |
2697
+ |zho |Chinese |0 |74972 |74972 |
2698
+
2699
+ PS: Templated data also includes Mozambican Portuguese, which doesn't have its own ISO language code.
2700
+
2701
+ </details>
2702
+
2703
+ <br>
2704
+
2705
+
2706
+ # Motivations & Intentions
2707
+ - **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.
2708
+
2709
+
2710
+ # Additional Information
2711
+ ## Provenance
2712
+ - **Methods Used:** A combination of crowd-sourced templating and automatic translation was employed to source this dataset.
2713
+ - **Methodology Details:**
2714
+ - *Source:* Existing NLP datasets
2715
+ - *Dates of Collection:* May 2023 - Dec 2023
2716
+
2717
+
2718
+ ## Dataset Version and Maintenance
2719
+ - **Maintenance Status:** Actively Maintained
2720
+ - **Version Details:**
2721
+ - *Current version:* 1.0
2722
+ - *Last Update:* 02/2024
2723
+ - *First Release:* 02/2024
2724
+
2725
+
2726
+ ## Authorship
2727
+ - **Publishing Organization:** [Cohere Labs](https://cohere.com/research)
2728
+ - **Industry Type:** Not-for-profit - Tech
2729
+ - **Contact Details:** https://cohere.com/research/aya
2730
+
2731
+
2732
+ ## Licensing Information
2733
+ 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.
2734
+
2735
+
2736
+ ## Citation Information
2737
+ ```bibtex
2738
+ @misc{singh2024aya,
2739
+ title={Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning},
2740
+ 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},
2741
+ year={2024},
2742
+ eprint={2402.06619},
2743
+ archivePrefix={arXiv},
2744
+ primaryClass={cs.CL}
2745
+ }
2746
+
2747
+ ```
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