Datasets:

Modalities:
Text
Formats:
json
Languages:
Kazakh
Libraries:
Datasets
Dask

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KazNU Dataset Card

This dataset contains a collection of JSON files for NLP tasks in Kazakh mainly synthesized and translated from original sources. The alpaca-style dataset has three columns: instruction, input, output. The file naming convention is structured as follows:

<Date>_<DatasetType>_<Language>_<Domain>_<TokenCount>.json

where:

  • Date: The date stamp in YYYY.MM.DD format.
  • DatasetType: The type of dataset (for example, instruct).
  • Language: Language code (here, kk for Kazakh).
  • Domain: The domain or sub-task descriptor.
  • TokenCount: The last number before the .json extension representing the number of tokens.

Overall Statistics

  • Total Files: 47
  • Total Tokens: 1,767,476,244
  • Average Tokens per File: 37,605,877.53

File Details

File Name Date Dataset Type Language Domain Tokens
2024.09.17_instruct_kk_nlp-bundle_1157262.json 2024.09.17 instruct kk nlp-bundle 1157262
2024.09.17_instruct_kk_nlp-bundle_3383561.json 2024.09.17 instruct kk nlp-bundle 3383561
2024.09.17_instruct_kk_nlp-bundle_409586136.json 2024.09.17 instruct kk nlp-bundle 409586136
2024.09.17_instruct_kk_synthetic_1455707.json 2024.09.17 instruct kk synthetic 1455707
2024.09.23_instruct_kk_QnA-MBZUAI-LaMini-instruction-train.json_98559875.json 2024.09.23 instruct kk QnA-MBZUAI-LaMini-instruction-train.json 98559875
2024.09.23_instruct_kk_QnA-nvidia-HelpSteer-train.json_12192564.json 2024.09.23 instruct kk QnA-nvidia-HelpSteer-train.json 12192564
2024.09.23_instruct_kk_QnA-nvidia-HelpSteer-validation.json_626944.json 2024.09.23 instruct kk QnA-nvidia-HelpSteer-validation.json 626944
2024.09.23_instruct_kk_Summarization-ccdv-WCEP-10-test.json_806955.json 2024.09.23 instruct kk Summarization-ccdv-WCEP-10-test.json 806955
2024.09.23_instruct_kk_Summarization-ccdv-WCEP-10-train.json_6417518.json 2024.09.23 instruct kk Summarization-ccdv-WCEP-10-train.json 6417518
2024.09.23_instruct_kk_Summarization-ccdv-WCEP-10-validation.json_812622.json 2024.09.23 instruct kk Summarization-ccdv-WCEP-10-validation.json 812622
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-test.json_7963755.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-test.json 7963755
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-test-ru.json_8820.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-test-ru.json 8820
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-test-tr.json_234407.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-test-tr.json 234407
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-train.json_27713081.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-train.json 27713081
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-train-ru.json_18464.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-train-ru.json 18464
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-train-tr.json_865327.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-train-tr.json 865327
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-validation.json_3877178.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-validation.json 3877178
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-validation-ru.json_5521.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-validation-ru.json 5521
2024.09.23_instruct_kk_Summarization-GEM-wiki-lingua-validation-tr.json_124743.json 2024.09.23 instruct kk Summarization-GEM-wiki-lingua-validation-tr.json 124743
2024.09.23_instruct_kk_Summarization-gigaword-test.json_53250.json 2024.09.23 instruct kk Summarization-gigaword-test.json 53250
2024.09.23_instruct_kk_Summarization-gigaword-train.json_106578348.json 2024.09.23 instruct kk Summarization-gigaword-train.json 106578348
2024.09.23_instruct_kk_Summarization-knkarthick-dialogsum-test.json_195908.json 2024.09.23 instruct kk Summarization-knkarthick-dialogsum-test.json 195908
2024.09.23_instruct_kk_Summarization-knkarthick-dialogsum-train.json_1651473.json 2024.09.23 instruct kk Summarization-knkarthick-dialogsum-train.json 1651473
2024.09.23_instruct_kk_Summarization-knkarthick-dialogsum-validation.json_64177.json 2024.09.23 instruct kk Summarization-knkarthick-dialogsum-validation.json 64177
2024.09.23_instruct_kk_Summarization-multi-news-test.json_4759396.json 2024.09.23 instruct kk Summarization-multi-news-test.json 4759396
2024.09.23_instruct_kk_Summarization-multi-news-train.json_38243603.json 2024.09.23 instruct kk Summarization-multi-news-train.json 38243603
2024.09.23_instruct_kk_Summarization-multi-news-validation.json_4760091.json 2024.09.23 instruct kk Summarization-multi-news-validation.json 4760091
2024.12.04_instruct_kk_gpt-generated-kazakh-culture_406488.json 2024.12.04 instruct kk gpt-generated-kazakh-culture 406488
2024.09.23_instruct_kk_QnA-hotpot-qa-train.json_31300907.json 2024.09.23 instruct kk QnA-hotpot-qa-train.json 31300907
2024.09.23_instruct_kk_QnA-hotpot-qa-validation.json_2808380.json 2024.09.23 instruct kk QnA-hotpot-qa-validation.json 2808380
2024.09.23_instruct_kk_QnA-Open-Orca-OpenOrca-train_808125526.json 2024.09.23 instruct kk QnA-Open-Orca-OpenOrca-train 808125526
2024.09.23_instruct_kk_QnA-rajpurkar-squad-train.json_3293782.json 2024.09.23 instruct kk QnA-rajpurkar-squad-train.json 3293782
2024.09.23_instruct_kk_QnA-rajpurkar-squad-validation.json_193748.json 2024.09.23 instruct kk QnA-rajpurkar-squad-validation.json 193748
2024.09.23_instruct_kk_Summarization-billsum-ca-test.json_1249997.json 2024.09.23 instruct kk Summarization-billsum-ca-test.json 1249997
2024.09.23_instruct_kk_Summarization-billsum-test.json_2250638.json 2024.09.23 instruct kk Summarization-billsum-test.json 2250638
2024.09.23_instruct_kk_Summarization-billsum-train.json_13101432.json 2024.09.23 instruct kk Summarization-billsum-train.json 13101432
2024.09.23_instruct_kk_Summarization-csebuetnlp-xlsum-test.json_4079890.json 2024.09.23 instruct kk Summarization-csebuetnlp-xlsum-test.json 4079890
2024.09.23_instruct_kk_Summarization-csebuetnlp-xlsum-train.json_109048815.json 2024.09.23 instruct kk Summarization-csebuetnlp-xlsum-train.json 109048815
2024.09.23_instruct_kk_Summarization-csebuetnlp-xlsum-validation.json_4082113.json 2024.09.23 instruct kk Summarization-csebuetnlp-xlsum-validation.json 4082113
2024.09.06_instruct_kk_benchmarks-arc_119687.json 2024.09.06 instruct kk benchmarks-arc 119687
2024.09.06_instruct_kk_benchmarks-gsm8k_628249.json 2024.09.06 instruct kk benchmarks-gsm8k 628249
2024.09.06_instruct_kk_benchmarks-winogrande_1012779.json 2024.09.06 instruct kk benchmarks-winogrande 1012779
2024.09.09_instruct_kk_benchmarks-hellaswag_5134445.json 2024.09.09 instruct kk benchmarks-hellaswag 5134445
2024.09.09_instruct_kk_benchmarks-mmlu_17725926.json 2024.09.09 instruct kk benchmarks-mmlu 17725926
2024.10.17_instruct_kk_benchmarks-drop_12879456.json 2024.10.17 instruct kk benchmarks-drop 12879456
2024.10.17_instruct_kk_benchmarks-humaneval_584137.json 2024.10.17 instruct kk benchmarks-humaneval 584137
2024.10.23_instruct_kk_benchmark-mmlu_mcq_17333163.json 2024.10.23 instruct kk benchmark-mmlu_mcq 17333163

Usage

You can load these files to build or evaluate NLP models in Kazakh. Each filename carries metadata that aids in dataset management and versioning.

License & Citation

This dataset is intended for research purposes. Please cite appropriately if used in publications.

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