Datasets:
Size:
10K<n<100K
ArXiv:
| language: | |
| - asm | |
| - bgc | |
| - bht | |
| - ckb | |
| - eng | |
| - ewe | |
| - fra | |
| - guj | |
| - ibo | |
| - kan | |
| - lin | |
| - luo | |
| - mal | |
| - mar | |
| - nag | |
| - nde | |
| - nlx | |
| - pan | |
| - peg | |
| - rus | |
| - tam | |
| - tel | |
| - twi | |
| - ukr | |
| - urd | |
| - vie | |
| - yor | |
| task_categories: | |
| - text-classification | |
| - audio-classification | |
| size_categories: | |
| - 10K<n<100K | |
| # SpeechTaxi | |
| TODO | |
| ## Usage | |
| ```python | |
| # pip install datasets pandas soundfile | |
| from datasets import load_dataset | |
| dataset = load_dataset( | |
| "LennartKeller/SpeechTaxi", | |
| name="fra", | |
| split="train", | |
| trust_remote_code=True | |
| ) | |
| ``` | |
| ## Overview | |
| | | Language | alpha3 | train | test | dev | total | | |
| |---:|:-------------------------|:-----------|--------:|-------:|------:|--------:| | |
| | 0 | Vietnamese | vie | 856 | 111 | 106 | 1073 | | |
| | 1 | French | fra | 851 | 108 | 106 | 1065 | | |
| | 2 | Russian | rus | 822 | 107 | 102 | 1031 | | |
| | 3 | Ukrainian | ukr | 751 | 97 | 89 | 937 | | |
| | 4 | Kannada | kan | 740 | 100 | 89 | 929 | | |
| | 5 | Gujarati | guj | 740 | 100 | 89 | 929 | | |
| | 6 | Yoruba | yor | 739 | 100 | 88 | 927 | | |
| | 7 | Punjabi | pan | 739 | 100 | 88 | 927 | | |
| | 8 | Naga Pidgin | nag | 739 | 100 | 89 | 928 | | |
| | 9 | Luo (Kenya and Tanzania) | luo | 738 | 100 | 88 | 926 | | |
| | 10 | Tamil | tam | 733 | 100 | 89 | 922 | | |
| | 11 | Marathi | mar | 733 | 99 | 87 | 919 | | |
| | 12 | Assamese | asm | 732 | 98 | 88 | 918 | | |
| | 13 | Haryanvi | bgc | 729 | 100 | 87 | 916 | | |
| | 14 | Bhattiyali | bht | 726 | 98 | 88 | 912 | | |
| | 15 | Malayalam | mal | 724 | 100 | 89 | 913 | | |
| | 16 | Ewe | ewe | 724 | 98 | 86 | 908 | | |
| | 17 | Central Kurdish | ckb | 723 | 93 | 82 | 898 | | |
| | 18 | Telugu | tel | 722 | 96 | 85 | 903 | | |
| | 19 | Igbo | ibo | 720 | 96 | 87 | 903 | | |
| | 20 | Pengo | peg | 707 | 94 | 86 | 887 | | |
| | 21 | Ndebele | nde | 699 | 88 | 85 | 872 | | |
| | 22 | Asante Twi | tw-asante | 693 | 92 | 88 | 873 | | |
| | 23 | Akuapem Twi | tw-akuapem | 692 | 91 | 84 | 867 | | |
| | 24 | Urdu | urd | 674 | 95 | 80 | 849 | | |
| | 25 | Nahali | nlx | 672 | 92 | 85 | 849 | | |
| | 26 | English | eng | 569 | 81 | 74 | 724 | | |
| | 27 | Lingala | lin | 560 | 75 | 61 | 696 | |