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SpeechTaxi
Usage
# pip install datasets pandas soundfile
from datasets import load_dataset
dataset = load_dataset(
"LennartKeller/SpeechTaxi",
name="ukr",
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 |
Citation
@misc{keller2024speechtaximultilingualsemanticspeech,
title={SpeechTaxi: On Multilingual Semantic Speech Classification},
author={Lennart Keller and Goran Glavaš},
year={2024},
eprint={2409.06372},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2409.06372},
}
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