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 | |
## Usage | |
```python | |
# 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 | |
```bibtex | |
@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}, | |
} | |
``` |