Datasets:
Size:
10K<n<100K
ArXiv:
File size: 3,044 Bytes
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---
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 | |