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---
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: pos_tags
sequence:
class_label:
names:
'0': ADJ
'1': ADP
'2': ADV
'3': AUX
'4': CCONJ
'5': DET
'6': INTJ
'7': NOUN
'8': NUM
'9': PART
'10': PRON
'11': PROPN
'12': PUNCT
'13': SCONJ
'14': SYM
'15': VERB
'16': X
splits:
- name: latin
num_bytes: 114634
num_examples: 500
- name: cyrillic
num_bytes: 143553
num_examples: 500
download_size: 99179
dataset_size: 258187
configs:
- config_name: default
data_files:
- split: latin
path: data/latin-*
- split: cyrillic
path: data/cyrillic-*
license: apache-2.0
task_categories:
- token-classification
language:
- uz
tags:
- pos
- uz
pretty_name: uzbekpos
size_categories:
- n<1K
---
# Dataset Card for UzbekPos
### Dataset Summary
This dataset is an annotated dataset for POS tagging. It contains 250 sample sentences collected from news outlets and fictional books respectively.
The dataset is presented in both Uzbek scripts i.e., Latin and Cyrillic. The annotation was done manually according to [UPOS tagset](https://universaldependencies.org/u/pos/).
## Dataset Structure
An example of 'latin' looks as follows.
```
{
'id': 0,
'tokens': "['Doimiy', 'g‘ala-g‘ovur', ',', 'to‘lib-toshgan', 'peshtaxtalar', ',', 'mahsulotlarning', 'o‘ziga', 'xos', 'qorishiq', 'isi', '…']",
'pos_tags': '[0, 7, 12, 15, 7, 12, 7, 10, 0, 0, 7, 12]'
}
```
### Data Splits
| name | |
|-----------------|--------:|
| latin | 500 |
| cyrillic | 500 |
### Data Fields
The data fields are the same among all splits:
- `id` (`string`): ID of the example.
- `tokens` (`list` of `string`): Tokens of the example text.
- `pos_tags` (`list` of class labels): POS tags of the tokens, with possible values:
- 0: `ADJ`
- 1: `ADP`
- 2: `ADV`
- 3: `AUX`
- 4: `CCONJ`
- 5: `DET`
- 6: `INTJ`
- 7: `NOUN`
- 8: `NUM`
- 9: `PART`
- 10: `PRON`
- 11: `PROPN`
- 12: `PUNCT`
- 13: `SCONJ`
- 14: `SYM`
- 15: `VERB`
- 16: `X`
### Source Data
* news articles
* fictional books |