Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Vietnamese
Size:
10K - 100K
Tags:
legal
File size: 915 Bytes
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---
task_categories:
- token-classification
language:
- vi
tags:
- legal
size_categories:
- 10K<n<100K
---
## Vi-Ner
### Dataset Description
ner_tags: a list of classification labels (int). Full tagset with indices:
```python
{'B-DATETIME': 0,
'B-LOCATION': 1,
'B-ORGANIZATION': 2,
'B-PERSON': 3,
'I-DATETIME': 4,
'I-LOCATION': 5,
'I-ORGANIZATION': 6,
'I-PERSON': 7,
'O': 8}
```
### Data Splits
| name |train|validation|test|
|---------|----:|---------:|---:|
| Vi-Ner |19255| 2407|2407|
### Example
An example of 'train' looks as follows.
```
{
{'tokens': ['NSƯT', 'Hồng', 'Liên', '(trái)', 'đến', 'chúc', 'mừng', 'Thu', 'Trang..'],
'ner_tags': ['B-PERSON', 'I-PERSON', 'I-PERSON', 'O', 'O', 'O', 'O', 'B-PERSON', 'I-PERSON'],
'ner_idx': [3, 7, 7, 8, 8, 8, 8, 3, 7]}
}
```
### Usage
```python
import datasets
vi_ner = datasets.load_dataset('Minggz/Vi-Ner')
vi_ner
``` |