Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Vietnamese
Size:
10K - 100K
Tags:
legal
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 | |
``` |