---
license: mit
task_categories:
- token-classification
language:
- fa
pretty_name: PEYMA-ARMAN-Mixed
size_categories:
- 10K<n<100K
---
# Mixed Persian NER Dataset (PEYMA-ARMAN)

This dataset is a combination of [PEYMA](https://arxiv.org/abs/1801.09936) and [ARMAN](https://github.com/HaniehP/PersianNER) Persian NER datasets. It contains the following named entity tags:

- Product (PRO)
- Event (EVE)
- Facility (FAC)
- Location (LOC)
- Person (PER)
- Money (MON)
- Percent (PCT)
- Date (DAT)
- Organization (ORG)
- Time (TIM)

## Dataset Information

The dataset is divided into three splits: train, test, and validation. Below is a summary of the dataset statistics:

| Split      | B_DAT | B_EVE | B_FAC | B_LOC | B_MON | B_ORG | B_PCT | B_PER | B_PRO | B_TIM | I_DAT | I_EVE | I_FAC | I_LOC | I_MON | I_ORG | I_PCT | I_PER | I_PRO | I_TIM |      O | num_rows |
|------------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|----------|
| Train      |  1512 |  1379 |  1334 | 13040 |   446 | 15762 |   266 | 11371 |  1719 |   224 |  1939 |  4600 |  2222 |  4254 |  1314 | 21347 |   308 |  7160 |  1736 |   375 | 747216 |   26417 |
| Test       |   185 |   218 |   124 |  1868 |    53 |  2017 |    27 |  1566 |   281 |    27 |   245 |   697 |   237 |   511 |   142 |  2843 |    31 |  1075 |   345 |    37 |  92214 |    3303 |
| Validation |   161 |   143 |   192 |  1539 |    28 |  2180 |    33 |  1335 |   172 |    30 |   217 |   520 |   349 |   494 |    54 |  2923 |    34 |   813 |   136 |    39 |  96857 |    3302 |

### First schema
```python
DatasetDict({
    train: Dataset({
        features: ['tokens', 'ner_tags', 'ner_tags_names'],
        num_rows: 26417
    })
    test: Dataset({
        features: ['tokens', 'ner_tags', 'ner_tags_names'],
        num_rows: 3303
    })
    validation: Dataset({
        features: ['tokens', 'ner_tags', 'ner_tags_names'],
        num_rows: 3302
    })
})
```

### How to load datset

```python
from datasets import load_dataset
data = load_dataset("AliFartout/PEYMA-ARMAN-Mixed")
```
Feel free to adjust the formatting according to your needs.