---
language:
- bn
license: apache-2.0
tags:
- ner
- token-classification
- bangla
- bengali
- named-entity-recognition
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: BanglaTag NER Dataset
size_categories:
- 10K<n<100K
---

# BanglaTag NER Dataset

A Bengali (Bangla) Named Entity Recognition dataset with **22,144 sentences**
labeled using the BIO tagging scheme across 13 entity types.

## Format

Each line in `data.jsonl` is a JSON object:

```json
{"tokens": ["একেএম", "শহীদুল", "হক", "বাংলাদেশে"], "ner_tags": ["B-PER", "I-PER", "I-PER", "B-LOC"]}
```

## Entity Types

| Tag | Description |
|---|---|
| `PER` | Person names |
| `LOC` | Locations, cities, countries |
| `ORG` | Organizations, companies |
| `POL` | Political entities / parties |
| `DATE` | Calendar dates |
| `TIME` | Times of day |
| `EVENT` | Named events |
| `CRIME` | Crime-related entities |
| `TITLE` | Titles, designations |
| `NUM` | Numbers, quantities |
| `SYMBOL` | Symbols, currencies |
| `CONSTITUENCY` | Electoral constituencies |
| `INST` | Institutions |

All tags use **BIO** format: `B-` (beginning), `I-` (inside), `O` (outside/non-entity).

## Dataset Statistics

| Split | Sentences |
|---|---|
| Total | 22,144 |
| Train (85%) | ~18,822 |
| Validation (7.5%) | ~1,661 |
| Test (7.5%) | ~1,661 |

## Label List

```python
[
  "O",
  "B-PER",
  "I-PER",
  "B-LOC",
  "I-LOC",
  "B-ORG",
  "I-ORG",
  "B-POL",
  "I-POL",
  "B-DATE",
  "I-DATE",
  "B-TIME",
  "I-TIME",
  "B-EVENT",
  "I-EVENT",
  "B-CRIME",
  "I-CRIME",
  "B-TITLE",
  "I-TITLE",
  "B-NUM",
  "I-NUM",
  "B-SYMBOL",
  "I-SYMBOL",
  "B-CONSTITUENCY",
  "I-CONSTITUENCY",
  "B-INST",
  "I-INST"
]
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("kaiserahmed/BanglaTag-NER-Dataset")
print(dataset["train"][0])
# {'tokens': [...], 'ner_tags': [...]}
```

Or load manually:

```python
import json

samples = []
with open("data.jsonl", encoding="utf-8") as f:
    for line in f:
        samples.append(json.loads(line))
```

## Associated Model

Fine-tuned NER model trained on this dataset:
👉 [kaiserahmed/BanglaTag](https://huggingface.co/kaiserahmed/BanglaTag)

## Citation

```bibtex
@misc{banglatag-ner-dataset-2026,
  title  = {BanglaTag NER Dataset: Bengali Named Entity Recognition},
  author = {Kaiser Ahmed},
  year   = {2026},
  url    = {https://huggingface.co/datasets/kaiserahmed/BanglaTag-NER-Dataset}
}
```