README.md

metadata

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:

{"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

[
  "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

from datasets import load_dataset

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

Or load manually:

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

Citation

@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}
}