abubakar-siddik/bangla-alpaca
Bangla Alpaca Bangla Alpaca is a culturally localized Bangla (বাংলা) adaptation of the Stanford Alpaca dataset. Unlike simple translation, this dataset uses native-first localization to produce natural, conversational Bangla instruction-following data for training high-quality LLMs. 📊 Overview Aspect Description Language Bangla (বাংলা) Format Instruction-Input-Output Samples ~52K License Apache 2.0 📁 Dataset Structure {… See the full description on the dataset page: https://huggingface.co/datasets/abubakar-siddik/bangla-alpaca.
Bangla Alpaca
Bangla Alpaca is a culturally localized Bangla (বাংলা) adaptation of the Stanford Alpaca dataset. Unlike simple translation, this dataset uses native-first localization to produce natural, conversational Bangla instruction-following data for training high-quality LLMs.
📊 Overview
📁 Dataset Structure
{
"instruction": "একটি মেয়েকে নিয়ে একটি গল্প তৈরি করো যে একটি ভিনগ্রহে বেড়াতে যায়।",
"input": "",
"output": "একদা এক সময় হলি নামের এক তরুণী ছিল..."
}- instruction: Task description in Bangla
- input: Optional context (can be empty)
- output: Expected response in Bangla
Usage
from datasets import load_dataset
from transformers import AutoTokenizer, Gemma3ForCausalLM, BitsAndBytesConfig
import torch
# Load dataset
dataset = load_dataset("abubakar-siddik/bangla-alpaca")
# Load model with 4-bit quantization
model_id = "google/gemma-3-1b-it"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = Gemma3ForCausalLM.from_pretrained(
model_id,
quantization_config=BitsAndBytesConfig(load_in_4bit=True),
device_map="auto",
torch_dtype=torch.float16,
)🔖 Citation
@dataset{bangla_alpaca,
title = {Bangla Alpaca: A Bangla Instruction Tuning Dataset},
author = {Siddik, Abu Bakar},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/abubakar-siddik/bangla-alpaca}
}📄 License
Apache 2.0