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Bengali Numeric Dataset (bn-name-v1)
Dataset Summary
The Bengali Numeric Dataset provides a collection of Bengali number words and arithmetic question–answer pairs.
It is designed for language modeling, tokenization experiments, and fine-tuning models on Bengali numerals.
This dataset includes mappings of integers (0–100, 1000, 1 lakh, 1 crore) into their Bengali text representation and simple arithmetic expressions.
This version (v1) contains train and validation splits (90% train, 10% validation).
Supported Tasks and Leaderboards
- Text-to-Text Training: Learn Bengali number representations.
- Arithmetic QA: Train models to answer addition/subtraction questions in Bengali.
- Tokenizer Training: Improve tokenization coverage for Bengali digits and math-related terms.
Languages
- Bengali (Bangla)
Dataset Structure
Data Fields
- system: Context or system prompt (e.g., date/time, instructions).
- question: User query (e.g., "দুই এর সাথে তিন যোগ করলে কত হবে?").
- answer: Assistant’s reply (e.g., "পাঁচ।").
Splits
- Train: 90% of total dataset
- Validation: 10% of total dataset
Dataset Size & Statistics
- Train split: 2,710,143 samples
- Validation split: 301,127 samples
- Total: 3,011,270 samples
Example
{
"system": "আজকের তারিখ: ২০/০৯/২০২৫\nএখন সময়: সকাল ৯:০০\nআজকের বার: শনিবার",
"question": "তিন এর সাথে সাত যোগ করলে কত হবে?",
"answer": "দশ।",
}
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