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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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