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BanglaDeshi Multipurpose Corpus (BMP)

Dataset Description

The BanglaDeshi Multipurpose Corpus (BMP) is a comprehensive, multi-domain Bengali text corpus designed for NLP research and applications. It contains 94+ million rows across 77 CSV files (~16 GB), covering diverse topics from news and entertainment to science, law, and encyclopedic knowledge.

Dataset Summary

Attribute Value
Language Bengali (Bangla) + English secondary
Total Rows 94,215,876
Total Size ~16 GB
Files 77 CSV files
Categories 28 (C01-C62) + C99
License CC BY-SA 4.0
Version 1.0

Categories

News & Media (C01-C04)

  • C01: News articles (National, Local, International, Economy, Politics)
  • C02: Entertainment (Bangla Cinema, Music, Showbiz)
  • C03: Sports (Cricket, Football, General)
  • C04: Opinion & Editorial

Knowledge & Education (C13-C15, C20-C21, C60-C61)

  • C13: Education (Universities, Academic)
  • C15: Science & Technology
  • C20: Knowledge QA (30M+ rows - largest category)
  • C21: NLU Tasks (Natural Language Inference)
  • C60: Encyclopedia (Wikipedia articles)
  • C61: Textbooks (NCTB)

Language Resources (C40-C44)

  • C40: Linguistic Corpus (News)
  • C41: Conversational AI (Empathetic Dialogues)
  • C42: Translation (English-Bengali QA)
  • C43: Lexical Resources (Dictionary + 20,719 Idioms)
  • C44: Reference Data (Wikidata Facts)

Specialized Data (C50-C51)

  • C50: Math Problems (45M+ rows - chain-of-thought)
  • C51: Instruction Following (Alpaca-style)

Domain-Specific (C05-C17, C30, C62)

  • C05: Health & Wellness
  • C06: Literature (Book Reviews)
  • C10: Politics
  • C11: Crime & Law
  • C12: Economy
  • C14: Religion
  • C16: Environment
  • C17: Culture & Society
  • C30: Sentiment Analysis
  • C62: Legal Documents

Supplementary (C99)

  • C99: Scraped data, test enrichment, Wikipedia facts

Key Features

  1. Multi-domain: Covers 28+ categories from news to science
  2. Rich Idiom Database: 20,719 Bengali idioms with frequency, sentiment, and cultural metadata
  3. Massive Math Dataset: 45M+ chain-of-thought math problems
  4. Knowledge QA: 30M+ question-answer pairs
  5. Research-ready: Pre-processed CSV format

Use Cases

  • Hallucination Detection: RAG retrieval for Bengali LLM verification
  • Question Answering: Knowledge-grounded QA systems
  • Math Problem Solving: Bengali math reasoning
  • Text Classification: NLI, sentiment analysis
  • Dictionary/Idiom Lookup: Lexical resources
  • Machine Translation: Bengali-English pairs

Data Format

All files are in CSV format with UTF-8 encoding. Column structures vary by category:

Category Key Columns
C20 (Knowledge QA) context, prompt_bn, response_bn
C43 (Idioms) idiom, figurative_meaning_bn, frequency, sentiment
C50 (Math) question, solution, chain_of_thought
C60 (Encyclopedia) page_title, content

Citation

ibtex @dataset{bmp2024, title={BanglaDeshi Multipurpose Corpus}, version={1.0}, author={Shayon Sarker}, license={CC-BY-SA-4.0}, url={https://huggingface.co/datasets/ShayonSarker/Bangladeshi-Multipurpose-Dataset} }

Contact

For questions about this dataset, please open an issue on the GitHub repository.

Acknowledgments

  • Built for the Bengali LLM Hallucination Detection Challenge
  • Data sourced from news, Wikipedia, dictionaries, and educational materials
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