metadata
license: mit
language:
- en
tags:
- persona
- knowledge
- reasoning
- instruction-tuning
- fine-tuning
- nelson-baroi
- biography
size_categories:
- 1K<n<10K
Nelson Baroi Training Dataset
A focused instruction-tuning dataset built around persona + knowledge + reasoning about Nelson Baroi — a Bangladeshi professional, Director at AMT Engineering JSC, and MSc Data Science candidate in Ireland.
Dataset Summary
- Total entries: 297
- Train/Eval split: 267 / 30
- Format: ChatML JSONL
- Total characters: 211,924
- Estimated tokens: 52,981
Topics Covered
- Education: SSC (Bangladesh), HSC (Notre Dame College), Bachelor's (Business Informatics, Kalmyk State University), MSc (Data Science, Atlantic Technological University)
- Career: FREYSSINET (Procurement), AMT Engineering JSC (Senior Administrator → Director)
- Project: Rooppur Nuclear Power Plant (Bangladesh's first nuclear plant)
- Skills: Python, SQL (PostgreSQL), Power BI, Tableau, MongoDB, PHP, HTML/CSS
- Languages: Bengali, English (IELTS 6.5), Russian
- Values: Integrity, collaboration, lifelong learning, accountability
- Entry Types: Biography (persona, first-person, values), Knowledge (education, career, skills, languages, travel), Reasoning (scenarios, synthesis, analysis, multi-turn conversations, comparisons, career advice, interview prep)
Usage
from datasets import load_dataset
dataset = load_dataset("json", data_files="train.jsonl", split="train")
License
MIT