itsarnf/thorium_nuclear_energy_qa_squad

Thorium Nuclear Energy Q&A Dataset ==================================

Dataset Summary --------------- The Thorium Nuclear Energy Q&A Dataset is a manually curated collection of 111 question-answer pairs related to thorium-based nuclear energy. The data is formatted in SQuAD 2.0 JSON style and is designed to support reading comprehension, domain-specific QA research, and educational tools. Topics span technical, historical, economic, environmental, and geopolitical aspects of thorium energy.

Dataset Structure -----------------

• —Format: SQuAD 2.0-compatible JSON
• —Total Questions: 111
• —Context Paragraphs: 17 thematically organized sections
• —Language: English
• —Domain: Nuclear Energy, Thorium Technology

Data Fields ----------- Each entry contains the following fields:

• —id: Unique identifier for each question
• —title: Document title ("Thorium Nuclear Energy Technology")
• —context: Paragraph containing the answer
• —question: The question text
• —answers: Dictionary containing:
• —text: List of answer strings (usually length 1)
• —answer_start: List of character positions where answers begin in the context

Dataset Usage ------------- Example usage in Python: from datasets import load_dataset

Load the dataset

dataset = loaddataset("itsarnf/thoriumnuclearenergyqa_squad")

Access splits

traindata = dataset["train"] validationdata = dataset["validation"]

Example

example = train_data[0] print("Question:", example["question"]) print("Answer:", example["answers"]["text"][0])

Topics Covered --------------

• —Introduction to thorium and fuel cycle fundamentals
• —Safety advantages and reactor comparisons
• —Historical developments and current research
• —Technical design, efficiency, and performance
• —Economic considerations and investment cases
• —Environmental impact and sustainability
• —Regulatory frameworks and energy policy
• —Global collaboration and geopolitical context
• —Industry workforce and infrastructure implications
• —Grid integration and deployment challenges

Use Cases ---------

• —Training and evaluating QA models on technical topics
• —Domain-specific language model fine-tuning
• —Educational tools for nuclear science and engineering
• —Benchmarking extractive QA systems
• —Research on low-resource or specialized QA domains

Data Quality ------------

• —All answers are extractive, directly found in the context
• —Manually curated and verified for clarity and technical accuracy
• —Comprehensive domain coverage with consistent formatting

Citation -------- If you use this dataset, please cite:

@dataset{thoriumnuclearenergyqasquad, title = {Thorium Nuclear Energy Q&A Dataset}, author = {Itsar Fuadi}, year = {2025}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/itsarnf/thoriumnuclearenergyqasquad} }

License ------- CC BY 4.0 You are free to share and adapt the dataset with proper attribution.