InfoBayAI/SMILES-QA-Dataset

SMILES Chemistry Question Answering Dataset

Overview

The SMILES Chemistry Question Answering Dataset is a chemistry-focused question-answering resource covering Simplified Molecular Input Line Entry System (SMILES) notation, molecular structures, chemical representations, and related chemistry concepts.

The uploaded JSON sample contains multiple-choice questions, answer options, answer indicators, and explanatory text. Questions may include HTML formatting, chemical formulas, mathematical notation, and embedded molecular structure images.

The dataset is intended for applications involving chemistry education, scientific question answering, molecular notation interpretation, and chemistry-focused AI development.

The available dataset formats are JSON, HTML, and PDF. The JSON sample provides a structured representation of questions and answers, while the HTML and PDF files can provide alternative ways to access the content.

Dataset Highlights

Property	Value
Primary Domain	Chemistry
Main Topic	SMILES notation and molecular chemistry
Content Type	Multiple-choice question answering
Question Type	Single-select
Answer Options	Multiple-choice options
Answer Explanations	Included in the inspected JSON sample
Language	English text with chemical notation and formulas
File Formats	JSON, HTML, PDF
Visual Content	Embedded images in some questions
Record Count	Not specified
License	Not specified

Dataset Features

• Multiple-choice chemistry questions
• SMILES notation and molecular representation topics
• Answer options and structured answer indicators
• Explanatory text associated with questions
• HTML-formatted question content
• Chemical formulas and mathematical notation
• Embedded image data in some question statements
• Section and category metadata in the inspected JSON structure
• Support for document-based and structured-data workflows

Subject Coverage

The inspected sample includes questions relating to:

• SMILES syntax and molecular representation
• Ring closures and molecular connectivity
• Molecular structures and chemical compounds
• Stereochemistry and chirality
• Aromaticity and canonical SMILES
• Chemical bonding and formal charges
• Molecular notation interpretation
• Structural and chemical reasoning

This list reflects topics observed in the sample and is not intended to be an exhaustive inventory of the full dataset.

Sample Record

The following example illustrates the question structure using a simplified representation of the fields observed in the uploaded JSON file. It is not a verbatim record from the source file.

{
  "answer_type": "single_select",
  "q_string": "What does the dot (.) indicate in a SMILES string?",
  "q_option": [
    "A ring closure",
    "A disconnected component",
    "A double bond",
    "An aromatic atom"
  ],
  "q_answer": {
    "q_ans": [0, 1, 0, 0],
    "q_exp": "In SMILES notation, a dot separates disconnected molecular components."
  },
  "category": "Others"
}

Schema note: The source uses nested structures, including sections, sec_questions, que, q_option, and q_answer. The simplified example above is for readability; consult the source JSON for the complete structure and actual field paths.

Dataset Structure

The uploaded JSON sample uses a nested structure resembling the following:

SMILES_QA_Dataset/
├── JSON/
│   └── SMILES Q&A Sample.json
├── HTML/
│   └── [HTML dataset files]
└── PDF/
    └── [PDF dataset files]

The JSON structure includes fields such as:

• sections: Groups questions into sections.
• sec_name: Section metadata.
• sec_questions: Questions associated with a section.
• que: Question objects.
• answer_type: Indicates the question format.
• q_string: Question text, potentially including HTML and images.
• q_option: Answer choices.
• q_answer: Answer and explanation information.
• q_ans: Answer indicator array in the inspected sample.
• q_exp: Answer explanation.
• category: Question category.
• lang_supported: Language-related metadata.
• test_name: Test or assessment name.
• origin_source: Source metadata.

This tree and field list should be updated if the complete dataset uses additional files or a different organization.

AI Tasks Supported

Potential applications, subject to data suitability and validation, include:

• Chemistry Question Answering
• Multiple-Choice Question Answering
• SMILES Notation Interpretation
• Molecular Structure Understanding
• Scientific Text Understanding
• Chemistry Knowledge Retrieval
• Retrieval-Augmented Generation (RAG)
• Chemistry-Focused Language Model Evaluation
• Educational AI Assistant Development
• Scientific Information Retrieval

Use for model training or fine-tuning should be evaluated against the actual data quality, licensing terms, and intended application.

Applications

Potential applications include:

• Chemistry learning assistants
• AI-powered chemistry tutoring
• Digital chemistry education platforms
• Chemistry assessment and quiz systems
• Scientific question-answering applications
• Cheminformatics learning tools
• Molecular notation explanation systems
• Chemistry knowledge retrieval
• Research and educational prototypes

Industries

Potentially relevant sectors include:

• Chemical and specialty chemical industries
• Pharmaceutical research and development
• Biotechnology
• Cheminformatics
• Computational chemistry
• Scientific software development
• Higher education and academic research
• Educational technology
• Artificial intelligence and machine learning

These are potential application areas, not claims of existing industry adoption.

Advantages

• Structured multiple-choice question format
• Answer indicators and explanatory text in the inspected sample
• Coverage of SMILES and molecular chemistry concepts
• Chemical notation and formula-based content
• Embedded images in some questions
• Multiple available file formats
• Potential suitability for chemistry education and scientific AI workflows

Dataset Statistics

Metric	Value
Primary Domain	Chemistry
Question Format	Multiple-choice, single-select
Language	English text with chemical notation and formulas
Available Formats	JSON, HTML, PDF
Answer Options	Included in the inspected JSON sample
Explanations	Included in the inspected JSON sample
Embedded Images	Present in some questions
Record Count	Not specified
License	Not specified

Intended Audience

This dataset may be relevant to chemistry educators, students, cheminformatics practitioners, scientific software developers, and AI researchers exploring chemistry-focused question answering.

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.

-Ph: +91 9236398619
-Email: datareq@infobay.ai