bala5046/ai-research-problems

AI Research Problems 1M

Summary

This dataset contains 1,000,000 synthetic research-ideation candidates across AI, machine learning, LLMs, RAG, AI agents, MCP, computer vision, robotics, safety, MLOps, and related fields.

Important warning

These records are synthetic combinations for research ideation. They are not claims that the problems are novel, unsolved, or absent from the literature. A researcher must verify novelty using papers, benchmarks, patents where relevant, and GitHub issues before using any item as a research claim.

The dataset is intended for:

• —research-topic retrieval experiments;
• —dataset-scale testing;
• —research assistant prototypes;
• —semantic search and clustering;
• —generation and ranking experiments;
• —testing RAG and agent pipelines.

Fields

• —id: Stable record identifier.
• —domain: Research area.
• —research_problem: Problem statement.
• —research_question: Testable question.
• —motivation: General motivation.
• —proposed_direction: Candidate method direction.
• —evaluation_metrics: Suggested metrics.
• —difficulty: Beginner, Intermediate, or Advanced.
• —record_type: Data provenance label.
• —template_signature: Deterministic signature for traceability.

Data creation

Generated programmatically from transparent templates. No private data or scraped copyrighted text is included.

Recommended next version

For a research-grade release, add verified literature references, benchmark links, evidence snippets, and human-review labels. The current release should be treated as a scale and ideation dataset.

License

CC BY 4.0.