Gemini 2.5 Flash Lite Reasoning Questions for Model Distillation

A reasoning dataset created by TeichAI using Google's Gemini 2.5 Flash Lite Preview model from September 2025. It contains questions covering Web Development, Logic, Math, Embedded Systems, Web Design, and Python Scripting, intended for distilling the Gemini model into open-source LLMs.

Use Cases

• Fine-tune an open-source language model on logic and math questions to replicate reasoning capabilities.
• Use web development and Python scripting questions to create a specialized coding assistant.
• Distill the knowledge from the Gemini 2.5 Flash Lite Preview model using a mix of human-authored and generated questions on embedded systems and web design topics.

Strengths

• Created using a specific, named AI model (Gemini 2.5 Flash Lite Preview 09-2025).
• Covers six distinct technical topics: Web Development, Logic, Math, Embedded Systems, Web Design, and Python Scripting.
• Dataset was updated on November 12, 2025, indicating recent activity.

Limitations

• The number of rows, columns, and sample data are unknown, making it difficult to assess scale and structure.
• The dataset is synthetic and generated by an AI model, which may introduce patterns or biases from the source model.
• Lacks details on license, file formats, and organization, complicating usage assessment.

Provenance

Source

Hugging Face, uploaded by author TeichAI.

Collection Method

Created using Gemini 2.5 Flash Lite Preview; some questions are from 'reedmayhew' and the rest were generated.

Time Range

Model preview dated September 2025; dataset updated November 2025.

Freshness

Last updated on 2025-11-12.