Geminipro3.2 Max Distill God Seed 25K: Synthetic Dataset for LLM Distillation

WithinUsAI's 'Geminipro3.2 Max Distill God Seed 25K' is a dataset of 25,000 examples engineered for distilling large language models. The dataset aims to imbue base models with capabilities described as deep scientific reasoning, long-context understanding, and thoughtful calibration. It was last updated on the Hugging Face platform on April 23, 2026.

Use Cases

• Instruction tuning for scientific reasoning based on the described 'deep scientific reasoning' capability.
• Training models for improved long-context understanding based on the described 'exceptional long-context understanding' feature.
• Aligning model outputs for safety and helpfulness based on the described 'thoughtful calibration' and 'high helpfulness with strong safety'.
• Creating synthetic training data for multimodal reasoning preparation based on the described 'multimodal excellence'.

Strengths

• Contains 25,000 examples, providing a substantial base for training.
• Explicitly engineered for a specific distillation target (Gemini Pro 3.2 Max Distill).
• Last update timestamp (2026-04-23 09:02:18) is provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the actual data format, file structure, and sample content are unavailable for inspection.
• The dataset's origin and creation method are not detailed beyond the author name.

Provenance

Source

WithinUsAI via Hugging Face.

Collection Method

Likely synthetically engineered or curated for model distillation; exact method is unknown.

Time Range

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Freshness

Last updated 2026-04 23 09:02:18; freshness should be verified.

Geography

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