General Training El Supremo V2.2: AI-Optimized Text Dataset

DavidAU created an AI-tuned and condensed text dataset in June 2026. The original 'polaris' dataset was generated by GPT 5, and this version was processed and optimized by the Qwen 3.6 35B-A3B model via LMStudio. The dataset size was reduced by approximately 25%, from 5.3 MB to 3.5 MB.

Use Cases

• Training or fine-tuning language models based on AI-optimized text data.
• Studying the impact of answer compression and optimization on dataset quality.
• Benchmarking model performance using datasets processed through different AI systems.

Strengths

• Dataset size was reduced by approximately 25% through AI optimization.
• Each answer was evaluated and adjusted by the Qwen 3.6 35B-A3B model.
• Original prompts were preserved, ensuring consistency in the input structure.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Original 'polaris' dataset generated by GPT 5.

Collection Method

Processed and optimized by Qwen 3.6 35B-A3B model via LMStudio.

Freshness

Last updated 2026-06-15 03:29:57; freshness should be verified.