WithinUsAI's Kimi 2.6 Thinking Distilled 5K dataset contains 5,000 high-quality, non-duplicate reasoning examples. The examples are designed to mirror the chain-of-thought reasoning traces of the Kimi 2.6 Thinking model. The dataset was last updated on 2026-05 25.
Use Cases
- Fine-tuning language models for chain-of-thought reasoning based on the structured 'reasoning' field.
- Evaluating model reasoning capabilities against high-quality human or AI-generated traces.
- Training instruction-following models using the paired 'instruction' and 'response' fields.
- Studying reasoning patterns within specific domains like algebra, as indicated by the 'domain' field.
Strengths
- Contains 5,000 examples, providing a substantial corpus for training.
- Examples are described as high-quality and have no duplicates.
- Data is structured with explicit reasoning, instruction, and response fields.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is known, but the total data size and file formats are unknown.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- WithinUsAI via Hugging Face.
- Collection Method
- Distilled from the reasoning traces of the Kimi 2.6 Thinking model.
- Time Range
- null
- Freshness
- Last updated 2026-05-25 03:45:32.
- Geography
- null