SmartCode Fable 5 Distill CoT Reasoning 1000x: 1,000 Elite Reasoning Sequences

1,000 elite reasoning sequences distilled from the Fable 5 model. The dataset is authored by mfielding92 and was last updated on July 17, 2026. It is designed to inject frontier intelligence into smaller, high-performance models.

Use Cases

• Fine-tuning small language models for improved reasoning based on the 'elite reasoning sequences' mentioned.
• Performing instruction-tuning using the described 'Adaptive Reasoning' methodology.
• Benchmarking model reasoning capabilities against a distilled 'frontier intelligence' dataset.

Strengths

• Contains 1,000 reasoning sequences, providing a specific scale for training.
• Focuses on 'Adaptive Reasoning' to avoid cramming unusable complexity into small models, as described.

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

huggingface

Collection Method

Distilled from the Fable 5 model.

Freshness

Last updated 2026-07-17 21:13:56; freshness should be verified.