UBW Tapestries: Synthetic Reasoning Traces for Short-Form Conversation

A modified version of the UBW_Tapestries dataset, last updated on 2026-04-11. It was created by the author 'Stabhappy' and includes synthetically generated reasoning traces added to assistant responses. The reasoning traces were generated using the Qwopus-3.5-27B-V3 model to preserve reasoning abilities for short-form conversation.

Use Cases

• Training language models to generate explicit reasoning traces based on the added synthetic reasoning field.
• Fine-tuning conversational AI for short-form dialogue based on the restructured assistant messages.
• Studying the impact of synthetic reasoning data on model performance for basic reasoning tasks.

Strengths

• Includes synthetically generated reasoning traces created with a specific model, Qwopus-3.5-27B-V3.
• Assistant messages are restructured into specific fields: role, reasoning, and raw_response.

Limitations

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

Provenance

Source

Stabhappy (author), derived from SicariusSicariiStuff/UBW_Tapestries on Hugging Face.

Collection Method

Synthetic data generation using Qwopus-3.5-27B-V3 model and restructuring of existing dataset messages.

Freshness

Last updated 2026-04-11 17:01:41; freshness should be verified.