A fine-tuning starter pack comprising five datasets, each with 5,000 examples, packaged by WithinUsAI. The datasets are designed to train core behaviors for AI assistants, including instruction-following, tool calling, and preference learning. The dataset page was last updated on January 3, 2026.
Use Cases
- Fine-tuning models for multi-turn instruction-following based on the described instruction-following dataset.
- Training models for accurate tool and function calling based on the described tool calling dataset.
- Implementing preference learning algorithms like DPO based on the described chosen/rejected response pairs.
Strengths
- Contains five distinct training datasets, each with 5,000 examples.
- Packaged as an end-to-end starter pack for fine-tuning an assistant's behavioral core.
- Last updated on January 3, 2026, suggesting recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown for the combined pack, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- WithinUsAI
- Freshness
- 2026-01-03 18:10:38