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@@ -25,11 +25,6 @@ This is a high-quality, executor-validated multi-turn tool-use dataset designed
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  | Validation | All trajectories verified against live tool executors |
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  | Supported benchmarks | BFCL v4 Multi-Turn, τ²-bench |
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- ## Intended Use
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- - Supervised fine-tuning (SFT) of agentic language models for multi-turn tool use
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- - Training models to ground tool arguments in verifiable context rather than hallucinating values
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- - Evaluation of long-horizon tool-calling capabilities
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-
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  ## Reference Training Setup
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  The dataset was originally used to train a 4B parameter model via pure SFT (no RL):
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  - Base model: Qwen3-4B-Instruct
 
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  | Validation | All trajectories verified against live tool executors |
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  | Supported benchmarks | BFCL v4 Multi-Turn, τ²-bench |
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  ## Reference Training Setup
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  The dataset was originally used to train a 4B parameter model via pure SFT (no RL):
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  - Base model: Qwen3-4B-Instruct