synthetic-code-training/func_localize_claude45_1457i_text300
func_localize_claude45_1457i_text300 Verbosity-ablation variant of synthetic-code-training/func_localize_claude45_1457i: the prose before every tool call is rewritten by nvidia/deepseek-ai/deepseek-v4-flash to about 300 tokens (accepted band 225-375 tokens of the Qwen3 tokenizer, up to 3 rounds; 36 of 26194 turns missed the band and keep their original prose). Construction (shared by all _text* siblings): think and task_tracker turns and their result turns are removed… See the full description on the dataset page: https://huggingface.co/datasets/synthetic-code-training/func_localize_claude45_1457i_text300.
funclocalizeclaude451457itext300
Verbosity-ablation variant of `synthetic-code-training/func_localize_claude45_1457i`: the prose before every tool call is rewritten by nvidia/deepseek-ai/deepseek-v4-flash to about 300 tokens (accepted band 225-375 tokens of the Qwen3 tokenizer, up to 3 rounds; 36 of 26194 turns missed the band and keep their original prose).
Construction (shared by all _text* siblings): think and task_tracker turns and their result turns are removed (trajectories contain only real tool calls); the system prompt, task, tool calls and tool results are byte-identical to the base. The rephraser saw only the current turn (its prose + its tool call); the ~300-token version was written first and condensed to 100/50/20 in the same response so the four lengths share one meaning. Turns with no original prose received prose explaining their tool call. Malformed tool calls (garbled <tool_call> JSON / <invoke>) are kept verbatim as the call part.
Built with tools/verbosity_rephrase in the benchmarks repo.