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Gallopsled__pwntools-636_92
true
[ { "content": "You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve tasks.\n\n<ROLE>\nYour primary role is to assist users by executing commands, modifying code, and solving technical problems effectively. You should be thorough, methodical, and prioritize quality over speed...
ipython__ipython-374_620
true
[ { "content": "You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve tasks.\n\n<ROLE>\nYour primary role is to assist users by executing commands, modifying code, and solving technical problems effectively. You should be thorough, methodical, and prioritize quality over speed...
Gallopsled__pwntools-636_94
true
[ { "content": "You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve tasks.\n\n<ROLE>\nYour primary role is to assist users by executing commands, modifying code, and solving technical problems effectively. You should be thorough, methodical, and prioritize quality over speed...
Gallopsled__pwntools-636_206
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
Gallopsled__pwntools-636_95
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
ipython__ipython-374_821
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
ipython__ipython-374_309
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
ipython__ipython-374_438
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
Gallopsled__pwntools-636_316
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
ipython__ipython-374_456
true
[{"content":"You are OpenHands agent, a helpful AI assistant that can interact with a computer to so(...TRUNCATED)
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func_localize_claude45_1457i_text4x

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 4 times its own length in Qwen3 tokens (accepted band ±25 %, up to 3 rounds). Of 26194 turns, 15698 were not rephrased (empty prose, or a target outside 4-2000 tokens) and 297 missed the band; both keep their original prose.

Construction (shared by the _text0x/0.5x/2x/4x/8x siblings): think and task_tracker turns are kept verbatim, as are the system prompt, task, tool calls and tool results. For the rephrased siblings the rephraser saw only the current turn (its prose + its tool call) and wrote the four versions in one response as a ladder (0.5x shortens the original, 2x elaborates it, 4x elaborates the 2x, 8x elaborates the 4x), so the four lengths share one meaning. A turn's targets are multiples of its own prose length, so empty turns stay empty. Malformed tool calls (garbled <tool_call> JSON / <invoke>) are kept verbatim as the call part.

value
rows 1457
assistant turns (excluding think/task_tracker) 26194
think/task_tracker turns kept verbatim 4421
prose tokens per turn: mean / median 54.3 / 0
prose tokens / base prose tokens, rephrased turns: mean / median 3.92 / 3.90
turns not rephrased (empty prose or target outside 4-2000 tokens) 15698
turns with empty prose 15681
turns kept original prose (band missed) 297

Built with tools/verbosity_rephrase in the benchmarks repo.

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