Dataset · Hugging Face

pooria/benchmark-hundred-step

Name: benchmark-hundred-step
Creator: pooria
License: mit
Keywords: task_categories:text-generation, language:en, license:mit, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, benchmark, llm-evaluation, ai-benchmark, agent-benchmark

Hundred Step Reliability across 25 to 100 dependent steps. What it measures Whether an agent preserves dependencies and recovers correctly across 25, 50, 75, and 100 workflow steps. Category: long-horizon. Status: alpha. How to run $ npx benchmark-hundred-step list $ npx benchmark-hundred-step run --model <model-id> --provider openrouter $ npx benchmark-hundred-step score results.json --provider mock runs the whole benchmark offline with no keys.… See the full description on the dataset page: https://huggingface.co/datasets/pooria/benchmark-hundred-step.

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Author / organization	pooria
License (as declared)	mit
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	16 October 2026
Last updated at source	16 October 2026

benchmarkllm-evaluationai-benchmarkagent-benchmarkmodel-evaluationlong-horizontool-usereliabilityfault-recoverystate-machineopenrouteropenaimcptypescript

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