Spedoske/escalate-bench

Escalate Bench Dataset Card

Access

• —Dataset landing page: https://huggingface.co/datasets/Spedoske/escalate-bench
• —Archive URL: https://huggingface.co/datasets/Spedoske/escalate-bench/resolve/main/escalate-bench-0.1.0.tar.gz
• —Code URL: https://huggingface.co/datasets/Spedoske/escalate-bench
• —Version: 0.1.0

Contents

• —Total files: 3064
• —Total unpacked size: 2524509235 bytes
• —Benchmark programs: 31
• —Enabled benchmark input sets: 94

• —parsec: 12 programs
• —rodinia: 19 programs

Intended Use

Escalate Bench is intended for evaluating systems that prepare, build, run, and compare single-thread benchmark programs. The Python API creates writable benchmark work directories, materializes benchmark inputs, returns build/run command plans, and compares semantic output files from reference and candidate executions.

Composition

The archive contains benchmark source trees under benchmarks/, benchmark inputs and inputs.json manifests under inputs/, a Python package under src/escalate_bench/, documentation under docs/, and API tests under tests/.

Responsible AI Notes

The dataset is a systems benchmark artifact, not a human-subject dataset. It is biased toward selected Rodinia and PARSEC workloads and should not be interpreted as representative of all CPU or systems workloads. Some inherited upstream media inputs may depict generic people or scenes; review upstream license and attribution requirements before public release.

Blind Review Notes

This file intentionally omits author names, affiliations, emails, funding, and institution-specific paths. Keep hosted repository metadata, commit history, package metadata, and platform account names anonymous for double-blind review.