Request permission to use InferenceX benchmark results in ConfigIQ
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还没有人认领这个 Issue。
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- 难度
- 2/5
- 预计耗时
- 1 小时以内
- 新手友好度
- 18/100
- Issue 类型
- 文档
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 领域
- data, documentation
调研方向
This is a licensing and permission question rather than a code change: the issue asks whether SemiAnalysis approves private storage, public attributed display, and weekly API refresh of benchmark results, and it points to the API docs and Section 7 of the general terms. A newcomer would read the linked terms and API documentation and check for any stated license, attribution or rate-limit rules. Done means a maintainer has answered the permission question in the thread.
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描述
Hi InferenceX team,
The ConfigIQ team is developing a Compare page that shows measured inference performance alongside AISimulators predictions across concurrency levels.
We would like to add InferenceX as a separately labeled measurement source on ConfigIQ’s comparison page. If approved, we propose to:
- Fetch selected published single-turn 8192-input / 1024-output-token results using
/api/v1/availability,/api/v1/views/options, and/api/v1/benchmarks. - Normalize the selected results and store them in a private Hugging Face dataset so ConfigIQ can load configuration options.
- Display selected measurements on ConfigIQ’s public comparison charts alongside our measurements and AISimulators predictions. We would clearly attribute the data to InferenceX/SemiAnalysis and link to the original benchmark runs. The private dataset would not be offered as a public download.
- Refresh the private dataset from your API approximately once a week.
The API documentation describes accessing and exporting data for analysis, but we could not determine whether it permits this specific workflow. Section 7 of SemiAnalysis’s general terms also raises a question about scheduled API collection.
Would SemiAnalysis approve these uses: private storage of a normalized subset, public display of selected measurements with attribution, and a weekly API refresh? Are there license, attribution, or request-frequency requirements we should follow? Thanks.
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