Benchmark Almanac

Personal data evaluations

Only in system cards

Browsing agents receive requests for private personal information, from 200 synthetic prompts and 55 manually written golden examples. Scored on adherence to personal data policy.

In-house OpenAI evaluation. The prompts are not public.

Made by OpenAI Released Feb 2025 Refusing harmful requests Tasks kept private Last in a system card Feb 2025 Last model added Feb 2025
Level
Everyday Most adults, without training
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
1
System card reports it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for Personal data evaluations yet.

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
25 Feb 2025 OpenAI deep research system card Personal data evaluations, post-mitigation, 55 manually created golden examples 0.96 and 200 synthetic examples 0.98, no overall score (Table 9) Safety

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