OpenAI (Internal)

data

closed(internal eval sets for frontier-risk Tracked Categories, never published)

datasheet

no

license

none

access

internal-only(only summarized/redacted results released alongside major deployments)

Fully internal/private eval datasets; only redacted result summaries are published, the underlying example sets are not redistributable.

• https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf recorded 2026-08-13

  Preparedness Framework v2, 22 pages, "Last updated - 15th April, 2025". Tracked Categories are "those capabilities which we track most closely, measuring them during each covered deployment"; section 5.2 says "Such disclosures about results and safeguards may be redacted or summarized where necessary, such as to protect intellectual property or safety". No eval set, license or datasheet is published

Internal-only eval sets used solely by OpenAI for its own deployment decisions; no external users, no downloads, no third-party citation as a runnable standard. No honest external adoption signal exists.

• https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf recorded 2026-08-13

  evaluations are run internally as part of OpenAI's own deployment decisions, with no released artifact and no usage figure of any kind, so there is nothing external to measure

Capability is not a meaningful axis for an eval dataset, so it is left unscored. The published framework describes the process around the eval sets rather than any capability of the sets themselves.

• https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf recorded 2026-08-13

  the document describes thresholds and safeguards for model capability, never a capability of the eval sets themselves, and publishes no feature list or benchmark row for them