Agents Last Exam: Ground-Truth Reference Data for AI Agent Benchmark

Agents Last Exam Reference is the ground-truth dataset for scoring the Agents Last Exam (ALE) benchmark. It is published by agents-last-exam as part of a three-dataset family on HuggingFace. The dataset was last updated on June 5, 2026.

Use Cases

• Scoring AI agent performance based on the benchmark's ground-truth outputs.
• Validating automated evaluation pipelines for the Agents Last Exam tasks.
• Comparing model outputs against reference answers for tasks described in the companion metadata dataset.

Strengths

• Serves as the official ground-truth for a published benchmark (ALE).
• Part of a structured family of three companion datasets for comprehensive evaluation.

Limitations

• Access is gated, requiring login, agreement to terms, and manual approval.
• Column-level documentation and sample data are unavailable, hindering preliminary inspection.
• The dataset size, file formats, and license are unspecified.

Provenance

Source

agents-last-exam

Freshness

Last updated 2026-06-05 04:19:33.