RISE Humanities Data Benchmark, 0.5.5-pre1

Search Test Runs

 

A test run is a single execution of a benchmark test using a defined model configuration.
Each run represents how a particular large language model (LLM) — such as GPT-4, Claude-3, or Gemini — performed on a given task at a specific time, with specific settings.

A test run includes:

  • Prompt and role definition – what the model was asked to do and from what perspective (e.g. “as a historian”).
  • Model configuration – provider, model version, temperature, and other generation parameters.
  • Results – the model’s actual response and its evaluation (scores such as F1 or accuracy).
  • Usage and cost data – token counts and calculated API costs.
  • Metadata – information like the test date, benchmark name, and person who executed it.

Together, test runs make it possible to compare models, providers, and configurations across benchmarks in a transparent and reproducible way.

Search Results

Your search for Benchmark 'magazine_pages__true' with Search Hidden 'False' returned 85 results, showing page 1 of 9.
Result 1 of 85

Test T1642 at 2026-08-18

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Result 2 of 85

Test T1597 at 2026-08-18

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Test T1612 at 2026-08-18

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Result 4 of 85

Test T1627 at 2026-08-18

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Result 5 of 85

Test T1582 at 2026-08-16

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Result 6 of 85

Test T1552 at 2026-08-16

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Result 7 of 85

Test T1567 at 2026-08-15

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Result 8 of 85

Test T1522 at 2026-08-15

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Result 9 of 85

Test T1537 at 2026-08-15

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Result 10 of 85

Test T1492 at 2026-08-15

newspaper-page document-understanding printed latin 20 en prose, columns