RISE Humanities Data Benchmark, 0.5.0-pre1

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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.

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

Test T0285 at 2026-03-31

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 2 of 85

Test T0549 at 2026-03-31

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 3 of 85

Test T0286 at 2026-03-31

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 4 of 85

Test T0872 at 2026-03-25

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 5 of 85

Test T0859 at 2026-03-25

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 6 of 85

Test T0885 at 2026-03-25

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 7 of 85

Test T0833 at 2026-03-25

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 8 of 85

Test T0846 at 2026-03-25

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 9 of 85

Test T0820 at 2026-03-24

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 10 of 85

Test T0699 at 2026-03-23

{'document-type': ['manuscript'], 'writing': ['handwritten'], 'century': [15], 'language': ['de'], 'layout': ['prose'], 'task': ['transcription']}

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752