RISE Humanities Data Benchmark, 0.5.3-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.

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Your search for Benchmark 'bibliographic_data__true' with Search Hidden 'False' returned 119 results, showing page 1 of 12.
Result 1 of 119

Test T1190 at 2026-07-02

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Provideranthropic
Modelclaude-fable-5
  
Temperature0.0
DataclassDocument
  
Normalized Score71.20 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.71 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 26.6K IT + 9.5K OT = 36.1K TTCost: 0.266$ + 0.476$ = 0.742$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 2 of 119

Test T1177 at 2026-07-01

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Provideranthropic
Modelclaude-sonnet-5
  
Temperature0.0
DataclassDocument
  
Normalized Score0.00 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.00 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 26.9K IT + 10.4K OT = 37.3K TTCost: 0.054$ + 0.104$ = 0.158$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 3 of 119

Test T1164 at 2026-06-29

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Providergenai
Modelgemini-3.1-flash-lite
  
Temperature0.0
DataclassDocument
  
Normalized Score23.14 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.23 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 2.3K IT + 3.7K OT = 6.1K TTCost: 0.001$ + 0.006$ = 0.006$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 4 of 119

Test T1151 at 2026-06-22

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Providerscicore
Modelqwen35-397b-a17b-fp8
  
Temperature0.0
DataclassDocument
  
Normalized Score41.68 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.42 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 13.5K IT + 39.0K OT = 52.5K TTCost: 0.000$ + 0.000$ = 0.000$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 5 of 119

Test T1102 at 2026-06-08

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Providerx-ai
Modelgrok-4.3
  
Temperature0.0
DataclassDocument
  
Normalized Score67.72 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.68 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 16.1K IT + 15.1K OT = 31.2K TTCost: 0.020$ + 0.038$ = 0.058$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 6 of 119

Test T1115 at 2026-06-05

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Provideropenrouter
Modelmeta-llama/llama-4-scout-17b-16e-instruct
  
Temperature0.0
DataclassDocument
  
Normalized Score51.03 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.51 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 12.1K IT + 16.9K OT = 29.0K TTCost: 0.001$ + 0.005$ = 0.006$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 7 of 119

Test T1128 at 2026-06-05

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Provideropenrouter
Modelstepfun/step-3.7-flash-20260528
  
Temperature0.0
DataclassDocument
  
Normalized Score66.65 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.67 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 6.3K IT + 64.9K OT = 71.2K TTCost: 0.001$ + 0.075$ = 0.076$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 8 of 119

Test T0170 at 2026-06-04

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Providermistral
Modelmistral-medium-2505
  
Temperature0.0
DataclassDocument
  
Normalized Score67.32 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.67 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 15.0K IT + 8.9K OT = 23.9K TTCost: 0.006$ + 0.018$ = 0.024$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 9 of 119

Test T0425 at 2026-06-04

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Providermistral
Modelmagistral-medium-2509
  
Temperature0.0
DataclassDocument
  
Normalized Score53.82 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.54 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 15.0K IT + 5.4K OT = 20.4K TTCost: 0.030$ + 0.027$ = 0.057$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 10 of 119

Test T1089 at 2026-06-04

{'document-type': ['book-page'], 'writing': ['printed'], 'century': [20], 'language': ['en'], 'layout': ['list'], 'entry-type': ['bibliographic'], 'task': ['information-extraction']}

Configuration
Providermistral
Modelmistral-medium-3.5
  
Temperature0.0
DataclassDocument
  
Normalized Score64.22 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.64 n/a n/a n/a n/a n/a n/a n/a n/a
      Micro Precision Micro Recall Instances TP FP FN
Costs / Pricing
Pricing Date: n/a, n/a. Tokens: 15.0K IT + 8.6K OT = 23.6K TTCost: 0.023$ + 0.065$ = 0.087$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752