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 8 of 12.
Result 71 of 119

Test T0195 at 2026-01-24

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

Configuration
Providergenai
Modelgemini-2.5-flash
  
Temperature0.0
DataclassDocument
  
Normalized Score66.51 %
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: 1.7K IT + 14.8K OT = 16.6K TTCost: 0.001$ + 0.037$ = 0.038$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 72 of 119

Test T0510 at 2026-01-24

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

Configuration
Provideranthropic
Modelclaude-opus-4-5-20251101
  
Temperature0.0
DataclassDocument
  
Normalized Score67.41 %
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: 16.2K IT + 7.4K OT = 23.6K TTCost: 0.081$ + 0.186$ = 0.266$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 73 of 119

Test T0203 at 2026-01-24

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

Configuration
Providergenai
Modelgemini-2.5-flash-lite
  
Temperature0.0
DataclassDocument
  
Normalized Score66.95 %
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: 1.7K IT + 9.8K OT = 11.5K TTCost: 0.000$ + 0.004$ = 0.004$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 74 of 119

Test T0253 at 2026-01-24

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

Configuration
Provideropenrouter
Modelqwen/qwen3-vl-30b-a3b-instruct
  
Temperature0.0
DataclassDocument
  
Normalized Score62.59 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.63 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: 15.1K IT + 14.8K OT = 29.9K TTCost: 0.000$ + 0.000$ = 0.001$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 75 of 119

Test T0139 at 2026-01-24

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

Configuration
Provideropenai
Modelgpt-4.1-2025-04-14
  
Temperature0.0
DataclassDocument
  
Normalized Score46.20 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.46 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: 8.9K IT + 7.7K OT = 16.6K TTCost: 0.018$ + 0.062$ = 0.079$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 76 of 119

Test T0532 at 2026-01-24

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

Configuration
Providermistral
Modelmistral-large-2512
  
Temperature0.0
DataclassDocument
  
Normalized Score4.35 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.04 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: 4.9K IT + 2.9K OT = 7.9K TTCost: 0.002$ + 0.004$ = 0.007$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 77 of 119

Test T0435 at 2025-11-25

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

Configuration
Providermistral
Modelmistral-small-2506
  
Temperature0.0
DataclassDocument
  
Normalized Score3.48 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.03 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: 4.9K IT + 1.9K OT = 6.9K TTCost: 0.000$ + 0.001$ = 0.001$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 78 of 119

Test T0403 at 2025-11-25

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

Configuration
Provideropenai
Modelgpt-5.1-2025-11-13
  
Temperature0.0
DataclassDocument
  
Normalized Score52.22 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.52 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: 7.9K IT + 8.3K OT = 16.2K TTCost: 0.010$ + 0.083$ = 0.093$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 79 of 119

Test T0195 at 2025-11-24

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

Configuration
Providergenai
Modelgemini-2.5-flash
  
Temperature0.0
DataclassDocument
  
Normalized Score66.92 %
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: 1.7K IT + 13.2K OT = 15.0K TTCost: 0.001$ + 0.033$ = 0.034$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 80 of 119

Test T0233 at 2025-10-17

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

Configuration
Provideropenrouter
Modelqwen/qwen3-vl-8b-thinking
  
Temperature0.0
DataclassDocument
  
Normalized Score65.66 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.66 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: 8 months ago, 2025-10-17. Tokens: 12.1K IT + 59.3K OT = 71.4K TTCost: 0.002$ + 0.125$ = 0.127$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752