RISE Humanities Data Benchmark, 0.5.2-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 129 results, showing page 8 of 13.
Result 71 of 129

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: 7 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
Result 72 of 129

Test T0234 at 2025-10-17

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

Configuration
Provideropenrouter
Modelmeta-llama/llama-4-maverick
  
Temperature0.0
DataclassDocument
  
Normalized Score62.57 %
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: 7 months ago, 2025-10-17. Tokens: 7.7K IT + 8.4K OT = 16.2K TTCost: 0.001$ + 0.005$ = 0.006$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 73 of 129

Test T0237 at 2025-10-17

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

Configuration
Providerscicore
ModelGLM-4.5V-FP8
  
Temperature0.0
DataclassDocument
  
Normalized Score23.19 %
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: 7 months ago, 2025-10-17. Tokens: 4.8K IT + 27.4K OT = 32.2K TTCost: 0.000$ + 0.000$ = 0.000$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 74 of 129

Test T0170 at 2025-10-01

{'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 Score66.14 %
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: 7 months ago, 2025-10-01. Tokens: 9.6K IT + 9.2K OT = 18.8K TTCost: 0.004$ + 0.018$ = 0.022$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 75 of 129

Test T0211 at 2025-10-01

{'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-preview-09-2025
  
Temperature0.0
DataclassDocument
  
Normalized Score57.91 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.58 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: 7 months ago, 2025-10-01. Tokens: 1.7K IT + 11.6K OT = 13.3K TTCost: 0.000$ + 0.005$ = 0.005$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 76 of 129

Test T0187 at 2025-10-01

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

Configuration
Providermistral
Modelmistral-large-latest
  
Temperature0.0
DataclassDocument
  
Normalized Score63.95 %
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: 7 months ago, 2025-10-01. Tokens: 9.6K IT + 10.2K OT = 19.8K TTCost: 0.019$ + 0.061$ = 0.080$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 77 of 129

Test T0141 at 2025-10-01

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

Configuration
Provideropenai
Modelgpt-4.1-nano
  
Temperature0.0
DataclassDocument
  
Normalized Score32.02 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.32 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: 7 months ago, 2025-10-01. Tokens: 11.7K IT + 8.2K OT = 19.9K TTCost: 0.001$ + 0.003$ = 0.004$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 78 of 129

Test T0169 at 2025-10-01

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

Configuration
Providermistral
Modelmistral-medium-2508
  
Temperature0.0
DataclassDocument
  
Normalized Score65.40 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.65 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: 7 months ago, 2025-10-01. Tokens: 9.6K IT + 9.1K OT = 18.6K TTCost: 0.004$ + 0.018$ = 0.022$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 79 of 129

Test T0131 at 2025-10-01

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

Configuration
Provideropenai
Modelgpt-5-nano
  
Temperature0.0
DataclassDocument
  
Normalized Score58.97 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.59 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: 7 months ago, 2025-10-01. Tokens: 8.4K IT + 69.1K OT = 77.5K TTCost: 0.000$ + 0.028$ = 0.028$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 80 of 129

Test T0140 at 2025-10-01

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

Configuration
Provideropenai
Modelgpt-4.1-mini
  
Temperature0.0
DataclassDocument
  
Normalized Score64.83 %
Test timeunknown seconds
Prompt
Results 

no valid result

Scoring
Fuzzy Score F1 micro / macro Micro precision/recall Tue/False Positives
0.65 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: 7 months ago, 2025-10-01. Tokens: 8.8K IT + 10.2K OT = 19.1K TTCost: 0.004$ + 0.016$ = 0.020$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752