RISE Humanities Data Benchmark, 0.5.0-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
Show compact results Refine Search New Search
Download JSON Download CSV

Your search for Benchmark 'bibliographic_data__true' with Search Hidden 'False' returned 115 results, showing page 6 of 12.
Result 51 of 115

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
Provideropenai
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 52 of 115

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 53 of 115

Test T0128 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-pro
  
Temperature0.0
DataclassDocument
  
Normalized Score66.80 %
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 + 10.1K OT = 11.8K TTCost: 0.002$ + 0.101$ = 0.103$
Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752
Result 54 of 115

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 55 of 115

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 56 of 115

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 57 of 115

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: 5 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 58 of 115

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: 5 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 59 of 115

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: 5 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 60 of 115

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: 6 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