RISE Humanities Data Benchmark, 0.6.0-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.

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Search Results

Your search for Benchmark 'book_advert_xml__true' with Search Hidden 'False' returned 179 results, showing page 15 of 18.
Result 141 of 179

Test T0478 at 2026-01-25

newspaper-page data-correction 18 en

openrouter meta-llama/llama-4-maverick · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Score0.0%

{"description": "Main output structure for Book Advert XML files from Avisblatt.", "properties": {"fixed_xml": {"description": "The corrected XML content as a string.", "title": "Fixed Xml", "type": "string"}, "number_of_corrections": {"description": "The number of corrections made to the original XML.", "title": "Number Of Corrections", "type": "integer"}, "explanation": {"default": null, "description": "Optional explanation of the corrections made.", "title": "Explanation", "type": "string"}}, "required": ["fixed_xml", "number_of_corrections"], "title": "CorrectedAdvert", "type": "object"}

Scoring

Fuzzy score75.9%
Items50

Speed

Model time, all inputs341.4 s
Mean per input6.83 s
Slowest input16.57 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens32.1K
Output tokens26.9K
Total tokens59K
Input cost$0.0048
Output cost$0.0161
Total cost$0.021

Priced from 2026-01-23 · Input $/M $0.15 · Output $/M $0.60

Result 142 of 179

Test T0449 at 2026-01-25

newspaper-page data-correction 18 en

openai gpt-4.1-mini-2025-04-14 · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score100.0%

{"fixed_xml":"<ITEM>37. <BIBL><TITLE>Eine Tossanische Bibel</TITLE></BIBL></ITEM>","number_of_corrections":1,"explanation":"Added missing closing '>' in the <TITLE> tag to correct the XML syntax."}

Scoring

Fuzzy score92.2%
Items50

Speed

Model time, all inputs1560.0 s
Mean per input31.20 s
Slowest input552.47 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens33.9K
Output tokens28K
Total tokens61.9K
Input cost$0.0135
Output cost$0.0448
Total cost$0.0584

Priced from 2026-01-23 · Input $/M $0.40 · Output $/M $1.60

Result 143 of 179

Test T0564 at 2026-01-25

newspaper-page data-correction 18 en

mistral ministral-8b-2512 · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score84.7%

{"fixed_xml":"<ITEM>
    <BIBL>
        <TITLE>Eine Tossanische Bibel</TITLE>
        <NUMBER>37</NUMBER>
    </BIBL>
</ITEM>","number_of_corrections":3,"explanation":"1. Added missing `<NUMBER>` tag to encapsulate the number '37' for proper bibliographic structure.
2. Fixed the formatting to ensure proper indentation and readability.
3. Removed the stray space before the number '37' to adhere to standard XML formatting conventions."}

Scoring

Fuzzy score58.7%
Items50

Speed

Model time, all inputs261.0 s
Mean per input5.22 s
Slowest input18.50 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens40.3K
Output tokens44.9K
Total tokens85.3K
Input cost$0.006
Output cost$0.0067
Total cost$0.0128

Priced from 2026-01-23 · Input $/M $0.15 · Output $/M $0.15

Result 144 of 179

Test T0477 at 2026-01-25

newspaper-page data-correction 18 en

openrouter qwen/qwen3-vl-8b-thinking · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Score0.0%

Scoring

Fuzzy score18.5%
Items50

Speed

Model time, all inputs1827.1 s
Mean per input36.54 s
Slowest input318.26 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens21K
Output tokens114.5K
Total tokens135.5K
Input cost$0.0025
Output cost$0.1563
Total cost$0.1588

Priced from 2026-01-23 · Input $/M $0.18 · Output $/M $2.10

Result 145 of 179

Test T0509 at 2026-01-25

newspaper-page data-correction 18 en

genai gemini-3-flash-preview · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score89.5%

{"fixed_xml":"<ITEM><LABEL>37.</LABEL> <BIBL><TITLE>Eine Tossanische Bibel</TITLE></BIBL></ITEM>","number_of_corrections":2,"explanation":"Fixed the malformed opening tag for TITLE by adding the missing bracket and wrapped the leading item number in a LABEL tag for structural consistency."}

Scoring

Fuzzy score95.5%
Items50

Speed

Model time, all inputs9670.5 s
Mean per input193.41 s
Slowest input301.87 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens31.5K
Output tokens26.4K
Total tokens57.9K
Input cost$0.0158
Output cost$0.0792
Total cost$6.47
Reasoning cost usd$6.38
Total reasoning tokens2.1M

Priced from 2026-01-23 · Input $/M $0.50 · Output $/M $3.00

Result 146 of 179

Test T0479 at 2026-01-25

newspaper-page data-correction 18 en

openrouter qwen/qwen3-vl-30b-a3b-instruct · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score100.0%

{"fixed_xml":"<ITEM>37. <BIBL><TITLE>Eine Tossanische Bibel</TITLE></BIBL></ITEM>","number_of_corrections":2,"explanation":"The original XML was missing a space after the title text and had a missing closing quote for the title. The corrected version adds a space after 'Bibel' and closes the TITLE tag properly."}

Scoring

Fuzzy score96.4%
Items50

Speed

Model time, all inputs358.1 s
Mean per input7.16 s
Slowest input25.58 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens32.3K
Output tokens36.6K
Total tokens68.8K
Input cost$0.0042
Output cost$0.019
Total cost$0.0232

Priced from 2026-01-23 · Input $/M $0.15 · Output $/M $0.60

Result 147 of 179

Test T0553 at 2026-01-25

newspaper-page data-correction 18 en

mistral ministral-14b-2512 · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score97.6%

{"fixed_xml":"<ITEM>
  <BIBL>
    <TITLE>Eine Tossanische Bibel</TITLE>
  </BIBL>
</ITEM>","number_of_corrections":3,"explanation":"1. Added missing closing tag for `<TITLE>` (originally had no closing tag).
2. Fixed malformed XML structure by removing the erroneous `37. ` text outside any tag (likely a line number or artifact).
3. Improved formatting for readability and compliance with XML standards (indentation and line breaks)."}

Scoring

Fuzzy score5.8%
Items50

Speed

Model time, all inputs425.1 s
Mean per input8.50 s
Slowest input23.71 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens40.3K
Output tokens49.3K
Total tokens89.6K
Input cost$0.0081
Output cost$0.0099
Total cost$0.0179

Priced from 2026-01-23 · Input $/M $0.20 · Output $/M $0.20

Result 148 of 179

Test T0450 at 2026-01-25

newspaper-page data-correction 18 en

openai gpt-4.1-nano-2025-04-14 · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score100.0%

{"fixed_xml":"<ITEM>37. <BIBL><TITLE>Eine Tossanische Bibel</TITLE></BIBL></ITEM>","number_of_corrections":1,"explanation":"Added missing '>' after <TITLE> tag to properly close the tag."}

Scoring

Fuzzy score92.6%
Items50

Speed

Model time, all inputs690.6 s
Mean per input13.81 s
Slowest input504.05 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens33.8K
Output tokens57.1K
Total tokens90.9K
Input cost$0.0034
Output cost$0.0228
Total cost$0.0262

Priced from 2026-01-23 · Input $/M $0.10 · Output $/M $0.40

Result 149 of 179

Test T0446 at 2026-01-25

newspaper-page data-correction 18 en

openai gpt-4o-2024-08-06 · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score100.0%

{"fixed_xml":"<ITEM>37. <BIBL><TITLE>Eine Tossanische Bibel</TITLE></BIBL></ITEM>","number_of_corrections":1,"explanation":"Added a closing angle bracket '>' to the <TITLE> tag to properly close it."}

Scoring

Fuzzy score94.3%
Items50

Speed

Model time, all inputs598.5 s
Mean per input11.97 s
Slowest input146.33 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens33.9K
Output tokens26.4K
Total tokens60.3K
Input cost$0.0846
Output cost$0.2643
Total cost$0.3489

Priced from 2026-01-23 · Input $/M $2.50 · Output $/M $10.00

Result 150 of 179

Test T0447 at 2026-01-25

newspaper-page data-correction 18 en

openai gpt-4o-mini-2024-07-18 · temp 0.0 · dataclass CorrectedAdvert

Response vs ground truth

One model response from this run. The per-input comparison needs JavaScript.

Fuzzy score100.0%

{"fixed_xml":"<ITEM>37. <BIBL><TITLE>Eine Tossanische Bibel</TITLE></BIBL></ITEM>","number_of_corrections":1,"explanation":"The opening tag <TITLE> was missing a closing angle bracket, which has been corrected."}

Scoring

Fuzzy score92.2%
Items50

Speed

Model time, all inputs2281.6 s
Mean per input45.63 s
Slowest input718.78 s
Inputs timed50

Summed model time, not elapsed: requests run in parallel and the worker count is not recorded, so the run finished sooner than this.

Costs / Pricing

Input tokens33.9K
Output tokens56.3K
Total tokens90.2K
Input cost$0.0051
Output cost$0.0338
Total cost$0.0389

Priced from 2026-01-23 · Input $/M $0.15 · Output $/M $0.60