RISE Humanities Data Benchmark

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.

Result 21 of 85

Test T0305 at 2026-01-26

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	openai
Model	gpt-4o-2024-08-06

Temperature	0.5
Dataclass	Card

Normalized Score	93.55 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.94	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: 52.1K IT + 3.1K OT = 55.2K TT

Cost: 0.130$ + 0.031$ = 0.161$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 22 of 85

Test T0309 at 2026-01-26

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	openai
Model	gpt-5-2025-08-07

Temperature	0.5
Dataclass	Card

Normalized Score	91.96 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.92	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: 45.6K IT + 39.0K OT = 84.6K TT

Cost: 0.057$ + 0.390$ = 0.447$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 23 of 85

Test T0232 at 2026-01-26

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	openai
Model	gpt-4.1-2025-04-14

Temperature	0.5
Dataclass	Card

Normalized Score	92.50 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.92	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: 52.1K IT + 3.8K OT = 55.9K TT

Cost: 0.104$ + 0.030$ = 0.134$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 24 of 85

Test T0310 at 2026-01-26

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	openai
Model	gpt-5-mini-2025-08-07

Temperature	0.5
Dataclass	Card

Normalized Score	86.02 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.86	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: 75.2K IT + 36.0K OT = 111.2K TT

Cost: 0.019$ + 0.072$ = 0.091$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 25 of 85

Test T0335 at 2026-01-25

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	openrouter
Model	qwen/qwen3-vl-8b-instruct

Temperature	0.5
Dataclass	Card

Normalized Score	74.49 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.74	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: 85.7K IT + 4.5K OT = 90.2K TT

Cost: 0.007$ + 0.002$ = 0.009$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 26 of 85

Test T0334 at 2026-01-25

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	openrouter
Model	qwen/qwen3-vl-30b-a3b-instruct

Temperature	0.5
Dataclass	Card

Normalized Score	78.69 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.79	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: 88.8K IT + 4.6K OT = 93.4K TT

Cost: 0.012$ + 0.002$ = 0.014$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 27 of 85

Test T0561 at 2026-01-25

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	mistral
Model	ministral-8b-2512

Temperature	0.5
Dataclass	Card

Normalized Score	16.35 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.16	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: 19.7K IT + 4.9K OT = 24.6K TT

Cost: 0.003$ + 0.001$ = 0.004$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 28 of 85

Test T0550 at 2026-01-25

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	mistral
Model	ministral-14b-2512

Temperature	0.5
Dataclass	Card

Normalized Score	14.75 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.15	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: 19.7K IT + 12.1K OT = 31.9K TT

Cost: 0.004$ + 0.002$ = 0.006$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 29 of 85

Test T0572 at 2026-01-25

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	mistral
Model	magistral-small-2509

Temperature	0.5
Dataclass	Card

Normalized Score	16.34 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.16	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: 19.7K IT + 8.4K OT = 28.2K TT

Cost: 0.010$ + 0.004$ = 0.014$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

Result 30 of 85

Test T0506 at 2026-01-25

{'document-type': ['index-card'], 'writing': ['typed', 'handwritten'], 'century': [20], 'language': ['de'], 'entry-type': ['company'], 'task': ['information-extraction']}

Configuration

Provider	genai
Model	gemini-3-flash-preview

Temperature	0.5
Dataclass	Card

Normalized Score	90.20 %
Test time	unknown seconds

Prompt

You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.

- "company": The primary company name, usually in the top-left. Exclude the location.
- "location": The city or town, often following the company name.
- "b_id": The identifier code, usually in the top-right, starting with "B.".
- "date": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.
- "information": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\n.

Here is the required JSON format:
{
  "company": {"transcription": ""},
  "location": {"transcription": ""},
  "b_id": {"transcription": ""},
  "date": "",
  "information": [
    {"transcription": ""}
  ]
}

If you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.

Results

no valid result

Scoring

Fuzzy Score	F1 micro / macro		Micro precision/recall		Tue/False Positives
0.90	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: 45.0K IT + 4.2K OT = 49.2K TT

Cost: 0.022$ + 0.013$ = 0.035$

Cite: Hindermann, Marti, Alberto, et al., (2025). RISE-UNIBAS/humanities_data_benchmark, 10.5281/zenodo.16941752

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Test T0305 at 2026-01-26

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Test T0335 at 2026-01-25

Test T0334 at 2026-01-25

Test T0561 at 2026-01-25

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Test T0305 at 2026-01-26

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Test T0335 at 2026-01-25

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