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 1 of 85

Test T0886 at 2026-03-25

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

Configuration

Provider	alibaba
Model	qwen3.5-flash-2026-02-23

Temperature	0.5
Dataclass	Card

Normalized Score	62.77 %
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
0.63	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: 61.6K IT + 3.3K OT = 65.0K TT

Cost: 0.006$ + 0.001$ = 0.007$

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

Result 2 of 85

Test T0873 at 2026-03-25

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

Configuration

Provider	alibaba
Model	qwen3.5-397b-a17b

Temperature	0.5
Dataclass	Card

Normalized Score	88.34 %
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
0.88	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: 96.5K IT + 5.6K OT = 102.1K TT

Cost: 0.058$ + 0.020$ = 0.078$

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

Result 3 of 85

Test T0834 at 2026-03-25

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

Configuration

Provider	alibaba
Model	qwen3.5-35b-a3b

Temperature	0.5
Dataclass	Card

Normalized Score	90.89 %
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
0.91	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: 96.5K IT + 5.4K OT = 101.9K TT

Cost: 0.024$ + 0.011$ = 0.035$

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

Result 4 of 85

Test T0847 at 2026-03-25

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

Configuration

Provider	alibaba
Model	qwen3.5-27b

Temperature	0.5
Dataclass	Card

Normalized Score	94.54 %
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
0.95	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: 96.5K IT + 5.3K OT = 101.9K TT

Cost: 0.029$ + 0.013$ = 0.042$

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

Result 5 of 85

Test T0860 at 2026-03-25

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

Configuration

Provider	alibaba
Model	qwen3.5-122b-a10b

Temperature	0.5
Dataclass	Card

Normalized Score	91.55 %
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
0.92	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: 96.5K IT + 5.3K OT = 101.8K TT

Cost: 0.039$ + 0.017$ = 0.055$

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

Result 6 of 85

Test T0821 at 2026-03-24

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

Configuration

Provider	alibaba
Model	qwen3.5-plus

Temperature	0.5
Dataclass	Card

Normalized Score	90.28 %
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: 96.5K IT + 5.5K OT = 102.1K TT

Cost: 0.039$ + 0.013$ = 0.052$

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

Result 7 of 85

Test T0725 at 2026-03-23

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

Configuration

Provider	x-ai
Model	grok-4.20-0309-reasoning

Temperature	0.5
Dataclass	Card

Normalized Score	91.64 %
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: 27.1K IT + 4.4K OT = 31.5K TT

Cost: 0.054$ + 0.026$ = 0.081$

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

Result 8 of 85

Test T0700 at 2026-03-23

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

Configuration

Provider	openai
Model	gpt-5.3-codex

Temperature	0.5
Dataclass	Card

Normalized Score	87.33 %
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
0.87	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: 78.9K IT + 3.4K OT = 82.3K TT

Cost: 0.138$ + 0.047$ = 0.185$

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

Result 9 of 85

Test T0700 at 2026-03-17

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

Configuration

Provider	openai
Model	gpt-5.3-codex

Temperature	0.5
Dataclass	Card

Normalized Score	86.59 %
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
0.87	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: 78.9K IT + 3.5K OT = 82.4K TT

Cost: 0.138$ + 0.049$ = 0.187$

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

Result 10 of 85

Test T0676 at 2026-03-16

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

Configuration

Provider	genai
Model	gemini-3.1-flash-lite-preview

Temperature	0.5
Dataclass	Card

Normalized Score	93.98 %
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: 45.0K IT + 5.4K OT = 50.4K TT

Cost: 0.011$ + 0.008$ = 0.019$

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

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Test T0886 at 2026-03-25

Test T0873 at 2026-03-25

Test T0834 at 2026-03-25

Test T0847 at 2026-03-25

Test T0860 at 2026-03-25

Test T0821 at 2026-03-24

Test T0725 at 2026-03-23

Test T0700 at 2026-03-23

Test T0700 at 2026-03-17

Test T0676 at 2026-03-16

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Test T0886 at 2026-03-25

Test T0873 at 2026-03-25

Test T0834 at 2026-03-25

Test T0847 at 2026-03-25

Test T0860 at 2026-03-25

Test T0821 at 2026-03-24

Test T0725 at 2026-03-23

Test T0700 at 2026-03-23

Test T0700 at 2026-03-17

Test T0676 at 2026-03-16

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