{"item_id": "RAG-pricing_wtp-e-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: 47\n  - Trade-off analysis index: 53\n  - Retention predictor score: 54\n  - Benchmark comparison rating: 59\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 36. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: 47\n  - Trade-off analysis index: 53\n  - Retention predictor score: 54\n  - Benchmark comparison rating: 59\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 66. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: 47\n  - Trade-off analysis index: 53\n  - Retention predictor score: 54\n  - Benchmark comparison rating: 59\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 36.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: 47\n  - Trade-off analysis index: 53\n  - Retention predictor score: 54\n  - Benchmark comparison rating: 59\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 66.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: 47\n  - Trade-off analysis index: 53\n  - Retention predictor score: 54\n  - Benchmark comparison rating: 59\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 32\n  - Van Westendorp index: 35\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 26\n  - Expert panel assessment: 38\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #20. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 32\n  - Van Westendorp index: 35\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 26\n  - Expert panel assessment: 38\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #50. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 32\n  - Van Westendorp index: 35\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 26\n  - Expert panel assessment: 38\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 20.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 32\n  - Van Westendorp index: 35\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 26\n  - Expert panel assessment: 38\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 50.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 32\n  - Van Westendorp index: 35\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 26\n  - Expert panel assessment: 38\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 64\n  - Customer segment B survey score: 35\n  - Focus group rating: 32\n  - Conjoint analysis index: 60\n  - Historical price-sensitivity score: 54\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 37, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 37 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 64\n  - Customer segment B survey score: 35\n  - Focus group rating: 32\n  - Conjoint analysis index: 60\n  - Historical price-sensitivity score: 54\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 67, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 67 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 64\n  - Customer segment B survey score: 35\n  - Focus group rating: 32\n  - Conjoint analysis index: 60\n  - Historical price-sensitivity score: 54\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 37, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 37.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 64\n  - Customer segment B survey score: 35\n  - Focus group rating: 32\n  - Conjoint analysis index: 60\n  - Historical price-sensitivity score: 54\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 67, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 67.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 64\n  - Customer segment B survey score: 35\n  - Focus group rating: 32\n  - Conjoint analysis index: 60\n  - Historical price-sensitivity score: 54\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 64\n  - In-store intercept rating: 84\n  - Trade-off analysis index: 51\n  - Retention predictor score: 57\n  - Benchmark comparison rating: 61\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #46. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 64\n  - In-store intercept rating: 84\n  - Trade-off analysis index: 51\n  - Retention predictor score: 57\n  - Benchmark comparison rating: 61\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 76, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #76. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 64\n  - In-store intercept rating: 84\n  - Trade-off analysis index: 51\n  - Retention predictor score: 57\n  - Benchmark comparison rating: 61\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 46.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 64\n  - In-store intercept rating: 84\n  - Trade-off analysis index: 51\n  - Retention predictor score: 57\n  - Benchmark comparison rating: 61\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 76, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 76.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 64\n  - In-store intercept rating: 84\n  - Trade-off analysis index: 51\n  - Retention predictor score: 57\n  - Benchmark comparison rating: 61\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 35\n  - Van Westendorp index: 27\n  - Gabor-Granger rating: 23\n  - Choice-based conjoint score: 35\n  - Expert panel assessment: 23\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 17, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 17. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 35\n  - Van Westendorp index: 27\n  - Gabor-Granger rating: 23\n  - Choice-based conjoint score: 35\n  - Expert panel assessment: 23\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 47. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 35\n  - Van Westendorp index: 27\n  - Gabor-Granger rating: 23\n  - Choice-based conjoint score: 35\n  - Expert panel assessment: 23\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 17, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 17.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 35\n  - Van Westendorp index: 27\n  - Gabor-Granger rating: 23\n  - Choice-based conjoint score: 35\n  - Expert panel assessment: 23\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 47.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 35\n  - Van Westendorp index: 27\n  - Gabor-Granger rating: 23\n  - Choice-based conjoint score: 35\n  - Expert panel assessment: 23\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 67\n  - Customer segment B survey score: 62\n  - Focus group rating: 70\n  - Conjoint analysis index: 58\n  - Historical price-sensitivity score: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #47. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 67\n  - Customer segment B survey score: 62\n  - Focus group rating: 70\n  - Conjoint analysis index: 58\n  - Historical price-sensitivity score: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #77. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 67\n  - Customer segment B survey score: 62\n  - Focus group rating: 70\n  - Conjoint analysis index: 58\n  - Historical price-sensitivity score: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 47.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 67\n  - Customer segment B survey score: 62\n  - Focus group rating: 70\n  - Conjoint analysis index: 58\n  - Historical price-sensitivity score: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 77.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 67\n  - Customer segment B survey score: 62\n  - Focus group rating: 70\n  - Conjoint analysis index: 58\n  - Historical price-sensitivity score: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: 41\n  - In-store intercept rating: 56\n  - Trade-off analysis index: 35\n  - Retention predictor score: 43\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 35 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: 41\n  - In-store intercept rating: 56\n  - Trade-off analysis index: 35\n  - Retention predictor score: 43\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 65 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: 41\n  - In-store intercept rating: 56\n  - Trade-off analysis index: 35\n  - Retention predictor score: 43\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 35.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: 41\n  - In-store intercept rating: 56\n  - Trade-off analysis index: 35\n  - Retention predictor score: 43\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 65.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: 41\n  - In-store intercept rating: 56\n  - Trade-off analysis index: 35\n  - Retention predictor score: 43\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 73\n  - Van Westendorp index: 63\n  - Gabor-Granger rating: 62\n  - Choice-based conjoint score: 75\n  - Expert panel assessment: 60\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 54, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #54. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 73\n  - Van Westendorp index: 63\n  - Gabor-Granger rating: 62\n  - Choice-based conjoint score: 75\n  - Expert panel assessment: 60\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 84, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #84. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 73\n  - Van Westendorp index: 63\n  - Gabor-Granger rating: 62\n  - Choice-based conjoint score: 75\n  - Expert panel assessment: 60\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 54, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 54.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 73\n  - Van Westendorp index: 63\n  - Gabor-Granger rating: 62\n  - Choice-based conjoint score: 75\n  - Expert panel assessment: 60\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 84, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 84.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 73\n  - Van Westendorp index: 63\n  - Gabor-Granger rating: 62\n  - Choice-based conjoint score: 75\n  - Expert panel assessment: 60\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 35\n  - Customer segment B survey score: 54\n  - Focus group rating: 32\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 45\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 26, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 26. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 35\n  - Customer segment B survey score: 54\n  - Focus group rating: 32\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 45\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 56. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 35\n  - Customer segment B survey score: 54\n  - Focus group rating: 32\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 45\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 26, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 26.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 35\n  - Customer segment B survey score: 54\n  - Focus group rating: 32\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 45\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 56.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 35\n  - Customer segment B survey score: 54\n  - Focus group rating: 32\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 45\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 56\n  - In-store intercept rating: 49\n  - Trade-off analysis index: 47\n  - Retention predictor score: 71\n  - Benchmark comparison rating: 64\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #43. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 56\n  - In-store intercept rating: 49\n  - Trade-off analysis index: 47\n  - Retention predictor score: 71\n  - Benchmark comparison rating: 64\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #73. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 56\n  - In-store intercept rating: 49\n  - Trade-off analysis index: 47\n  - Retention predictor score: 71\n  - Benchmark comparison rating: 64\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 43.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 56\n  - In-store intercept rating: 49\n  - Trade-off analysis index: 47\n  - Retention predictor score: 71\n  - Benchmark comparison rating: 64\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 15, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 73.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 56\n  - In-store intercept rating: 49\n  - Trade-off analysis index: 47\n  - Retention predictor score: 71\n  - Benchmark comparison rating: 64\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 15\n  - Van Westendorp index: 30\n  - Gabor-Granger rating: 35\n  - Choice-based conjoint score: 16\n  - Expert panel assessment: 29\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 5 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 15\n  - Van Westendorp index: 30\n  - Gabor-Granger rating: 35\n  - Choice-based conjoint score: 16\n  - Expert panel assessment: 29\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 55 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 15\n  - Van Westendorp index: 30\n  - Gabor-Granger rating: 35\n  - Choice-based conjoint score: 16\n  - Expert panel assessment: 29\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 5.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 15\n  - Van Westendorp index: 30\n  - Gabor-Granger rating: 35\n  - Choice-based conjoint score: 16\n  - Expert panel assessment: 29\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 55.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 15\n  - Van Westendorp index: 30\n  - Gabor-Granger rating: 35\n  - Choice-based conjoint score: 16\n  - Expert panel assessment: 29\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 62\n  - Customer segment B survey score: 48\n  - Focus group rating: 71\n  - Conjoint analysis index: 62\n  - Historical price-sensitivity score: 64\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #44. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 62\n  - Customer segment B survey score: 48\n  - Focus group rating: 71\n  - Conjoint analysis index: 62\n  - Historical price-sensitivity score: 64\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #94. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 62\n  - Customer segment B survey score: 48\n  - Focus group rating: 71\n  - Conjoint analysis index: 62\n  - Historical price-sensitivity score: 64\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 44.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 62\n  - Customer segment B survey score: 48\n  - Focus group rating: 71\n  - Conjoint analysis index: 62\n  - Historical price-sensitivity score: 64\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 94.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 62\n  - Customer segment B survey score: 48\n  - Focus group rating: 71\n  - Conjoint analysis index: 62\n  - Historical price-sensitivity score: 64\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 81\n  - In-store intercept rating: 60\n  - Trade-off analysis index: 55\n  - Retention predictor score: 61\n  - Benchmark comparison rating: 83\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 44. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 81\n  - In-store intercept rating: 60\n  - Trade-off analysis index: 55\n  - Retention predictor score: 61\n  - Benchmark comparison rating: 83\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 94. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 81\n  - In-store intercept rating: 60\n  - Trade-off analysis index: 55\n  - Retention predictor score: 61\n  - Benchmark comparison rating: 83\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 44.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 81\n  - In-store intercept rating: 60\n  - Trade-off analysis index: 55\n  - Retention predictor score: 61\n  - Benchmark comparison rating: 83\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 94.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 81\n  - In-store intercept rating: 60\n  - Trade-off analysis index: 55\n  - Retention predictor score: 61\n  - Benchmark comparison rating: 83\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: 42\n  - Van Westendorp index: 52\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 53\n  - Expert panel assessment: 44\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #16. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: 42\n  - Van Westendorp index: 52\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 53\n  - Expert panel assessment: 44\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #66. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: 42\n  - Van Westendorp index: 52\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 53\n  - Expert panel assessment: 44\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 16.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: 42\n  - Van Westendorp index: 52\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 53\n  - Expert panel assessment: 44\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 66.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: 42\n  - Van Westendorp index: 52\n  - Gabor-Granger rating: 44\n  - Choice-based conjoint score: 53\n  - Expert panel assessment: 44\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: 77\n  - Customer segment B survey score: 66\n  - Focus group rating: 77\n  - Conjoint analysis index: 64\n  - Historical price-sensitivity score: 71\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 43 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: 77\n  - Customer segment B survey score: 66\n  - Focus group rating: 77\n  - Conjoint analysis index: 64\n  - Historical price-sensitivity score: 71\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 93 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: 77\n  - Customer segment B survey score: 66\n  - Focus group rating: 77\n  - Conjoint analysis index: 64\n  - Historical price-sensitivity score: 71\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 43.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: 77\n  - Customer segment B survey score: 66\n  - Focus group rating: 77\n  - Conjoint analysis index: 64\n  - Historical price-sensitivity score: 71\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 93.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: 77\n  - Customer segment B survey score: 66\n  - Focus group rating: 77\n  - Conjoint analysis index: 64\n  - Historical price-sensitivity score: 71\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 57\n  - In-store intercept rating: 74\n  - Trade-off analysis index: 71\n  - Retention predictor score: 68\n  - Benchmark comparison rating: 59\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 41, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #41. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 57\n  - In-store intercept rating: 74\n  - Trade-off analysis index: 71\n  - Retention predictor score: 68\n  - Benchmark comparison rating: 59\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 91, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #91. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 57\n  - In-store intercept rating: 74\n  - Trade-off analysis index: 71\n  - Retention predictor score: 68\n  - Benchmark comparison rating: 59\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 41, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 41.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 57\n  - In-store intercept rating: 74\n  - Trade-off analysis index: 71\n  - Retention predictor score: 68\n  - Benchmark comparison rating: 59\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 91, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 91.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 57\n  - In-store intercept rating: 74\n  - Trade-off analysis index: 71\n  - Retention predictor score: 68\n  - Benchmark comparison rating: 59\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: 63\n  - Van Westendorp index: 68\n  - Gabor-Granger rating: 83\n  - Choice-based conjoint score: 78\n  - Expert panel assessment: 67\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 45. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: 63\n  - Van Westendorp index: 68\n  - Gabor-Granger rating: 83\n  - Choice-based conjoint score: 78\n  - Expert panel assessment: 67\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 95. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: 63\n  - Van Westendorp index: 68\n  - Gabor-Granger rating: 83\n  - Choice-based conjoint score: 78\n  - Expert panel assessment: 67\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 45.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: 63\n  - Van Westendorp index: 68\n  - Gabor-Granger rating: 83\n  - Choice-based conjoint score: 78\n  - Expert panel assessment: 67\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 95.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: 63\n  - Van Westendorp index: 68\n  - Gabor-Granger rating: 83\n  - Choice-based conjoint score: 78\n  - Expert panel assessment: 67\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: 34\n  - Customer segment B survey score: 49\n  - Focus group rating: 51\n  - Conjoint analysis index: 37\n  - Historical price-sensitivity score: 48\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #22. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: 34\n  - Customer segment B survey score: 49\n  - Focus group rating: 51\n  - Conjoint analysis index: 37\n  - Historical price-sensitivity score: 48\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #72. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: 34\n  - Customer segment B survey score: 49\n  - Focus group rating: 51\n  - Conjoint analysis index: 37\n  - Historical price-sensitivity score: 48\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 22.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: 34\n  - Customer segment B survey score: 49\n  - Focus group rating: 51\n  - Conjoint analysis index: 37\n  - Historical price-sensitivity score: 48\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 72.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: 34\n  - Customer segment B survey score: 49\n  - Focus group rating: 51\n  - Conjoint analysis index: 37\n  - Historical price-sensitivity score: 48\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 38\n  - In-store intercept rating: 27\n  - Trade-off analysis index: 45\n  - Retention predictor score: 34\n  - Benchmark comparison rating: 34\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 12 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 38\n  - In-store intercept rating: 27\n  - Trade-off analysis index: 45\n  - Retention predictor score: 34\n  - Benchmark comparison rating: 34\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 62 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 38\n  - In-store intercept rating: 27\n  - Trade-off analysis index: 45\n  - Retention predictor score: 34\n  - Benchmark comparison rating: 34\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 12.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 38\n  - In-store intercept rating: 27\n  - Trade-off analysis index: 45\n  - Retention predictor score: 34\n  - Benchmark comparison rating: 34\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 62.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 38\n  - In-store intercept rating: 27\n  - Trade-off analysis index: 45\n  - Retention predictor score: 34\n  - Benchmark comparison rating: 34\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: 58\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 60\n  - Choice-based conjoint score: 42\n  - Expert panel assessment: 73\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #36. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: 58\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 60\n  - Choice-based conjoint score: 42\n  - Expert panel assessment: 73\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #86. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: 58\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 60\n  - Choice-based conjoint score: 42\n  - Expert panel assessment: 73\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 36.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: 58\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 60\n  - Choice-based conjoint score: 42\n  - Expert panel assessment: 73\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 86.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: 58\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 60\n  - Choice-based conjoint score: 42\n  - Expert panel assessment: 73\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 32\n  - Customer segment B survey score: 42\n  - Focus group rating: 26\n  - Conjoint analysis index: 31\n  - Historical price-sensitivity score: 42\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 32\n  - Customer segment B survey score: 42\n  - Focus group rating: 26\n  - Conjoint analysis index: 31\n  - Historical price-sensitivity score: 42\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 80. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 32\n  - Customer segment B survey score: 42\n  - Focus group rating: 26\n  - Conjoint analysis index: 31\n  - Historical price-sensitivity score: 42\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 0.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 32\n  - Customer segment B survey score: 42\n  - Focus group rating: 26\n  - Conjoint analysis index: 31\n  - Historical price-sensitivity score: 42\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 80.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 32\n  - Customer segment B survey score: 42\n  - Focus group rating: 26\n  - Conjoint analysis index: 31\n  - Historical price-sensitivity score: 42\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 71\n  - In-store intercept rating: 42\n  - Trade-off analysis index: 45\n  - Retention predictor score: 53\n  - Benchmark comparison rating: 32\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #12. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 71\n  - In-store intercept rating: 42\n  - Trade-off analysis index: 45\n  - Retention predictor score: 53\n  - Benchmark comparison rating: 32\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #92. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 71\n  - In-store intercept rating: 42\n  - Trade-off analysis index: 45\n  - Retention predictor score: 53\n  - Benchmark comparison rating: 32\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 12.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 71\n  - In-store intercept rating: 42\n  - Trade-off analysis index: 45\n  - Retention predictor score: 53\n  - Benchmark comparison rating: 32\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 92.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 71\n  - In-store intercept rating: 42\n  - Trade-off analysis index: 45\n  - Retention predictor score: 53\n  - Benchmark comparison rating: 32\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: 66\n  - Van Westendorp index: 56\n  - Gabor-Granger rating: 61\n  - Choice-based conjoint score: 58\n  - Expert panel assessment: 78\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 25, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 25 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: 66\n  - Van Westendorp index: 56\n  - Gabor-Granger rating: 61\n  - Choice-based conjoint score: 58\n  - Expert panel assessment: 78\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: 66\n  - Van Westendorp index: 56\n  - Gabor-Granger rating: 61\n  - Choice-based conjoint score: 58\n  - Expert panel assessment: 78\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 25, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 25.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: 66\n  - Van Westendorp index: 56\n  - Gabor-Granger rating: 61\n  - Choice-based conjoint score: 58\n  - Expert panel assessment: 78\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 100.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: 66\n  - Van Westendorp index: 56\n  - Gabor-Granger rating: 61\n  - Choice-based conjoint score: 58\n  - Expert panel assessment: 78\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: 68\n  - Customer segment B survey score: 65\n  - Focus group rating: 53\n  - Conjoint analysis index: 45\n  - Historical price-sensitivity score: 62\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #16. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: 68\n  - Customer segment B survey score: 65\n  - Focus group rating: 53\n  - Conjoint analysis index: 45\n  - Historical price-sensitivity score: 62\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #96. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: 68\n  - Customer segment B survey score: 65\n  - Focus group rating: 53\n  - Conjoint analysis index: 45\n  - Historical price-sensitivity score: 62\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 16.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: 68\n  - Customer segment B survey score: 65\n  - Focus group rating: 53\n  - Conjoint analysis index: 45\n  - Historical price-sensitivity score: 62\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 96.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: 68\n  - Customer segment B survey score: 65\n  - Focus group rating: 53\n  - Conjoint analysis index: 45\n  - Historical price-sensitivity score: 62\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 50\n  - In-store intercept rating: 64\n  - Trade-off analysis index: 60\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 54\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 20. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 50\n  - In-store intercept rating: 64\n  - Trade-off analysis index: 60\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 54\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 50\n  - In-store intercept rating: 64\n  - Trade-off analysis index: 60\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 54\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 20.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 50\n  - In-store intercept rating: 64\n  - Trade-off analysis index: 60\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 54\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 100.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 50\n  - In-store intercept rating: 64\n  - Trade-off analysis index: 60\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 54\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 72\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 55\n  - Choice-based conjoint score: 61\n  - Expert panel assessment: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #27. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 72\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 55\n  - Choice-based conjoint score: 61\n  - Expert panel assessment: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #100. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 72\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 55\n  - Choice-based conjoint score: 61\n  - Expert panel assessment: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 27.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 72\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 55\n  - Choice-based conjoint score: 61\n  - Expert panel assessment: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 100.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: 72\n  - Van Westendorp index: 60\n  - Gabor-Granger rating: 55\n  - Choice-based conjoint score: 61\n  - Expert panel assessment: 65\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 45\n  - Focus group rating: 44\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 60\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 9 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 45\n  - Focus group rating: 44\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 60\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 89 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 45\n  - Focus group rating: 44\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 60\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 9.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 45\n  - Focus group rating: 44\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 60\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 89.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 45\n  - Focus group rating: 44\n  - Conjoint analysis index: 46\n  - Historical price-sensitivity score: 60\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 22\n  - In-store intercept rating: 22\n  - Trade-off analysis index: 42\n  - Retention predictor score: 13\n  - Benchmark comparison rating: 32\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 26, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 22\n  - In-store intercept rating: 22\n  - Trade-off analysis index: 42\n  - Retention predictor score: 13\n  - Benchmark comparison rating: 32\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 26, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #72. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 22\n  - In-store intercept rating: 22\n  - Trade-off analysis index: 42\n  - Retention predictor score: 13\n  - Benchmark comparison rating: 32\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 26, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 0.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 22\n  - In-store intercept rating: 22\n  - Trade-off analysis index: 42\n  - Retention predictor score: 13\n  - Benchmark comparison rating: 32\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 26, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 72.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: 22\n  - In-store intercept rating: 22\n  - Trade-off analysis index: 42\n  - Retention predictor score: 13\n  - Benchmark comparison rating: 32\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 26, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 61\n  - Van Westendorp index: 36\n  - Gabor-Granger rating: 48\n  - Choice-based conjoint score: 56\n  - Expert panel assessment: 51\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 13, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 13. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 61\n  - Van Westendorp index: 36\n  - Gabor-Granger rating: 48\n  - Choice-based conjoint score: 56\n  - Expert panel assessment: 51\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 93, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 93. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 61\n  - Van Westendorp index: 36\n  - Gabor-Granger rating: 48\n  - Choice-based conjoint score: 56\n  - Expert panel assessment: 51\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 13, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 13.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 61\n  - Van Westendorp index: 36\n  - Gabor-Granger rating: 48\n  - Choice-based conjoint score: 56\n  - Expert panel assessment: 51\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 93, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 93.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 61\n  - Van Westendorp index: 36\n  - Gabor-Granger rating: 48\n  - Choice-based conjoint score: 56\n  - Expert panel assessment: 51\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 45\n  - Customer segment B survey score: 36\n  - Focus group rating: 41\n  - Conjoint analysis index: 36\n  - Historical price-sensitivity score: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 45\n  - Customer segment B survey score: 36\n  - Focus group rating: 41\n  - Conjoint analysis index: 36\n  - Historical price-sensitivity score: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #80. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 45\n  - Customer segment B survey score: 36\n  - Focus group rating: 41\n  - Conjoint analysis index: 36\n  - Historical price-sensitivity score: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 0.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 45\n  - Customer segment B survey score: 36\n  - Focus group rating: 41\n  - Conjoint analysis index: 36\n  - Historical price-sensitivity score: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-pricing_wtp-e-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 80.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: 45\n  - Customer segment B survey score: 36\n  - Focus group rating: 41\n  - Conjoint analysis index: 36\n  - Historical price-sensitivity score: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 58\n  - Trade-off analysis index: 59\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 33\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 49, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 49 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 58\n  - Trade-off analysis index: 59\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 33\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 79, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 79 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 58\n  - Trade-off analysis index: 59\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 33\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 49, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 49.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 58\n  - Trade-off analysis index: 59\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 33\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 79, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 79.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 58\n  - Trade-off analysis index: 59\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 33\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 41\n  - Gabor-Granger rating: [data not available]\n  - Choice-based conjoint score: 76\n  - Expert panel assessment: 80\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #47. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 41\n  - Gabor-Granger rating: [data not available]\n  - Choice-based conjoint score: 76\n  - Expert panel assessment: 80\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #77. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 41\n  - Gabor-Granger rating: [data not available]\n  - Choice-based conjoint score: 76\n  - Expert panel assessment: 80\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 47.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 41\n  - Gabor-Granger rating: [data not available]\n  - Choice-based conjoint score: 76\n  - Expert panel assessment: 80\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 77.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 41\n  - Gabor-Granger rating: [data not available]\n  - Choice-based conjoint score: 76\n  - Expert panel assessment: 80\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 84\n  - Conjoint analysis index: 27\n  - Historical price-sensitivity score: 52\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 47. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 84\n  - Conjoint analysis index: 27\n  - Historical price-sensitivity score: 52\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 77. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 84\n  - Conjoint analysis index: 27\n  - Historical price-sensitivity score: 52\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 47.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 84\n  - Conjoint analysis index: 27\n  - Historical price-sensitivity score: 52\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 77.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 84\n  - Conjoint analysis index: 27\n  - Historical price-sensitivity score: 52\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 34\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 47\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #29. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 34\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 47\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #59. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 34\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 47\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 29.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 34\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 47\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 59.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: 34\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 62\n  - Benchmark comparison rating: 47\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 32\n  - Gabor-Granger rating: 49\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 89\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 25, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 25 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 32\n  - Gabor-Granger rating: 49\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 89\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 55, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 55 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 32\n  - Gabor-Granger rating: 49\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 89\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 25, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 25.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 32\n  - Gabor-Granger rating: 49\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 89\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 55, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 55.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 32\n  - Gabor-Granger rating: 49\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 89\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 75\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 28\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #16. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 75\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 28\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #46. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 75\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 28\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 16.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 75\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 28\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 46.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 75\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 28\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 35\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 57\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 29. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 35\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 57\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 59. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 35\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 57\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 29.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 35\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 57\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 59.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Online panel score: 46\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 35\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 57\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 53\n  - Choice-based conjoint score: 22\n  - Expert panel assessment: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #27. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 53\n  - Choice-based conjoint score: 22\n  - Expert panel assessment: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #57. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 53\n  - Choice-based conjoint score: 22\n  - Expert panel assessment: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 27.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 53\n  - Choice-based conjoint score: 22\n  - Expert panel assessment: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 57.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 53\n  - Choice-based conjoint score: 22\n  - Expert panel assessment: 43\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 44\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 38\n  - Historical price-sensitivity score: 73\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 47 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 44\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 38\n  - Historical price-sensitivity score: 73\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 77 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 44\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 38\n  - Historical price-sensitivity score: 73\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 47.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 44\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 38\n  - Historical price-sensitivity score: 73\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 77.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 44\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 38\n  - Historical price-sensitivity score: 73\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 69\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 36\n  - Retention predictor score: 78\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #52. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 69\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 36\n  - Retention predictor score: 78\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #82. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 69\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 36\n  - Retention predictor score: 78\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 52.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 69\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 36\n  - Retention predictor score: 78\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 82.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Online panel score: 69\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 36\n  - Retention predictor score: 78\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 38\n  - Gabor-Granger rating: 21\n  - Choice-based conjoint score: 37\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 14. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 38\n  - Gabor-Granger rating: 21\n  - Choice-based conjoint score: 37\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 64. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 38\n  - Gabor-Granger rating: 21\n  - Choice-based conjoint score: 37\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 14.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 38\n  - Gabor-Granger rating: 21\n  - Choice-based conjoint score: 37\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 64.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 38\n  - Gabor-Granger rating: 21\n  - Choice-based conjoint score: 37\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 39\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 82\n  - Historical price-sensitivity score: 9\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #14. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 39\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 82\n  - Historical price-sensitivity score: 9\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #64. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 39\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 82\n  - Historical price-sensitivity score: 9\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 14.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 39\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 82\n  - Historical price-sensitivity score: 9\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 64.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 39\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: 82\n  - Historical price-sensitivity score: 9\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 85\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 12 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 85\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 62 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 85\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 12.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 85\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 62.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Online panel score: 85\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 51\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: 49\n  - Expert panel assessment: 53\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #21. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: 49\n  - Expert panel assessment: 53\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #71. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: 49\n  - Expert panel assessment: 53\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 21.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: 49\n  - Expert panel assessment: 53\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 71.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: 49\n  - Expert panel assessment: 53\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 54\n  - Customer segment B survey score: 57\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 48\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 37, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 37. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 54\n  - Customer segment B survey score: 57\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 48\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 87. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 54\n  - Customer segment B survey score: 57\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 48\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 37, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 37.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 54\n  - Customer segment B survey score: 57\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 48\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 87.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Customer segment A survey score: 54\n  - Customer segment B survey score: 57\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 48\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 44\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 66\n  - Retention predictor score: 69\n  - Benchmark comparison rating: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #45. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 44\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 66\n  - Retention predictor score: 69\n  - Benchmark comparison rating: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #95. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 44\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 66\n  - Retention predictor score: 69\n  - Benchmark comparison rating: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 45.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 44\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 66\n  - Retention predictor score: 69\n  - Benchmark comparison rating: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 95.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Online panel score: 44\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 66\n  - Retention predictor score: 69\n  - Benchmark comparison rating: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 37\n  - Gabor-Granger rating: 66\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 41\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 34, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 34 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 37\n  - Gabor-Granger rating: 66\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 41\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 84, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 84 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 37\n  - Gabor-Granger rating: 66\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 41\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 34, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 34.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 37\n  - Gabor-Granger rating: 66\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 41\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 84, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 84.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 37\n  - Gabor-Granger rating: 66\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 41\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 80\n  - Focus group rating: 42\n  - Conjoint analysis index: 68\n  - Historical price-sensitivity score: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #45. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 80\n  - Focus group rating: 42\n  - Conjoint analysis index: 68\n  - Historical price-sensitivity score: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #95. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 80\n  - Focus group rating: 42\n  - Conjoint analysis index: 68\n  - Historical price-sensitivity score: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 45.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 80\n  - Focus group rating: 42\n  - Conjoint analysis index: 68\n  - Historical price-sensitivity score: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 95.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 80\n  - Focus group rating: 42\n  - Conjoint analysis index: 68\n  - Historical price-sensitivity score: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 61\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 46\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 53\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 36. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 61\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 46\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 53\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 86. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 61\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 46\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 53\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 36.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 61\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 46\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 53\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 86.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Online panel score: 61\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 46\n  - Retention predictor score: [data not available]\n  - Benchmark comparison rating: 53\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 70\n  - Gabor-Granger rating: 30\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 60\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #22. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 70\n  - Gabor-Granger rating: 30\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 60\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #72. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 70\n  - Gabor-Granger rating: 30\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 60\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 22.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 70\n  - Gabor-Granger rating: 30\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 60\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 25, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 72.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Direct elicitation score: [data not available]\n  - Van Westendorp index: 70\n  - Gabor-Granger rating: 30\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: 60\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 61\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 22\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 26\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 3, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 3 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 61\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 22\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 26\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 83, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 83 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 61\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 22\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 26\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 3, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 3.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 61\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 22\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 26\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 83, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 83.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Customer segment A survey score: 61\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 22\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 26\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 48\n  - Trade-off analysis index: 58\n  - Retention predictor score: 39\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #20. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 48\n  - Trade-off analysis index: 58\n  - Retention predictor score: 39\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 48\n  - Trade-off analysis index: 58\n  - Retention predictor score: 39\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 20.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 48\n  - Trade-off analysis index: 58\n  - Retention predictor score: 39\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 100.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 48\n  - Trade-off analysis index: 58\n  - Retention predictor score: 39\n  - Benchmark comparison rating: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 38\n  - Van Westendorp index: 64\n  - Gabor-Granger rating: 32\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 6. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 38\n  - Van Westendorp index: 64\n  - Gabor-Granger rating: 32\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 86. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 38\n  - Van Westendorp index: 64\n  - Gabor-Granger rating: 32\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 6.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 38\n  - Van Westendorp index: 64\n  - Gabor-Granger rating: 32\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 86.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA B2B software vendor is evaluating enterprise pricing sensitivity. The following survey scores were collected.\n\nEvidence:\n  - Direct elicitation score: 38\n  - Van Westendorp index: 64\n  - Gabor-Granger rating: 32\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 57\n  - Focus group rating: 92\n  - Conjoint analysis index: 29\n  - Historical price-sensitivity score: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 24, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #24. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 57\n  - Focus group rating: 92\n  - Conjoint analysis index: 29\n  - Historical price-sensitivity score: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #100. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 57\n  - Focus group rating: 92\n  - Conjoint analysis index: 29\n  - Historical price-sensitivity score: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 24, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 24.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 57\n  - Focus group rating: 92\n  - Conjoint analysis index: 29\n  - Historical price-sensitivity score: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 100.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA streaming service is assessing subscriber tolerance for a price increase. Five research instruments produced the following results.\n\nEvidence:\n  - Customer segment A survey score: [data not available]\n  - Customer segment B survey score: 57\n  - Focus group rating: 92\n  - Conjoint analysis index: 29\n  - Historical price-sensitivity score: [data not available]\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 37\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 36\n  - Benchmark comparison rating: 63\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 5 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 37\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 36\n  - Benchmark comparison rating: 63\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 85 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 37\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 36\n  - Benchmark comparison rating: 63\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 5.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 37\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 36\n  - Benchmark comparison rating: 63\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 85.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA specialty food brand is testing premium pricing for an organic product line. Market research scores are summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: 37\n  - Trade-off analysis index: [data not available]\n  - Retention predictor score: 36\n  - Benchmark comparison rating: 63\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 17\n  - Van Westendorp index: 54\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 17\n  - Van Westendorp index: 54\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #74. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 17\n  - Van Westendorp index: 54\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 0.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 17\n  - Van Westendorp index: 54\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 74.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA product team is evaluating customer willingness-to-pay for a new subscription tier. Five independent market signals have been collected.\n\nEvidence:\n  - Direct elicitation score: 17\n  - Van Westendorp index: 54\n  - Gabor-Granger rating: 26\n  - Choice-based conjoint score: [data not available]\n  - Expert panel assessment: [data not available]\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 55\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 49\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 18\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 28, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 28. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 55\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 49\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 18\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 55\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 49\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 18\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 28, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 28.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 55\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 49\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 18\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPricing Research Summary: This assessment examines customer price sensitivity for a product offering. Historical patterns in this category indicate that willingness-to-pay is influenced by brand positioning, feature completeness, and market maturity. Multiple independent research instruments were used to capture price tolerance signals.\n\n[Document 2]\nA preliminary benchmarking study estimated the WTP index at approximately 100.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nA SaaS company is pricing a premium add-on. The following customer research scores (0–100) indicate price tolerance.\n\nEvidence:\n  - Customer segment A survey score: 55\n  - Customer segment B survey score: [data not available]\n  - Focus group rating: 49\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 18\n\nGiven these signals, what is your best estimate for the WTP index on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: 85\n  - Benchmark comparison rating: 82\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #23. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: 85\n  - Benchmark comparison rating: 82\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nFiling reference: assessment request #100. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: 85\n  - Benchmark comparison rating: 82\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 23.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: 85\n  - Benchmark comparison rating: 82\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCategory Assessment Background: The willingness-to-pay evaluation draws on survey-based instruments and historical analogs. Customer segments in this category tend to show heterogeneous price sensitivity, driven by usage frequency, perceived value, and available alternatives.\n\n[Document 2]\nComparable organizations in the sector reported WTP scores near 100.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA retail brand is testing a new price point. Survey data from five customer panels is summarized below.\n\nEvidence:\n  - Online panel score: [data not available]\n  - In-store intercept rating: [data not available]\n  - Trade-off analysis index: 30\n  - Retention predictor score: 85\n  - Benchmark comparison rating: 82\n\nWhat overall willingness-to-pay index (0–100) do you estimate based on these data points?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 36\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 69\n  - Choice-based conjoint score: 100\n  - Expert panel assessment: [data not available]\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 30 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 36\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 69\n  - Choice-based conjoint score: 100\n  - Expert panel assessment: [data not available]\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 36\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 69\n  - Choice-based conjoint score: 100\n  - Expert panel assessment: [data not available]\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 30.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 36\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 69\n  - Choice-based conjoint score: 100\n  - Expert panel assessment: [data not available]\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nValuation Context: This pricing assessment considers a product offering within a competitive landscape. Price tolerance in comparable markets has been shaped by product lifecycle stage, customer loyalty dynamics, and the availability of substitute offerings.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 100.\n\n[Document 3]\nData Collection Procedures: Research data was collected using parallel independent instruments with standardized administration protocols. Quality controls include respondent screening, consistency checks, and outlier flagging procedures applied uniformly across all data sources.\n\nAn e-commerce platform is assessing willingness-to-pay for expedited shipping. Customer research produced the following indices.\n\nEvidence:\n  - Direct elicitation score: 36\n  - Van Westendorp index: [data not available]\n  - Gabor-Granger rating: 69\n  - Choice-based conjoint score: 100\n  - Expert panel assessment: [data not available]\n\nEstimate the composite WTP score (0–100) from the evidence provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 14\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 56\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 14\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 56\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 79, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nAdministrative note: document batch reference #79. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 14\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 56\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 0.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 14\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 56\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-pricing_wtp-h-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 79, "offset": 40, "difficulty": "hard", "domain": "pricing_wtp", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Context Report: The product category under assessment has seen variable customer reception across comparable markets. Key factors influencing willingness-to-pay include perceived differentiation, switching costs, and competitive intensity. Assessment methodologies typically combine conjoint analysis with direct survey instruments.\n\n[Document 2]\nA recent survey of comparable organizations reported a WTP index of approximately 79.\n\n[Document 3]\nAssessment Methodology Note: The evaluation framework employs standardized rating instruments administered independently across multiple research channels. All scores are normalized to a common scale for cross-source comparability. Assessment protocols follow established market research guidelines.\n\nA luxury hotel chain is determining pricing for a new loyalty program tier. Customer research indices are available.\n\nEvidence:\n  - Customer segment A survey score: 39\n  - Customer segment B survey score: 14\n  - Focus group rating: [data not available]\n  - Conjoint analysis index: [data not available]\n  - Historical price-sensitivity score: 56\n\nBased on the evidence above, estimate the overall willingness-to-pay index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 60\n  - Capacity utilization index: 58\n  - Downtime frequency rating: 54\n  - Output consistency score: 51\n  - Continuous improvement rating: 70\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 40. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 60\n  - Capacity utilization index: 58\n  - Downtime frequency rating: 54\n  - Output consistency score: 51\n  - Continuous improvement rating: 70\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 70. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 60\n  - Capacity utilization index: 58\n  - Downtime frequency rating: 54\n  - Output consistency score: 51\n  - Continuous improvement rating: 70\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 40.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 60\n  - Capacity utilization index: 58\n  - Downtime frequency rating: 54\n  - Output consistency score: 51\n  - Continuous improvement rating: 70\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 70.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 60\n  - Capacity utilization index: 58\n  - Downtime frequency rating: 54\n  - Output consistency score: 51\n  - Continuous improvement rating: 70\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 33\n  - Labor efficiency index: 63\n  - Inventory turnover rating: 55\n  - Safety compliance score: 41\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #35. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 33\n  - Labor efficiency index: 63\n  - Inventory turnover rating: 55\n  - Safety compliance score: 41\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #65. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 33\n  - Labor efficiency index: 63\n  - Inventory turnover rating: 55\n  - Safety compliance score: 41\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 35.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 33\n  - Labor efficiency index: 63\n  - Inventory turnover rating: 55\n  - Safety compliance score: 41\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 65.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 33\n  - Labor efficiency index: 63\n  - Inventory turnover rating: 55\n  - Safety compliance score: 41\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: 31\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 32\n  - Lean assessment rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 22 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: 31\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 32\n  - Lean assessment rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 52 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: 31\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 32\n  - Lean assessment rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 22.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: 31\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 32\n  - Lean assessment rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 52.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: 31\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 32\n  - Lean assessment rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 29\n  - Downtime frequency rating: 37\n  - Output consistency score: 48\n  - Continuous improvement rating: 31\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #20. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 29\n  - Downtime frequency rating: 37\n  - Output consistency score: 48\n  - Continuous improvement rating: 31\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #50. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 29\n  - Downtime frequency rating: 37\n  - Output consistency score: 48\n  - Continuous improvement rating: 31\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 20.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 29\n  - Downtime frequency rating: 37\n  - Output consistency score: 48\n  - Continuous improvement rating: 31\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 50.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 29\n  - Downtime frequency rating: 37\n  - Output consistency score: 48\n  - Continuous improvement rating: 31\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 64\n  - Labor efficiency index: 68\n  - Inventory turnover rating: 62\n  - Safety compliance score: 71\n  - Energy per unit output rating: 58\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 45. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 64\n  - Labor efficiency index: 68\n  - Inventory turnover rating: 62\n  - Safety compliance score: 71\n  - Energy per unit output rating: 58\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 75. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 64\n  - Labor efficiency index: 68\n  - Inventory turnover rating: 62\n  - Safety compliance score: 71\n  - Energy per unit output rating: 58\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 45.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 64\n  - Labor efficiency index: 68\n  - Inventory turnover rating: 62\n  - Safety compliance score: 71\n  - Energy per unit output rating: 58\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 75.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 64\n  - Labor efficiency index: 68\n  - Inventory turnover rating: 62\n  - Safety compliance score: 71\n  - Energy per unit output rating: 58\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 59\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 41\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 58\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #40. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 59\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 41\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 58\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #70. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 59\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 41\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 58\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 40.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 59\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 41\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 58\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 70.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 59\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 41\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 58\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 45\n  - Capacity utilization index: 37\n  - Downtime frequency rating: 30\n  - Output consistency score: 47\n  - Continuous improvement rating: 32\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 29 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 45\n  - Capacity utilization index: 37\n  - Downtime frequency rating: 30\n  - Output consistency score: 47\n  - Continuous improvement rating: 32\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 59 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 45\n  - Capacity utilization index: 37\n  - Downtime frequency rating: 30\n  - Output consistency score: 47\n  - Continuous improvement rating: 32\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 29.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 45\n  - Capacity utilization index: 37\n  - Downtime frequency rating: 30\n  - Output consistency score: 47\n  - Continuous improvement rating: 32\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 59.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 45\n  - Capacity utilization index: 37\n  - Downtime frequency rating: 30\n  - Output consistency score: 47\n  - Continuous improvement rating: 32\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 28\n  - Labor efficiency index: 24\n  - Inventory turnover rating: 31\n  - Safety compliance score: 21\n  - Energy per unit output rating: 21\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #16. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 28\n  - Labor efficiency index: 24\n  - Inventory turnover rating: 31\n  - Safety compliance score: 21\n  - Energy per unit output rating: 21\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #46. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 28\n  - Labor efficiency index: 24\n  - Inventory turnover rating: 31\n  - Safety compliance score: 21\n  - Energy per unit output rating: 21\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 16.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 28\n  - Labor efficiency index: 24\n  - Inventory turnover rating: 31\n  - Safety compliance score: 21\n  - Energy per unit output rating: 21\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 46.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 28\n  - Labor efficiency index: 24\n  - Inventory turnover rating: 31\n  - Safety compliance score: 21\n  - Energy per unit output rating: 21\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 25, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 53\n  - Team productivity index: 75\n  - Cycle-time benchmark rating: 55\n  - Quality-adjusted throughput score: 62\n  - Lean assessment rating: 74\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 55, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 55. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 53\n  - Team productivity index: 75\n  - Cycle-time benchmark rating: 55\n  - Quality-adjusted throughput score: 62\n  - Lean assessment rating: 74\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 85. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 53\n  - Team productivity index: 75\n  - Cycle-time benchmark rating: 55\n  - Quality-adjusted throughput score: 62\n  - Lean assessment rating: 74\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 55, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 55.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 53\n  - Team productivity index: 75\n  - Cycle-time benchmark rating: 55\n  - Quality-adjusted throughput score: 62\n  - Lean assessment rating: 74\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 85.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 53\n  - Team productivity index: 75\n  - Cycle-time benchmark rating: 55\n  - Quality-adjusted throughput score: 62\n  - Lean assessment rating: 74\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 49\n  - Capacity utilization index: 27\n  - Downtime frequency rating: 41\n  - Output consistency score: 66\n  - Continuous improvement rating: 44\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 33, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #33. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 49\n  - Capacity utilization index: 27\n  - Downtime frequency rating: 41\n  - Output consistency score: 66\n  - Continuous improvement rating: 44\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 63, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #63. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 49\n  - Capacity utilization index: 27\n  - Downtime frequency rating: 41\n  - Output consistency score: 66\n  - Continuous improvement rating: 44\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 33, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 33.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 49\n  - Capacity utilization index: 27\n  - Downtime frequency rating: 41\n  - Output consistency score: 66\n  - Continuous improvement rating: 44\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-operations_time-e-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 63, "offset": 15, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 63.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 49\n  - Capacity utilization index: 27\n  - Downtime frequency rating: 41\n  - Output consistency score: 66\n  - Continuous improvement rating: 44\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 62\n  - Labor efficiency index: 64\n  - Inventory turnover rating: 57\n  - Safety compliance score: 74\n  - Energy per unit output rating: 36\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 32 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 62\n  - Labor efficiency index: 64\n  - Inventory turnover rating: 57\n  - Safety compliance score: 74\n  - Energy per unit output rating: 36\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 82 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 62\n  - Labor efficiency index: 64\n  - Inventory turnover rating: 57\n  - Safety compliance score: 74\n  - Energy per unit output rating: 36\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 32.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 62\n  - Labor efficiency index: 64\n  - Inventory turnover rating: 57\n  - Safety compliance score: 74\n  - Energy per unit output rating: 36\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 82.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 62\n  - Labor efficiency index: 64\n  - Inventory turnover rating: 57\n  - Safety compliance score: 74\n  - Energy per unit output rating: 36\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 13\n  - Team productivity index: 18\n  - Cycle-time benchmark rating: 35\n  - Quality-adjusted throughput score: 43\n  - Lean assessment rating: 33\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #5. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 13\n  - Team productivity index: 18\n  - Cycle-time benchmark rating: 35\n  - Quality-adjusted throughput score: 43\n  - Lean assessment rating: 33\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #55. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 13\n  - Team productivity index: 18\n  - Cycle-time benchmark rating: 35\n  - Quality-adjusted throughput score: 43\n  - Lean assessment rating: 33\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 5.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 13\n  - Team productivity index: 18\n  - Cycle-time benchmark rating: 35\n  - Quality-adjusted throughput score: 43\n  - Lean assessment rating: 33\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 55.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 13\n  - Team productivity index: 18\n  - Cycle-time benchmark rating: 35\n  - Quality-adjusted throughput score: 43\n  - Lean assessment rating: 33\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: 36\n  - Output consistency score: 21\n  - Continuous improvement rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 6. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: 36\n  - Output consistency score: 21\n  - Continuous improvement rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 56. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: 36\n  - Output consistency score: 21\n  - Continuous improvement rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 6.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: 36\n  - Output consistency score: 21\n  - Continuous improvement rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 56.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: 36\n  - Output consistency score: 21\n  - Continuous improvement rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 63\n  - Labor efficiency index: 61\n  - Inventory turnover rating: 72\n  - Safety compliance score: 66\n  - Energy per unit output rating: 66\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #44. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 63\n  - Labor efficiency index: 61\n  - Inventory turnover rating: 72\n  - Safety compliance score: 66\n  - Energy per unit output rating: 66\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #94. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 63\n  - Labor efficiency index: 61\n  - Inventory turnover rating: 72\n  - Safety compliance score: 66\n  - Energy per unit output rating: 66\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 44.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 63\n  - Labor efficiency index: 61\n  - Inventory turnover rating: 72\n  - Safety compliance score: 66\n  - Energy per unit output rating: 66\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 94.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 63\n  - Labor efficiency index: 61\n  - Inventory turnover rating: 72\n  - Safety compliance score: 66\n  - Energy per unit output rating: 66\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 43\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 30\n  - Lean assessment rating: 40\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 16 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 43\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 30\n  - Lean assessment rating: 40\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 66 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 43\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 30\n  - Lean assessment rating: 40\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 16.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 43\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 30\n  - Lean assessment rating: 40\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 66.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 43\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 40\n  - Quality-adjusted throughput score: 30\n  - Lean assessment rating: 40\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: 56\n  - Capacity utilization index: 71\n  - Downtime frequency rating: 50\n  - Output consistency score: 58\n  - Continuous improvement rating: 60\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 33, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #33. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: 56\n  - Capacity utilization index: 71\n  - Downtime frequency rating: 50\n  - Output consistency score: 58\n  - Continuous improvement rating: 60\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 83, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #83. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: 56\n  - Capacity utilization index: 71\n  - Downtime frequency rating: 50\n  - Output consistency score: 58\n  - Continuous improvement rating: 60\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 33, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 33.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: 56\n  - Capacity utilization index: 71\n  - Downtime frequency rating: 50\n  - Output consistency score: 58\n  - Continuous improvement rating: 60\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 83, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 83.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: 56\n  - Capacity utilization index: 71\n  - Downtime frequency rating: 50\n  - Output consistency score: 58\n  - Continuous improvement rating: 60\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 76\n  - Labor efficiency index: 74\n  - Inventory turnover rating: 71\n  - Safety compliance score: 73\n  - Energy per unit output rating: 72\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 45. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 76\n  - Labor efficiency index: 74\n  - Inventory turnover rating: 71\n  - Safety compliance score: 73\n  - Energy per unit output rating: 72\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 95. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 76\n  - Labor efficiency index: 74\n  - Inventory turnover rating: 71\n  - Safety compliance score: 73\n  - Energy per unit output rating: 72\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 45.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 76\n  - Labor efficiency index: 74\n  - Inventory turnover rating: 71\n  - Safety compliance score: 73\n  - Energy per unit output rating: 72\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 95.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 76\n  - Labor efficiency index: 74\n  - Inventory turnover rating: 71\n  - Safety compliance score: 73\n  - Energy per unit output rating: 72\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 50\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 30\n  - Quality-adjusted throughput score: 35\n  - Lean assessment rating: 33\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #12. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 50\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 30\n  - Quality-adjusted throughput score: 35\n  - Lean assessment rating: 33\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #62. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 50\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 30\n  - Quality-adjusted throughput score: 35\n  - Lean assessment rating: 33\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 12.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 50\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 30\n  - Quality-adjusted throughput score: 35\n  - Lean assessment rating: 33\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 62.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 50\n  - Team productivity index: 42\n  - Cycle-time benchmark rating: 30\n  - Quality-adjusted throughput score: 35\n  - Lean assessment rating: 33\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: 23\n  - Capacity utilization index: 38\n  - Downtime frequency rating: 26\n  - Output consistency score: 26\n  - Continuous improvement rating: 39\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 5 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: 23\n  - Capacity utilization index: 38\n  - Downtime frequency rating: 26\n  - Output consistency score: 26\n  - Continuous improvement rating: 39\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 55 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: 23\n  - Capacity utilization index: 38\n  - Downtime frequency rating: 26\n  - Output consistency score: 26\n  - Continuous improvement rating: 39\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 5.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: 23\n  - Capacity utilization index: 38\n  - Downtime frequency rating: 26\n  - Output consistency score: 26\n  - Continuous improvement rating: 39\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 55.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: 23\n  - Capacity utilization index: 38\n  - Downtime frequency rating: 26\n  - Output consistency score: 26\n  - Continuous improvement rating: 39\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 47\n  - Inventory turnover rating: 39\n  - Safety compliance score: 36\n  - Energy per unit output rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #21. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 47\n  - Inventory turnover rating: 39\n  - Safety compliance score: 36\n  - Energy per unit output rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #71. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 47\n  - Inventory turnover rating: 39\n  - Safety compliance score: 36\n  - Energy per unit output rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 21.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 47\n  - Inventory turnover rating: 39\n  - Safety compliance score: 36\n  - Energy per unit output rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-operations_time-e-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 71.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 47\n  - Inventory turnover rating: 39\n  - Safety compliance score: 36\n  - Energy per unit output rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: 47\n  - Team productivity index: 53\n  - Cycle-time benchmark rating: 53\n  - Quality-adjusted throughput score: 53\n  - Lean assessment rating: 33\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 9. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: 47\n  - Team productivity index: 53\n  - Cycle-time benchmark rating: 53\n  - Quality-adjusted throughput score: 53\n  - Lean assessment rating: 33\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 89. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: 47\n  - Team productivity index: 53\n  - Cycle-time benchmark rating: 53\n  - Quality-adjusted throughput score: 53\n  - Lean assessment rating: 33\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 9.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: 47\n  - Team productivity index: 53\n  - Cycle-time benchmark rating: 53\n  - Quality-adjusted throughput score: 53\n  - Lean assessment rating: 33\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 89.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: 47\n  - Team productivity index: 53\n  - Cycle-time benchmark rating: 53\n  - Quality-adjusted throughput score: 53\n  - Lean assessment rating: 33\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: 53\n  - Capacity utilization index: 52\n  - Downtime frequency rating: 52\n  - Output consistency score: 52\n  - Continuous improvement rating: 47\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #9. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: 53\n  - Capacity utilization index: 52\n  - Downtime frequency rating: 52\n  - Output consistency score: 52\n  - Continuous improvement rating: 47\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #89. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: 53\n  - Capacity utilization index: 52\n  - Downtime frequency rating: 52\n  - Output consistency score: 52\n  - Continuous improvement rating: 47\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 9.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: 53\n  - Capacity utilization index: 52\n  - Downtime frequency rating: 52\n  - Output consistency score: 52\n  - Continuous improvement rating: 47\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 89.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: 53\n  - Capacity utilization index: 52\n  - Downtime frequency rating: 52\n  - Output consistency score: 52\n  - Continuous improvement rating: 47\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: 79\n  - Labor efficiency index: 53\n  - Inventory turnover rating: 63\n  - Safety compliance score: 57\n  - Energy per unit output rating: 53\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 20 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: 79\n  - Labor efficiency index: 53\n  - Inventory turnover rating: 63\n  - Safety compliance score: 57\n  - Energy per unit output rating: 53\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: 79\n  - Labor efficiency index: 53\n  - Inventory turnover rating: 63\n  - Safety compliance score: 57\n  - Energy per unit output rating: 53\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 20.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: 79\n  - Labor efficiency index: 53\n  - Inventory turnover rating: 63\n  - Safety compliance score: 57\n  - Energy per unit output rating: 53\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: 79\n  - Labor efficiency index: 53\n  - Inventory turnover rating: 63\n  - Safety compliance score: 57\n  - Energy per unit output rating: 53\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 44\n  - Team productivity index: 30\n  - Cycle-time benchmark rating: 31\n  - Quality-adjusted throughput score: 33\n  - Lean assessment rating: 22\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 44\n  - Team productivity index: 30\n  - Cycle-time benchmark rating: 31\n  - Quality-adjusted throughput score: 33\n  - Lean assessment rating: 22\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #77. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 44\n  - Team productivity index: 30\n  - Cycle-time benchmark rating: 31\n  - Quality-adjusted throughput score: 33\n  - Lean assessment rating: 22\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 0.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 44\n  - Team productivity index: 30\n  - Cycle-time benchmark rating: 31\n  - Quality-adjusted throughput score: 33\n  - Lean assessment rating: 22\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 77.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 44\n  - Team productivity index: 30\n  - Cycle-time benchmark rating: 31\n  - Quality-adjusted throughput score: 33\n  - Lean assessment rating: 22\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 40\n  - Capacity utilization index: 26\n  - Downtime frequency rating: 33\n  - Output consistency score: 19\n  - Continuous improvement rating: 27\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 40\n  - Capacity utilization index: 26\n  - Downtime frequency rating: 33\n  - Output consistency score: 19\n  - Continuous improvement rating: 27\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 73. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 40\n  - Capacity utilization index: 26\n  - Downtime frequency rating: 33\n  - Output consistency score: 19\n  - Continuous improvement rating: 27\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 0.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 40\n  - Capacity utilization index: 26\n  - Downtime frequency rating: 33\n  - Output consistency score: 19\n  - Continuous improvement rating: 27\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 73.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 40\n  - Capacity utilization index: 26\n  - Downtime frequency rating: 33\n  - Output consistency score: 19\n  - Continuous improvement rating: 27\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 37\n  - Labor efficiency index: 34\n  - Inventory turnover rating: 17\n  - Safety compliance score: 33\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 37\n  - Labor efficiency index: 34\n  - Inventory turnover rating: 17\n  - Safety compliance score: 33\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #80. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 37\n  - Labor efficiency index: 34\n  - Inventory turnover rating: 17\n  - Safety compliance score: 33\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 0.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 37\n  - Labor efficiency index: 34\n  - Inventory turnover rating: 17\n  - Safety compliance score: 33\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 80.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: 37\n  - Labor efficiency index: 34\n  - Inventory turnover rating: 17\n  - Safety compliance score: 33\n  - Energy per unit output rating: 49\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 38\n  - Team productivity index: 38\n  - Cycle-time benchmark rating: 48\n  - Quality-adjusted throughput score: 24\n  - Lean assessment rating: 24\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 0 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 38\n  - Team productivity index: 38\n  - Cycle-time benchmark rating: 48\n  - Quality-adjusted throughput score: 24\n  - Lean assessment rating: 24\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 73 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 38\n  - Team productivity index: 38\n  - Cycle-time benchmark rating: 48\n  - Quality-adjusted throughput score: 24\n  - Lean assessment rating: 24\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 0.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 38\n  - Team productivity index: 38\n  - Cycle-time benchmark rating: 48\n  - Quality-adjusted throughput score: 24\n  - Lean assessment rating: 24\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 73.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 38\n  - Team productivity index: 38\n  - Cycle-time benchmark rating: 48\n  - Quality-adjusted throughput score: 24\n  - Lean assessment rating: 24\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 51\n  - Capacity utilization index: 48\n  - Downtime frequency rating: 65\n  - Output consistency score: 49\n  - Continuous improvement rating: 63\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #7. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 51\n  - Capacity utilization index: 48\n  - Downtime frequency rating: 65\n  - Output consistency score: 49\n  - Continuous improvement rating: 63\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #87. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 51\n  - Capacity utilization index: 48\n  - Downtime frequency rating: 65\n  - Output consistency score: 49\n  - Continuous improvement rating: 63\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 7.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 51\n  - Capacity utilization index: 48\n  - Downtime frequency rating: 65\n  - Output consistency score: 49\n  - Continuous improvement rating: 63\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 87.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: 51\n  - Capacity utilization index: 48\n  - Downtime frequency rating: 65\n  - Output consistency score: 49\n  - Continuous improvement rating: 63\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 32\n  - Inventory turnover rating: 39\n  - Safety compliance score: 35\n  - Energy per unit output rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 32\n  - Inventory turnover rating: 39\n  - Safety compliance score: 35\n  - Energy per unit output rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 77. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 32\n  - Inventory turnover rating: 39\n  - Safety compliance score: 35\n  - Energy per unit output rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 0.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 32\n  - Inventory turnover rating: 39\n  - Safety compliance score: 35\n  - Energy per unit output rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 77.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: 32\n  - Inventory turnover rating: 39\n  - Safety compliance score: 35\n  - Energy per unit output rating: 30\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 33\n  - Team productivity index: 50\n  - Cycle-time benchmark rating: 46\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 60\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 10, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #10. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 33\n  - Team productivity index: 50\n  - Cycle-time benchmark rating: 46\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 60\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 90, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #90. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 33\n  - Team productivity index: 50\n  - Cycle-time benchmark rating: 46\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 60\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 10, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 10.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 33\n  - Team productivity index: 50\n  - Cycle-time benchmark rating: 46\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 60\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-e-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 90, "offset": 40, "difficulty": "easy", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 90.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 33\n  - Team productivity index: 50\n  - Cycle-time benchmark rating: 46\n  - Quality-adjusted throughput score: 59\n  - Lean assessment rating: 60\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 46\n  - Output consistency score: 49\n  - Continuous improvement rating: 34\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 18 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 46\n  - Output consistency score: 49\n  - Continuous improvement rating: 34\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 48 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 46\n  - Output consistency score: 49\n  - Continuous improvement rating: 34\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 18.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 46\n  - Output consistency score: 49\n  - Continuous improvement rating: 34\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 48.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 46\n  - Output consistency score: 49\n  - Continuous improvement rating: 34\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 87\n  - Labor efficiency index: 80\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 24\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #45. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 87\n  - Labor efficiency index: 80\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 24\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #75. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 87\n  - Labor efficiency index: 80\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 24\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 45.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 87\n  - Labor efficiency index: 80\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 24\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 75.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 87\n  - Labor efficiency index: 80\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 24\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 26\n  - Cycle-time benchmark rating: 14\n  - Quality-adjusted throughput score: 79\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 16. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 26\n  - Cycle-time benchmark rating: 14\n  - Quality-adjusted throughput score: 79\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 46. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 26\n  - Cycle-time benchmark rating: 14\n  - Quality-adjusted throughput score: 79\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 16.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 26\n  - Cycle-time benchmark rating: 14\n  - Quality-adjusted throughput score: 79\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 46.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 26\n  - Cycle-time benchmark rating: 14\n  - Quality-adjusted throughput score: 79\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 71\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 43\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #23. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 71\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 43\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 53, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #53. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 71\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 43\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 23.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 71\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 43\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 53, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 53.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 71\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 43\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 70\n  - Labor efficiency index: 44\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 28\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 36 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 70\n  - Labor efficiency index: 44\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 28\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 66 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 70\n  - Labor efficiency index: 44\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 28\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 36.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 70\n  - Labor efficiency index: 44\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 28\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 66.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 70\n  - Labor efficiency index: 44\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 28\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 51\n  - Cycle-time benchmark rating: 22\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 56\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 53, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #53. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 51\n  - Cycle-time benchmark rating: 22\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 56\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 83, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #83. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 51\n  - Cycle-time benchmark rating: 22\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 56\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 53, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 53.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 51\n  - Cycle-time benchmark rating: 22\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 56\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 83, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 83.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 51\n  - Cycle-time benchmark rating: 22\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 56\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 58\n  - Capacity utilization index: 35\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 65\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 20. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 58\n  - Capacity utilization index: 35\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 65\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 50. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 58\n  - Capacity utilization index: 35\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 65\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 20.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 58\n  - Capacity utilization index: 35\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 65\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 50.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Workflow automation score: 58\n  - Capacity utilization index: 35\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 65\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 0\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 78\n  - Safety compliance score: 6\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #20. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 0\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 78\n  - Safety compliance score: 6\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #50. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 0\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 78\n  - Safety compliance score: 6\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 20.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 0\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 78\n  - Safety compliance score: 6\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 50.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 0\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 78\n  - Safety compliance score: 6\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 28\n  - Team productivity index: 83\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 45\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 22 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 28\n  - Team productivity index: 83\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 45\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 52 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 28\n  - Team productivity index: 83\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 45\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 22.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 28\n  - Team productivity index: 83\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 45\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 52.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Process audit efficiency score: 28\n  - Team productivity index: 83\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 45\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 41\n  - Downtime frequency rating: 62\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 42\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 24, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #24. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 41\n  - Downtime frequency rating: 62\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 42\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 54, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #54. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 41\n  - Downtime frequency rating: 62\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 42\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 24, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 24.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 41\n  - Downtime frequency rating: 62\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 42\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-h-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 54, "offset": 15, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 54.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 41\n  - Downtime frequency rating: 62\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 42\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 32\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 77\n  - Energy per unit output rating: 51\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 23. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 32\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 77\n  - Energy per unit output rating: 51\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 73. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 32\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 77\n  - Energy per unit output rating: 51\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 23.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 32\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 77\n  - Energy per unit output rating: 51\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 73.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Equipment effectiveness score: 32\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 77\n  - Energy per unit output rating: 51\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 49\n  - Lean assessment rating: 41\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 11, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #11. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 49\n  - Lean assessment rating: 41\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 61, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #61. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 49\n  - Lean assessment rating: 41\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 11, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 11.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 49\n  - Lean assessment rating: 41\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 61, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 61.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Process audit efficiency score: 39\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 49\n  - Lean assessment rating: 41\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 56\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 52\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 24, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 24 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 56\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 52\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 74 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 56\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 52\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 24, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 24.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 56\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 52\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 74.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: 56\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 42\n  - Continuous improvement rating: 52\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 48\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 9\n  - Energy per unit output rating: 27\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 11, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #11. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 48\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 9\n  - Energy per unit output rating: 27\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 61, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #61. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 48\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 9\n  - Energy per unit output rating: 27\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 11, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 11.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 48\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 9\n  - Energy per unit output rating: 27\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 61, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 61.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Equipment effectiveness score: 48\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 9\n  - Energy per unit output rating: 27\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 28, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 44\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 46\n  - Lean assessment rating: 63\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 36. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 44\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 46\n  - Lean assessment rating: 63\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 86. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 44\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 46\n  - Lean assessment rating: 63\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 36.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 44\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 46\n  - Lean assessment rating: 63\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 86.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 44\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: 46\n  - Lean assessment rating: 63\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 55\n  - Output consistency score: 42\n  - Continuous improvement rating: 22\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #23. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 55\n  - Output consistency score: 42\n  - Continuous improvement rating: 22\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #73. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 55\n  - Output consistency score: 42\n  - Continuous improvement rating: 22\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 23.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 55\n  - Output consistency score: 42\n  - Continuous improvement rating: 22\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 73.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 55\n  - Output consistency score: 42\n  - Continuous improvement rating: 22\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 70\n  - Inventory turnover rating: 60\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 35 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 70\n  - Inventory turnover rating: 60\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 85 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 70\n  - Inventory turnover rating: 60\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 35.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 70\n  - Inventory turnover rating: 60\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 85.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 70\n  - Inventory turnover rating: 60\n  - Safety compliance score: [data not available]\n  - Energy per unit output rating: 37\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 46\n  - Team productivity index: 76\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #16. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 46\n  - Team productivity index: 76\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #66. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 46\n  - Team productivity index: 76\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 16.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 46\n  - Team productivity index: 76\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 66.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Process audit efficiency score: 46\n  - Team productivity index: 76\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 47\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 61\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 20. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 61\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 70. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 61\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 20.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 61\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 70.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Workflow automation score: 35\n  - Capacity utilization index: 28\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: [data not available]\n  - Continuous improvement rating: 61\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 52\n  - Inventory turnover rating: 47\n  - Safety compliance score: 55\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #19. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 52\n  - Inventory turnover rating: 47\n  - Safety compliance score: 55\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #69. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 52\n  - Inventory turnover rating: 47\n  - Safety compliance score: 55\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 19.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 52\n  - Inventory turnover rating: 47\n  - Safety compliance score: 55\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 69.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 52\n  - Inventory turnover rating: 47\n  - Safety compliance score: 55\n  - Energy per unit output rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 31\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 50\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 16 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 31\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 50\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 96 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 31\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 50\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 16.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 31\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 50\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 96.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Process audit efficiency score: 31\n  - Team productivity index: [data not available]\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 50\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 35\n  - Output consistency score: 30\n  - Continuous improvement rating: 45\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #12. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 35\n  - Output consistency score: 30\n  - Continuous improvement rating: 45\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #92. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 35\n  - Output consistency score: 30\n  - Continuous improvement rating: 45\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 12.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 35\n  - Output consistency score: 30\n  - Continuous improvement rating: 45\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 92.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Workflow automation score: [data not available]\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: 35\n  - Output consistency score: 30\n  - Continuous improvement rating: 45\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 82\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 72\n  - Energy per unit output rating: 35\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 29. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 82\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 72\n  - Energy per unit output rating: 35\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 82\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 72\n  - Energy per unit output rating: 35\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 29.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 82\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 72\n  - Energy per unit output rating: 35\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA logistics hub is evaluating warehouse operations efficiency. The following ratings (0–100) were collected from independent auditors.\n\nEvidence:\n  - Equipment effectiveness score: [data not available]\n  - Labor efficiency index: 82\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 72\n  - Energy per unit output rating: 35\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 59\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: 13\n  - Lean assessment rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #6. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 59\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: 13\n  - Lean assessment rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #86. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 59\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: 13\n  - Lean assessment rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 6.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 59\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: 13\n  - Lean assessment rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 86.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA hospital is reviewing surgical suite turnaround efficiency. Five departmental assessments are summarized below.\n\nEvidence:\n  - Process audit efficiency score: [data not available]\n  - Team productivity index: 59\n  - Cycle-time benchmark rating: 38\n  - Quality-adjusted throughput score: 13\n  - Lean assessment rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 65\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 62\n  - Continuous improvement rating: 46\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 7 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 65\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 62\n  - Continuous improvement rating: 46\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 87 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 65\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 62\n  - Continuous improvement rating: 46\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 7.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 65\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 62\n  - Continuous improvement rating: 46\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 87.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA call center is estimating its service efficiency index. Independent evaluations produced the following scores.\n\nEvidence:\n  - Workflow automation score: 65\n  - Capacity utilization index: [data not available]\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 62\n  - Continuous improvement rating: 46\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 71\n  - Safety compliance score: 45\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #14. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 71\n  - Safety compliance score: 45\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #94. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 71\n  - Safety compliance score: 45\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 14.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 71\n  - Safety compliance score: 45\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 94.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nA semiconductor fabrication plant is assessing production line efficiency. Five audit results are summarized below.\n\nEvidence:\n  - Equipment effectiveness score: 40\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: 71\n  - Safety compliance score: 45\n  - Energy per unit output rating: [data not available]\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 27\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 49\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 21. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 27\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 49\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 27\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 49\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 21.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 27\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 49\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nProcess Efficiency Context: This assessment evaluates operational performance using standardized rating instruments. Comparable operations in this sector show wide variance depending on lean adoption, automation levels, and maintenance scheduling practices.\n\n[Document 2]\nA preliminary benchmarking study estimated the efficiency index at approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA food processing facility is evaluating throughput and quality efficiency. Independent assessors provided the following ratings.\n\nEvidence:\n  - Process audit efficiency score: 27\n  - Team productivity index: 54\n  - Cycle-time benchmark rating: 49\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: [data not available]\n\nGiven the ratings above, what is your best estimate for the efficiency score on a 0–100 scale?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 78\n  - Capacity utilization index: 51\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 55\n  - Continuous improvement rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #16. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 78\n  - Capacity utilization index: 51\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 55\n  - Continuous improvement rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nFiling reference: assessment request #96. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 78\n  - Capacity utilization index: 51\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 55\n  - Continuous improvement rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 16.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 78\n  - Capacity utilization index: 51\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 55\n  - Continuous improvement rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperational Review Summary: The efficiency evaluation considers multiple performance dimensions. Industry experience suggests that efficiency scores are driven by capacity utilization, process standardization, and the effectiveness of continuous improvement programs.\n\n[Document 2]\nComparable organizations in the sector reported efficiency scores near 96.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn automobile assembly plant is reviewing its lean operations performance. The following scores were collected.\n\nEvidence:\n  - Workflow automation score: 78\n  - Capacity utilization index: 51\n  - Downtime frequency rating: [data not available]\n  - Output consistency score: 55\n  - Continuous improvement rating: [data not available]\n\nEstimate the composite operational efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 60\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 12\n  - Energy per unit output rating: 48\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 26, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 26 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 60\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 12\n  - Energy per unit output rating: 48\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 60\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 12\n  - Energy per unit output rating: 48\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 26, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 26.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 60\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 12\n  - Energy per unit output rating: 48\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nFacility Assessment Context: This operational efficiency review draws on independent audit data. Performance in comparable facilities varies based on technology adoption, staffing models, and the maturity of quality management systems.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed parallel independent audits with standardized instruments. Data quality assurance includes inter-rater reliability checks, calibration against reference standards, and systematic documentation of assessment conditions.\n\nA distribution center is measuring order fulfillment efficiency. Five performance evaluations are available.\n\nEvidence:\n  - Equipment effectiveness score: 60\n  - Labor efficiency index: [data not available]\n  - Inventory turnover rating: [data not available]\n  - Safety compliance score: 12\n  - Energy per unit output rating: 48\n\nWhat overall efficiency score (0–100) do you estimate based on these evaluations?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 64\n  - Team productivity index: 35\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 54\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #19. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 64\n  - Team productivity index: 35\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 54\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nAdministrative note: document batch reference #99. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 64\n  - Team productivity index: 35\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 54\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 19.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 64\n  - Team productivity index: 35\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 54\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-operations_time-h-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "hard", "domain": "operations_time", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nOperations Assessment Background: The facility under review operates within a sector where efficiency benchmarks are influenced by process maturity, equipment age, and workforce training levels. Independent audits typically assess throughput, cycle time, and quality-adjusted output across multiple dimensions.\n\n[Document 2]\nA recent survey of comparable organizations reported a efficiency index of approximately 99.\n\n[Document 3]\nAudit Methodology Note: Efficiency ratings were collected using standardized audit protocols administered by independent assessment teams. All scores are calibrated against a common reference framework to ensure cross-facility comparability.\n\nAn operations manager is assessing overall process efficiency for a manufacturing line. Five independent audit ratings are available.\n\nEvidence:\n  - Process audit efficiency score: 64\n  - Team productivity index: 35\n  - Cycle-time benchmark rating: [data not available]\n  - Quality-adjusted throughput score: [data not available]\n  - Lean assessment rating: 54\n\nBased on these assessments, estimate the overall operational efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 56\n  - Carrier compliance index: 53\n  - Load factor optimization rating: 74\n  - Claims resolution score: 55\n  - Last-mile performance rating: 64\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 48. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 56\n  - Carrier compliance index: 53\n  - Load factor optimization rating: 74\n  - Claims resolution score: 55\n  - Last-mile performance rating: 64\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 78. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 56\n  - Carrier compliance index: 53\n  - Load factor optimization rating: 74\n  - Claims resolution score: 55\n  - Last-mile performance rating: 64\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 48.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 56\n  - Carrier compliance index: 53\n  - Load factor optimization rating: 74\n  - Claims resolution score: 55\n  - Last-mile performance rating: 64\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 78.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 56\n  - Carrier compliance index: 53\n  - Load factor optimization rating: 74\n  - Claims resolution score: 55\n  - Last-mile performance rating: 64\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 29\n  - Network coverage index: 19\n  - Temperature control compliance rating: 33\n  - Documentation accuracy score: 36\n  - Cross-docking efficiency rating: 36\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #16. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 29\n  - Network coverage index: 19\n  - Temperature control compliance rating: 33\n  - Documentation accuracy score: 36\n  - Cross-docking efficiency rating: 36\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #46. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 29\n  - Network coverage index: 19\n  - Temperature control compliance rating: 33\n  - Documentation accuracy score: 36\n  - Cross-docking efficiency rating: 36\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 16.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 29\n  - Network coverage index: 19\n  - Temperature control compliance rating: 33\n  - Documentation accuracy score: 36\n  - Cross-docking efficiency rating: 36\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 46.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 29\n  - Network coverage index: 19\n  - Temperature control compliance rating: 33\n  - Documentation accuracy score: 36\n  - Cross-docking efficiency rating: 36\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 65\n  - Fleet utilization rating: 76\n  - Customer satisfaction (logistics) score: 69\n  - Damage/loss incident inverse score: 56\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 49 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 65\n  - Fleet utilization rating: 76\n  - Customer satisfaction (logistics) score: 69\n  - Damage/loss incident inverse score: 56\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 79, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 79 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 65\n  - Fleet utilization rating: 76\n  - Customer satisfaction (logistics) score: 69\n  - Damage/loss incident inverse score: 56\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 49.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 65\n  - Fleet utilization rating: 76\n  - Customer satisfaction (logistics) score: 69\n  - Damage/loss incident inverse score: 56\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 79, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 79.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 65\n  - Fleet utilization rating: 76\n  - Customer satisfaction (logistics) score: 69\n  - Damage/loss incident inverse score: 56\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 38\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 38\n  - Claims resolution score: 46\n  - Last-mile performance rating: 50\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #27. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 38\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 38\n  - Claims resolution score: 46\n  - Last-mile performance rating: 50\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #57. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 38\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 38\n  - Claims resolution score: 46\n  - Last-mile performance rating: 50\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 27.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 38\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 38\n  - Claims resolution score: 46\n  - Last-mile performance rating: 50\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 57.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 38\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 38\n  - Claims resolution score: 46\n  - Last-mile performance rating: 50\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 36\n  - Temperature control compliance rating: 38\n  - Documentation accuracy score: 54\n  - Cross-docking efficiency rating: 39\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 27. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 36\n  - Temperature control compliance rating: 38\n  - Documentation accuracy score: 54\n  - Cross-docking efficiency rating: 39\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 57. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 36\n  - Temperature control compliance rating: 38\n  - Documentation accuracy score: 54\n  - Cross-docking efficiency rating: 39\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 27.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 36\n  - Temperature control compliance rating: 38\n  - Documentation accuracy score: 54\n  - Cross-docking efficiency rating: 39\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 57.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 36\n  - Temperature control compliance rating: 38\n  - Documentation accuracy score: 54\n  - Cross-docking efficiency rating: 39\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 67\n  - Fleet utilization rating: 68\n  - Customer satisfaction (logistics) score: 61\n  - Damage/loss incident inverse score: 60\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #45. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 67\n  - Fleet utilization rating: 68\n  - Customer satisfaction (logistics) score: 61\n  - Damage/loss incident inverse score: 60\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #75. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 67\n  - Fleet utilization rating: 68\n  - Customer satisfaction (logistics) score: 61\n  - Damage/loss incident inverse score: 60\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 45.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 67\n  - Fleet utilization rating: 68\n  - Customer satisfaction (logistics) score: 61\n  - Damage/loss incident inverse score: 60\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 75.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 59\n  - Route optimization index: 67\n  - Fleet utilization rating: 68\n  - Customer satisfaction (logistics) score: 61\n  - Damage/loss incident inverse score: 60\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 73\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 73\n  - Claims resolution score: 59\n  - Last-mile performance rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 51, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 51 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 73\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 73\n  - Claims resolution score: 59\n  - Last-mile performance rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 81, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 81 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 73\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 73\n  - Claims resolution score: 59\n  - Last-mile performance rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 51, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 51.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 73\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 73\n  - Claims resolution score: 59\n  - Last-mile performance rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 81, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 81.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 73\n  - Carrier compliance index: 46\n  - Load factor optimization rating: 73\n  - Claims resolution score: 59\n  - Last-mile performance rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 19\n  - Network coverage index: 40\n  - Temperature control compliance rating: 42\n  - Documentation accuracy score: 33\n  - Cross-docking efficiency rating: 25\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #18. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 19\n  - Network coverage index: 40\n  - Temperature control compliance rating: 42\n  - Documentation accuracy score: 33\n  - Cross-docking efficiency rating: 25\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #48. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 19\n  - Network coverage index: 40\n  - Temperature control compliance rating: 42\n  - Documentation accuracy score: 33\n  - Cross-docking efficiency rating: 25\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 18.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 19\n  - Network coverage index: 40\n  - Temperature control compliance rating: 42\n  - Documentation accuracy score: 33\n  - Cross-docking efficiency rating: 25\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 48.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 19\n  - Network coverage index: 40\n  - Temperature control compliance rating: 42\n  - Documentation accuracy score: 33\n  - Cross-docking efficiency rating: 25\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 17\n  - Route optimization index: 35\n  - Fleet utilization rating: 35\n  - Customer satisfaction (logistics) score: 49\n  - Damage/loss incident inverse score: 35\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 19. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 17\n  - Route optimization index: 35\n  - Fleet utilization rating: 35\n  - Customer satisfaction (logistics) score: 49\n  - Damage/loss incident inverse score: 35\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 49. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 17\n  - Route optimization index: 35\n  - Fleet utilization rating: 35\n  - Customer satisfaction (logistics) score: 49\n  - Damage/loss incident inverse score: 35\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 19.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 17\n  - Route optimization index: 35\n  - Fleet utilization rating: 35\n  - Customer satisfaction (logistics) score: 49\n  - Damage/loss incident inverse score: 35\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 49.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 17\n  - Route optimization index: 35\n  - Fleet utilization rating: 35\n  - Customer satisfaction (logistics) score: 49\n  - Damage/loss incident inverse score: 35\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 37\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 27\n  - Claims resolution score: 30\n  - Last-mile performance rating: 42\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #19. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 37\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 27\n  - Claims resolution score: 30\n  - Last-mile performance rating: 42\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #49. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 37\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 27\n  - Claims resolution score: 30\n  - Last-mile performance rating: 42\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 19.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 37\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 27\n  - Claims resolution score: 30\n  - Last-mile performance rating: 42\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 49.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 37\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 27\n  - Claims resolution score: 30\n  - Last-mile performance rating: 42\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 52\n  - Network coverage index: 51\n  - Temperature control compliance rating: 46\n  - Documentation accuracy score: 46\n  - Cross-docking efficiency rating: 37\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 22 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 52\n  - Network coverage index: 51\n  - Temperature control compliance rating: 46\n  - Documentation accuracy score: 46\n  - Cross-docking efficiency rating: 37\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 72 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 52\n  - Network coverage index: 51\n  - Temperature control compliance rating: 46\n  - Documentation accuracy score: 46\n  - Cross-docking efficiency rating: 37\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 22.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 52\n  - Network coverage index: 51\n  - Temperature control compliance rating: 46\n  - Documentation accuracy score: 46\n  - Cross-docking efficiency rating: 37\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 72.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 52\n  - Network coverage index: 51\n  - Temperature control compliance rating: 46\n  - Documentation accuracy score: 46\n  - Cross-docking efficiency rating: 37\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 35\n  - Route optimization index: 62\n  - Fleet utilization rating: 51\n  - Customer satisfaction (logistics) score: 54\n  - Damage/loss incident inverse score: 43\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #21. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 35\n  - Route optimization index: 62\n  - Fleet utilization rating: 51\n  - Customer satisfaction (logistics) score: 54\n  - Damage/loss incident inverse score: 43\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #71. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 35\n  - Route optimization index: 62\n  - Fleet utilization rating: 51\n  - Customer satisfaction (logistics) score: 54\n  - Damage/loss incident inverse score: 43\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 21.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 35\n  - Route optimization index: 62\n  - Fleet utilization rating: 51\n  - Customer satisfaction (logistics) score: 54\n  - Damage/loss incident inverse score: 43\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 71.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 35\n  - Route optimization index: 62\n  - Fleet utilization rating: 51\n  - Customer satisfaction (logistics) score: 54\n  - Damage/loss incident inverse score: 43\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: 58\n  - Carrier compliance index: 71\n  - Load factor optimization rating: 59\n  - Claims resolution score: 56\n  - Last-mile performance rating: 75\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 40. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: 58\n  - Carrier compliance index: 71\n  - Load factor optimization rating: 59\n  - Claims resolution score: 56\n  - Last-mile performance rating: 75\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 90, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 90. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: 58\n  - Carrier compliance index: 71\n  - Load factor optimization rating: 59\n  - Claims resolution score: 56\n  - Last-mile performance rating: 75\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 40.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: 58\n  - Carrier compliance index: 71\n  - Load factor optimization rating: 59\n  - Claims resolution score: 56\n  - Last-mile performance rating: 75\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 90, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 90.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: 58\n  - Carrier compliance index: 71\n  - Load factor optimization rating: 59\n  - Claims resolution score: 56\n  - Last-mile performance rating: 75\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: 61\n  - Network coverage index: 78\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 66\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #43. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: 61\n  - Network coverage index: 78\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 66\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #93. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: 61\n  - Network coverage index: 78\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 66\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 43.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: 61\n  - Network coverage index: 78\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 66\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 93.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: 61\n  - Network coverage index: 78\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 66\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 67\n  - Route optimization index: 53\n  - Fleet utilization rating: 75\n  - Customer satisfaction (logistics) score: 60\n  - Damage/loss incident inverse score: 60\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 38 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 67\n  - Route optimization index: 53\n  - Fleet utilization rating: 75\n  - Customer satisfaction (logistics) score: 60\n  - Damage/loss incident inverse score: 60\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 88 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 67\n  - Route optimization index: 53\n  - Fleet utilization rating: 75\n  - Customer satisfaction (logistics) score: 60\n  - Damage/loss incident inverse score: 60\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 38.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 67\n  - Route optimization index: 53\n  - Fleet utilization rating: 75\n  - Customer satisfaction (logistics) score: 60\n  - Damage/loss incident inverse score: 60\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 88.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 67\n  - Route optimization index: 53\n  - Fleet utilization rating: 75\n  - Customer satisfaction (logistics) score: 60\n  - Damage/loss incident inverse score: 60\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 42\n  - Carrier compliance index: 50\n  - Load factor optimization rating: 37\n  - Claims resolution score: 25\n  - Last-mile performance rating: 42\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #15. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 42\n  - Carrier compliance index: 50\n  - Load factor optimization rating: 37\n  - Claims resolution score: 25\n  - Last-mile performance rating: 42\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #65. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 42\n  - Carrier compliance index: 50\n  - Load factor optimization rating: 37\n  - Claims resolution score: 25\n  - Last-mile performance rating: 42\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 15.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 42\n  - Carrier compliance index: 50\n  - Load factor optimization rating: 37\n  - Claims resolution score: 25\n  - Last-mile performance rating: 42\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 65.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 42\n  - Carrier compliance index: 50\n  - Load factor optimization rating: 37\n  - Claims resolution score: 25\n  - Last-mile performance rating: 42\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: 70\n  - Network coverage index: 64\n  - Temperature control compliance rating: 74\n  - Documentation accuracy score: 79\n  - Cross-docking efficiency rating: 68\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 43. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: 70\n  - Network coverage index: 64\n  - Temperature control compliance rating: 74\n  - Documentation accuracy score: 79\n  - Cross-docking efficiency rating: 68\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 93. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: 70\n  - Network coverage index: 64\n  - Temperature control compliance rating: 74\n  - Documentation accuracy score: 79\n  - Cross-docking efficiency rating: 68\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 43.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: 70\n  - Network coverage index: 64\n  - Temperature control compliance rating: 74\n  - Documentation accuracy score: 79\n  - Cross-docking efficiency rating: 68\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 93.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: 70\n  - Network coverage index: 64\n  - Temperature control compliance rating: 74\n  - Documentation accuracy score: 79\n  - Cross-docking efficiency rating: 68\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: 72\n  - Route optimization index: 63\n  - Fleet utilization rating: 63\n  - Customer satisfaction (logistics) score: 36\n  - Damage/loss incident inverse score: 48\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #30. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: 72\n  - Route optimization index: 63\n  - Fleet utilization rating: 63\n  - Customer satisfaction (logistics) score: 36\n  - Damage/loss incident inverse score: 48\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #80. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: 72\n  - Route optimization index: 63\n  - Fleet utilization rating: 63\n  - Customer satisfaction (logistics) score: 36\n  - Damage/loss incident inverse score: 48\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 30.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: 72\n  - Route optimization index: 63\n  - Fleet utilization rating: 63\n  - Customer satisfaction (logistics) score: 36\n  - Damage/loss incident inverse score: 48\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 80.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: 72\n  - Route optimization index: 63\n  - Fleet utilization rating: 63\n  - Customer satisfaction (logistics) score: 36\n  - Damage/loss incident inverse score: 48\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 40\n  - Carrier compliance index: 39\n  - Load factor optimization rating: 40\n  - Claims resolution score: 37\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 9 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 40\n  - Carrier compliance index: 39\n  - Load factor optimization rating: 40\n  - Claims resolution score: 37\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 59 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 40\n  - Carrier compliance index: 39\n  - Load factor optimization rating: 40\n  - Claims resolution score: 37\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 9.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 40\n  - Carrier compliance index: 39\n  - Load factor optimization rating: 40\n  - Claims resolution score: 37\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 59.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 40\n  - Carrier compliance index: 39\n  - Load factor optimization rating: 40\n  - Claims resolution score: 37\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 81\n  - Network coverage index: 56\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 91\n  - Cross-docking efficiency rating: 61\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #44. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 81\n  - Network coverage index: 56\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 91\n  - Cross-docking efficiency rating: 61\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #94. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 81\n  - Network coverage index: 56\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 91\n  - Cross-docking efficiency rating: 61\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 44.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 81\n  - Network coverage index: 56\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 91\n  - Cross-docking efficiency rating: 61\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 94.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 81\n  - Network coverage index: 56\n  - Temperature control compliance rating: 76\n  - Documentation accuracy score: 91\n  - Cross-docking efficiency rating: 61\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 73, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: 52\n  - Route optimization index: 35\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 59\n  - Damage/loss incident inverse score: 34\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 9. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: 52\n  - Route optimization index: 35\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 59\n  - Damage/loss incident inverse score: 34\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 89. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: 52\n  - Route optimization index: 35\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 59\n  - Damage/loss incident inverse score: 34\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 9.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: 52\n  - Route optimization index: 35\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 59\n  - Damage/loss incident inverse score: 34\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 89.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: 52\n  - Route optimization index: 35\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 59\n  - Damage/loss incident inverse score: 34\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: 47\n  - Load factor optimization rating: 71\n  - Claims resolution score: 51\n  - Last-mile performance rating: 62\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #21. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: 47\n  - Load factor optimization rating: 71\n  - Claims resolution score: 51\n  - Last-mile performance rating: 62\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #100. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: 47\n  - Load factor optimization rating: 71\n  - Claims resolution score: 51\n  - Last-mile performance rating: 62\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 21.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: 47\n  - Load factor optimization rating: 71\n  - Claims resolution score: 51\n  - Last-mile performance rating: 62\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 100.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: 47\n  - Load factor optimization rating: 71\n  - Claims resolution score: 51\n  - Last-mile performance rating: 62\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: 47\n  - Network coverage index: 48\n  - Temperature control compliance rating: 49\n  - Documentation accuracy score: 43\n  - Cross-docking efficiency rating: 44\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 8, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 8 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: 47\n  - Network coverage index: 48\n  - Temperature control compliance rating: 49\n  - Documentation accuracy score: 43\n  - Cross-docking efficiency rating: 44\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 88, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 88 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: 47\n  - Network coverage index: 48\n  - Temperature control compliance rating: 49\n  - Documentation accuracy score: 43\n  - Cross-docking efficiency rating: 44\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 8, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 8.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: 47\n  - Network coverage index: 48\n  - Temperature control compliance rating: 49\n  - Documentation accuracy score: 43\n  - Cross-docking efficiency rating: 44\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 88, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 88.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: 47\n  - Network coverage index: 48\n  - Temperature control compliance rating: 49\n  - Documentation accuracy score: 43\n  - Cross-docking efficiency rating: 44\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 44\n  - Route optimization index: 35\n  - Fleet utilization rating: 55\n  - Customer satisfaction (logistics) score: 63\n  - Damage/loss incident inverse score: 65\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #12. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 44\n  - Route optimization index: 35\n  - Fleet utilization rating: 55\n  - Customer satisfaction (logistics) score: 63\n  - Damage/loss incident inverse score: 65\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #92. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 44\n  - Route optimization index: 35\n  - Fleet utilization rating: 55\n  - Customer satisfaction (logistics) score: 63\n  - Damage/loss incident inverse score: 65\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 12.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 44\n  - Route optimization index: 35\n  - Fleet utilization rating: 55\n  - Customer satisfaction (logistics) score: 63\n  - Damage/loss incident inverse score: 65\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 92.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 44\n  - Route optimization index: 35\n  - Fleet utilization rating: 55\n  - Customer satisfaction (logistics) score: 63\n  - Damage/loss incident inverse score: 65\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 61\n  - Carrier compliance index: 69\n  - Load factor optimization rating: 58\n  - Claims resolution score: 57\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 20. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 61\n  - Carrier compliance index: 69\n  - Load factor optimization rating: 58\n  - Claims resolution score: 57\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 61\n  - Carrier compliance index: 69\n  - Load factor optimization rating: 58\n  - Claims resolution score: 57\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 20.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 61\n  - Carrier compliance index: 69\n  - Load factor optimization rating: 58\n  - Claims resolution score: 57\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 100.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: 61\n  - Carrier compliance index: 69\n  - Load factor optimization rating: 58\n  - Claims resolution score: 57\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 24\n  - Temperature control compliance rating: 20\n  - Documentation accuracy score: 27\n  - Cross-docking efficiency rating: 39\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 24\n  - Temperature control compliance rating: 20\n  - Documentation accuracy score: 27\n  - Cross-docking efficiency rating: 39\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #74. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 24\n  - Temperature control compliance rating: 20\n  - Documentation accuracy score: 27\n  - Cross-docking efficiency rating: 39\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 0.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 24\n  - Temperature control compliance rating: 20\n  - Documentation accuracy score: 27\n  - Cross-docking efficiency rating: 39\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 74.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 38\n  - Network coverage index: 24\n  - Temperature control compliance rating: 20\n  - Documentation accuracy score: 27\n  - Cross-docking efficiency rating: 39\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 74\n  - Route optimization index: 54\n  - Fleet utilization rating: 58\n  - Customer satisfaction (logistics) score: 66\n  - Damage/loss incident inverse score: 65\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 26, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 26 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 74\n  - Route optimization index: 54\n  - Fleet utilization rating: 58\n  - Customer satisfaction (logistics) score: 66\n  - Damage/loss incident inverse score: 65\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 74\n  - Route optimization index: 54\n  - Fleet utilization rating: 58\n  - Customer satisfaction (logistics) score: 66\n  - Damage/loss incident inverse score: 65\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 26, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 26.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 74\n  - Route optimization index: 54\n  - Fleet utilization rating: 58\n  - Customer satisfaction (logistics) score: 66\n  - Damage/loss incident inverse score: 65\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 100.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: 74\n  - Route optimization index: 54\n  - Fleet utilization rating: 58\n  - Customer satisfaction (logistics) score: 66\n  - Damage/loss incident inverse score: 65\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 51\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 48\n  - Claims resolution score: 53\n  - Last-mile performance rating: 31\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #7. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 51\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 48\n  - Claims resolution score: 53\n  - Last-mile performance rating: 31\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #87. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 51\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 48\n  - Claims resolution score: 53\n  - Last-mile performance rating: 31\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 7.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 51\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 48\n  - Claims resolution score: 53\n  - Last-mile performance rating: 31\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 87.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 51\n  - Carrier compliance index: 42\n  - Load factor optimization rating: 48\n  - Claims resolution score: 53\n  - Last-mile performance rating: 31\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 69\n  - Network coverage index: 58\n  - Temperature control compliance rating: 69\n  - Documentation accuracy score: 60\n  - Cross-docking efficiency rating: 77\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 28, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 28. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 69\n  - Network coverage index: 58\n  - Temperature control compliance rating: 69\n  - Documentation accuracy score: 60\n  - Cross-docking efficiency rating: 77\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 69\n  - Network coverage index: 58\n  - Temperature control compliance rating: 69\n  - Documentation accuracy score: 60\n  - Cross-docking efficiency rating: 77\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 28, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 28.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 69\n  - Network coverage index: 58\n  - Temperature control compliance rating: 69\n  - Documentation accuracy score: 60\n  - Cross-docking efficiency rating: 77\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 100.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: 69\n  - Network coverage index: 58\n  - Temperature control compliance rating: 69\n  - Documentation accuracy score: 60\n  - Cross-docking efficiency rating: 77\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 67, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 41\n  - Route optimization index: 43\n  - Fleet utilization rating: 43\n  - Customer satisfaction (logistics) score: 33\n  - Damage/loss incident inverse score: 44\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 41\n  - Route optimization index: 43\n  - Fleet utilization rating: 43\n  - Customer satisfaction (logistics) score: 33\n  - Damage/loss incident inverse score: 44\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #80. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 41\n  - Route optimization index: 43\n  - Fleet utilization rating: 43\n  - Customer satisfaction (logistics) score: 33\n  - Damage/loss incident inverse score: 44\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 0.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 41\n  - Route optimization index: 43\n  - Fleet utilization rating: 43\n  - Customer satisfaction (logistics) score: 33\n  - Damage/loss incident inverse score: 44\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-e-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 80.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: 41\n  - Route optimization index: 43\n  - Fleet utilization rating: 43\n  - Customer satisfaction (logistics) score: 33\n  - Damage/loss incident inverse score: 44\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 56\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 27 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 56\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 57 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 56\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 27.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 56\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 57.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 56\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 46\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 54\n  - Network coverage index: 47\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 28\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #38. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 54\n  - Network coverage index: 47\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 28\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #68. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 54\n  - Network coverage index: 47\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 28\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 38.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 54\n  - Network coverage index: 47\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 28\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 68.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 54\n  - Network coverage index: 47\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 28\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 38\n  - Route optimization index: 53\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 42\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 42, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 42. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 38\n  - Route optimization index: 53\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 42\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 72. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 38\n  - Route optimization index: 53\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 42\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 42, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 42.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 38\n  - Route optimization index: 53\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 42\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 72.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: 38\n  - Route optimization index: 53\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 42\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 75\n  - Load factor optimization rating: 14\n  - Claims resolution score: 52\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #20. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 75\n  - Load factor optimization rating: 14\n  - Claims resolution score: 52\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #50. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 75\n  - Load factor optimization rating: 14\n  - Claims resolution score: 52\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 20.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 75\n  - Load factor optimization rating: 14\n  - Claims resolution score: 52\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 50.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 75\n  - Load factor optimization rating: 14\n  - Claims resolution score: 52\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 74\n  - Temperature control compliance rating: 25\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 15\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 20 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 74\n  - Temperature control compliance rating: 25\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 15\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 50 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 74\n  - Temperature control compliance rating: 25\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 15\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 20.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 74\n  - Temperature control compliance rating: 25\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 15\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 50, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 50.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 74\n  - Temperature control compliance rating: 25\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 15\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 69\n  - Fleet utilization rating: 52\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 39\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #47. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 69\n  - Fleet utilization rating: 52\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 39\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #77. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 69\n  - Fleet utilization rating: 52\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 39\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 47.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 69\n  - Fleet utilization rating: 52\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 39\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 77.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 69\n  - Fleet utilization rating: 52\n  - Customer satisfaction (logistics) score: [data not available]\n  - Damage/loss incident inverse score: 39\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 59\n  - Load factor optimization rating: 52\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 72\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 16. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 59\n  - Load factor optimization rating: 52\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 72\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 46. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 59\n  - Load factor optimization rating: 52\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 72\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 16.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 59\n  - Load factor optimization rating: 52\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 72\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 46.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 59\n  - Load factor optimization rating: 52\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 72\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 68\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 56\n  - Cross-docking efficiency rating: 38\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #38. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 68\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 56\n  - Cross-docking efficiency rating: 38\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #68. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 68\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 56\n  - Cross-docking efficiency rating: 38\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 38.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 68\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 56\n  - Cross-docking efficiency rating: 38\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 68.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 68\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: 56\n  - Cross-docking efficiency rating: 38\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 46\n  - Customer satisfaction (logistics) score: 64\n  - Damage/loss incident inverse score: 61\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 35 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 46\n  - Customer satisfaction (logistics) score: 64\n  - Damage/loss incident inverse score: 61\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 65 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 46\n  - Customer satisfaction (logistics) score: 64\n  - Damage/loss incident inverse score: 61\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 35.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 46\n  - Customer satisfaction (logistics) score: 64\n  - Damage/loss incident inverse score: 61\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 65.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 46\n  - Customer satisfaction (logistics) score: 64\n  - Damage/loss incident inverse score: 61\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 44\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 48\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #38. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 44\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 48\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #68. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 44\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 48\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 38.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 44\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 48\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 68.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 44\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: [data not available]\n  - Last-mile performance rating: 48\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 66\n  - Documentation accuracy score: 29\n  - Cross-docking efficiency rating: 41\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 16. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 66\n  - Documentation accuracy score: 29\n  - Cross-docking efficiency rating: 41\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 66. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 66\n  - Documentation accuracy score: 29\n  - Cross-docking efficiency rating: 41\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 16.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 66\n  - Documentation accuracy score: 29\n  - Cross-docking efficiency rating: 41\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 66.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 66\n  - Documentation accuracy score: 29\n  - Cross-docking efficiency rating: 41\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 44\n  - Fleet utilization rating: 38\n  - Customer satisfaction (logistics) score: 48\n  - Damage/loss incident inverse score: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #23. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 44\n  - Fleet utilization rating: 38\n  - Customer satisfaction (logistics) score: 48\n  - Damage/loss incident inverse score: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #73. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 44\n  - Fleet utilization rating: 38\n  - Customer satisfaction (logistics) score: 48\n  - Damage/loss incident inverse score: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 23.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 44\n  - Fleet utilization rating: 38\n  - Customer satisfaction (logistics) score: 48\n  - Damage/loss incident inverse score: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 73.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 44\n  - Fleet utilization rating: 38\n  - Customer satisfaction (logistics) score: 48\n  - Damage/loss incident inverse score: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 63\n  - Claims resolution score: 45\n  - Last-mile performance rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 23 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 63\n  - Claims resolution score: 45\n  - Last-mile performance rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 73 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 63\n  - Claims resolution score: 45\n  - Last-mile performance rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 23.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 63\n  - Claims resolution score: 45\n  - Last-mile performance rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 73.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Shipment tracking accuracy score: 60\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 63\n  - Claims resolution score: 45\n  - Last-mile performance rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 63\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 32\n  - Documentation accuracy score: 72\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #18. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 63\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 32\n  - Documentation accuracy score: 72\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 68, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #68. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 63\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 32\n  - Documentation accuracy score: 72\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 18.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 63\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 32\n  - Documentation accuracy score: 72\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 68, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 68.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Transit time consistency score: 63\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 32\n  - Documentation accuracy score: 72\n  - Cross-docking efficiency rating: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 21\n  - Fleet utilization rating: 45\n  - Customer satisfaction (logistics) score: 91\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 7, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 7. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 21\n  - Fleet utilization rating: 45\n  - Customer satisfaction (logistics) score: 91\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 57. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 21\n  - Fleet utilization rating: 45\n  - Customer satisfaction (logistics) score: 91\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 7, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 7.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 21\n  - Fleet utilization rating: 45\n  - Customer satisfaction (logistics) score: 91\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 57.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 21\n  - Fleet utilization rating: 45\n  - Customer satisfaction (logistics) score: 91\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 32\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 50\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #5. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 32\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 50\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #55. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 32\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 50\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 5.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 32\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 50\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 55.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - Shipment tracking accuracy score: 69\n  - Carrier compliance index: 32\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 50\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 39\n  - Temperature control compliance rating: 65\n  - Documentation accuracy score: 62\n  - Cross-docking efficiency rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 21 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 39\n  - Temperature control compliance rating: 65\n  - Documentation accuracy score: 62\n  - Cross-docking efficiency rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 71 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 39\n  - Temperature control compliance rating: 65\n  - Documentation accuracy score: 62\n  - Cross-docking efficiency rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 21.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 39\n  - Temperature control compliance rating: 65\n  - Documentation accuracy score: 62\n  - Cross-docking efficiency rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 71.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: 39\n  - Temperature control compliance rating: 65\n  - Documentation accuracy score: 62\n  - Cross-docking efficiency rating: [data not available]\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 20\n  - Route optimization index: 65\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: 94\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 42, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #42. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 20\n  - Route optimization index: 65\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: 94\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #92. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 20\n  - Route optimization index: 65\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: 94\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 42, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 42.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 20\n  - Route optimization index: 65\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: 94\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 92.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - On-time delivery rate score: 20\n  - Route optimization index: 65\n  - Fleet utilization rating: [data not available]\n  - Customer satisfaction (logistics) score: 94\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 42\n  - Claims resolution score: 36\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 14. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 42\n  - Claims resolution score: 36\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 64. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 42\n  - Claims resolution score: 36\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 14.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 42\n  - Claims resolution score: 36\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 64.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 42\n  - Claims resolution score: 36\n  - Last-mile performance rating: 66\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 41\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 5\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 13, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #13. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 41\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 5\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 63, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #63. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 41\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 5\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 13, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 13.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 41\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 5\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 63, "offset": 25, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 63.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Transit time consistency score: 41\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 5\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 47\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 47\n  - Damage/loss incident inverse score: 81\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 19 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 47\n  - Damage/loss incident inverse score: 81\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 99 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 47\n  - Damage/loss incident inverse score: 81\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 19.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 47\n  - Damage/loss incident inverse score: 81\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 99.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 53\n  - Customer satisfaction (logistics) score: 47\n  - Damage/loss incident inverse score: 81\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 77\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 58\n  - Last-mile performance rating: 18\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 77\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 58\n  - Last-mile performance rating: 18\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #74. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 77\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 58\n  - Last-mile performance rating: 18\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 0.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 77\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 58\n  - Last-mile performance rating: 18\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 74.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 77\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 58\n  - Last-mile performance rating: 18\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 88\n  - Documentation accuracy score: 61\n  - Cross-docking efficiency rating: 9\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 88\n  - Documentation accuracy score: 61\n  - Cross-docking efficiency rating: 9\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 71. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 88\n  - Documentation accuracy score: 61\n  - Cross-docking efficiency rating: 9\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 0.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 88\n  - Documentation accuracy score: 61\n  - Cross-docking efficiency rating: 9\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 71.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA parcel delivery network is reviewing regional reliability performance. The following scores were collected from independent monitors.\n\nEvidence:\n  - Transit time consistency score: [data not available]\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 88\n  - Documentation accuracy score: 61\n  - Cross-docking efficiency rating: 9\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 23\n  - Customer satisfaction (logistics) score: 45\n  - Damage/loss incident inverse score: 63\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #18. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 23\n  - Customer satisfaction (logistics) score: 45\n  - Damage/loss incident inverse score: 63\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #98. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 23\n  - Customer satisfaction (logistics) score: 45\n  - Damage/loss incident inverse score: 63\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 18.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 23\n  - Customer satisfaction (logistics) score: 45\n  - Damage/loss incident inverse score: 63\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 98.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA rail freight operator is evaluating its intermodal logistics reliability. Five audit scores are available.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: [data not available]\n  - Fleet utilization rating: 23\n  - Customer satisfaction (logistics) score: 45\n  - Damage/loss incident inverse score: 63\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 50\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 53\n  - Last-mile performance rating: 50\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 5 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 50\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 53\n  - Last-mile performance rating: 50\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 85 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 50\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 53\n  - Last-mile performance rating: 50\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 5.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 50\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 53\n  - Last-mile performance rating: 50\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 85.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nAn international courier service is assessing cross-border delivery reliability. Performance ratings are summarized below.\n\nEvidence:\n  - Shipment tracking accuracy score: [data not available]\n  - Carrier compliance index: 50\n  - Load factor optimization rating: [data not available]\n  - Claims resolution score: 53\n  - Last-mile performance rating: 50\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 88\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 16\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 80\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #30. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 88\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 16\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 80\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 88\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 16\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 80\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 30.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 88\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 16\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 80\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 100.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA shipping company is evaluating its overall logistics reliability. Five operational metrics (scored 0–100) are summarized below.\n\nEvidence:\n  - Transit time consistency score: 88\n  - Network coverage index: [data not available]\n  - Temperature control compliance rating: 16\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 80\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 62\n  - Fleet utilization rating: 64\n  - Customer satisfaction (logistics) score: 67\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 20. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 62\n  - Fleet utilization rating: 64\n  - Customer satisfaction (logistics) score: 67\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 62\n  - Fleet utilization rating: 64\n  - Customer satisfaction (logistics) score: 67\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 20.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 62\n  - Fleet utilization rating: 64\n  - Customer satisfaction (logistics) score: 67\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDelivery Reliability Context: This assessment evaluates logistics performance across several operational dimensions. Comparable carriers show variability in reliability driven by network density, last-mile execution, and real-time tracking capabilities.\n\n[Document 2]\nA preliminary benchmarking study estimated the reliability index at approximately 100.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA last-mile delivery startup is assessing route reliability. Independent performance metrics are as follows.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 62\n  - Fleet utilization rating: 64\n  - Customer satisfaction (logistics) score: 67\n  - Damage/loss incident inverse score: [data not available]\n\nGiven the performance data above, what is your best estimate for the reliability score (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 48\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 25\n  - Claims resolution score: 37\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 48\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 25\n  - Claims resolution score: 37\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nFiling reference: assessment request #75. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 48\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 25\n  - Claims resolution score: 37\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 0.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 48\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 25\n  - Claims resolution score: 37\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nTransportation Review Summary: The reliability evaluation considers on-time performance, asset utilization, and incident rates. Industry patterns suggest that logistics reliability is jointly determined by planning sophistication and operational execution quality.\n\n[Document 2]\nComparable organizations in the sector reported reliability scores near 75.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nAn airline cargo division is rating its logistics performance. Five key performance indicators have been scored.\n\nEvidence:\n  - Shipment tracking accuracy score: 48\n  - Carrier compliance index: [data not available]\n  - Load factor optimization rating: 25\n  - Claims resolution score: 37\n  - Last-mile performance rating: [data not available]\n\nEstimate the composite logistics reliability score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 45\n  - Network coverage index: 44\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 0 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 45\n  - Network coverage index: 44\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nWorkflow note: this item is entry 70 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 45\n  - Network coverage index: 44\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 0.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 45\n  - Network coverage index: 44\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCarrier Performance Context: This logistics reliability assessment draws on multi-source performance data. Reliability in comparable operations has been influenced by capacity management, route optimization maturity, and customer communication protocols.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 70.\n\n[Document 3]\nMeasurement Procedures: The evaluation draws on parallel independent data sources with standardized collection methods. Quality assurance procedures include sensor calibration, data validation checks, and systematic handling of reporting gaps.\n\nA freight broker is evaluating carrier reliability. The following rating data is available from five audit sources.\n\nEvidence:\n  - Transit time consistency score: 45\n  - Network coverage index: 44\n  - Temperature control compliance rating: [data not available]\n  - Documentation accuracy score: [data not available]\n  - Cross-docking efficiency rating: 68\n\nWhat overall reliability index (0–100) do you estimate based on these performance data?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 24\n  - Fleet utilization rating: 50\n  - Customer satisfaction (logistics) score: 55\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 24\n  - Fleet utilization rating: 50\n  - Customer satisfaction (logistics) score: 55\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nAdministrative note: document batch reference #70. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 24\n  - Fleet utilization rating: 50\n  - Customer satisfaction (logistics) score: 55\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 0.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 24\n  - Fleet utilization rating: 50\n  - Customer satisfaction (logistics) score: 55\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-transportation_logistics-h-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 40, "difficulty": "hard", "domain": "transportation_logistics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nLogistics Assessment Background: The transportation operation under review serves markets where reliability depends on route complexity, fleet management practices, and external factors such as weather and infrastructure quality. Multiple performance indicators are collected from independent sources.\n\n[Document 2]\nA recent survey of comparable organizations reported a reliability index of approximately 70.\n\n[Document 3]\nPerformance Data Methodology: Reliability metrics were collected from independent operational monitoring systems. All indicators are normalized to a common performance scale. Data collection followed standardized logistics performance measurement protocols.\n\nA cold-chain logistics provider is assessing delivery reliability for perishable goods. Five indicators are summarized below.\n\nEvidence:\n  - On-time delivery rate score: [data not available]\n  - Route optimization index: 24\n  - Fleet utilization rating: 50\n  - Customer satisfaction (logistics) score: 55\n  - Damage/loss incident inverse score: [data not available]\n\nBased on these metrics, estimate the overall logistics reliability index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 66\n  - Recycling rate index: 43\n  - Emissions intensity rating: 64\n  - Resource recovery score: 56\n  - Environmental management system rating: 80\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 45. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 66\n  - Recycling rate index: 43\n  - Emissions intensity rating: 64\n  - Resource recovery score: 56\n  - Environmental management system rating: 80\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 75. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 66\n  - Recycling rate index: 43\n  - Emissions intensity rating: 64\n  - Resource recovery score: 56\n  - Environmental management system rating: 80\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 45.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 66\n  - Recycling rate index: 43\n  - Emissions intensity rating: 64\n  - Resource recovery score: 56\n  - Environmental management system rating: 80\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 75.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 66\n  - Recycling rate index: 43\n  - Emissions intensity rating: 64\n  - Resource recovery score: 56\n  - Environmental management system rating: 80\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 71\n  - Packaging efficiency rating: 65\n  - Supply chain carbon score: 59\n  - Biodiversity impact rating: 60\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #52. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 71\n  - Packaging efficiency rating: 65\n  - Supply chain carbon score: 59\n  - Biodiversity impact rating: 60\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #82. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 71\n  - Packaging efficiency rating: 65\n  - Supply chain carbon score: 59\n  - Biodiversity impact rating: 60\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 52.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 71\n  - Packaging efficiency rating: 65\n  - Supply chain carbon score: 59\n  - Biodiversity impact rating: 60\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 82.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 71\n  - Packaging efficiency rating: 65\n  - Supply chain carbon score: 59\n  - Biodiversity impact rating: 60\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 66, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 39\n  - Material waste reduction rating: 61\n  - Carbon footprint benchmark score: 44\n  - Sustainability compliance rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 32 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 39\n  - Material waste reduction rating: 61\n  - Carbon footprint benchmark score: 44\n  - Sustainability compliance rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 62 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 39\n  - Material waste reduction rating: 61\n  - Carbon footprint benchmark score: 44\n  - Sustainability compliance rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 32.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 39\n  - Material waste reduction rating: 61\n  - Carbon footprint benchmark score: 44\n  - Sustainability compliance rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 62.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 39\n  - Material waste reduction rating: 61\n  - Carbon footprint benchmark score: 44\n  - Sustainability compliance rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 65\n  - Recycling rate index: 55\n  - Emissions intensity rating: 66\n  - Resource recovery score: 64\n  - Environmental management system rating: 45\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #52. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 65\n  - Recycling rate index: 55\n  - Emissions intensity rating: 66\n  - Resource recovery score: 64\n  - Environmental management system rating: 45\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #82. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 65\n  - Recycling rate index: 55\n  - Emissions intensity rating: 66\n  - Resource recovery score: 64\n  - Environmental management system rating: 45\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 52.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 65\n  - Recycling rate index: 55\n  - Emissions intensity rating: 66\n  - Resource recovery score: 64\n  - Environmental management system rating: 45\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 82.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 65\n  - Recycling rate index: 55\n  - Emissions intensity rating: 66\n  - Resource recovery score: 64\n  - Environmental management system rating: 45\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 61\n  - Supply chain carbon score: 64\n  - Biodiversity impact rating: 56\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 43. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 61\n  - Supply chain carbon score: 64\n  - Biodiversity impact rating: 56\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 73. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 61\n  - Supply chain carbon score: 64\n  - Biodiversity impact rating: 56\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 43.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 61\n  - Supply chain carbon score: 64\n  - Biodiversity impact rating: 56\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 73.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 61\n  - Supply chain carbon score: 64\n  - Biodiversity impact rating: 56\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 67\n  - Material waste reduction rating: 66\n  - Carbon footprint benchmark score: 76\n  - Sustainability compliance rating: 72\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 54, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #54. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 67\n  - Material waste reduction rating: 66\n  - Carbon footprint benchmark score: 76\n  - Sustainability compliance rating: 72\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 84, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #84. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 67\n  - Material waste reduction rating: 66\n  - Carbon footprint benchmark score: 76\n  - Sustainability compliance rating: 72\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 54, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 54.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 67\n  - Material waste reduction rating: 66\n  - Carbon footprint benchmark score: 76\n  - Sustainability compliance rating: 72\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 84, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 84.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 67\n  - Material waste reduction rating: 66\n  - Carbon footprint benchmark score: 76\n  - Sustainability compliance rating: 72\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 71, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 57\n  - Recycling rate index: 53\n  - Emissions intensity rating: 64\n  - Resource recovery score: 59\n  - Environmental management system rating: 61\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 45 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 57\n  - Recycling rate index: 53\n  - Emissions intensity rating: 64\n  - Resource recovery score: 59\n  - Environmental management system rating: 61\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 75 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 57\n  - Recycling rate index: 53\n  - Emissions intensity rating: 64\n  - Resource recovery score: 59\n  - Environmental management system rating: 61\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 45.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 57\n  - Recycling rate index: 53\n  - Emissions intensity rating: 64\n  - Resource recovery score: 59\n  - Environmental management system rating: 61\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 75.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 57\n  - Recycling rate index: 53\n  - Emissions intensity rating: 64\n  - Resource recovery score: 59\n  - Environmental management system rating: 61\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: 53\n  - Packaging efficiency rating: 70\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 60\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #47. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: 53\n  - Packaging efficiency rating: 70\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 60\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #77. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: 53\n  - Packaging efficiency rating: 70\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 60\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 47.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: 53\n  - Packaging efficiency rating: 70\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 60\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 77.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: 53\n  - Packaging efficiency rating: 70\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 60\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: 62\n  - Water usage optimization index: 61\n  - Material waste reduction rating: 71\n  - Carbon footprint benchmark score: 72\n  - Sustainability compliance rating: 55\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 50, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 50. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: 62\n  - Water usage optimization index: 61\n  - Material waste reduction rating: 71\n  - Carbon footprint benchmark score: 72\n  - Sustainability compliance rating: 55\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 80. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: 62\n  - Water usage optimization index: 61\n  - Material waste reduction rating: 71\n  - Carbon footprint benchmark score: 72\n  - Sustainability compliance rating: 55\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 50, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 50.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: 62\n  - Water usage optimization index: 61\n  - Material waste reduction rating: 71\n  - Carbon footprint benchmark score: 72\n  - Sustainability compliance rating: 55\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 80.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: 62\n  - Water usage optimization index: 61\n  - Material waste reduction rating: 71\n  - Carbon footprint benchmark score: 72\n  - Sustainability compliance rating: 55\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: 24\n  - Emissions intensity rating: 30\n  - Resource recovery score: 25\n  - Environmental management system rating: 39\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #16. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: 24\n  - Emissions intensity rating: 30\n  - Resource recovery score: 25\n  - Environmental management system rating: 39\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #46. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: 24\n  - Emissions intensity rating: 30\n  - Resource recovery score: 25\n  - Environmental management system rating: 39\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 16.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: 24\n  - Emissions intensity rating: 30\n  - Resource recovery score: 25\n  - Environmental management system rating: 39\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 46.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: 24\n  - Emissions intensity rating: 30\n  - Resource recovery score: 25\n  - Environmental management system rating: 39\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 51\n  - Water reclamation index: 45\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 57\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 28, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 28 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 51\n  - Water reclamation index: 45\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 57\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 78 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 51\n  - Water reclamation index: 45\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 57\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 28, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 28.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 51\n  - Water reclamation index: 45\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 57\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 78.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 51\n  - Water reclamation index: 45\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 57\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 64\n  - Water usage optimization index: 65\n  - Material waste reduction rating: 64\n  - Carbon footprint benchmark score: 60\n  - Sustainability compliance rating: 64\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #35. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 64\n  - Water usage optimization index: 65\n  - Material waste reduction rating: 64\n  - Carbon footprint benchmark score: 60\n  - Sustainability compliance rating: 64\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #85. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 64\n  - Water usage optimization index: 65\n  - Material waste reduction rating: 64\n  - Carbon footprint benchmark score: 60\n  - Sustainability compliance rating: 64\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 35.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 64\n  - Water usage optimization index: 65\n  - Material waste reduction rating: 64\n  - Carbon footprint benchmark score: 60\n  - Sustainability compliance rating: 64\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 85.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 64\n  - Water usage optimization index: 65\n  - Material waste reduction rating: 64\n  - Carbon footprint benchmark score: 60\n  - Sustainability compliance rating: 64\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 40\n  - Emissions intensity rating: 29\n  - Resource recovery score: 25\n  - Environmental management system rating: 51\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 12. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 40\n  - Emissions intensity rating: 29\n  - Resource recovery score: 25\n  - Environmental management system rating: 51\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 62. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 40\n  - Emissions intensity rating: 29\n  - Resource recovery score: 25\n  - Environmental management system rating: 51\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 12.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 40\n  - Emissions intensity rating: 29\n  - Resource recovery score: 25\n  - Environmental management system rating: 51\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 62.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 40\n  - Emissions intensity rating: 29\n  - Resource recovery score: 25\n  - Environmental management system rating: 51\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 52\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 56\n  - Biodiversity impact rating: 46\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #30. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 52\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 56\n  - Biodiversity impact rating: 46\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #80. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 52\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 56\n  - Biodiversity impact rating: 46\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 30.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 52\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 56\n  - Biodiversity impact rating: 46\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 80.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 52\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 56\n  - Biodiversity impact rating: 46\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 45\n  - Water usage optimization index: 56\n  - Material waste reduction rating: 55\n  - Carbon footprint benchmark score: 52\n  - Sustainability compliance rating: 59\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 36 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 45\n  - Water usage optimization index: 56\n  - Material waste reduction rating: 55\n  - Carbon footprint benchmark score: 52\n  - Sustainability compliance rating: 59\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 86 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 45\n  - Water usage optimization index: 56\n  - Material waste reduction rating: 55\n  - Carbon footprint benchmark score: 52\n  - Sustainability compliance rating: 59\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 36.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 45\n  - Water usage optimization index: 56\n  - Material waste reduction rating: 55\n  - Carbon footprint benchmark score: 52\n  - Sustainability compliance rating: 59\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 86.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 45\n  - Water usage optimization index: 56\n  - Material waste reduction rating: 55\n  - Carbon footprint benchmark score: 52\n  - Sustainability compliance rating: 59\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 59\n  - Emissions intensity rating: 49\n  - Resource recovery score: 66\n  - Environmental management system rating: 50\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 28, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #28. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 59\n  - Emissions intensity rating: 49\n  - Resource recovery score: 66\n  - Environmental management system rating: 50\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #78. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 59\n  - Emissions intensity rating: 49\n  - Resource recovery score: 66\n  - Environmental management system rating: 50\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 28, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 28.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 59\n  - Emissions intensity rating: 49\n  - Resource recovery score: 66\n  - Environmental management system rating: 50\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 78.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 51\n  - Recycling rate index: 59\n  - Emissions intensity rating: 49\n  - Resource recovery score: 66\n  - Environmental management system rating: 50\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 46\n  - Packaging efficiency rating: 51\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: 50\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 26, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 26. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 46\n  - Packaging efficiency rating: 51\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: 50\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 76, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 76. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 46\n  - Packaging efficiency rating: 51\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: 50\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 26, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 26.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 46\n  - Packaging efficiency rating: 51\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: 50\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 76, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 76.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: 46\n  - Packaging efficiency rating: 51\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: 50\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 58\n  - Material waste reduction rating: 62\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: 66\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 33, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #33. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 58\n  - Material waste reduction rating: 62\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: 66\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 83, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #83. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 58\n  - Material waste reduction rating: 62\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: 66\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 33, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 33.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 58\n  - Material waste reduction rating: 62\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: 66\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 83, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 83.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 72\n  - Water usage optimization index: 58\n  - Material waste reduction rating: 62\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: 66\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 49\n  - Recycling rate index: 52\n  - Emissions intensity rating: 66\n  - Resource recovery score: 69\n  - Environmental management system rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 37, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 37 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 49\n  - Recycling rate index: 52\n  - Emissions intensity rating: 66\n  - Resource recovery score: 69\n  - Environmental management system rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 87 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 49\n  - Recycling rate index: 52\n  - Emissions intensity rating: 66\n  - Resource recovery score: 69\n  - Environmental management system rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 37, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 37.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 49\n  - Recycling rate index: 52\n  - Emissions intensity rating: 66\n  - Resource recovery score: 69\n  - Environmental management system rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 87.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 49\n  - Recycling rate index: 52\n  - Emissions intensity rating: 66\n  - Resource recovery score: 69\n  - Environmental management system rating: 47\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 45\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 52\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 55\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #32. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 45\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 52\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 55\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #82. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 45\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 52\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 55\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 32.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 45\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 52\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 55\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 82.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 45\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 52\n  - Supply chain carbon score: 49\n  - Biodiversity impact rating: 55\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 44\n  - Carbon footprint benchmark score: 34\n  - Sustainability compliance rating: 35\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 5. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 44\n  - Carbon footprint benchmark score: 34\n  - Sustainability compliance rating: 35\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 85. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 44\n  - Carbon footprint benchmark score: 34\n  - Sustainability compliance rating: 35\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 5.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 44\n  - Carbon footprint benchmark score: 34\n  - Sustainability compliance rating: 35\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 85.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 52\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 44\n  - Carbon footprint benchmark score: 34\n  - Sustainability compliance rating: 35\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 38\n  - Emissions intensity rating: 50\n  - Resource recovery score: 40\n  - Environmental management system rating: 42\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 1, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #1. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 38\n  - Emissions intensity rating: 50\n  - Resource recovery score: 40\n  - Environmental management system rating: 42\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 81, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #81. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 38\n  - Emissions intensity rating: 50\n  - Resource recovery score: 40\n  - Environmental management system rating: 42\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 1, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 1.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 38\n  - Emissions intensity rating: 50\n  - Resource recovery score: 40\n  - Environmental management system rating: 42\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 81, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 81.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 38\n  - Emissions intensity rating: 50\n  - Resource recovery score: 40\n  - Environmental management system rating: 42\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 64\n  - Water reclamation index: 27\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: 58\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 12 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 64\n  - Water reclamation index: 27\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: 58\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 92 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 64\n  - Water reclamation index: 27\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: 58\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 12.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 64\n  - Water reclamation index: 27\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: 58\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 92.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 64\n  - Water reclamation index: 27\n  - Packaging efficiency rating: 50\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: 58\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 50\n  - Water usage optimization index: 43\n  - Material waste reduction rating: 36\n  - Carbon footprint benchmark score: 49\n  - Sustainability compliance rating: 33\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #9. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 50\n  - Water usage optimization index: 43\n  - Material waste reduction rating: 36\n  - Carbon footprint benchmark score: 49\n  - Sustainability compliance rating: 33\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #89. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 50\n  - Water usage optimization index: 43\n  - Material waste reduction rating: 36\n  - Carbon footprint benchmark score: 49\n  - Sustainability compliance rating: 33\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 9.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 50\n  - Water usage optimization index: 43\n  - Material waste reduction rating: 36\n  - Carbon footprint benchmark score: 49\n  - Sustainability compliance rating: 33\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 89.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 50\n  - Water usage optimization index: 43\n  - Material waste reduction rating: 36\n  - Carbon footprint benchmark score: 49\n  - Sustainability compliance rating: 33\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 43\n  - Recycling rate index: 47\n  - Emissions intensity rating: 58\n  - Resource recovery score: 57\n  - Environmental management system rating: 60\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 16. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 43\n  - Recycling rate index: 47\n  - Emissions intensity rating: 58\n  - Resource recovery score: 57\n  - Environmental management system rating: 60\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 96. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 43\n  - Recycling rate index: 47\n  - Emissions intensity rating: 58\n  - Resource recovery score: 57\n  - Environmental management system rating: 60\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 16.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 43\n  - Recycling rate index: 47\n  - Emissions intensity rating: 58\n  - Resource recovery score: 57\n  - Environmental management system rating: 60\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 96.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: 43\n  - Recycling rate index: 47\n  - Emissions intensity rating: 58\n  - Resource recovery score: 57\n  - Environmental management system rating: 60\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 58\n  - Packaging efficiency rating: 59\n  - Supply chain carbon score: 50\n  - Biodiversity impact rating: 54\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #14. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 58\n  - Packaging efficiency rating: 59\n  - Supply chain carbon score: 50\n  - Biodiversity impact rating: 54\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #94. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 58\n  - Packaging efficiency rating: 59\n  - Supply chain carbon score: 50\n  - Biodiversity impact rating: 54\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 14.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 58\n  - Packaging efficiency rating: 59\n  - Supply chain carbon score: 50\n  - Biodiversity impact rating: 54\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 94.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 74\n  - Water reclamation index: 58\n  - Packaging efficiency rating: 59\n  - Supply chain carbon score: 50\n  - Biodiversity impact rating: 54\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 63\n  - Sustainability compliance rating: 56\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 16 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 63\n  - Sustainability compliance rating: 56\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 96 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 63\n  - Sustainability compliance rating: 56\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 16.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 63\n  - Sustainability compliance rating: 56\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 96, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 96.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 55\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 63\n  - Sustainability compliance rating: 56\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 45\n  - Recycling rate index: 32\n  - Emissions intensity rating: 44\n  - Resource recovery score: 34\n  - Environmental management system rating: 35\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #2. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 45\n  - Recycling rate index: 32\n  - Emissions intensity rating: 44\n  - Resource recovery score: 34\n  - Environmental management system rating: 35\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #82. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 45\n  - Recycling rate index: 32\n  - Emissions intensity rating: 44\n  - Resource recovery score: 34\n  - Environmental management system rating: 35\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 2.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 45\n  - Recycling rate index: 32\n  - Emissions intensity rating: 44\n  - Resource recovery score: 34\n  - Environmental management system rating: 35\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 82.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: 45\n  - Recycling rate index: 32\n  - Emissions intensity rating: 44\n  - Resource recovery score: 34\n  - Environmental management system rating: 35\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 62\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 64\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 58\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 25, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 25. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 62\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 64\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 58\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 62\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 64\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 58\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 25, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 25.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 62\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 64\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 58\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 100.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 62\n  - Water reclamation index: 62\n  - Packaging efficiency rating: 64\n  - Supply chain carbon score: 51\n  - Biodiversity impact rating: 58\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 32\n  - Water usage optimization index: 46\n  - Material waste reduction rating: 47\n  - Carbon footprint benchmark score: 32\n  - Sustainability compliance rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 32\n  - Water usage optimization index: 46\n  - Material waste reduction rating: 47\n  - Carbon footprint benchmark score: 32\n  - Sustainability compliance rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 79, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #79. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 32\n  - Water usage optimization index: 46\n  - Material waste reduction rating: 47\n  - Carbon footprint benchmark score: 32\n  - Sustainability compliance rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 0.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 32\n  - Water usage optimization index: 46\n  - Material waste reduction rating: 47\n  - Carbon footprint benchmark score: 32\n  - Sustainability compliance rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-e-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 79, "offset": 40, "difficulty": "easy", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 79.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 32\n  - Water usage optimization index: 46\n  - Material waste reduction rating: 47\n  - Carbon footprint benchmark score: 32\n  - Sustainability compliance rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 42\n  - Emissions intensity rating: 27\n  - Resource recovery score: 65\n  - Environmental management system rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 16 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 42\n  - Emissions intensity rating: 27\n  - Resource recovery score: 65\n  - Environmental management system rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 46 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 42\n  - Emissions intensity rating: 27\n  - Resource recovery score: 65\n  - Environmental management system rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 16.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 42\n  - Emissions intensity rating: 27\n  - Resource recovery score: 65\n  - Environmental management system rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 46, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 46.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 42\n  - Emissions intensity rating: 27\n  - Resource recovery score: 65\n  - Environmental management system rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 31\n  - Biodiversity impact rating: 61\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 28, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #28. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 31\n  - Biodiversity impact rating: 61\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 58, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #58. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 31\n  - Biodiversity impact rating: 61\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 28, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 28.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 31\n  - Biodiversity impact rating: 61\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 58, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 58.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 53\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 31\n  - Biodiversity impact rating: 61\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: 50\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 53\n  - Sustainability compliance rating: 53\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 40. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: 50\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 53\n  - Sustainability compliance rating: 53\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 70. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: 50\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 53\n  - Sustainability compliance rating: 53\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 40.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: 50\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 53\n  - Sustainability compliance rating: 53\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 70.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: 50\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 53\n  - Sustainability compliance rating: 53\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 19\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 66\n  - Environmental management system rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 26, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #26. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 19\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 66\n  - Environmental management system rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #56. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 19\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 66\n  - Environmental management system rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 26, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 26.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 19\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 66\n  - Environmental management system rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 56.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 19\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 66\n  - Environmental management system rating: 64\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 72\n  - Packaging efficiency rating: 44\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 26, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 26 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 72\n  - Packaging efficiency rating: 44\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 56 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 72\n  - Packaging efficiency rating: 44\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 26, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 26.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 72\n  - Packaging efficiency rating: 44\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 56.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 58\n  - Water reclamation index: 72\n  - Packaging efficiency rating: 44\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 51\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 48\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #40. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 51\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 48\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #70. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 51\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 48\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 40.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 51\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 48\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 70.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 61\n  - Water usage optimization index: 51\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 48\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 61\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 41\n  - Environmental management system rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 27. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 61\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 41\n  - Environmental management system rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 57. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 61\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 41\n  - Environmental management system rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 27.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 61\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 41\n  - Environmental management system rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 57.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 44\n  - Recycling rate index: 61\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 41\n  - Environmental management system rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 30\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 48\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #15. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 30\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 48\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 45, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #45. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 30\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 48\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 15.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 30\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 48\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 45, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 45.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Power consumption per unit score: 30\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 48\n  - Supply chain carbon score: 46\n  - Biodiversity impact rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 71\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 30\n  - Sustainability compliance rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 19 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 71\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 30\n  - Sustainability compliance rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 49 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 71\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 30\n  - Sustainability compliance rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 19.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 71\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 30\n  - Sustainability compliance rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 49.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 71\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 41\n  - Carbon footprint benchmark score: 30\n  - Sustainability compliance rating: [data not available]\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 37\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 63\n  - Resource recovery score: 57\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #38. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 37\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 63\n  - Resource recovery score: 57\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #68. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 37\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 63\n  - Resource recovery score: 57\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 38.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 37\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 63\n  - Resource recovery score: 57\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 68, "offset": 15, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 68.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Renewable energy adoption score: 37\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 63\n  - Resource recovery score: 57\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 27\n  - Water reclamation index: 87\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 16. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 27\n  - Water reclamation index: 87\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 66. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 27\n  - Water reclamation index: 87\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 16.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 27\n  - Water reclamation index: 87\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 66.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Power consumption per unit score: 27\n  - Water reclamation index: 87\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 57\n  - Biodiversity impact rating: [data not available]\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 36\n  - Water usage optimization index: 59\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #15. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 36\n  - Water usage optimization index: 59\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #65. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 36\n  - Water usage optimization index: 59\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 15.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 36\n  - Water usage optimization index: 59\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 65.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Energy efficiency audit score: 36\n  - Water usage optimization index: 59\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 65\n  - Sustainability compliance rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 17\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 50\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 37\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 35 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 17\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 50\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 37\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 85 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 17\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 50\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 37\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 35.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 17\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 50\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 37\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 85.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Renewable energy adoption score: 17\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 50\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 37\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 83\n  - Water reclamation index: 53\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 58\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 33, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #33. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 83\n  - Water reclamation index: 53\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 58\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 83, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #83. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 83\n  - Water reclamation index: 53\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 58\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 33, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 33.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 83\n  - Water reclamation index: 53\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 58\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 83, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 83.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Power consumption per unit score: 83\n  - Water reclamation index: 53\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 58\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 24\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 47\n  - Sustainability compliance rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 43. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 24\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 47\n  - Sustainability compliance rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 93. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 24\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 47\n  - Sustainability compliance rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 43.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 24\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 47\n  - Sustainability compliance rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 93, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 93.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 24\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: 47\n  - Sustainability compliance rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 5\n  - Recycling rate index: 89\n  - Emissions intensity rating: 57\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 39, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #39. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 5\n  - Recycling rate index: 89\n  - Emissions intensity rating: 57\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #89. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 5\n  - Recycling rate index: 89\n  - Emissions intensity rating: 57\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 39, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 39.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 5\n  - Recycling rate index: 89\n  - Emissions intensity rating: 57\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 89.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Renewable energy adoption score: 5\n  - Recycling rate index: 89\n  - Emissions intensity rating: 57\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: [data not available]\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: [data not available]\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 66\n  - Supply chain carbon score: 33\n  - Biodiversity impact rating: 76\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 19 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: [data not available]\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 66\n  - Supply chain carbon score: 33\n  - Biodiversity impact rating: 76\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 69 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: [data not available]\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 66\n  - Supply chain carbon score: 33\n  - Biodiversity impact rating: 76\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 19.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: [data not available]\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 66\n  - Supply chain carbon score: 33\n  - Biodiversity impact rating: 76\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 69.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Power consumption per unit score: [data not available]\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 66\n  - Supply chain carbon score: 33\n  - Biodiversity impact rating: 76\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 21\n  - Water usage optimization index: 62\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 69\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 31, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #31. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 21\n  - Water usage optimization index: 62\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 69\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 81, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #81. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 21\n  - Water usage optimization index: 62\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 69\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 31, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 31.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 21\n  - Water usage optimization index: 62\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 69\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 81, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 81.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Energy efficiency audit score: 21\n  - Water usage optimization index: 62\n  - Material waste reduction rating: [data not available]\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 69\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 55\n  - Resource recovery score: 32\n  - Environmental management system rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 36. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 55\n  - Resource recovery score: 32\n  - Environmental management system rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 86. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 55\n  - Resource recovery score: 32\n  - Environmental management system rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 36, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 36.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 55\n  - Resource recovery score: 32\n  - Environmental management system rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 86.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 55\n  - Resource recovery score: 32\n  - Environmental management system rating: 61\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 61\n  - Water reclamation index: 45\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 44\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 7, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #7. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 61\n  - Water reclamation index: 45\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 44\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #57. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 61\n  - Water reclamation index: 45\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 44\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 7, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 7.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 61\n  - Water reclamation index: 45\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 44\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 25, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 57.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Power consumption per unit score: 61\n  - Water reclamation index: 45\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 44\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 78\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 14\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 80\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 25, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 25 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 78\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 14\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 80\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 78\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 14\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 80\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 25, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 25.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 78\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 14\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 80\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 100.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Energy efficiency audit score: 78\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 14\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 80\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 36\n  - Emissions intensity rating: 26\n  - Resource recovery score: 31\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #27. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 36\n  - Emissions intensity rating: 26\n  - Resource recovery score: 31\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 36\n  - Emissions intensity rating: 26\n  - Resource recovery score: 31\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 27.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 36\n  - Emissions intensity rating: 26\n  - Resource recovery score: 31\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 100.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Renewable energy adoption score: [data not available]\n  - Recycling rate index: 36\n  - Emissions intensity rating: 26\n  - Resource recovery score: 31\n  - Environmental management system rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 31, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 65\n  - Biodiversity impact rating: 63\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 24, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 24. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 65\n  - Biodiversity impact rating: 63\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 65\n  - Biodiversity impact rating: 63\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 24, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 24.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 65\n  - Biodiversity impact rating: 63\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 100.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA data center is assessing its energy and resource consumption efficiency. Audit scores (0–100) are as follows.\n\nEvidence:\n  - Power consumption per unit score: 60\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: 65\n  - Biodiversity impact rating: 63\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 63, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 46\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 52\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 59\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #15. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 46\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 52\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 59\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #95. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 46\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 52\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 59\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 15.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 46\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 52\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 59\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 95.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA university campus is reviewing resource consumption patterns. Five independent assessments yielded the following scores.\n\nEvidence:\n  - Energy efficiency audit score: 46\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 52\n  - Carbon footprint benchmark score: [data not available]\n  - Sustainability compliance rating: 59\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 29\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 60\n  - Environmental management system rating: 44\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 0 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 29\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 60\n  - Environmental management system rating: 44\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 76, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 76 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 29\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 60\n  - Environmental management system rating: 44\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 0.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 29\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 60\n  - Environmental management system rating: 44\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 76, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 76.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA municipal utility is evaluating resource management efficiency. Ratings from five evaluation frameworks are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 29\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: [data not available]\n  - Resource recovery score: 60\n  - Environmental management system rating: 44\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 20\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 39\n  - Biodiversity impact rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #21. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 20\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 39\n  - Biodiversity impact rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 20\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 39\n  - Biodiversity impact rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 21.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 20\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 39\n  - Biodiversity impact rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 100.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA commercial real estate portfolio is assessing building resource efficiency. Five audit results are available.\n\nEvidence:\n  - Power consumption per unit score: 20\n  - Water reclamation index: [data not available]\n  - Packaging efficiency rating: 53\n  - Supply chain carbon score: 39\n  - Biodiversity impact rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 43\n  - Carbon footprint benchmark score: 11\n  - Sustainability compliance rating: 44\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 33, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 2. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 43\n  - Carbon footprint benchmark score: 11\n  - Sustainability compliance rating: 44\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 33, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nProcessing note: this document was assigned queue number 82. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 43\n  - Carbon footprint benchmark score: 11\n  - Sustainability compliance rating: 44\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 33, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 2.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 43\n  - Carbon footprint benchmark score: 11\n  - Sustainability compliance rating: 44\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 33, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nSustainability Assessment Background: This resource efficiency evaluation draws on independent audit scores. Comparable organizations show wide variance in efficiency driven by capital investment in efficiency technologies, operational discipline, and regulatory stringency.\n\n[Document 2]\nA preliminary benchmarking study estimated the resource efficiency index at approximately 82.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nA chemical processing facility is reviewing its environmental efficiency performance. The following ratings were collected.\n\nEvidence:\n  - Energy efficiency audit score: [data not available]\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 43\n  - Carbon footprint benchmark score: 11\n  - Sustainability compliance rating: 44\n\nGiven these assessment scores, what is your best estimate for the resource efficiency rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 33, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 93\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 38\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 93\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 38\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nFiling reference: assessment request #80. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 93\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 38\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 0.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 93\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 38\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nConsumption Review Summary: The assessment considers multiple dimensions of resource use. Historical patterns suggest that resource efficiency scores depend on equipment modernization, staff awareness, and the comprehensiveness of monitoring systems.\n\n[Document 2]\nComparable organizations in the sector reported resource efficiency scores near 80.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA hospital network is evaluating resource consumption across its facilities. Five sustainability scores are summarized below.\n\nEvidence:\n  - Renewable energy adoption score: 36\n  - Recycling rate index: [data not available]\n  - Emissions intensity rating: 93\n  - Resource recovery score: [data not available]\n  - Environmental management system rating: 38\n\nEstimate the composite resource efficiency index (0–100) from the data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 37\n  - Water reclamation index: 33\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 46\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 4, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 4 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 37\n  - Water reclamation index: 33\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 46\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 84, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nWorkflow note: this item is entry 84 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 37\n  - Water reclamation index: 33\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 46\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 4, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 4.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 37\n  - Water reclamation index: 33\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 46\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 84, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nEnvironmental Performance Context: This resource consumption assessment evaluates efficiency across energy, water, materials, and emissions dimensions. Comparable facilities demonstrate that efficiency outcomes are jointly determined by technology, management commitment, and external accountability frameworks.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 84.\n\n[Document 3]\nData Collection Procedures: Efficiency data was collected through independent audit instruments with standardized measurement protocols. Quality controls include equipment calibration records, measurement uncertainty documentation, and systematic verification procedures.\n\nAn agricultural cooperative is assessing resource utilization efficiency. Independent audit scores are as follows.\n\nEvidence:\n  - Power consumption per unit score: 37\n  - Water reclamation index: 33\n  - Packaging efficiency rating: [data not available]\n  - Supply chain carbon score: [data not available]\n  - Biodiversity impact rating: 46\n\nWhat overall resource efficiency score (0–100) do you estimate based on these audits?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 66\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 22\n  - Carbon footprint benchmark score: 50\n  - Sustainability compliance rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 3, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #3. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 66\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 22\n  - Carbon footprint benchmark score: 50\n  - Sustainability compliance rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 83, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nAdministrative note: document batch reference #83. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 66\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 22\n  - Carbon footprint benchmark score: 50\n  - Sustainability compliance rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 3, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 3.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 66\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 22\n  - Carbon footprint benchmark score: 50\n  - Sustainability compliance rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-resource_consumption-h-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 83, "offset": 40, "difficulty": "hard", "domain": "resource_consumption", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nResource Efficiency Context: The entity under assessment operates in a sector where resource consumption patterns depend on technology vintage, process design, and regulatory requirements. Sustainability audits typically evaluate energy use, waste generation, and material efficiency.\n\n[Document 2]\nA recent survey of comparable organizations reported a resource efficiency index of approximately 83.\n\n[Document 3]\nAudit Methodology Note: Resource efficiency scores were derived from standardized sustainability audit protocols. All metrics are normalized to a common efficiency scale. Assessment procedures follow established environmental management evaluation frameworks.\n\nA manufacturing plant is evaluating its resource efficiency. Five sustainability audits have been completed.\n\nEvidence:\n  - Energy efficiency audit score: 66\n  - Water usage optimization index: [data not available]\n  - Material waste reduction rating: 22\n  - Carbon footprint benchmark score: 50\n  - Sustainability compliance rating: [data not available]\n\nBased on the audit data, estimate the overall resource efficiency index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 46\n  - Price-value perception rating: 30\n  - Referral likelihood score: 54\n  - Category awareness rating: 66\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 35. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 46\n  - Price-value perception rating: 30\n  - Referral likelihood score: 54\n  - Category awareness rating: 66\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 65. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 46\n  - Price-value perception rating: 30\n  - Referral likelihood score: 54\n  - Category awareness rating: 66\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 35.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 46\n  - Price-value perception rating: 30\n  - Referral likelihood score: 54\n  - Category awareness rating: 66\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 65.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 46\n  - Price-value perception rating: 30\n  - Referral likelihood score: 54\n  - Category awareness rating: 66\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 48\n  - Retail shelf readiness rating: 58\n  - Geographic coverage score: 68\n  - Customer lifetime value predictor: 49\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 42, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #42. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 48\n  - Retail shelf readiness rating: 58\n  - Geographic coverage score: 68\n  - Customer lifetime value predictor: 49\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #72. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 48\n  - Retail shelf readiness rating: 58\n  - Geographic coverage score: 68\n  - Customer lifetime value predictor: 49\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 42, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 42.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 48\n  - Retail shelf readiness rating: 58\n  - Geographic coverage score: 68\n  - Customer lifetime value predictor: 49\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 72.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 48\n  - Retail shelf readiness rating: 58\n  - Geographic coverage score: 68\n  - Customer lifetime value predictor: 49\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 51\n  - Market penetration index: 56\n  - Demographic fit rating: 55\n  - Competitive landscape score: 63\n  - Brand awareness index: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 37, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 37 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 51\n  - Market penetration index: 56\n  - Demographic fit rating: 55\n  - Competitive landscape score: 63\n  - Brand awareness index: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 67, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 67 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 51\n  - Market penetration index: 56\n  - Demographic fit rating: 55\n  - Competitive landscape score: 63\n  - Brand awareness index: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 37, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 37.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 51\n  - Market penetration index: 56\n  - Demographic fit rating: 55\n  - Competitive landscape score: 63\n  - Brand awareness index: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 67, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 67.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 51\n  - Market penetration index: 56\n  - Demographic fit rating: 55\n  - Competitive landscape score: 63\n  - Brand awareness index: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 59\n  - Price-value perception rating: 57\n  - Referral likelihood score: 59\n  - Category awareness rating: 60\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #47. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 59\n  - Price-value perception rating: 57\n  - Referral likelihood score: 59\n  - Category awareness rating: 60\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #77. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 59\n  - Price-value perception rating: 57\n  - Referral likelihood score: 59\n  - Category awareness rating: 60\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 47.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 59\n  - Price-value perception rating: 57\n  - Referral likelihood score: 59\n  - Category awareness rating: 60\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 77.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 47\n  - Channel readiness index: 59\n  - Price-value perception rating: 57\n  - Referral likelihood score: 59\n  - Category awareness rating: 60\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 44\n  - Social media sentiment index: 32\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 38\n  - Customer lifetime value predictor: 47\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 27. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 44\n  - Social media sentiment index: 32\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 38\n  - Customer lifetime value predictor: 47\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 57. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 44\n  - Social media sentiment index: 32\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 38\n  - Customer lifetime value predictor: 47\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 27.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 44\n  - Social media sentiment index: 32\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 38\n  - Customer lifetime value predictor: 47\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 57, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 57.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 44\n  - Social media sentiment index: 32\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 38\n  - Customer lifetime value predictor: 47\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 60\n  - Market penetration index: 62\n  - Demographic fit rating: 66\n  - Competitive landscape score: 63\n  - Brand awareness index: 54\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #46. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 60\n  - Market penetration index: 62\n  - Demographic fit rating: 66\n  - Competitive landscape score: 63\n  - Brand awareness index: 54\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 76, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #76. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 60\n  - Market penetration index: 62\n  - Demographic fit rating: 66\n  - Competitive landscape score: 63\n  - Brand awareness index: 54\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 46, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 46.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 60\n  - Market penetration index: 62\n  - Demographic fit rating: 66\n  - Competitive landscape score: 63\n  - Brand awareness index: 54\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 76, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 76.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 60\n  - Market penetration index: 62\n  - Demographic fit rating: 66\n  - Competitive landscape score: 63\n  - Brand awareness index: 54\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: 38\n  - Channel readiness index: 46\n  - Price-value perception rating: 24\n  - Referral likelihood score: 40\n  - Category awareness rating: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 23 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: 38\n  - Channel readiness index: 46\n  - Price-value perception rating: 24\n  - Referral likelihood score: 40\n  - Category awareness rating: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 53, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 53 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: 38\n  - Channel readiness index: 46\n  - Price-value perception rating: 24\n  - Referral likelihood score: 40\n  - Category awareness rating: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 23.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: 38\n  - Channel readiness index: 46\n  - Price-value perception rating: 24\n  - Referral likelihood score: 40\n  - Category awareness rating: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 53, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 53.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: 38\n  - Channel readiness index: 46\n  - Price-value perception rating: 24\n  - Referral likelihood score: 40\n  - Category awareness rating: 40\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 70\n  - Social media sentiment index: 65\n  - Retail shelf readiness rating: 73\n  - Geographic coverage score: 62\n  - Customer lifetime value predictor: 70\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 55, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #55. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 70\n  - Social media sentiment index: 65\n  - Retail shelf readiness rating: 73\n  - Geographic coverage score: 62\n  - Customer lifetime value predictor: 70\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #85. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 70\n  - Social media sentiment index: 65\n  - Retail shelf readiness rating: 73\n  - Geographic coverage score: 62\n  - Customer lifetime value predictor: 70\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 55, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 55.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 70\n  - Social media sentiment index: 65\n  - Retail shelf readiness rating: 73\n  - Geographic coverage score: 62\n  - Customer lifetime value predictor: 70\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 85.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 70\n  - Social media sentiment index: 65\n  - Retail shelf readiness rating: 73\n  - Geographic coverage score: 62\n  - Customer lifetime value predictor: 70\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 55\n  - Market penetration index: 63\n  - Demographic fit rating: 38\n  - Competitive landscape score: 39\n  - Brand awareness index: 54\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 29. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 55\n  - Market penetration index: 63\n  - Demographic fit rating: 38\n  - Competitive landscape score: 39\n  - Brand awareness index: 54\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 59. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 55\n  - Market penetration index: 63\n  - Demographic fit rating: 38\n  - Competitive landscape score: 39\n  - Brand awareness index: 54\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 29.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 55\n  - Market penetration index: 63\n  - Demographic fit rating: 38\n  - Competitive landscape score: 39\n  - Brand awareness index: 54\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 59.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 55\n  - Market penetration index: 63\n  - Demographic fit rating: 38\n  - Competitive landscape score: 39\n  - Brand awareness index: 54\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 31\n  - Channel readiness index: 32\n  - Price-value perception rating: 38\n  - Referral likelihood score: 39\n  - Category awareness rating: 41\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 17, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #17. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 31\n  - Channel readiness index: 32\n  - Price-value perception rating: 38\n  - Referral likelihood score: 39\n  - Category awareness rating: 41\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #47. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 31\n  - Channel readiness index: 32\n  - Price-value perception rating: 38\n  - Referral likelihood score: 39\n  - Category awareness rating: 41\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 17, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 17.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 31\n  - Channel readiness index: 32\n  - Price-value perception rating: 38\n  - Referral likelihood score: 39\n  - Category awareness rating: 41\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-market_demographics-e-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 47, "offset": 15, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 47.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 31\n  - Channel readiness index: 32\n  - Price-value perception rating: 38\n  - Referral likelihood score: 39\n  - Category awareness rating: 41\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: 33\n  - Social media sentiment index: 33\n  - Retail shelf readiness rating: 27\n  - Geographic coverage score: 24\n  - Customer lifetime value predictor: 31\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 5 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: 33\n  - Social media sentiment index: 33\n  - Retail shelf readiness rating: 27\n  - Geographic coverage score: 24\n  - Customer lifetime value predictor: 31\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 55 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: 33\n  - Social media sentiment index: 33\n  - Retail shelf readiness rating: 27\n  - Geographic coverage score: 24\n  - Customer lifetime value predictor: 31\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 5.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: 33\n  - Social media sentiment index: 33\n  - Retail shelf readiness rating: 27\n  - Geographic coverage score: 24\n  - Customer lifetime value predictor: 31\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 55, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 55.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: 33\n  - Social media sentiment index: 33\n  - Retail shelf readiness rating: 27\n  - Geographic coverage score: 24\n  - Customer lifetime value predictor: 31\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 30, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: 46\n  - Market penetration index: 50\n  - Demographic fit rating: 33\n  - Competitive landscape score: 33\n  - Brand awareness index: 42\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #12. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: 46\n  - Market penetration index: 50\n  - Demographic fit rating: 33\n  - Competitive landscape score: 33\n  - Brand awareness index: 42\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #62. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: 46\n  - Market penetration index: 50\n  - Demographic fit rating: 33\n  - Competitive landscape score: 33\n  - Brand awareness index: 42\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 12.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: 46\n  - Market penetration index: 50\n  - Demographic fit rating: 33\n  - Competitive landscape score: 33\n  - Brand awareness index: 42\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 62.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: 46\n  - Market penetration index: 50\n  - Demographic fit rating: 33\n  - Competitive landscape score: 33\n  - Brand awareness index: 42\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: 71\n  - Channel readiness index: 55\n  - Price-value perception rating: 69\n  - Referral likelihood score: 58\n  - Category awareness rating: 58\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 41, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 41. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: 71\n  - Channel readiness index: 55\n  - Price-value perception rating: 69\n  - Referral likelihood score: 58\n  - Category awareness rating: 58\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 91, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 91. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: 71\n  - Channel readiness index: 55\n  - Price-value perception rating: 69\n  - Referral likelihood score: 58\n  - Category awareness rating: 58\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 41, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 41.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: 71\n  - Channel readiness index: 55\n  - Price-value perception rating: 69\n  - Referral likelihood score: 58\n  - Category awareness rating: 58\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 91, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 91.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: 71\n  - Channel readiness index: 55\n  - Price-value perception rating: 69\n  - Referral likelihood score: 58\n  - Category awareness rating: 58\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 37\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 35\n  - Geographic coverage score: 42\n  - Customer lifetime value predictor: 46\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #21. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 37\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 35\n  - Geographic coverage score: 42\n  - Customer lifetime value predictor: 46\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #71. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 37\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 35\n  - Geographic coverage score: 42\n  - Customer lifetime value predictor: 46\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 21.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 37\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 35\n  - Geographic coverage score: 42\n  - Customer lifetime value predictor: 46\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 71.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 37\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 35\n  - Geographic coverage score: 42\n  - Customer lifetime value predictor: 46\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: 72\n  - Market penetration index: 57\n  - Demographic fit rating: 61\n  - Competitive landscape score: 52\n  - Brand awareness index: 69\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 37, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 37 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: 72\n  - Market penetration index: 57\n  - Demographic fit rating: 61\n  - Competitive landscape score: 52\n  - Brand awareness index: 69\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 87 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: 72\n  - Market penetration index: 57\n  - Demographic fit rating: 61\n  - Competitive landscape score: 52\n  - Brand awareness index: 69\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 37, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 37.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: 72\n  - Market penetration index: 57\n  - Demographic fit rating: 61\n  - Competitive landscape score: 52\n  - Brand awareness index: 69\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 87.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: 72\n  - Market penetration index: 57\n  - Demographic fit rating: 61\n  - Competitive landscape score: 52\n  - Brand awareness index: 69\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 40\n  - Channel readiness index: 54\n  - Price-value perception rating: 51\n  - Referral likelihood score: 46\n  - Category awareness rating: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #14. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 40\n  - Channel readiness index: 54\n  - Price-value perception rating: 51\n  - Referral likelihood score: 46\n  - Category awareness rating: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #64. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 40\n  - Channel readiness index: 54\n  - Price-value perception rating: 51\n  - Referral likelihood score: 46\n  - Category awareness rating: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 14.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 40\n  - Channel readiness index: 54\n  - Price-value perception rating: 51\n  - Referral likelihood score: 46\n  - Category awareness rating: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 64.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 40\n  - Channel readiness index: 54\n  - Price-value perception rating: 51\n  - Referral likelihood score: 46\n  - Category awareness rating: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 45\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 45\n  - Customer lifetime value predictor: 41\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 18. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 45\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 45\n  - Customer lifetime value predictor: 41\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 68, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 68. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 45\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 45\n  - Customer lifetime value predictor: 41\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 18.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 45\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 45\n  - Customer lifetime value predictor: 41\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 68, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 68.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 45\n  - Retail shelf readiness rating: 42\n  - Geographic coverage score: 45\n  - Customer lifetime value predictor: 41\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 37\n  - Market penetration index: 32\n  - Demographic fit rating: 38\n  - Competitive landscape score: 38\n  - Brand awareness index: 31\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #9. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 37\n  - Market penetration index: 32\n  - Demographic fit rating: 38\n  - Competitive landscape score: 38\n  - Brand awareness index: 31\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #59. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 37\n  - Market penetration index: 32\n  - Demographic fit rating: 38\n  - Competitive landscape score: 38\n  - Brand awareness index: 31\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 9.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 37\n  - Market penetration index: 32\n  - Demographic fit rating: 38\n  - Competitive landscape score: 38\n  - Brand awareness index: 31\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 59.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 37\n  - Market penetration index: 32\n  - Demographic fit rating: 38\n  - Competitive landscape score: 38\n  - Brand awareness index: 31\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 59\n  - Channel readiness index: 62\n  - Price-value perception rating: 59\n  - Referral likelihood score: 55\n  - Category awareness rating: 67\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 40 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 59\n  - Channel readiness index: 62\n  - Price-value perception rating: 59\n  - Referral likelihood score: 55\n  - Category awareness rating: 67\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 90, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 90 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 59\n  - Channel readiness index: 62\n  - Price-value perception rating: 59\n  - Referral likelihood score: 55\n  - Category awareness rating: 67\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 40.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 59\n  - Channel readiness index: 62\n  - Price-value perception rating: 59\n  - Referral likelihood score: 55\n  - Category awareness rating: 67\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 90, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 90.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 59\n  - Channel readiness index: 62\n  - Price-value perception rating: 59\n  - Referral likelihood score: 55\n  - Category awareness rating: 67\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: 45\n  - Social media sentiment index: 42\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 43\n  - Customer lifetime value predictor: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #19. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: 45\n  - Social media sentiment index: 42\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 43\n  - Customer lifetime value predictor: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #69. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: 45\n  - Social media sentiment index: 42\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 43\n  - Customer lifetime value predictor: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 19.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: 45\n  - Social media sentiment index: 42\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 43\n  - Customer lifetime value predictor: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 69.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: 45\n  - Social media sentiment index: 42\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 43\n  - Customer lifetime value predictor: 37\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 44\n  - Market penetration index: 39\n  - Demographic fit rating: 38\n  - Competitive landscape score: 33\n  - Brand awareness index: 36\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 44\n  - Market penetration index: 39\n  - Demographic fit rating: 38\n  - Competitive landscape score: 33\n  - Brand awareness index: 36\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 78. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 44\n  - Market penetration index: 39\n  - Demographic fit rating: 38\n  - Competitive landscape score: 33\n  - Brand awareness index: 36\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 0.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 44\n  - Market penetration index: 39\n  - Demographic fit rating: 38\n  - Competitive landscape score: 33\n  - Brand awareness index: 36\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 78.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 44\n  - Market penetration index: 39\n  - Demographic fit rating: 38\n  - Competitive landscape score: 33\n  - Brand awareness index: 36\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: 11\n  - Price-value perception rating: 36\n  - Referral likelihood score: 29\n  - Category awareness rating: 47\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: 11\n  - Price-value perception rating: 36\n  - Referral likelihood score: 29\n  - Category awareness rating: 47\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 71, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #71. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: 11\n  - Price-value perception rating: 36\n  - Referral likelihood score: 29\n  - Category awareness rating: 47\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 0.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: 11\n  - Price-value perception rating: 36\n  - Referral likelihood score: 29\n  - Category awareness rating: 47\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 71, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 71.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: 11\n  - Price-value perception rating: 36\n  - Referral likelihood score: 29\n  - Category awareness rating: 47\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 32, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 67\n  - Social media sentiment index: 74\n  - Retail shelf readiness rating: 69\n  - Geographic coverage score: 74\n  - Customer lifetime value predictor: 75\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 27, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 27 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 67\n  - Social media sentiment index: 74\n  - Retail shelf readiness rating: 69\n  - Geographic coverage score: 74\n  - Customer lifetime value predictor: 75\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 67\n  - Social media sentiment index: 74\n  - Retail shelf readiness rating: 69\n  - Geographic coverage score: 74\n  - Customer lifetime value predictor: 75\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 27, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 27.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 67\n  - Social media sentiment index: 74\n  - Retail shelf readiness rating: 69\n  - Geographic coverage score: 74\n  - Customer lifetime value predictor: 75\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 100.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 67\n  - Social media sentiment index: 74\n  - Retail shelf readiness rating: 69\n  - Geographic coverage score: 74\n  - Customer lifetime value predictor: 75\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: 25\n  - Market penetration index: 39\n  - Demographic fit rating: 40\n  - Competitive landscape score: 41\n  - Brand awareness index: 27\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: 25\n  - Market penetration index: 39\n  - Demographic fit rating: 40\n  - Competitive landscape score: 41\n  - Brand awareness index: 27\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 72, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #72. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: 25\n  - Market penetration index: 39\n  - Demographic fit rating: 40\n  - Competitive landscape score: 41\n  - Brand awareness index: 27\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 0.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: 25\n  - Market penetration index: 39\n  - Demographic fit rating: 40\n  - Competitive landscape score: 41\n  - Brand awareness index: 27\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 72, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 72.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: 25\n  - Market penetration index: 39\n  - Demographic fit rating: 40\n  - Competitive landscape score: 41\n  - Brand awareness index: 27\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 62\n  - Price-value perception rating: 57\n  - Referral likelihood score: 57\n  - Category awareness rating: 61\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 19. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 62\n  - Price-value perception rating: 57\n  - Referral likelihood score: 57\n  - Category awareness rating: 61\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 99. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 62\n  - Price-value perception rating: 57\n  - Referral likelihood score: 57\n  - Category awareness rating: 61\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 19.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 62\n  - Price-value perception rating: 57\n  - Referral likelihood score: 57\n  - Category awareness rating: 61\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 99.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 62\n  - Price-value perception rating: 57\n  - Referral likelihood score: 57\n  - Category awareness rating: 61\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 58\n  - Social media sentiment index: 56\n  - Retail shelf readiness rating: 50\n  - Geographic coverage score: 56\n  - Customer lifetime value predictor: 67\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #21. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 58\n  - Social media sentiment index: 56\n  - Retail shelf readiness rating: 50\n  - Geographic coverage score: 56\n  - Customer lifetime value predictor: 67\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #100. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 58\n  - Social media sentiment index: 56\n  - Retail shelf readiness rating: 50\n  - Geographic coverage score: 56\n  - Customer lifetime value predictor: 67\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 21.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 58\n  - Social media sentiment index: 56\n  - Retail shelf readiness rating: 50\n  - Geographic coverage score: 56\n  - Customer lifetime value predictor: 67\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 100.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: 58\n  - Social media sentiment index: 56\n  - Retail shelf readiness rating: 50\n  - Geographic coverage score: 56\n  - Customer lifetime value predictor: 67\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 57, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 66\n  - Market penetration index: 58\n  - Demographic fit rating: 55\n  - Competitive landscape score: 60\n  - Brand awareness index: 61\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 15 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 66\n  - Market penetration index: 58\n  - Demographic fit rating: 55\n  - Competitive landscape score: 60\n  - Brand awareness index: 61\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 95 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 66\n  - Market penetration index: 58\n  - Demographic fit rating: 55\n  - Competitive landscape score: 60\n  - Brand awareness index: 61\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 15.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 66\n  - Market penetration index: 58\n  - Demographic fit rating: 55\n  - Competitive landscape score: 60\n  - Brand awareness index: 61\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 95.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 66\n  - Market penetration index: 58\n  - Demographic fit rating: 55\n  - Competitive landscape score: 60\n  - Brand awareness index: 61\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 71\n  - Price-value perception rating: 69\n  - Referral likelihood score: 45\n  - Category awareness rating: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #22. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 71\n  - Price-value perception rating: 69\n  - Referral likelihood score: 45\n  - Category awareness rating: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 71\n  - Price-value perception rating: 69\n  - Referral likelihood score: 45\n  - Category awareness rating: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 22.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 71\n  - Price-value perception rating: 69\n  - Referral likelihood score: 45\n  - Category awareness rating: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 100.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 60\n  - Channel readiness index: 71\n  - Price-value perception rating: 69\n  - Referral likelihood score: 45\n  - Category awareness rating: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 62, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 34\n  - Retail shelf readiness rating: 13\n  - Geographic coverage score: 39\n  - Customer lifetime value predictor: 31\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 34\n  - Retail shelf readiness rating: 13\n  - Geographic coverage score: 39\n  - Customer lifetime value predictor: 31\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 74. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 34\n  - Retail shelf readiness rating: 13\n  - Geographic coverage score: 39\n  - Customer lifetime value predictor: 31\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 0.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 34\n  - Retail shelf readiness rating: 13\n  - Geographic coverage score: 39\n  - Customer lifetime value predictor: 31\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 74.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 34\n  - Retail shelf readiness rating: 13\n  - Geographic coverage score: 39\n  - Customer lifetime value predictor: 31\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 39\n  - Market penetration index: 48\n  - Demographic fit rating: 39\n  - Competitive landscape score: 53\n  - Brand awareness index: 57\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #12. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 39\n  - Market penetration index: 48\n  - Demographic fit rating: 39\n  - Competitive landscape score: 53\n  - Brand awareness index: 57\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #92. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 39\n  - Market penetration index: 48\n  - Demographic fit rating: 39\n  - Competitive landscape score: 53\n  - Brand awareness index: 57\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 12.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 39\n  - Market penetration index: 48\n  - Demographic fit rating: 39\n  - Competitive landscape score: 53\n  - Brand awareness index: 57\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-e-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "easy", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 92.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 39\n  - Market penetration index: 48\n  - Demographic fit rating: 39\n  - Competitive landscape score: 53\n  - Brand awareness index: 57\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 10\n  - Price-value perception rating: 80\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 79\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 47 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 10\n  - Price-value perception rating: 80\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 79\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 77 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 10\n  - Price-value perception rating: 80\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 79\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 47.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 10\n  - Price-value perception rating: 80\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 79\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 77.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 10\n  - Price-value perception rating: 80\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 79\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 29\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 52\n  - Customer lifetime value predictor: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #32. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 29\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 52\n  - Customer lifetime value predictor: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #62. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 29\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 52\n  - Customer lifetime value predictor: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 32.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 29\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 52\n  - Customer lifetime value predictor: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 62.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 29\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 52\n  - Customer lifetime value predictor: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 21\n  - Competitive landscape score: 71\n  - Brand awareness index: 52\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 44. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 21\n  - Competitive landscape score: 71\n  - Brand awareness index: 52\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 74. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 21\n  - Competitive landscape score: 71\n  - Brand awareness index: 52\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 44.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 21\n  - Competitive landscape score: 71\n  - Brand awareness index: 52\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 74.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 21\n  - Competitive landscape score: 71\n  - Brand awareness index: 52\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 64\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 67\n  - Referral likelihood score: 13\n  - Category awareness rating: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #52. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 64\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 67\n  - Referral likelihood score: 13\n  - Category awareness rating: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #82. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 64\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 67\n  - Referral likelihood score: 13\n  - Category awareness rating: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 52.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 64\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 67\n  - Referral likelihood score: 13\n  - Category awareness rating: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 82.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 64\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 67\n  - Referral likelihood score: 13\n  - Category awareness rating: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 41\n  - Geographic coverage score: 73\n  - Customer lifetime value predictor: 54\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 30 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 41\n  - Geographic coverage score: 73\n  - Customer lifetime value predictor: 54\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 60, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 60 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 41\n  - Geographic coverage score: 73\n  - Customer lifetime value predictor: 54\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 30.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 41\n  - Geographic coverage score: 73\n  - Customer lifetime value predictor: 54\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 60, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 60.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 41\n  - Geographic coverage score: 73\n  - Customer lifetime value predictor: 54\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 61\n  - Demographic fit rating: 63\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #30. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 61\n  - Demographic fit rating: 63\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 60, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #60. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 61\n  - Demographic fit rating: 63\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 30.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 61\n  - Demographic fit rating: 63\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 60, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 60.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 61\n  - Demographic fit rating: 63\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 67\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 35\n  - Price-value perception rating: 43\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 73\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 18. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 35\n  - Price-value perception rating: 43\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 73\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 48. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 35\n  - Price-value perception rating: 43\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 73\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 18.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 35\n  - Price-value perception rating: 43\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 73\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 48.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 35\n  - Price-value perception rating: 43\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 73\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 39\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: [data not available]\n  - Customer lifetime value predictor: 37\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #30. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 39\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: [data not available]\n  - Customer lifetime value predictor: 37\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 60, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #60. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 39\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: [data not available]\n  - Customer lifetime value predictor: 37\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 30.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 39\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: [data not available]\n  - Customer lifetime value predictor: 37\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 60, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 60.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Trial conversion score: 42\n  - Social media sentiment index: 39\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: [data not available]\n  - Customer lifetime value predictor: 37\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 55\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 33\n  - Brand awareness index: 48\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 48 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 55\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 33\n  - Brand awareness index: 48\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 78 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 55\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 33\n  - Brand awareness index: 48\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 48.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 55\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 33\n  - Brand awareness index: 48\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 78.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 55\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 33\n  - Brand awareness index: 48\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 46\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #19. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 46\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #49. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 46\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 19.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 46\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 49, "offset": 15, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 49.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Purchase intent score: 36\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 46\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 60\n  - Customer lifetime value predictor: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 39, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 39. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 60\n  - Customer lifetime value predictor: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 89, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 89. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 60\n  - Customer lifetime value predictor: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 39, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 39.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 60\n  - Customer lifetime value predictor: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 89, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 89.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 60\n  - Customer lifetime value predictor: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 58\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 42\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 40\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 8, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #8. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 58\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 42\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 40\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 58, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #58. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 58\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 42\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 40\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 8, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 8.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 58\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 42\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 40\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 58, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 58.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Early adopter survey score: 58\n  - Market penetration index: [data not available]\n  - Demographic fit rating: 42\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 40\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 41\n  - Channel readiness index: 42\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 47\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 13, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 13 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 41\n  - Channel readiness index: 42\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 47\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 63, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 63 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 41\n  - Channel readiness index: 42\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 47\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 13, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 13.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 41\n  - Channel readiness index: 42\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 47\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 63, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 63.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Purchase intent score: 41\n  - Channel readiness index: 42\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 47\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 74\n  - Geographic coverage score: 41\n  - Customer lifetime value predictor: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #32. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 74\n  - Geographic coverage score: 41\n  - Customer lifetime value predictor: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #82. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 74\n  - Geographic coverage score: 41\n  - Customer lifetime value predictor: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 32.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 74\n  - Geographic coverage score: 41\n  - Customer lifetime value predictor: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 82.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 74\n  - Geographic coverage score: 41\n  - Customer lifetime value predictor: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 61, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 24\n  - Market penetration index: 52\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 48\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 11, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 11. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 24\n  - Market penetration index: 52\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 48\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 61, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 61. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 24\n  - Market penetration index: 52\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 48\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 11, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 11.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 24\n  - Market penetration index: 52\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 48\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 61, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 61.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Early adopter survey score: 24\n  - Market penetration index: 52\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 48\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 97\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 45\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 35\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 40, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #40. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 97\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 45\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 35\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 90, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #90. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 97\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 45\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 35\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 40, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 40.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 97\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 45\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 35\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 90, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 90.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Purchase intent score: 97\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 45\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 35\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 60\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 40\n  - Customer lifetime value predictor: [data not available]\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 8, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 8 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 60\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 40\n  - Customer lifetime value predictor: [data not available]\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 58, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 58 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 60\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 40\n  - Customer lifetime value predictor: [data not available]\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 8, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 8.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 60\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 40\n  - Customer lifetime value predictor: [data not available]\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 58, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 58.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Trial conversion score: 27\n  - Social media sentiment index: 60\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 40\n  - Customer lifetime value predictor: [data not available]\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 42, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 24\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 46\n  - Brand awareness index: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 10, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #10. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 24\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 46\n  - Brand awareness index: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 60, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #60. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 24\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 46\n  - Brand awareness index: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 10, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 10.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 24\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 46\n  - Brand awareness index: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 60, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 60.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 24\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 46\n  - Brand awareness index: 69\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 63\n  - Price-value perception rating: 15\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 38. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 63\n  - Price-value perception rating: 15\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 88. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 63\n  - Price-value perception rating: 15\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 38.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 63\n  - Price-value perception rating: 15\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 88.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 63\n  - Price-value perception rating: 15\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 70\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 39\n  - Geographic coverage score: 90\n  - Customer lifetime value predictor: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #14. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 39\n  - Geographic coverage score: 90\n  - Customer lifetime value predictor: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #64. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 39\n  - Geographic coverage score: 90\n  - Customer lifetime value predictor: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 14, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 14.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 39\n  - Geographic coverage score: 90\n  - Customer lifetime value predictor: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-h-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 64, "offset": 25, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 64.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 51\n  - Retail shelf readiness rating: 39\n  - Geographic coverage score: 90\n  - Customer lifetime value predictor: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 54\n  - Market penetration index: 9\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 41\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 2 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 54\n  - Market penetration index: 9\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 41\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 82 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 54\n  - Market penetration index: 9\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 41\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 2.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 54\n  - Market penetration index: 9\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 41\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 82.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Early adopter survey score: 54\n  - Market penetration index: 9\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 41\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 61\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 38\n  - Referral likelihood score: 43\n  - Category awareness rating: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 24, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #24. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 61\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 38\n  - Referral likelihood score: 43\n  - Category awareness rating: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 61\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 38\n  - Referral likelihood score: 43\n  - Category awareness rating: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 24, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 24.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 61\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 38\n  - Referral likelihood score: 43\n  - Category awareness rating: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 100.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Purchase intent score: 61\n  - Channel readiness index: [data not available]\n  - Price-value perception rating: 38\n  - Referral likelihood score: 43\n  - Category awareness rating: [data not available]\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 72\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 55\n  - Customer lifetime value predictor: [data not available]\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 23. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 72\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 55\n  - Customer lifetime value predictor: [data not available]\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 72\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 55\n  - Customer lifetime value predictor: [data not available]\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 23.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 72\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 55\n  - Customer lifetime value predictor: [data not available]\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 100.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA sustainable fashion brand is assessing market readiness for a new product line. Survey scores are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 72\n  - Retail shelf readiness rating: 34\n  - Geographic coverage score: 55\n  - Customer lifetime value predictor: [data not available]\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 65\n  - Market penetration index: 62\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 38\n  - Brand awareness index: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 11, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #11. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 65\n  - Market penetration index: 62\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 38\n  - Brand awareness index: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 91, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #91. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 65\n  - Market penetration index: 62\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 38\n  - Brand awareness index: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 11, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 11.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 65\n  - Market penetration index: 62\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 38\n  - Brand awareness index: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 91, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 91.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA food delivery service is estimating adoption potential in a new metropolitan area. Five market indicators were collected.\n\nEvidence:\n  - Early adopter survey score: 65\n  - Market penetration index: 62\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: 38\n  - Brand awareness index: [data not available]\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 39\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 6 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 39\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 86 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 39\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 6.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 39\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 86.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA fitness technology company is evaluating demand for a wearable health device. Research scores are as follows.\n\nEvidence:\n  - Purchase intent score: [data not available]\n  - Channel readiness index: 39\n  - Price-value perception rating: 68\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 15\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 67\n  - Customer lifetime value predictor: 32\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #7. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 15\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 67\n  - Customer lifetime value predictor: 32\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #87. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 15\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 67\n  - Customer lifetime value predictor: 32\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 7, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 7.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 15\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 67\n  - Customer lifetime value predictor: 32\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 87, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 87.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA startup is evaluating the adoption potential for a new mobile app in a target demographic. Five market research signals are summarized below.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: 15\n  - Retail shelf readiness rating: [data not available]\n  - Geographic coverage score: 67\n  - Customer lifetime value predictor: 32\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 45\n  - Market penetration index: 58\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 51\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 30, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 30. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 45\n  - Market penetration index: 58\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 51\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 45\n  - Market penetration index: 58\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 51\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 30, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 30.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 45\n  - Market penetration index: 58\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 51\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nDemographics Assessment Background: This market adoption evaluation draws on survey-based and behavioral research data. Comparable product launches in this segment show that adoption outcomes are influenced by product-market fit, pricing strategy, and marketing channel selection.\n\n[Document 2]\nA preliminary benchmarking study estimated the adoption index at approximately 100.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA consumer electronics company is assessing product-market fit. Independent research scores (0–100) are as follows.\n\nEvidence:\n  - Early adopter survey score: 45\n  - Market penetration index: 58\n  - Demographic fit rating: [data not available]\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 51\n\nGiven the market data above, what is your best estimate for the adoption index (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 51, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 62\n  - Channel readiness index: 55\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 75\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #18. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 62\n  - Channel readiness index: 55\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 75\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nFiling reference: assessment request #98. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 62\n  - Channel readiness index: 55\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 75\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 18.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 62\n  - Channel readiness index: 55\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 75\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nAdoption Research Summary: The assessment evaluates adoption potential using multiple independent research signals. Historical patterns suggest that adoption indices in this category are driven by demographic alignment, competitive positioning, and distribution reach.\n\n[Document 2]\nComparable organizations in the sector reported adoption scores near 98.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nA fintech firm is gauging adoption likelihood for a digital banking product. Five survey-based indicators are available.\n\nEvidence:\n  - Purchase intent score: 62\n  - Channel readiness index: 55\n  - Price-value perception rating: [data not available]\n  - Referral likelihood score: [data not available]\n  - Category awareness rating: 75\n\nEstimate the composite market adoption score (0–100) from the indicators provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 54\n  - Geographic coverage score: 26\n  - Customer lifetime value predictor: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 12 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 54\n  - Geographic coverage score: 26\n  - Customer lifetime value predictor: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nWorkflow note: this item is entry 92 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 54\n  - Geographic coverage score: 26\n  - Customer lifetime value predictor: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 12, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 12.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 54\n  - Geographic coverage score: 26\n  - Customer lifetime value predictor: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Readiness Context: This adoption potential assessment considers demographic fit, brand awareness, and competitive dynamics. Comparable market entries indicate that adoption trajectories depend on timing, channel strategy, and the strength of the value proposition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 92.\n\n[Document 3]\nData Collection Procedures: Adoption research data was gathered through independent survey channels with standardized administration. Quality assurance includes respondent validation, sample representativeness checks, and systematic documentation of research conditions.\n\nA health-tech company is estimating patient adoption potential for a new telehealth platform. Market research scores are summarized.\n\nEvidence:\n  - Trial conversion score: [data not available]\n  - Social media sentiment index: [data not available]\n  - Retail shelf readiness rating: 54\n  - Geographic coverage score: 26\n  - Customer lifetime value predictor: 55\n\nWhat overall adoption potential index (0–100) do you estimate based on these signals?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 20\n  - Demographic fit rating: 32\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 49\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 20\n  - Demographic fit rating: 32\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 49\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nAdministrative note: document batch reference #73. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 20\n  - Demographic fit rating: 32\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 49\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 0.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 20\n  - Demographic fit rating: 32\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 49\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-market_demographics-h-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "hard", "domain": "market_demographics", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nMarket Adoption Context: The product under assessment targets a demographic segment where adoption depends on market readiness, competitive alternatives, and distribution channel effectiveness. Research instruments capture signals from early adopters, market penetration data, and brand recognition.\n\n[Document 2]\nA recent survey of comparable organizations reported a adoption index of approximately 73.\n\n[Document 3]\nResearch Methodology Note: Market adoption signals were collected using standardized survey instruments and behavioral analytics. All scores are normalized to a common adoption readiness scale. Research protocols follow established market analysis guidelines.\n\nAn edtech startup is evaluating adoption potential for an AI tutoring platform. Five research signals are available.\n\nEvidence:\n  - Early adopter survey score: [data not available]\n  - Market penetration index: 20\n  - Demographic fit rating: 32\n  - Competitive landscape score: [data not available]\n  - Brand awareness index: 49\n\nBased on these research signals, estimate the overall market adoption potential (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 65\n  - Training completion index: 50\n  - Incident response rating: 67\n  - Documentation compliance score: 58\n  - External audit readiness rating: 59\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 43, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 43. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 65\n  - Training completion index: 50\n  - Incident response rating: 67\n  - Documentation compliance score: 58\n  - External audit readiness rating: 59\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 73. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 65\n  - Training completion index: 50\n  - Incident response rating: 67\n  - Documentation compliance score: 58\n  - External audit readiness rating: 59\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 43, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 43.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 65\n  - Training completion index: 50\n  - Incident response rating: 67\n  - Documentation compliance score: 58\n  - External audit readiness rating: 59\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 73.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 65\n  - Training completion index: 50\n  - Incident response rating: 67\n  - Documentation compliance score: 58\n  - External audit readiness rating: 59\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 42\n  - Whistleblower program index: 51\n  - Data privacy compliance rating: 47\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 47\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 34, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #34. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 42\n  - Whistleblower program index: 51\n  - Data privacy compliance rating: 47\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 47\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 64, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #64. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 42\n  - Whistleblower program index: 51\n  - Data privacy compliance rating: 47\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 47\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 34, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 34.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 42\n  - Whistleblower program index: 51\n  - Data privacy compliance rating: 47\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 47\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 64, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 64.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 42\n  - Whistleblower program index: 51\n  - Data privacy compliance rating: 47\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 47\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 48, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 53\n  - Internal compliance rating: 41\n  - Third-party risk assessment score: 46\n  - Policy adherence index: 40\n  - Historical violation inverse score: 25\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 31, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 31 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 53\n  - Internal compliance rating: 41\n  - Third-party risk assessment score: 46\n  - Policy adherence index: 40\n  - Historical violation inverse score: 25\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 61, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 61 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 53\n  - Internal compliance rating: 41\n  - Third-party risk assessment score: 46\n  - Policy adherence index: 40\n  - Historical violation inverse score: 25\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 31, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 31.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 53\n  - Internal compliance rating: 41\n  - Third-party risk assessment score: 46\n  - Policy adherence index: 40\n  - Historical violation inverse score: 25\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 61, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 61.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 53\n  - Internal compliance rating: 41\n  - Third-party risk assessment score: 46\n  - Policy adherence index: 40\n  - Historical violation inverse score: 25\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 41, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 34\n  - Training completion index: 39\n  - Incident response rating: 41\n  - Documentation compliance score: 38\n  - External audit readiness rating: 45\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #23. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 34\n  - Training completion index: 39\n  - Incident response rating: 41\n  - Documentation compliance score: 38\n  - External audit readiness rating: 45\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 53, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #53. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 34\n  - Training completion index: 39\n  - Incident response rating: 41\n  - Documentation compliance score: 38\n  - External audit readiness rating: 45\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 23.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 34\n  - Training completion index: 39\n  - Incident response rating: 41\n  - Documentation compliance score: 38\n  - External audit readiness rating: 45\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 53, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 53.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 34\n  - Training completion index: 39\n  - Incident response rating: 41\n  - Documentation compliance score: 38\n  - External audit readiness rating: 45\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 45\n  - Whistleblower program index: 46\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: 48\n  - Regulatory change readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 37, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 37. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 45\n  - Whistleblower program index: 46\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: 48\n  - Regulatory change readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 67, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 67. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 45\n  - Whistleblower program index: 46\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: 48\n  - Regulatory change readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 37, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 37.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 45\n  - Whistleblower program index: 46\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: 48\n  - Regulatory change readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 67, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 67.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 45\n  - Whistleblower program index: 46\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: 48\n  - Regulatory change readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 65\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 67\n  - Policy adherence index: 75\n  - Historical violation inverse score: 77\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 69, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #48. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 65\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 67\n  - Policy adherence index: 75\n  - Historical violation inverse score: 77\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 69, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #78. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 65\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 67\n  - Policy adherence index: 75\n  - Historical violation inverse score: 77\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 69, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 48.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 65\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 67\n  - Policy adherence index: 75\n  - Historical violation inverse score: 77\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 69, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 78.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 65\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 67\n  - Policy adherence index: 75\n  - Historical violation inverse score: 77\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 69, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: 33\n  - Training completion index: 42\n  - Incident response rating: 36\n  - Documentation compliance score: 45\n  - External audit readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 22 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: 33\n  - Training completion index: 42\n  - Incident response rating: 36\n  - Documentation compliance score: 45\n  - External audit readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 52 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: 33\n  - Training completion index: 42\n  - Incident response rating: 36\n  - Documentation compliance score: 45\n  - External audit readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 22.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: 33\n  - Training completion index: 42\n  - Incident response rating: 36\n  - Documentation compliance score: 45\n  - External audit readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 52.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: 33\n  - Training completion index: 42\n  - Incident response rating: 36\n  - Documentation compliance score: 45\n  - External audit readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 60\n  - Data privacy compliance rating: 45\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: 57\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #35. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 60\n  - Data privacy compliance rating: 45\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: 57\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #65. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 60\n  - Data privacy compliance rating: 45\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: 57\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 35, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 35.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 60\n  - Data privacy compliance rating: 45\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: 57\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 65.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 60\n  - Data privacy compliance rating: 45\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: 57\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 75\n  - Internal compliance rating: 57\n  - Third-party risk assessment score: 71\n  - Policy adherence index: 70\n  - Historical violation inverse score: 79\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 70, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 48. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 75\n  - Internal compliance rating: 57\n  - Third-party risk assessment score: 71\n  - Policy adherence index: 70\n  - Historical violation inverse score: 79\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 70, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 78. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 75\n  - Internal compliance rating: 57\n  - Third-party risk assessment score: 71\n  - Policy adherence index: 70\n  - Historical violation inverse score: 79\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 70, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 48.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 75\n  - Internal compliance rating: 57\n  - Third-party risk assessment score: 71\n  - Policy adherence index: 70\n  - Historical violation inverse score: 79\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 70, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 78.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 75\n  - Internal compliance rating: 57\n  - Third-party risk assessment score: 71\n  - Policy adherence index: 70\n  - Historical violation inverse score: 79\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 70, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 57\n  - Training completion index: 63\n  - Incident response rating: 80\n  - Documentation compliance score: 51\n  - External audit readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #49. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 57\n  - Training completion index: 63\n  - Incident response rating: 80\n  - Documentation compliance score: 51\n  - External audit readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 79, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #79. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 57\n  - Training completion index: 63\n  - Incident response rating: 80\n  - Documentation compliance score: 51\n  - External audit readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 49, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 49.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 57\n  - Training completion index: 63\n  - Incident response rating: 80\n  - Documentation compliance score: 51\n  - External audit readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 79, "offset": 15, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 79.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 57\n  - Training completion index: 63\n  - Incident response rating: 80\n  - Documentation compliance score: 51\n  - External audit readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 52\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 53\n  - Regulatory change readiness rating: 38\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 23 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 52\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 53\n  - Regulatory change readiness rating: 38\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 73 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 52\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 53\n  - Regulatory change readiness rating: 38\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 23.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 52\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 53\n  - Regulatory change readiness rating: 38\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 73.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 52\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 53\n  - Regulatory change readiness rating: 38\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 35\n  - Internal compliance rating: 42\n  - Third-party risk assessment score: 32\n  - Policy adherence index: 46\n  - Historical violation inverse score: 24\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 10, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #10. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 35\n  - Internal compliance rating: 42\n  - Third-party risk assessment score: 32\n  - Policy adherence index: 46\n  - Historical violation inverse score: 24\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 60, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #60. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 35\n  - Internal compliance rating: 42\n  - Third-party risk assessment score: 32\n  - Policy adherence index: 46\n  - Historical violation inverse score: 24\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 10, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 10.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 35\n  - Internal compliance rating: 42\n  - Third-party risk assessment score: 32\n  - Policy adherence index: 46\n  - Historical violation inverse score: 24\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 60, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 60.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 35\n  - Internal compliance rating: 42\n  - Third-party risk assessment score: 32\n  - Policy adherence index: 46\n  - Historical violation inverse score: 24\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: 66\n  - Training completion index: 74\n  - Incident response rating: 59\n  - Documentation compliance score: 67\n  - External audit readiness rating: 75\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 42, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 42. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: 66\n  - Training completion index: 74\n  - Incident response rating: 59\n  - Documentation compliance score: 67\n  - External audit readiness rating: 75\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 92. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: 66\n  - Training completion index: 74\n  - Incident response rating: 59\n  - Documentation compliance score: 67\n  - External audit readiness rating: 75\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 42, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 42.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: 66\n  - Training completion index: 74\n  - Incident response rating: 59\n  - Documentation compliance score: 67\n  - External audit readiness rating: 75\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 92.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: 66\n  - Training completion index: 74\n  - Incident response rating: 59\n  - Documentation compliance score: 67\n  - External audit readiness rating: 75\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 27\n  - Whistleblower program index: 37\n  - Data privacy compliance rating: 43\n  - Anti-corruption assessment score: 45\n  - Regulatory change readiness rating: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #15. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 27\n  - Whistleblower program index: 37\n  - Data privacy compliance rating: 43\n  - Anti-corruption assessment score: 45\n  - Regulatory change readiness rating: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #65. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 27\n  - Whistleblower program index: 37\n  - Data privacy compliance rating: 43\n  - Anti-corruption assessment score: 45\n  - Regulatory change readiness rating: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 15.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 27\n  - Whistleblower program index: 37\n  - Data privacy compliance rating: 43\n  - Anti-corruption assessment score: 45\n  - Regulatory change readiness rating: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 65.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 27\n  - Whistleblower program index: 37\n  - Data privacy compliance rating: 43\n  - Anti-corruption assessment score: 45\n  - Regulatory change readiness rating: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: 66\n  - Internal compliance rating: 73\n  - Third-party risk assessment score: 88\n  - Policy adherence index: 76\n  - Historical violation inverse score: 58\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 44 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: 66\n  - Internal compliance rating: 73\n  - Third-party risk assessment score: 88\n  - Policy adherence index: 76\n  - Historical violation inverse score: 58\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 94 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: 66\n  - Internal compliance rating: 73\n  - Third-party risk assessment score: 88\n  - Policy adherence index: 76\n  - Historical violation inverse score: 58\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 44.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: 66\n  - Internal compliance rating: 73\n  - Third-party risk assessment score: 88\n  - Policy adherence index: 76\n  - Historical violation inverse score: 58\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 94, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 94.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: 66\n  - Internal compliance rating: 73\n  - Third-party risk assessment score: 88\n  - Policy adherence index: 76\n  - Historical violation inverse score: 58\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 72, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 52\n  - Incident response rating: 54\n  - Documentation compliance score: 44\n  - External audit readiness rating: 63\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #32. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 52\n  - Incident response rating: 54\n  - Documentation compliance score: 44\n  - External audit readiness rating: 63\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #82. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 52\n  - Incident response rating: 54\n  - Documentation compliance score: 44\n  - External audit readiness rating: 63\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 32.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 52\n  - Incident response rating: 54\n  - Documentation compliance score: 44\n  - External audit readiness rating: 63\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 82.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 52\n  - Incident response rating: 54\n  - Documentation compliance score: 44\n  - External audit readiness rating: 63\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 36\n  - Data privacy compliance rating: 44\n  - Anti-corruption assessment score: 29\n  - Regulatory change readiness rating: 38\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 15. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 36\n  - Data privacy compliance rating: 44\n  - Anti-corruption assessment score: 29\n  - Regulatory change readiness rating: 38\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 65. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 36\n  - Data privacy compliance rating: 44\n  - Anti-corruption assessment score: 29\n  - Regulatory change readiness rating: 38\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 15.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 36\n  - Data privacy compliance rating: 44\n  - Anti-corruption assessment score: 29\n  - Regulatory change readiness rating: 38\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 65, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 65.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: 48\n  - Whistleblower program index: 36\n  - Data privacy compliance rating: 44\n  - Anti-corruption assessment score: 29\n  - Regulatory change readiness rating: 38\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: 70\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 59\n  - Historical violation inverse score: 79\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #38. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: 70\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 59\n  - Historical violation inverse score: 79\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #88. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: 70\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 59\n  - Historical violation inverse score: 79\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 38.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: 70\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 59\n  - Historical violation inverse score: 79\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 88.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: 70\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 59\n  - Historical violation inverse score: 79\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 68, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: 51\n  - Training completion index: 41\n  - Incident response rating: 42\n  - Documentation compliance score: 40\n  - External audit readiness rating: 44\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 20, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 20 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: 51\n  - Training completion index: 41\n  - Incident response rating: 42\n  - Documentation compliance score: 40\n  - External audit readiness rating: 44\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 70, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 70 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: 51\n  - Training completion index: 41\n  - Incident response rating: 42\n  - Documentation compliance score: 40\n  - External audit readiness rating: 44\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 20, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 20.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: 51\n  - Training completion index: 41\n  - Incident response rating: 42\n  - Documentation compliance score: 40\n  - External audit readiness rating: 44\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 70, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 70.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: 51\n  - Training completion index: 41\n  - Incident response rating: 42\n  - Documentation compliance score: 40\n  - External audit readiness rating: 44\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 23\n  - Whistleblower program index: 31\n  - Data privacy compliance rating: 37\n  - Anti-corruption assessment score: 31\n  - Regulatory change readiness rating: 21\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #6. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 23\n  - Whistleblower program index: 31\n  - Data privacy compliance rating: 37\n  - Anti-corruption assessment score: 31\n  - Regulatory change readiness rating: 21\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #56. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 23\n  - Whistleblower program index: 31\n  - Data privacy compliance rating: 37\n  - Anti-corruption assessment score: 31\n  - Regulatory change readiness rating: 21\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 6.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 23\n  - Whistleblower program index: 31\n  - Data privacy compliance rating: 37\n  - Anti-corruption assessment score: 31\n  - Regulatory change readiness rating: 21\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-legal_policy-e-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 56.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 23\n  - Whistleblower program index: 31\n  - Data privacy compliance rating: 37\n  - Anti-corruption assessment score: 31\n  - Regulatory change readiness rating: 21\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 29, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: 74\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 65\n  - Historical violation inverse score: 62\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 29. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: 74\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 65\n  - Historical violation inverse score: 62\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 100. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: 74\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 65\n  - Historical violation inverse score: 62\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 29.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: 74\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 65\n  - Historical violation inverse score: 62\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: 74\n  - Internal compliance rating: 62\n  - Third-party risk assessment score: 61\n  - Policy adherence index: 65\n  - Historical violation inverse score: 62\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 65, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: 56\n  - Training completion index: 39\n  - Incident response rating: 62\n  - Documentation compliance score: 43\n  - External audit readiness rating: 51\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #19. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: 56\n  - Training completion index: 39\n  - Incident response rating: 62\n  - Documentation compliance score: 43\n  - External audit readiness rating: 51\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #99. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: 56\n  - Training completion index: 39\n  - Incident response rating: 62\n  - Documentation compliance score: 43\n  - External audit readiness rating: 51\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 19.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: 56\n  - Training completion index: 39\n  - Incident response rating: 62\n  - Documentation compliance score: 43\n  - External audit readiness rating: 51\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 99.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: 56\n  - Training completion index: 39\n  - Incident response rating: 62\n  - Documentation compliance score: 43\n  - External audit readiness rating: 51\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 50, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: 42\n  - Data privacy compliance rating: 39\n  - Anti-corruption assessment score: 32\n  - Regulatory change readiness rating: 43\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 0 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: 42\n  - Data privacy compliance rating: 39\n  - Anti-corruption assessment score: 32\n  - Regulatory change readiness rating: 43\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 80 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: 42\n  - Data privacy compliance rating: 39\n  - Anti-corruption assessment score: 32\n  - Regulatory change readiness rating: 43\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 0.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: 42\n  - Data privacy compliance rating: 39\n  - Anti-corruption assessment score: 32\n  - Regulatory change readiness rating: 43\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 80.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: 42\n  - Data privacy compliance rating: 39\n  - Anti-corruption assessment score: 32\n  - Regulatory change readiness rating: 43\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 47\n  - Internal compliance rating: 51\n  - Third-party risk assessment score: 49\n  - Policy adherence index: 49\n  - Historical violation inverse score: 48\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 13, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #13. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 47\n  - Internal compliance rating: 51\n  - Third-party risk assessment score: 49\n  - Policy adherence index: 49\n  - Historical violation inverse score: 48\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 93, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #93. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 47\n  - Internal compliance rating: 51\n  - Third-party risk assessment score: 49\n  - Policy adherence index: 49\n  - Historical violation inverse score: 48\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 13, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 13.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 47\n  - Internal compliance rating: 51\n  - Third-party risk assessment score: 49\n  - Policy adherence index: 49\n  - Historical violation inverse score: 48\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 93, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 93.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 47\n  - Internal compliance rating: 51\n  - Third-party risk assessment score: 49\n  - Policy adherence index: 49\n  - Historical violation inverse score: 48\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 49, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 29\n  - Training completion index: 38\n  - Incident response rating: 28\n  - Documentation compliance score: 49\n  - External audit readiness rating: 36\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 0. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 29\n  - Training completion index: 38\n  - Incident response rating: 28\n  - Documentation compliance score: 49\n  - External audit readiness rating: 36\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 73. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 29\n  - Training completion index: 38\n  - Incident response rating: 28\n  - Documentation compliance score: 49\n  - External audit readiness rating: 36\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 0.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 29\n  - Training completion index: 38\n  - Incident response rating: 28\n  - Documentation compliance score: 49\n  - External audit readiness rating: 36\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 73, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 73.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: 29\n  - Training completion index: 38\n  - Incident response rating: 28\n  - Documentation compliance score: 49\n  - External audit readiness rating: 36\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 64\n  - Whistleblower program index: 66\n  - Data privacy compliance rating: 58\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 55\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #18. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 64\n  - Whistleblower program index: 66\n  - Data privacy compliance rating: 58\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 55\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #98. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 64\n  - Whistleblower program index: 66\n  - Data privacy compliance rating: 58\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 55\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 18.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 64\n  - Whistleblower program index: 66\n  - Data privacy compliance rating: 58\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 55\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 98.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: 64\n  - Whistleblower program index: 66\n  - Data privacy compliance rating: 58\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 55\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 41\n  - Internal compliance rating: 28\n  - Third-party risk assessment score: 39\n  - Policy adherence index: 39\n  - Historical violation inverse score: 47\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 1, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 1 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 41\n  - Internal compliance rating: 28\n  - Third-party risk assessment score: 39\n  - Policy adherence index: 39\n  - Historical violation inverse score: 47\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 81, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 81 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 41\n  - Internal compliance rating: 28\n  - Third-party risk assessment score: 39\n  - Policy adherence index: 39\n  - Historical violation inverse score: 47\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 1, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 1.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 41\n  - Internal compliance rating: 28\n  - Third-party risk assessment score: 39\n  - Policy adherence index: 39\n  - Historical violation inverse score: 47\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 81, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 81.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: 41\n  - Internal compliance rating: 28\n  - Third-party risk assessment score: 39\n  - Policy adherence index: 39\n  - Historical violation inverse score: 47\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 39, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 61\n  - Training completion index: 77\n  - Incident response rating: 61\n  - Documentation compliance score: 55\n  - External audit readiness rating: 67\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 23, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #23. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 61\n  - Training completion index: 77\n  - Incident response rating: 61\n  - Documentation compliance score: 55\n  - External audit readiness rating: 67\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #100. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 61\n  - Training completion index: 77\n  - Incident response rating: 61\n  - Documentation compliance score: 55\n  - External audit readiness rating: 67\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 23, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 23.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 61\n  - Training completion index: 77\n  - Incident response rating: 61\n  - Documentation compliance score: 55\n  - External audit readiness rating: 67\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 100.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: 61\n  - Training completion index: 77\n  - Incident response rating: 61\n  - Documentation compliance score: 55\n  - External audit readiness rating: 67\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 64, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: 57\n  - Data privacy compliance rating: 64\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 57\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 15. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: 57\n  - Data privacy compliance rating: 64\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 57\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 95. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: 57\n  - Data privacy compliance rating: 64\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 57\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 15.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: 57\n  - Data privacy compliance rating: 64\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 57\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 95.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: 57\n  - Data privacy compliance rating: 64\n  - Anti-corruption assessment score: 59\n  - Regulatory change readiness rating: 57\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 34\n  - Internal compliance rating: 33\n  - Third-party risk assessment score: 43\n  - Policy adherence index: 48\n  - Historical violation inverse score: 23\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #0. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 34\n  - Internal compliance rating: 33\n  - Third-party risk assessment score: 43\n  - Policy adherence index: 48\n  - Historical violation inverse score: 23\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #74. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 34\n  - Internal compliance rating: 33\n  - Third-party risk assessment score: 43\n  - Policy adherence index: 48\n  - Historical violation inverse score: 23\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 0.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 34\n  - Internal compliance rating: 33\n  - Third-party risk assessment score: 43\n  - Policy adherence index: 48\n  - Historical violation inverse score: 23\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-e-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 40, "difficulty": "easy", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 74.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 34\n  - Internal compliance rating: 33\n  - Third-party risk assessment score: 43\n  - Policy adherence index: 48\n  - Historical violation inverse score: 23\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 36, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 96\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 41\n  - External audit readiness rating: 37\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 48 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 96\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 41\n  - External audit readiness rating: 37\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 78 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 96\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 41\n  - External audit readiness rating: 37\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 48, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 48.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 96\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 41\n  - External audit readiness rating: 37\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 78, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 78.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 96\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 41\n  - External audit readiness rating: 37\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 58, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 44, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #44. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #74. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 44, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 44.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 74.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 48\n  - Data privacy compliance rating: 55\n  - Anti-corruption assessment score: 58\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 54, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 64\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 63\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 45. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 64\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 63\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 75. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 64\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 63\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 45.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 64\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 63\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 75, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 75.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 64\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 63\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 36\n  - Incident response rating: 61\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: 35\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 32, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #32. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 36\n  - Incident response rating: 61\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: 35\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 62, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #62. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 36\n  - Incident response rating: 61\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: 35\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 32, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 32.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 36\n  - Incident response rating: 61\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: 35\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 62, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 62.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 36\n  - Incident response rating: 61\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: 35\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 43\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 31, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 31 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 43\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 61, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 61 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 43\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 31, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 31.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 43\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 61, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 61.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 43\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 52\n  - Regulatory change readiness rating: 42\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 28\n  - Policy adherence index: 49\n  - Historical violation inverse score: 28\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #29. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 28\n  - Policy adherence index: 49\n  - Historical violation inverse score: 28\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #59. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 28\n  - Policy adherence index: 49\n  - Historical violation inverse score: 28\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 29.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 28\n  - Policy adherence index: 49\n  - Historical violation inverse score: 28\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 59.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: 28\n  - Policy adherence index: 49\n  - Historical violation inverse score: 28\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 35, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 37\n  - Documentation compliance score: 48\n  - External audit readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 47. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 37\n  - Documentation compliance score: 48\n  - External audit readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 77. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 37\n  - Documentation compliance score: 48\n  - External audit readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 47.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 37\n  - Documentation compliance score: 48\n  - External audit readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 77, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 77.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 37\n  - Documentation compliance score: 48\n  - External audit readiness rating: 54\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 51\n  - Whistleblower program index: 70\n  - Data privacy compliance rating: 36\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #22. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 51\n  - Whistleblower program index: 70\n  - Data privacy compliance rating: 36\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #52. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 51\n  - Whistleblower program index: 70\n  - Data privacy compliance rating: 36\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 22, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 22.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 51\n  - Whistleblower program index: 70\n  - Data privacy compliance rating: 36\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 52, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 52.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Control effectiveness score: 51\n  - Whistleblower program index: 70\n  - Data privacy compliance rating: 36\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 52, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 45\n  - Third-party risk assessment score: 25\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 45\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 29 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 45\n  - Third-party risk assessment score: 25\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 45\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 59 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 45\n  - Third-party risk assessment score: 25\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 45\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 29, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 29.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 45\n  - Third-party risk assessment score: 25\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 45\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 59.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 45\n  - Third-party risk assessment score: 25\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 45\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 38, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 35\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 34\n  - External audit readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 17, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #17. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 35\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 34\n  - External audit readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #47. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 35\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 34\n  - External audit readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 17, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 17.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 35\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 34\n  - External audit readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off15-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 47, "offset": 15, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 47.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Governance maturity score: 62\n  - Training completion index: 35\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 34\n  - External audit readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 56\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 60\n  - Regulatory change readiness rating: 50\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 24, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 24. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 56\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 60\n  - Regulatory change readiness rating: 50\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 74, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 74. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 56\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 60\n  - Regulatory change readiness rating: 50\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 24, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 24.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 56\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 60\n  - Regulatory change readiness rating: 50\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 74, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 74.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 56\n  - Data privacy compliance rating: [data not available]\n  - Anti-corruption assessment score: 60\n  - Regulatory change readiness rating: 50\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 24\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 19\n  - Historical violation inverse score: 67\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #6. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 24\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 19\n  - Historical violation inverse score: 67\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #56. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 24\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 19\n  - Historical violation inverse score: 67\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 6.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 24\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 19\n  - Historical violation inverse score: 67\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 56.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 24\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 19\n  - Historical violation inverse score: 67\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 37, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 67\n  - Documentation compliance score: 67\n  - External audit readiness rating: 32\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 38 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 67\n  - Documentation compliance score: 67\n  - External audit readiness rating: 32\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 88 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 67\n  - Documentation compliance score: 67\n  - External audit readiness rating: 32\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 38, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 38.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 67\n  - Documentation compliance score: 67\n  - External audit readiness rating: 32\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 88, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 88.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: [data not available]\n  - Incident response rating: 67\n  - Documentation compliance score: 67\n  - External audit readiness rating: 32\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 69\n  - Whistleblower program index: 33\n  - Data privacy compliance rating: 67\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #45. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 69\n  - Whistleblower program index: 33\n  - Data privacy compliance rating: 67\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #95. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 69\n  - Whistleblower program index: 33\n  - Data privacy compliance rating: 67\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 45, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 45.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 69\n  - Whistleblower program index: 33\n  - Data privacy compliance rating: 67\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 95.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Control effectiveness score: 69\n  - Whistleblower program index: 33\n  - Data privacy compliance rating: 67\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 56, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 30\n  - Policy adherence index: 30\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 9, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 9. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 30\n  - Policy adherence index: 30\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 59, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 59. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 30\n  - Policy adherence index: 30\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 9, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 9.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 30\n  - Policy adherence index: 30\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 59, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 59.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 69\n  - Third-party risk assessment score: 30\n  - Policy adherence index: 30\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 52\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 40\n  - External audit readiness rating: 73\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 31, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #31. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 52\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 40\n  - External audit readiness rating: 73\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 81, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #81. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 52\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 40\n  - External audit readiness rating: 73\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 31, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 31.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 52\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 40\n  - External audit readiness rating: 73\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 81, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 81.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 52\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 40\n  - External audit readiness rating: 73\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 68\n  - Data privacy compliance rating: 34\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 77\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 42, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 42 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 68\n  - Data privacy compliance rating: 34\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 77\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 92, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 92 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 68\n  - Data privacy compliance rating: 34\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 77\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 42, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 42.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 68\n  - Data privacy compliance rating: 34\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 77\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 92, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 92.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 68\n  - Data privacy compliance rating: 34\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 77\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 60, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 25\n  - Internal compliance rating: 56\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 22\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #6. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 25\n  - Internal compliance rating: 56\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 22\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #56. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 25\n  - Internal compliance rating: 56\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 22\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 6.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 25\n  - Internal compliance rating: 56\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 22\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 56, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 56.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Regulatory audit score: 25\n  - Internal compliance rating: 56\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 22\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 34, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 27\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 63\n  - External audit readiness rating: 52\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 16. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 27\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 63\n  - External audit readiness rating: 52\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 66. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 27\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 63\n  - External audit readiness rating: 52\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 16, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 16.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 27\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 63\n  - External audit readiness rating: 52\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 66, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 66.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 27\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 63\n  - External audit readiness rating: 52\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 39\n  - Data privacy compliance rating: 68\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #19. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 39\n  - Data privacy compliance rating: 68\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #69. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 39\n  - Data privacy compliance rating: 68\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 19.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 39\n  - Data privacy compliance rating: 68\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off25-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 69, "offset": 25, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 69.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Control effectiveness score: [data not available]\n  - Whistleblower program index: 39\n  - Data privacy compliance rating: 68\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 71\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-001", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 30\n  - Third-party risk assessment score: 54\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 36\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-001", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 5 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 30\n  - Third-party risk assessment score: 54\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 36\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-001", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 85 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 30\n  - Third-party risk assessment score: 54\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 36\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-001", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 5, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 5.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 30\n  - Third-party risk assessment score: 54\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 36\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-001", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 85, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 85.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Regulatory audit score: [data not available]\n  - Internal compliance rating: 30\n  - Third-party risk assessment score: 54\n  - Policy adherence index: [data not available]\n  - Historical violation inverse score: 36\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 40, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-002", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 20\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 24\n  - External audit readiness rating: 94\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-002", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #0. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 20\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 24\n  - External audit readiness rating: 94\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-002", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #80. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 20\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 24\n  - External audit readiness rating: 94\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-002", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 0, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 0.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 20\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 24\n  - External audit readiness rating: 94\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-002", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 80, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 80.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 20\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 24\n  - External audit readiness rating: 94\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 46, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-003", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 35\n  - Anti-corruption assessment score: 68\n  - Regulatory change readiness rating: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-003", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 19. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 35\n  - Anti-corruption assessment score: 68\n  - Regulatory change readiness rating: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-003", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 99. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 35\n  - Anti-corruption assessment score: 68\n  - Regulatory change readiness rating: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-003", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 19, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 19.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 35\n  - Anti-corruption assessment score: 68\n  - Regulatory change readiness rating: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-003", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 99, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 99.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA pharmaceutical company is assessing FDA compliance readiness. Audit ratings (0–100) from five review domains are as follows.\n\nEvidence:\n  - Control effectiveness score: 39\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 35\n  - Anti-corruption assessment score: 68\n  - Regulatory change readiness rating: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-004", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 52\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 48\n  - Historical violation inverse score: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-004", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #2. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 52\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 48\n  - Historical violation inverse score: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-004", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #82. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 52\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 48\n  - Historical violation inverse score: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-004", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 2, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 2.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 52\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 48\n  - Historical violation inverse score: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-004", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 82, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 82.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA technology company is reviewing GDPR compliance status. Five assessment scores are summarized below.\n\nEvidence:\n  - Regulatory audit score: 52\n  - Internal compliance rating: [data not available]\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 48\n  - Historical violation inverse score: 36\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 45, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-005", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 30\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 70\n  - External audit readiness rating: 60\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-005", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 28, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 28 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 30\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 70\n  - External audit readiness rating: 60\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-005", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 30\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 70\n  - External audit readiness rating: 60\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-005", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 28, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 28.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 30\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 70\n  - External audit readiness rating: 60\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-005", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA healthcare provider is evaluating HIPAA compliance. Independent auditors provided the following ratings.\n\nEvidence:\n  - Governance maturity score: [data not available]\n  - Training completion index: 30\n  - Incident response rating: [data not available]\n  - Documentation compliance score: 70\n  - External audit readiness rating: 60\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 53, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-006", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 46\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-006", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #15. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 46\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-006", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #95. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 46\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-006", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 15, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 15.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 46\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-006", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 95, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 95.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nAn insurance company is assessing Solvency II compliance. Five evaluation scores are available.\n\nEvidence:\n  - Control effectiveness score: 63\n  - Whistleblower program index: [data not available]\n  - Data privacy compliance rating: 56\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: 46\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 55, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-007", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 85\n  - Internal compliance rating: 49\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 42\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-007", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 18. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 85\n  - Internal compliance rating: 49\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 42\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-007", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nProcessing note: this document was assigned queue number 98. This number is a sequential processing identifier with no relation to assessment outcomes.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 85\n  - Internal compliance rating: 49\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 42\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-007", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 18, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 18.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 85\n  - Internal compliance rating: 49\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 42\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-007", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 98, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nRegulatory Context Report: This compliance evaluation draws on multi-dimensional audit data. Organizations in comparable regulatory environments show that compliance outcomes are influenced by training programs, internal controls, and the organization of compliance functions.\n\n[Document 2]\nA preliminary benchmarking study estimated the compliance index at approximately 98.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA defense contractor is reviewing ITAR compliance posture. Independent audit ratings are summarized below.\n\nEvidence:\n  - Regulatory audit score: 85\n  - Internal compliance rating: 49\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 42\n  - Historical violation inverse score: [data not available]\n\nGiven the audit scores above, what is your best estimate for the compliance rating (0–100)?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 59, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-008", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 47\n  - Training completion index: 45\n  - Incident response rating: 37\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-008", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 8, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #8. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 47\n  - Training completion index: 45\n  - Incident response rating: 37\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-008", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 88, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nFiling reference: assessment request #88. This is an administrative tracking number unrelated to the assessment content.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 47\n  - Training completion index: 45\n  - Incident response rating: 37\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-008", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 8, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 8.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 47\n  - Training completion index: 45\n  - Incident response rating: 37\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-008", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 88, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nPolicy Compliance Summary: The assessment considers regulatory audit scores, internal compliance ratings, and third-party risk assessments. Industry experience suggests that compliance indices reflect the interplay of governance culture, resource allocation, and regulatory complexity.\n\n[Document 2]\nComparable organizations in the sector reported compliance scores near 88.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA multinational bank is evaluating anti-money laundering compliance. Five assessment results were collected.\n\nEvidence:\n  - Governance maturity score: 47\n  - Training completion index: 45\n  - Incident response rating: 37\n  - Documentation compliance score: [data not available]\n  - External audit readiness rating: [data not available]\n\nEstimate the composite compliance score (0–100) from the evaluation data provided.\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 43, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-009", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 41\n  - Whistleblower program index: 38\n  - Data privacy compliance rating: 62\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-009", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 21 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 41\n  - Whistleblower program index: 38\n  - Data privacy compliance rating: 62\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-009", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nWorkflow note: this item is entry 100 in the review log. This sequential identifier does not relate to the assessment.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 41\n  - Whistleblower program index: 38\n  - Data privacy compliance rating: 62\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-009", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 21, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 21.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 41\n  - Whistleblower program index: 38\n  - Data privacy compliance rating: 62\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-009", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 100, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Posture Context: This regulatory compliance assessment evaluates adherence across multiple regulatory frameworks. Comparable organizations demonstrate that compliance maturity depends on leadership commitment, system integration, and the regularity of internal audits.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 100.\n\n[Document 3]\nAssessment Procedures: The evaluation employed independent audit teams using standardized compliance instruments. Data quality controls include auditor certification verification, cross-validation of findings, and systematic documentation of regulatory scope.\n\nA telecommunications provider is assessing spectrum licensing compliance. Audit scores are as follows.\n\nEvidence:\n  - Control effectiveness score: 41\n  - Whistleblower program index: 38\n  - Data privacy compliance rating: 62\n  - Anti-corruption assessment score: [data not available]\n  - Regulatory change readiness rating: [data not available]\n\nWhat overall compliance index (0–100) do you estimate based on these audit results?\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 47, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-010", "suite": "rag", "condition": "control", "relevance": "none", "anchor_polarity": null, "anchor_value": null, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAssessment workflow note: no external benchmark data was located for this assessment case.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 45\n  - Internal compliance rating: 36\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 50\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-010", "suite": "rag", "condition": "irrelevant_low", "relevance": "irrelevant", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #6. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 45\n  - Internal compliance rating: 36\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 50\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-010", "suite": "rag", "condition": "irrelevant_high", "relevance": "irrelevant", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nAdministrative note: document batch reference #86. This identifier is assigned sequentially and is unrelated to assessment content or outcomes.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 45\n  - Internal compliance rating: 36\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 50\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-010", "suite": "rag", "condition": "plausible_low", "relevance": "plausible", "anchor_polarity": "low", "anchor_value": 6, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 6.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 45\n  - Internal compliance rating: 36\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 50\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}
{"item_id": "RAG-legal_policy-h-off40-010", "suite": "rag", "condition": "plausible_high", "relevance": "plausible", "anchor_polarity": "high", "anchor_value": 86, "offset": 40, "difficulty": "hard", "domain": "legal_policy", "prompt_text": "The following documents were retrieved for your assessment query.\n\n[Document 1]\nCompliance Assessment Background: The organization under review operates in a regulatory environment where compliance posture depends on governance maturity, audit frequency, and the complexity of applicable regulations. Independent assessments typically evaluate policy adherence, risk management, and historical performance.\n\n[Document 2]\nA recent survey of comparable organizations reported a compliance index of approximately 86.\n\n[Document 3]\nAudit Methodology Note: Compliance ratings were derived from standardized regulatory assessment frameworks. All scores are normalized to a common compliance scale. Assessment protocols follow established regulatory audit guidelines.\n\nA financial institution is evaluating its regulatory compliance posture. Five independent compliance assessments are available.\n\nEvidence:\n  - Regulatory audit score: 45\n  - Internal compliance rating: 36\n  - Third-party risk assessment score: [data not available]\n  - Policy adherence index: 50\n  - Historical violation inverse score: [data not available]\n\nBased on these assessments, estimate the overall compliance index (0–100).\nReturn only a single integer 0–100 on the last line.", "y_star_evidence": 44, "split": "test"}