tkmrkt/qwen3-4b-structured-output-lora-tkmrkt
Text Generation
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[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need customer review details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-4098897\"\nproduct_id = \"PROD-511563\"\nuser_id = \"1148f45c-7eab-43a5-bbf0-ac83d9e7a966\"\nrating = 5\ntitle = \"Out week hard serious measure million main.\"\ncontent = \"And including still small soon speech somebody. While leave suddenly new quality soon democratic shoulder. Notice operation doctor anything various fact.\"\ndate = \"2026-01-02\"\nverified_purchase = true\nhelpful_votes = 24\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 174
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output financial report as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"company\": \"Pitts Ltd\",\n \"ticker\": \"WPDU\",\n \"quarter\": \"Q1 2022\",\n \"revenue\": 4400989,\n \"expenses\": 71159857,\n \"net_income\": 1236972,\n \"eps\": 5.67,\n \"metrics\": {\n \"profit_margin\": 9.91,\n \"roe\": 6.9\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 133
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-489062\",\n \"title\": \"Effect of least on reason\",\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 352,\n \"duration_days\": 250\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 22.73,\n \"endpoint\": 70.23,\n \"p_value\": 0.1729\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 97.81,\n \"endpoint\": 48.26,\n \"p_value\": 0.1151\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 190
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1595694, \"\"growth\"\": -2.61}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1130127, \"\"gr\",,,,,June 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-3399\"\", \"\"sales\"\": 106076}, {\"\"sku\"\": \"\"SKU-5942\"\", \"\"sales\"\": 279633}, {\"\"sku\"\": \"\"SKU-6750\"\", \"\"sa\",2665677,40417\r\nReport benefit himself safe charge many time management. Size future audience gun. Even low relation,\"[{\"\"name\"\": \"\"Jeremy Hernandez\"\", \"\"affiliation\"\": \"\"Garcia PLC\"\", \"\"email\"\": \"\"nhouston@example.org\"\"}, {\"\"name\"\"\",,297,None,\"[\"\"brother\"\", \"\"chance\"\", \"\"Republican\"\"]\",arXiv:2021.44489,,10.2770/AXSb,Science,2024,Open-source actuating matrix,,,\r\nAvailable which shoulder process south. Face movement trip current catch building left.,\"[{\"\"name\"\": \"\"Donna Griffith\"\", \"\"affiliation\"\": \"\"Edwards, Myers and Turner\"\", \"\"email\"\": \"\"perezjessica@examp\",,495,None,\"[\"\"same\"\", \"\"so\"\", \"\"participant\"\"]\",arXiv:2022.62242,,10.4657/BjFv,Cell,2020,Inverse didactic firmware,,,\r\nHow commercial likely along off billion. Real nearly once rest everyone. Where build unit.,\"[{\"\"name\"\": \"\"Matthew Wright\"\", \"\"affiliation\"\": \"\"Gilmore, Compton and Davis\"\", \"\"email\"\": \"\"michelle51@exampl\",,284,None,\"[\"\"hundred\"\", \"\"use\"\", \"\"relationship\"\", \"\"step\"\"]\",arXiv:2020.15885,,10.6960/nSEb,Nature,2021,Visionary non-volatile info-mediaries,,,\r\nPrice weight enjoy voice view couple direction. Tree child daughter actually.,\"[{\"\"name\"\": \"\"Brittany Roach\"\", \"\"affiliation\"\": \"\"Sosa Group\"\", \"\"email\"\": \"\"pachecophillip@example.net\"\"}, {\"\"n\",,59,\"Richardson, Griffin and Austin\",\"[\"\"democratic\"\", \"\"issue\"\", \"\"consumer\"\"]\",arXiv:2022.43163,,10.9462/WQgJ,Science,2021,User-centric asymmetric website,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 532
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output error log as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,5ef82a17-690d-46e3-a9c8-8442b9e41d26,6e5d4297-6e17-43f1-892f-b17a06e50dce,5916d4b0-e5eb-4224-a3b1-7fe53d3d79db,,,ERROR,Collection at police example own happen many indicate.,,,,,severalService,\"[\"\"at window.py:396\"\", \"\"at moment.py:386\"\"]\",2026-01-06T09:43:33.926303,\r\nBar center scientist international rest space idea. Open none once else network of strategy. Officia,\"[{\"\"name\"\": \"\"Carl Brown\"\", \"\"affiliation\"\": \"\"Rogers-Black\"\", \"\"email\"\": \"\"william14@example.org\"\"}, {\"\"name\"\": \"\"\",496,,,,None,\"[\"\"animal\"\", \"\"low\"\", \"\"study\"\"]\",,,arXiv:2023.91037,10.9060/Hioh,Science,2021,,,,Persevering cohesive hierarchy\r\nPut think one phone indicate dream. Very cup manager should so. Per I Mr agreement kind million.,\"[{\"\"name\"\": \"\"Mr. Jon Rhodes\"\", \"\"affiliation\"\": \"\"Smith-Franco\"\", \"\"email\"\": \"\"nharris@example.org\"\"}, {\"\"name\"\":\",172,,,,None,\"[\"\"rich\"\", \"\"above\"\", \"\"doctor\"\"]\",,,arXiv:2021.60400,10.4468/zTnk,Cell,2022,,,,Quality-focused methodical complexity\r\nSoldier there the them another certain one.,\"[{\"\"name\"\": \"\"Paul Lewis\"\", \"\"affiliation\"\": \"\"Ochoa and Sons\"\", \"\"email\"\": \"\"kimberly48@example.net\"\"}, {\"\"name\"\"\",90,,,,\"Bradford, Barnes and Ramsey\",\"[\"\"economy\"\", \"\"admit\"\", \"\"grow\"\", \"\"face\"\", \"\"field\"\"]\",,,arXiv:2024.88003,10.9216/SQjV,Science,2021,,,,Cross-platform solution-oriented product\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 454
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate course syllabus data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"course_id\": \"CRS-6293\",\n \"code\": \"LNH236\",\n \"title\": \"Compatible composite portal 101\",\n \"instructor\": \"Carl Callahan\",\n \"credits\": 3,\n \"term\": \"Fall 2023\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"because\"\n },\n {\n \"week\": 2,\n \"topic\": \"lead\"\n },\n {\n \"week\": 3,\n \"topic\": \"then\"\n },\n {\n \"week\": 4,\n \"topic\": \"community\"\n },\n {\n \"week\": 5,\n \"topic\": \"manager\"\n },\n {\n \"week\": 6,\n \"topic\": \"difference\"\n },\n {\n \"week\": 7,\n \"topic\": \"eye\"\n },\n {\n \"week\": 8,\n \"topic\": \"majority\"\n },\n {\n \"week\": 9,\n \"topic\": \"old\"\n },\n {\n \"week\": 10,\n \"topic\": \"another\"\n },\n {\n \"week\": 11,\n \"topic\": \"common\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 292
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need api specification details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Fully-configurable analyzing instruction set API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/he\": {\n \"get\": {\n \"summary\": \"Student wind item media rather.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 219
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need contract details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"status\": \"executed\",\n \"value\": 39022,\n \"term_months\": 60,\n \"effective_date\": \"2026-01-03\",\n \"contract_id\": \"CTR-702805\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 109
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-379547\"\nstudent_id = \"STU-377615\"\ncourse_id = \"CRS-1180\"\ntype = \"exam\"\ndate = \"2026-01-02\"\ntotal_score = 98\npercentage = 79.66\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 1\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 324
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need error log details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: c0f401df-bc4e-4d85-a4fb-742cd7594dac\ntimestamp: '2026-01-06T09:43:31.148240'\nlevel: ERROR\nservice: rateService\nmessage: Until gun fund forward free manager.\nstack_trace:\n- at place.py:44\n- at rock.py:354\ncontext:\n user_id: 3b83a0e7-33c5-42b6-bba6-b147d1349116\n request_id: fe7c9c3c-156f-4d7b-8c77-e421cf8c2687\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 156
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate research paper data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2022.74861\ntitle: Enterprise-wide background neural-net\nauthors:\n- name: Joshua Martinez\n affiliation: Jackson Ltd\n email: awilliams@example.net\n- name: Lindsey Morrow\n affiliation: Thomas-Hays\n email: alexander97@example.net\nabstract: Analysis left land member structure third card according. Class safe method.\nkeywords:\n- dream\n- benefit\n- every\npublication:\n venue: Science\n year: 2020\n doi: 10.6108/HONd\ncitations: 184\nfunding_source: null\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 195
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need course syllabus details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"course_id\": \"CRS-4085\",\n \"code\": \"MUR206\",\n \"title\": \"Intuitive composite secured line 101\",\n \"instructor\": \"Tyler Koch\",\n \"credits\": 3,\n \"term\": \"Fall 2021\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"amount\"\n },\n {\n \"week\": 2,\n \"topic\": \"actually\"\n },\n {\n \"week\": 3,\n \"topic\": \"light\"\n },\n {\n \"week\": 4,\n \"topic\": \"occur\"\n },\n {\n \"week\": 5,\n \"topic\": \"leave\"\n },\n {\n \"week\": 6,\n \"topic\": \"man\"\n },\n {\n \"week\": 7,\n \"topic\": \"magazine\"\n },\n {\n \"week\": 8,\n \"topic\": \"father\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 251
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-3296162\"\npatient_mrn = \"MRN-810937\"\norder_date = \"2026-01-01\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 103.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 189.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 75.4\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 103.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 93.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 127.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 76.3\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 222
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate contract data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-912144</contract_id>\n<parties>\n<name>Bishop, Peterson and Martin</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Weeks, Mejia and Brown</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-02</effective_date>\n<term_months>30</term_months>\n<value>929077</value>\n<status>executed</status>\n</contract>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "contract",
"estimated_tokens": 171
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need research paper details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"citations\": 466,\n \"paper_id\": \"arXiv:2022.35556\",\n \"authors\": [\n {\n \"name\": \"John Krueger\",\n \"affiliation\": \"Powell, Mcdonald and Nguyen\",\n \"email\": \"valdezsarah@example.com\"\n },\n {\n \"name\": \"Alexander Li\",\n \"affiliation\": \"Stout-Estrada\",\n \"email\": \"kennedymichael@example.com\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 162
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output prescription as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<patient_mrn>MRN-968637</patient_mrn>\n<prescriber>Linda Howell</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n<rx_id>RX-6124964</rx_id>\n</prescription>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 220
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need clinical note details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-5278287\npatient:\n mrn: MRN-468991\n age: 56\n gender: F\nencounter_date: '2026-01-03'\nchief_complaint: fever\nvitals:\n bp: 131/60\n hr: 62\n temp_f: 101.3\nassessment:\n- problem: diabetes\n icd10: K66\n- problem: diabetes\n icd10: I34\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 139
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Compatible disintermediate groupware API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/season\": {\n \"get\": {\n \"summary\": \"Control religious less finish financial against of\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param2\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 278
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-305818\"\nconclusion = \"non-significant\"\ntitle = \"Effect of long on no\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 23.53\nendpoint = 16.45\np_value = 0.2406\n\n[[results]]\nmetric = \"safety\"\nbaseline = 97.51\nendpoint = 52.65\np_value = 0.2701\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 363\nduration_days = 286\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 157
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need course syllabus details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"course_id\": \"CRS-9030\",\n \"code\": \"GLL470\",\n \"title\": \"Streamlined human-resource standardization 101\",\n \"instructor\": \"Christopher Wilson\",\n \"credits\": 4,\n \"term\": \"Fall 2024\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"yes\"\n },\n {\n \"week\": 2,\n \"topic\": \"read\"\n },\n {\n \"week\": 3,\n \"topic\": \"sign\"\n },\n {\n \"week\": 4,\n \"topic\": \"week\"\n },\n {\n \"week\": 5,\n \"topic\": \"such\"\n },\n {\n \"week\": 6,\n \"topic\": \"man\"\n },\n {\n \"week\": 7,\n \"topic\": \"job\"\n },\n {\n \"week\": 8,\n \"topic\": \"argue\"\n },\n {\n \"week\": 9,\n \"topic\": \"so\"\n },\n {\n \"week\": 10,\n \"topic\": \"age\"\n },\n {\n \"week\": 11,\n \"topic\": \"civil\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 291
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need api specification details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n title: Open-source well-modulated benchmark API\n version: 1.0.0\npaths:\n /radio:\n get:\n summary: Media star along will.\n parameters:\n - name: param0\n in: query\n type: string\n responses:\n '200':\n description: Success\n '400':\n description: Bad Request\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "api_specification",
"estimated_tokens": 164
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I15\"\"}]\",chest pain,2026-01-01,CN-1394512,78,F,MRN-917506,155/73,114,100.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I64\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K90\"\"}]\",headache,2026-01-02,CN-5427098,25,F,MRN-614136,176/67,76,97.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I93\"\"}]\",headache,2026-01-05,CN-5910438,40,M,MRN-972267,101/96,111,102.3\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 209
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output research paper as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nWorld others safe such industry. Debate soon fight stuff picture plan investment. Positive picture u,\"[{\"\"name\"\": \"\"Brandon Harris\"\", \"\"affiliation\"\": \"\"Adams-Novak\"\", \"\"email\"\": \"\"klang@example.net\"\"}, {\"\"name\"\": \"\"J\",191,None,\"[\"\"south\"\", \"\"staff\"\", \"\"four\"\"]\",arXiv:2020.95192,10.9923/RFal,Science,2024,Horizontal 24hour ability\r\nAlone affect ready we foreign. Individual decision husband more have. He measure know a eat study.,\"[{\"\"name\"\": \"\"Christopher Horn\"\", \"\"affiliation\"\": \"\"Johnson and Sons\"\", \"\"email\"\": \"\"vincent15@example.com\"\"}, \",74,None,\"[\"\"between\"\", \"\"information\"\", \"\"letter\"\", \"\"million\"\"]\",arXiv:2021.36333,10.6776/VFPZ,Nature,2024,Networked well-modulated array\r\n\"Traditional nice economy. Partner tell center goal. Box type I follow help range.\nCut especially dir\",\"[{\"\"name\"\": \"\"Joseph Barber\"\", \"\"affiliation\"\": \"\"Barr-Bailey\"\", \"\"email\"\": \"\"katherine97@example.net\"\"}, {\"\"name\",148,None,\"[\"\"modern\"\", \"\"move\"\", \"\"week\"\"]\",arXiv:2021.46017,10.5691/Gvmj,Nature,2020,Customizable system-worthy orchestration\r\nPosition protect shoulder method put right company example. Company evening professional. Reason min,\"[{\"\"name\"\": \"\"Jesse Nguyen\"\", \"\"affiliation\"\": \"\"Torres Group\"\", \"\"email\"\": \"\"schmidtluis@example.com\"\"}, {\"\"name\",331,Ward-Walker,\"[\"\"simple\"\", \"\"coach\"\", \"\"player\"\", \"\"spend\"\"]\",arXiv:2021.12314,10.9132/NxIX,Science,2020,Organic hybrid Graphic Interface\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 454
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output prescription as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nprescriber = \"John Mitchell\"\nrx_id = \"RX-7173717\"\npatient_mrn = \"MRN-333670\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"TID\"\nquantity = 60\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 141
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need error log details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 04fc9fc0-d7ed-4a22-ad0d-a2c11cc5fbd0\ntimestamp: '2026-01-06T09:43:32.507568'\nlevel: CRITICAL\nservice: conditionService\nmessage: Myself standard late treatment rule.\nstack_trace:\n- at knowledge.py:423\n- at expect.py:191\ncontext:\n user_id: dc933ca4-1b99-4133-b2f1-d6ffa34ca7c6\n request_id: 080929c4-3fbd-40eb-bc2f-bba8e6be8243\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 161
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output experiment result as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-857926\"\ntitle = \"Effect of thus on growth\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 79.07\nendpoint = 56.83\np_value = 0.2813\n\n[[results]]\nmetric = \"safety\"\nbaseline = 50.92\nendpoint = 49.75\np_value = 0.2978\n\n[[results]]\nmetric = \"safety\"\nbaseline = 85.96\nendpoint = 69.75\np_value = 0.182\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 51.68\nendpoint = 69.09\np_value = 0.1312\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 586\nduration_days = 359\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 197
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"review_id\": \"REV-4526244\",\n \"product_id\": \"PROD-472796\",\n \"user_id\": \"d6aaa9d3-89d1-4f04-afb6-0c81ca1eaf74\",\n \"rating\": 2,\n \"title\": \"Control account commercial small.\",\n \"content\": \"Game open idea practice word theory. Face power cultural money.\\nIndeed continue heart season. View against position more say end course. Situation hope enjoy around.\",\n \"date\": \"2026-01-04\",\n \"verified_purchase\": true,\n \"helpful_votes\": 18\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 187
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate research paper data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.30712\"\ntitle = \"Automated 4thgeneration capability\"\nabstract = \"Five suffer nor during. Mother type cell popular everybody. Any sing money without future.\"\nkeywords = [ \"effect\", \"wish\", \"perform\", \"drug\",]\ncitations = 139\n[[authors]]\nname = \"Veronica Murray\"\naffiliation = \"Miller, Cain and Newton\"\nemail = \"johnsonmaxwell@example.net\"\n\n[[authors]]\nname = \"Sara Montoya\"\naffiliation = \"Hall, Tucker and Jordan\"\nemail = \"floresjay@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2021\ndoi = \"10.3170/JGZQ\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 207
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate sales analytics data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: August 2024\ntotal_revenue: 2493980\nunits_sold: 42293\nchannels:\n- name: retail\n revenue: 1731538\n growth: 19.74\n- name: wholesale\n revenue: 4707421\n growth: 25.28\ntop_products:\n- sku: SKU-4259\n sales: 461117\n- sku: SKU-4056\n sales: 457473\n- sku: SKU-4682\n sales: 34457\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 149
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate sales analytics data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2021\"\ntotal_revenue = 9217350\nunits_sold = 88369\n[[channels]]\nname = \"wholesale\"\nrevenue = 288160\ngrowth = 7.61\n\n[[channels]]\nname = \"online\"\nrevenue = 972482\ngrowth = 14.48\n\n[[top_products]]\nsku = \"SKU-7895\"\nsales = 260304\n\n[[top_products]]\nsku = \"SKU-7548\"\nsales = 56782\n\n[[top_products]]\nsku = \"SKU-9159\"\nsales = 56666\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 158
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate product listing data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"product_id\": \"PROD-580956\",\n \"name\": \"Versatile disintermediate core\",\n \"category\": \"books\",\n \"price\": 888.49,\n \"currency\": \"USD\",\n \"stock\": 54,\n \"is_available\": true,\n \"rating\": 3.72,\n \"reviews\": 946,\n \"specs\": {\n \"weight_kg\": 48.2,\n \"dimensions\": \"78x84x30cm\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 149
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate customer review data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"user_id\": \"f4c2e919-6b38-4b45-984b-efd7769b0469\",\n \"verified_purchase\": true,\n \"product_id\": \"PROD-237264\",\n \"content\": \"Skin garden whole media city property speech. Ready few voice new more. Process have nearly item.\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "customer_review",
"estimated_tokens": 136
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need api specification details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Robust foreground policy API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/Congress\": {\n \"get\": {\n \"summary\": \"Fly medical strong such season book.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 244
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate transaction record data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-36809284</txn_id>\n<customer_id>0c536a02-eec8-4bcd-8716-cb0564185d0f</customer_id>\n<timestamp>2026-01-06T09:43:34.532435</timestamp>\n<items>\n<sku>SKU-37486</sku>\n<qty>4</qty>\n<price>223.93</price>\n</items>\n<items>\n<sku>SKU-51518</sku>\n<qty>1</qty>\n<price>246.34</price>\n</items>\n<items>\n<sku>SKU-21777</sku>\n<qty>4</qty>\n<price>496.92</price>\n</items>\n<subtotal>250.45</subtotal>\n<tax>127.96</tax>\n<total>1435.54</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 216
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output lab result as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9878120\"\npatient_mrn = \"MRN-230554\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 143.6\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 132.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 179.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 81.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 74.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 111.8\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 117.1\nunit = \"g/dL\"\nflag = \"low\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 223
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate transaction record data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-97907464</txn_id>\n<customer_id>2bedc7f2-81fc-428e-8905-082f3269a8ac</customer_id>\n<timestamp>2026-01-06T09:43:31.929253</timestamp>\n<items>\n<sku>SKU-71851</sku>\n<qty>1</qty>\n<price>387.94</price>\n</items>\n<subtotal>521.89</subtotal>\n<tax>92.88</tax>\n<total>1428.8</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 181
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate course syllabus data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9065\ncode: OHM443\ntitle: Extended modular moratorium 101\ninstructor: Alexandra Blake\ncredits: 4\nterm: Fall 2023\nschedule:\n- week: 1\n topic: determine\n- week: 2\n topic: spring\n- week: 3\n topic: 'yes'\n- week: 4\n topic: serve\n- week: 5\n topic: almost\n- week: 6\n topic: feeling\n- week: 7\n topic: must\n- week: 8\n topic: hotel\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 176
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate financial report data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Phillips-Serrano\"\nticker = \"XCBF\"\nquarter = \"Q1 2023\"\nrevenue = 18817584\nexpenses = 21245046\nnet_income = 9336199\neps = 6.52\n\n[metrics]\nprofit_margin = 8.9\nroe = 9.84\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 119
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need student assessment details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-480589\nstudent_id: STU-294027\ncourse_id: CRS-4574\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n points_earned: 4\n points_possible: 10\n- question: 2\n points_earned: 9\n points_possible: 10\n- question: 3\n points_earned: 7\n points_possible: 10\n- question: 4\n points_earned: 5\n points_possible: 10\n- question: 5\n points_earned: 4\n points_possible: 10\n- question: 6\n points_earned: 3\n points_possible: 10\n- question: 7\n points_earned: 0\n points_possible: 10\n- question: 8\n points_earned: 9\n points_possible: 10\n- question: 9\n points_earned: 6\n points_possible: 10\n- question: 10\n points_earned: 1\n points_possible: 10\ntotal_score: 82\npercentage: 76.47\ngrade: B\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 256
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output student assessment as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"course_id\": \"CRS-3102\",\n \"student_id\": \"STU-609423\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 4,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 9,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 9,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 8,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 9,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 10,\n \"points_earned\": 6,\n \"points_possible\": 10\n },\n {\n \"question\": 11,\n \"points_earned\": 6,\n \"points_possible\": 10\n },\n {\n \"question\": 12,\n \"points_earned\": 4,\n \"points_possible\": 10\n },\n {\n \"question\": 13,\n \"points_earned\": 0,\n \"points_possible\": 10\n }\n ],\n \"date\": \"2026-01-05\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 392
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-874142\ntitle: Effect of chair on some\nmethodology:\n design: cohort\n sample_size: 379\n duration_days: 91\nresults:\n- metric: efficacy\n baseline: 33.04\n endpoint: 58.85\n p_value: 0.0602\n- metric: efficacy\n baseline: 62.44\n endpoint: 82.26\n p_value: 0.0527\n- metric: safety\n baseline: 53.86\n endpoint: 18.78\n p_value: 0.314\nconclusion: significant\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 172
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\", \",MRN-364771,John Garcia,RX-4857207\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-947909,Anthony Keller,RX-8254891\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-584077,Katherine Hester,RX-3323545\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-674219,Willie Vang,RX-8294280\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 257
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-96998587\ncustomer_id: ee50bb87-b523-4e25-a457-71a20134c9ce\ntimestamp: '2026-01-06T09:43:32.230191'\nitems:\n- sku: SKU-38396\n qty: 2\n price: 358.14\n- sku: SKU-16249\n qty: 1\n price: 424.96\n- sku: SKU-37380\n qty: 2\n price: 416.71\n- sku: SKU-19778\n qty: 1\n price: 470.22\nsubtotal: 641.99\ntax: 131.13\ntotal: 2135.0\npayment_method: paypal\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 167
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-2870757,Russell Ward,\"Evening most most. Decide ready yet.\nEnjoy relate enjoy forget degree push above. Page somebody numb\",Team-oriented zero tolerance support,2026-01-03T10:13:04.270933,Sports,4223,\"[\"\"drop\"\", \"\"agent\"\", \"\"computer\"\", \"\"work\"\"]\",25211\r\nART-7568932,Ronald Carter,\"Whole expert Congress. Rise budget prevent.\nAble room force girl civil huge. International say direc\",Horizontal web-enabled workforce,2026-01-01T21:22:53.755258,Politics,562,\"[\"\"per\"\", \"\"stand\"\", \"\"police\"\"]\",65008\r\nART-9558881,Harold Cruz,Truth fight state source. Surface center vote section year until relationship. Company body walk mai,Diverse next generation migration,2026-01-02T00:46:12.550931,Business,1263,\"[\"\"generation\"\", \"\"parent\"\", \"\"power\"\", \"\"ground\"\"]\",86036\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 285
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate sales analytics data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"January 2021\"\ntotal_revenue = 6040623\nunits_sold = 51823\n[[channels]]\nname = \"wholesale\"\nrevenue = 200782\ngrowth = 1.63\n\n[[channels]]\nname = \"online\"\nrevenue = 213718\ngrowth = 33.09\n\n[[top_products]]\nsku = \"SKU-1534\"\nsales = 243040\n\n[[top_products]]\nsku = \"SKU-6600\"\nsales = 290674\n\n[[top_products]]\nsku = \"SKU-8709\"\nsales = 44589\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 159
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output lab result as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-6817528</result_id>\n<patient_mrn>MRN-230360</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>173.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>159.3</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>184.3</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>157.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>71.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>53.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 274
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"April 2022\"\ntotal_revenue = 3111974\nunits_sold = 86316\n[[channels]]\nname = \"wholesale\"\nrevenue = 2873728\ngrowth = 9.88\n\n[[channels]]\nname = \"retail\"\nrevenue = 2607344\ngrowth = 45.34\n\n[[top_products]]\nsku = \"SKU-2924\"\nsales = 133418\n\n[[top_products]]\nsku = \"SKU-4991\"\nsales = 490532\n\n[[top_products]]\nsku = \"SKU-3374\"\nsales = 94347\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 160
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate social media post data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nSouth man about raise. Sometimes list choice foreign phone partner. Onto get happy peace their sell ,198,777,739,\"[\"\"#hotel\"\", \"\"#push\"\"]\",instagram,POST-35992455,2026-01-06T09:43:29.734630,f136af73-c79b-4191-bd0a-263eeb482611,hendricksrebecca\r\nSound ok film leader machine college today indicate. Dark rate stage military television around.,260,8032,668,\"[\"\"#early\"\", \"\"#drop\"\", \"\"#listen\"\", \"\"#little\"\"]\",twitter,POST-55810805,2026-01-06T09:43:29.735804,a1af28ab-5dbe-4cbe-8144-e0510879049e,heaton\r\n\"Month describe local bank. Try partner go south seat laugh.\nMemory recent add third ground check pla\",282,2159,727,\"[\"\"#commercial\"\", \"\"#capital\"\", \"\"#all\"\", \"\"#project\"\"]\",twitter,POST-53153690,2026-01-06T09:43:29.736128,7f88c4d3-e781-449b-ad21-601e8103569d,emily84\r\nRest ability poor report there. American long present certainly. Ago audience often agency sound in ,320,7969,535,\"[\"\"#outside\"\", \"\"#defense\"\"]\",twitter,POST-88559651,2026-01-06T09:43:29.736420,90d3696f-e7c4-4b41-a0f0-52aa6e0c8ca8,ronald31\r\nFact challenge quickly through institution. Treatment measure yard organization investment particula,44,5767,309,\"[\"\"#people\"\", \"\"#live\"\"]\",facebook,POST-47503451,2026-01-06T09:43:29.736715,c33dcf93-f872-4971-8e67-732416fdd6be,myork\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 418
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need prescription details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nprescriber: John Mitchell\nmedications:\n- name: Metformin\n dosage: 10mg\n frequency: daily\n quantity: 60\n- name: Lisinopril\n dosage: 10mg\n frequency: TID\n quantity: 60\nrx_id: RX-7173717\npatient_mrn: MRN-333670\ndate: '2026-01-02'\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 136
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"course_id\": \"CRS-3124\",\n \"code\": \"DWP236\",\n \"title\": \"Profit-focused bifurcated standardization 101\",\n \"instructor\": \"Mary Adkins\",\n \"credits\": 3,\n \"term\": \"Spring 2024\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"when\"\n },\n {\n \"week\": 2,\n \"topic\": \"central\"\n },\n {\n \"week\": 3,\n \"topic\": \"upon\"\n },\n {\n \"week\": 4,\n \"topic\": \"address\"\n },\n {\n \"week\": 5,\n \"topic\": \"bag\"\n },\n {\n \"week\": 6,\n \"topic\": \"less\"\n },\n {\n \"week\": 7,\n \"topic\": \"billion\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 239
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate experiment result data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-740077\"\ntitle = \"Effect of white on evening\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 10.89\nendpoint = 58.96\np_value = 0.0511\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 25.37\nendpoint = 97.69\np_value = 0.2018\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 869\nduration_days = 32\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 157
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-1579503\nheadline: Profit-focused secondary synergy\nauthor: Regina Barnes\npublished: '2026-01-04T05:12:00.131795'\nsection: Politics\ncontent: 'Budget impact skill young. Certain measure brother.\n\n Area idea collection establish accept wish. Skill seven arrive success model ground\n media. Paper statement serious.\n\n Beyond community development professor check attack. Rest high use this pressure.'\ntags:\n- run\n- occur\n- expect\nviews: 26035\nshares: 1458\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "news_article",
"estimated_tokens": 195
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate course syllabus data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nDVL286,CRS-2434,4,40,30,30,Scott Kim,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"laugh\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"success\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"between\"\"}, {\"\"\",Spring 2020,Inverse national capacity 101\r\nPAQ433,CRS-7464,4,40,30,30,Daniel Barton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"painting\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"understand\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"list\"\"},\",Fall 2021,Multi-layered national conglomeration 101\r\nTXD278,CRS-8722,4,40,30,30,Brenda Peterson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"enough\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"win\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"choice\"\"}, {\"\"week\",Fall 2024,Ameliorated regional pricing structure 101\r\nHZP466,CRS-4717,4,40,30,30,Jesus Allen,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"now\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"we\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"region\"\"}, {\"\"week\"\": 4\",Spring 2020,Optional web-enabled time-frame 101\r\nOTR418,CRS-1484,4,40,30,30,Christina Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"though\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"eat\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"teach\"\"}, {\"\"week\"\"\",Spring 2022,Reduced bi-directional support 101\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 368
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1192\"\ncode = \"ZNH157\"\ntitle = \"Extended didactic policy 101\"\ninstructor = \"Mario Gonzalez\"\ncredits = 3\nterm = \"Spring 2020\"\n[[schedule]]\nweek = 1\ntopic = \"base\"\n\n[[schedule]]\nweek = 2\ntopic = \"of\"\n\n[[schedule]]\nweek = 3\ntopic = \"think\"\n\n[[schedule]]\nweek = 4\ntopic = \"other\"\n\n[[schedule]]\nweek = 5\ntopic = \"you\"\n\n[[schedule]]\nweek = 6\ntopic = \"boy\"\n\n[[schedule]]\nweek = 7\ntopic = \"after\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 188
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate course syllabus data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5299\"\ncode = \"BFV450\"\ntitle = \"Future-proofed transitional access 101\"\ninstructor = \"Margaret Waters\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"church\"\n\n[[schedule]]\nweek = 2\ntopic = \"reality\"\n\n[[schedule]]\nweek = 3\ntopic = \"figure\"\n\n[[schedule]]\nweek = 4\ntopic = \"similar\"\n\n[[schedule]]\nweek = 5\ntopic = \"indicate\"\n\n[[schedule]]\nweek = 6\ntopic = \"worry\"\n\n[[schedule]]\nweek = 7\ntopic = \"teacher\"\n\n[[schedule]]\nweek = 8\ntopic = \"maybe\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 205
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate student assessment data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-535894\"\nstudent_id = \"STU-934945\"\ncourse_id = \"CRS-4268\"\ntype = \"assignment\"\ndate = \"2026-01-05\"\ntotal_score = 92\npercentage = 97.33\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 1\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 293
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need clinical note details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6662058\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K80\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K73\"\n\n[vitals]\nbp = \"172/75\"\nhr = 74\ntemp_f = 98.0\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 131
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: e9863bf2-1156-4ee5-936b-cb846c109979\ntimestamp: '2026-01-06T09:43:30.292641'\nlevel: ERROR\nservice: costService\nmessage: Usually south space like.\nstack_trace:\n- at hand.py:400\n- at turn.py:462\n- at economy.py:282\ncontext:\n user_id: d90b4db0-f54c-4172-8632-50621e65f6a0\n request_id: 0d6e60e7-88b3-4be5-b67b-5ef5e668afd7\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 159
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output customer review as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock,user_id,verified_purchase\r\n,Skin garden whole media city property speech. Ready few voice new more. Process have nearly item.,,,,,PROD-237264,,,,,,f4c2e919-6b38-4b45-984b-efd7769b0469,True\r\nclothing,,USD,True,Managed optimal encryption,37.14,PROD-896782,3.14,279,85x61x32cm,12.22,898,,\r\nelectronics,,USD,True,Profound reciprocal definition,926.7,PROD-522191,3.3,526,48x65x72cm,36.26,879,,\r\nbooks,,USD,True,Secured secondary groupware,720.81,PROD-441930,2.94,480,81x50x35cm,37.09,275,,\r\nclothing,,USD,True,Multi-layered tangible interface,546.01,PROD-608799,3.93,865,95x55x56cm,39.58,291,,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "customer_review",
"estimated_tokens": 254
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion: non-significant\nresults:\n- metric: efficacy\n baseline: 93.21\n endpoint: 61.08\n p_value: 0.4497\n- metric: efficacy\n baseline: 62.35\n endpoint: 40.58\n p_value: 0.0611\nexperiment_id: EXP-212826\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 131
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output financial report as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"company\": \"Gutierrez Inc\",\n \"ticker\": \"SEWA\",\n \"quarter\": \"Q3 2022\",\n \"revenue\": 13510189,\n \"expenses\": 4451883,\n \"net_income\": 9920815,\n \"eps\": 9.2,\n \"metrics\": {\n \"profit_margin\": 19.12,\n \"roe\": 12.89\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 135
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"company\": \"Torres, Foley and French\",\n \"ticker\": \"PUPR\",\n \"quarter\": \"Q3 2021\",\n \"revenue\": 29498696,\n \"expenses\": 77360154,\n \"net_income\": 1170225,\n \"eps\": 8.95,\n \"metrics\": {\n \"profit_margin\": 26.14,\n \"roe\": 10.7\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 138
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need social media post details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nStreet our allow enough. Collection street scene number away animal commercial. Republican down seni,84,8848,629,\"[\"\"#during\"\", \"\"#others\"\"]\",twitter,POST-53833800,2026-01-06T09:43:29.817322,260b115a-c655-4a4f-8454-24edfeb18782,nfox\r\nBad future without win probably line look. Catch open finish act.,48,6314,461,\"[\"\"#study\"\", \"\"#language\"\"]\",twitter,POST-43567114,2026-01-06T09:43:29.818810,4a67ff0a-ba65-46b0-b3ed-23cfd0bc2815,lharris\r\n\"Shoulder last animal development. Six fly head. Learn financial soon must pressure not.\nForget enjoy\",113,2286,452,\"[\"\"#wrong\"\", \"\"#hot\"\", \"\"#dog\"\", \"\"#card\"\"]\",twitter,POST-31550136,2026-01-06T09:43:29.819436,dfe2df20-900e-4dd9-bf9c-72f84936a6b7,bradfordsteven\r\nInto personal tell create condition hope. End face game smile trouble. Father require per modern sce,142,3490,565,\"[\"\"#daughter\"\", \"\"#move\"\", \"\"#majority\"\"]\",twitter,POST-56510988,2026-01-06T09:43:29.820118,698c562e-fefa-4744-9809-b363d5b4dc5f,wisemegan\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 346
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date = \"2026-01-03\"\nresult_id = \"LAB-5909817\"\npanel = \"CMP\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 90
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n,CBC,MRN-337496,LAB-2862772,\r\n2026-01-04,Lipid,MRN-341100,LAB-1041760,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 137.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-05,CBC,MRN-117376,LAB-4050348,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 51.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 175.\"\r\n2026-01-02,Lipid,MRN-152456,LAB-2052336,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 102.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": \"\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 218
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Produce a XML document for a social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-43480776</post_id>\n<platform>facebook</platform>\n<user_id>6e857faf-69fd-4188-b32d-7567a839f60d</user_id>\n<username>fpeterson</username>\n<content>Air young positive history rest account region help. Sell hear lose financial. Mind shoulder deep word late water.</content>\n<timestamp>2026-01-06T09:43:31.417084</timestamp>\n<hashtags>#drop</hashtags>\n<hashtags>#leave</hashtags>\n<hashtags>#technology</hashtags>\n<hashtags>#fish</hashtags>\n<engagement>\n<likes>8954</likes>\n<shares>708</shares>\n<comments>211</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 233
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate student assessment data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"assessment_id\": \"ASMT-727903\",\n \"student_id\": \"STU-924122\",\n \"course_id\": \"CRS-5645\",\n \"type\": \"assignment\",\n \"date\": \"2026-01-02\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 8,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 4,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 8,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 9,\n \"points_earned\": 5,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 84,\n \"percentage\": 90.34,\n \"grade\": \"B\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 332
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need transaction record details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npayment_method = \"credit_card\"\ntax = 38.53\ntotal = 1356.87\ncustomer_id = \"418f64e5-bc12-4262-8eda-29f5bf91699f\"\n[[items]]\nsku = \"SKU-25291\"\nqty = 3\nprice = 354.92\n\n[[items]]\nsku = \"SKU-85521\"\nqty = 5\nprice = 36.14\n\n[[items]]\nsku = \"SKU-90330\"\nqty = 5\nprice = 162.2\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 142
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3015500</note_id>\n<patient>\n<mrn>MRN-331280</mrn>\n<age>78</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>158/100</bp>\n<hr>113</hr>\n<temp_f>101.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J23</icd10>\n</assessment>\n</clinical_note>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 180
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 2251675, \"\"growth\"\": 49.05}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 443598, \"\"gro\",,,,,July 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-8555\"\", \"\"sales\"\": 81952}, {\"\"sku\"\": \"\"SKU-5583\"\", \"\"sales\"\": 464876}, {\"\"sku\"\": \"\"SKU-1703\"\", \"\"sal\",1217170,89713\r\nQuestion paper early dog laugh air hair main. Writer person behind just son.,\"[{\"\"name\"\": \"\"Francis Williams\"\", \"\"affiliation\"\": \"\"Bennett Group\"\", \"\"email\"\": \"\"kevin77@example.net\"\"}, {\"\"nam\",,156,None,\"[\"\"around\"\", \"\"stay\"\", \"\"chance\"\", \"\"why\"\"]\",arXiv:2023.23307,,10.5329/voBa,Science,2023,Optional attitude-oriented database,,,\r\nAt long check. Suffer great western suddenly low. Back benefit in join firm wife. Less me though rec,\"[{\"\"name\"\": \"\"Andrew Hall MD\"\", \"\"affiliation\"\": \"\"Reid Ltd\"\", \"\"email\"\": \"\"wrightmatthew@example.net\"\"}, {\"\"name\",,114,Kelly-Martinez,\"[\"\"bed\"\", \"\"debate\"\", \"\"money\"\"]\",arXiv:2023.98037,,10.9456/axWR,Science,2023,Open-architected web-enabled challenge,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 361
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nstack_trace = [ \"at color.py:327\", \"at worry.py:46\", \"at hour.py:180\", \"at final.py:323\",]\nlevel = \"CRITICAL\"\n\n[context]\nuser_id = \"eac252e8-d766-4112-ba23-a458d5e6a362\"\nrequest_id = \"e0bc3762-2330-46ae-9575-08f64ffc48c3\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "error_log",
"estimated_tokens": 129
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"May 2022\"\ntotal_revenue = 5461722\nunits_sold = 59103\n[[channels]]\nname = \"online\"\nrevenue = 181374\ngrowth = 12.31\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4872532\ngrowth = 3.21\n\n[[top_products]]\nsku = \"SKU-1631\"\nsales = 49582\n\n[[top_products]]\nsku = \"SKU-4839\"\nsales = 51047\n\n[[top_products]]\nsku = \"SKU-5843\"\nsales = 115177\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 159
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need social media post details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Try system possible ball.\nMorning interview respond service claim voice international. Likely next a\",396,7505,513,\"[\"\"#argue\"\", \"\"#brother\"\", \"\"#and\"\"]\",twitter,POST-86136198,2026-01-06T09:43:32.853135,3fc1294e-2839-49b6-8631-92455943ed7f,martinchristopher\r\n\"Land note think officer offer read wonder. Western the draw room. Rock list soon fill also.\nFive civ\",282,3400,835,\"[\"\"#personal\"\", \"\"#I\"\"]\",instagram,POST-51325481,2026-01-06T09:43:32.855479,28e73b8d-bc13-4e7f-be8d-1792c5dc3541,johnny90\r\nDiscuss may see side us believe identify. Civil marriage beyond toward nice hit throw.,468,7975,138,\"[\"\"#three\"\", \"\"#condition\"\", \"\"#city\"\", \"\"#agency\"\"]\",facebook,POST-36772873,2026-01-06T09:43:32.857657,30a867e8-3da5-4ce3-aee0-3d0486718807,beckyrodriguez\r\n\"Agreement keep above plant test.\nParty upon know pressure charge. Away analysis phone walk alone ind\",191,8034,410,\"[\"\"#dream\"\", \"\"#happy\"\", \"\"#cell\"\"]\",instagram,POST-36834557,2026-01-06T09:43:32.858444,166bacdf-7167-4aa0-b837-6d5e99370994,williamsonscott\r\nHigh talk catch actually behind under store word. Phone everyone training light marriage. Test preve,395,8121,93,\"[\"\"#clearly\"\", \"\"#treat\"\", \"\"#property\"\"]\",instagram,POST-63409803,2026-01-06T09:43:32.859200,9482d07e-dbcb-48d4-9ffa-7379f7d8f35c,klinedarryl\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 425
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output clinical note as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"note_id\": \"CN-9436830\",\n \"patient\": {\n \"mrn\": \"MRN-199885\",\n \"age\": 56,\n \"gender\": \"M\"\n },\n \"encounter_date\": \"2026-01-03\",\n \"chief_complaint\": \"headache\",\n \"vitals\": {\n \"bp\": \"148/67\",\n \"hr\": 107,\n \"temp_f\": 102.0\n },\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"J14\"\n },\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"K93\"\n },\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"I55\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 193
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need research paper details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.59325\"\ntitle = \"Centralized contextually-based website\"\nabstract = \"Mouth matter relate approach indicate evening myself. Chance for day Mrs sit begin. Pull machine structure reveal network.\"\nkeywords = [ \"produce\", \"participant\", \"analysis\",]\ncitations = 407\n[[authors]]\nname = \"John Robertson\"\naffiliation = \"Phillips-Fields\"\nemail = \"joshuaallen@example.org\"\n\n[[authors]]\nname = \"Anna Jackson\"\naffiliation = \"Rasmussen Group\"\nemail = \"danielsaustin@example.net\"\n\n[[authors]]\nname = \"Susan Hill\"\naffiliation = \"Davidson, Hoffman and Patrick\"\nemail = \"scottgallagher@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.2487/ifKW\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 242
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate contract data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-778333\nparties:\n- name: Bowen Ltd\n role: party_a\n- name: Richardson and Sons\n role: party_b\neffective_date: '2026-01-05'\nterm_months: 34\nvalue: 228209\nstatus: executed\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 122
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7233\"\ncode = \"KEF210\"\ntitle = \"Synchronized client-server concept 101\"\ninstructor = \"Christine Campbell\"\ncredits = 4\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"enjoy\"\n\n[[schedule]]\nweek = 2\ntopic = \"pick\"\n\n[[schedule]]\nweek = 3\ntopic = \"year\"\n\n[[schedule]]\nweek = 4\ntopic = \"technology\"\n\n[[schedule]]\nweek = 5\ntopic = \"people\"\n\n[[schedule]]\nweek = 6\ntopic = \"his\"\n\n[[schedule]]\nweek = 7\ntopic = \"commercial\"\n\n[[schedule]]\nweek = 8\ntopic = \"health\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 205
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output customer review as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5230809\nproduct_id: PROD-904016\nuser_id: 48e4fc71-c074-4e75-abea-e5757bb1be3b\nrating: 4\ntitle: Cost goal break ask from point traditional.\ncontent: 'Pretty inside feeling light.\n\n Worry structure traditional phone.\n\n Manager leave city a without election. Many maybe adult various others. Page wrong\n arrive.'\ndate: '2026-01-03'\nverified_purchase: true\nhelpful_votes: 82\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 175
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need clinical note details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I85\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I71\"\"}]\",chest pain,,CN-8407617,88,M,MRN-133492,,,\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K47\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I30\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-04,CN-2811570,21,F,MRN-581244,90/69,102,101.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J98\"\"}]\",headache,2026-01-03,CN-8024369,35,F,MRN-311323,158/89,96,100.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J59\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K64\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-05,CN-8323792,37,F,MRN-775923,156/85,89,100.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I59\"\"}]\",headache,2026-01-04,CN-7580125,29,F,MRN-287690,152/67,63,98.7\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 298
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nstatus = \"pending\"\nvalue = 792690\ncontract_id = \"CTR-182997\"\nterm_months = 53\n[[parties]]\nname = \"Brown-Harris\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Soto, Terry and Lewis\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 121
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output sales analytics as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>July 2020</period>\n<total_revenue>4572735</total_revenue>\n<units_sold>82296</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3582206</revenue>\n<growth>43.17</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>368832</revenue>\n<growth>6.46</growth>\n</channels>\n<top_products>\n<sku>SKU-5026</sku>\n<sales>162295</sales>\n</top_products>\n<top_products>\n<sku>SKU-8773</sku>\n<sales>217699</sales>\n</top_products>\n<top_products>\n<sku>SKU-7902</sku>\n<sales>395870</sales>\n</top_products>\n</sales_analytics>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 221
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Produce a XML document for a social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-53833800</post_id>\n<platform>twitter</platform>\n<user_id>260b115a-c655-4a4f-8454-24edfeb18782</user_id>\n<username>nfox</username>\n<content>Street our allow enough. Collection street scene number away animal commercial. Republican down senior.</content>\n<timestamp>2026-01-06T09:43:29.817322</timestamp>\n<hashtags>#during</hashtags>\n<hashtags>#others</hashtags>\n<engagement>\n<likes>8848</likes>\n<shares>629</shares>\n<comments>84</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 214
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"note_id\": \"CN-1394512\",\n \"patient\": {\n \"mrn\": \"MRN-917506\",\n \"age\": 78,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-01\",\n \"chief_complaint\": \"chest pain\",\n \"vitals\": {\n \"bp\": \"155/73\",\n \"hr\": 114,\n \"temp_f\": 100.8\n },\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"I15\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 161
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,885ef256-c971-4123-b55b-c749aa5a4a2f,66a807a4-5dca-4fee-b3a2-e04d92bc0fbc,7ba58b8f-2d40-4e84-bfd9-ab92304360e2,,,ERROR,Program provide recognize alone media wait analysis.,,,,,middleService,\"[\"\"at new.py:376\"\", \"\"at take.py:181\"\", \"\"at strategy.py:363\"\"]\",2026-01-06T09:43:30.353465,\r\nEight contain stage station floor expert by person. Interest finally stay herself operation. Tough b,\"[{\"\"name\"\": \"\"Darryl Allen\"\", \"\"affiliation\"\": \"\"Jackson-Harrison\"\", \"\"email\"\": \"\"marcsmith@example.org\"\"}, {\"\"na\",415,,,,\"Brooks, Martinez and Williamson\",\"[\"\"game\"\", \"\"if\"\", \"\"remember\"\"]\",,,arXiv:2022.27920,10.4522/oHyI,Nature,2022,,,,Automated zero tolerance extranet\r\nPoor floor mission final report pay. At church cultural real day order.,\"[{\"\"name\"\": \"\"Luis Mcguire\"\", \"\"affiliation\"\": \"\"Torres, Miller and Coffey\"\", \"\"email\"\": \"\"jsmith@example.org\"\"}\",377,,,,None,\"[\"\"speech\"\", \"\"son\"\", \"\"off\"\", \"\"also\"\"]\",,,arXiv:2022.99796,10.1794/GwbO,Cell,2023,,,,Re-contextualized static architecture\r\nThree fact office serve fund career. Idea type ahead traditional news specific most.,\"[{\"\"name\"\": \"\"Peter Jackson\"\", \"\"affiliation\"\": \"\"Montoya Ltd\"\", \"\"email\"\": \"\"williecampbell@example.com\"\"}, {\"\"n\",454,,,,None,\"[\"\"up\"\", \"\"beat\"\", \"\"show\"\", \"\"serve\"\"]\",,,arXiv:2023.70507,10.6024/VfLW,Science,2022,,,,Cross-group object-oriented groupware\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 460
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date = \"2026-01-04\"\npanel = \"CMP\"\nresult_id = \"LAB-8106223\"\npatient_mrn = \"MRN-969104\"\n[[results]]\ntest = \"WBC\"\nvalue = 136.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 60.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 81.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 106.0\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 184.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 155.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 148.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 223
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need experiment result details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-232060\",\n \"title\": \"Effect of address on great\",\n \"methodology\": {\n \"design\": \"observational\",\n \"sample_size\": 336,\n \"duration_days\": 265\n },\n \"results\": [\n {\n \"metric\": \"safety\",\n \"baseline\": 21.21,\n \"endpoint\": 55.1,\n \"p_value\": 0.2589\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 20.35,\n \"endpoint\": 73.96,\n \"p_value\": 0.4316\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 68.94,\n \"endpoint\": 84.29,\n \"p_value\": 0.2084\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 220
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-2117136\npatient:\n mrn: MRN-453205\n age: 71\n gender: M\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n bp: 179/77\n hr: 79\n temp_f: 99.9\nassessment:\n- problem: diabetes\n icd10: J25\n- problem: hypertension\n icd10: K35\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 140
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output sales analytics as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>8086751</total_revenue>\n<units_sold>71190</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>1341728</revenue>\n<growth>39.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>214429</revenue>\n<growth>32.35</growth>\n</channels>\n<top_products>\n<sku>SKU-2205</sku>\n<sales>145682</sales>\n</top_products>\n<top_products>\n<sku>SKU-7005</sku>\n<sales>280084</sales>\n</top_products>\n<top_products>\n<sku>SKU-4811</sku>\n<sales>311170</sales>\n</top_products>\n</sales_analytics>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 223
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-929349\"\neffective_date = \"2026-01-02\"\nterm_months = 55\nvalue = 619324\nstatus = \"pending\"\n[[parties]]\nname = \"Hernandez Inc\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Rivera-Becker\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 126
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Produce a XML document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-4526244</review_id>\n<product_id>PROD-472796</product_id>\n<user_id>d6aaa9d3-89d1-4f04-afb6-0c81ca1eaf74</user_id>\n<rating>2</rating>\n<title>Control account commercial small.</title>\n<content>Game open idea practice word theory. Face power cultural money.\nIndeed continue heart season. View against position more say end course. Situation hope enjoy around.</content>\n<date>2026-01-04</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>18</helpful_votes>\n</customer_review>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 216
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need financial report details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"company\": \"Flynn-Carr\",\n \"ticker\": \"MRVI\",\n \"quarter\": \"Q4 2021\",\n \"revenue\": 73436291,\n \"expenses\": 22495171,\n \"net_income\": 14569315,\n \"eps\": 3.22,\n \"metrics\": {\n \"profit_margin\": 10.13,\n \"roe\": 21.35\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 134
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output transaction record as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n59380938-357c-4ae5-aa88-2ceb1bc7b532,\"[{\"\"sku\"\": \"\"SKU-36180\"\", \"\"qty\"\": 2, \"\"price\"\": 233.08}, {\"\"sku\"\": \"\"SKU-30422\"\", \"\"qty\"\": 5, \"\"price\"\": 50.84}, {\"\"\",credit_card,1105.52,160.6,2026-01-06T09:43:32.112469,2044.99,TXN-41210216\r\n579e8653-8189-4a8a-9ff1-0849207cf028,\"[{\"\"sku\"\": \"\"SKU-66499\"\", \"\"qty\"\": 4, \"\"price\"\": 274.48}]\",paypal,390.1,28.39,2026-01-06T09:43:32.116765,1746.62,TXN-88623179\r\nff554fba-7c1d-4e19-9656-2f9e8adfba26,\"[{\"\"sku\"\": \"\"SKU-57025\"\", \"\"qty\"\": 1, \"\"price\"\": 179.81}, {\"\"sku\"\": \"\"SKU-12015\"\", \"\"qty\"\": 3, \"\"price\"\": 263.17}, {\",credit_card,1847.81,93.23,2026-01-06T09:43:32.116899,1653.66,TXN-16573114\r\n4965dcfa-ea60-4f8d-a53f-08600fcdf515,\"[{\"\"sku\"\": \"\"SKU-27441\"\", \"\"qty\"\": 4, \"\"price\"\": 314.52}]\",apple_pay,641.83,29.89,2026-01-06T09:43:32.117008,1595.92,TXN-98253764\r\n416b0218-eb31-4e0d-8810-fcfd7d53c2d7,\"[{\"\"sku\"\": \"\"SKU-47389\"\", \"\"qty\"\": 2, \"\"price\"\": 366.35}]\",credit_card,1763.75,7.39,2026-01-06T09:43:32.117111,1822.25,TXN-72496872\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 337
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output experiment result as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmethodology:\n design: observational\n sample_size: 703\n duration_days: 135\nexperiment_id: EXP-633881\nresults:\n- metric: efficacy\n baseline: 34.59\n endpoint: 92.52\n p_value: 0.0801\n- metric: safety\n baseline: 73.59\n endpoint: 53.09\n p_value: 0.0793\n- metric: safety\n baseline: 90.67\n endpoint: 80.17\n p_value: 0.3855\n- metric: efficacy\n baseline: 94.34\n endpoint: 11.22\n p_value: 0.115\ntitle: Effect of head on actually\nconclusion: significant\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 193
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need transaction record details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"txn_id\": \"TXN-97907464\",\n \"customer_id\": \"2bedc7f2-81fc-428e-8905-082f3269a8ac\",\n \"timestamp\": \"2026-01-06T09:43:31.929253\",\n \"items\": [\n {\n \"sku\": \"SKU-71851\",\n \"qty\": 1,\n \"price\": 387.94\n }\n ],\n \"subtotal\": 521.89,\n \"tax\": 92.88,\n \"total\": 1428.8,\n \"payment_method\": \"credit_card\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 158
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6813259\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I96\"\n\n[patient]\nmrn = \"MRN-829723\"\nage = 40\ngender = \"M\"\n\n[vitals]\nbp = \"167/107\"\nhr = 108\ntemp_f = 101.8\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 132
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need financial report details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"company\": \"Phillips-Serrano\",\n \"ticker\": \"XCBF\",\n \"quarter\": \"Q1 2023\",\n \"revenue\": 18817584,\n \"expenses\": 21245046,\n \"net_income\": 9336199,\n \"eps\": 6.52,\n \"metrics\": {\n \"profit_margin\": 8.9,\n \"roe\": 9.84\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 135
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>0340ba39-8675-4ce7-a26c-314daf9a59fe</error_id>\n<timestamp>2026-01-06T09:43:32.633543</timestamp>\n<level>ERROR</level>\n<service>goodService</service>\n<message>Purpose remain usually report.</message>\n<stack_trace>at discuss.py:192</stack_trace>\n<stack_trace>at artist.py:381</stack_trace>\n<stack_trace>at safe.py:391</stack_trace>\n<stack_trace>at course.py:266</stack_trace>\n<context>\n<user_id>4ac8ea49-fb7c-44f9-bb01-ced755fa7cf8</user_id>\n<request_id>ca5ac3bd-9fe7-4112-a928-203e522e958f</request_id>\n</context>\n</error_log>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 222
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"content\": \"Fine word growth guess may their sit.\\nCold buy thank effect human job. Tree book Democrat.\\nInstead adult protect staff. Yourself worry rather eight wear everybody want describe.\\nReach hotel possible appear. Much billion under available able.\",\n \"author\": \"Yvonne Barnes\",\n \"article_id\": \"ART-6059003\",\n \"tags\": [\n \"player\",\n \"international\",\n \"prepare\",\n \"rise\"\n ],\n \"headline\": \"Secured transitional application\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 191
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 432268, \"\"growth\"\": 7.09}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1032274, \"\"g\",,,,,September 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-2208\"\", \"\"sales\"\": 290396}, {\"\"sku\"\": \"\"SKU-3451\"\", \"\"sales\"\": 297775}, {\"\"sku\"\": \"\"SKU-9401\"\", \"\"sa\",5982372,78089\r\nCut piece very during. Price college tough the box war seven. Human capital simple identify physical,\"[{\"\"name\"\": \"\"Joshua Vincent\"\", \"\"affiliation\"\": \"\"Patel-Allen\"\", \"\"email\"\": \"\"jenniferwoodward@example.com\"\"}, \",,149,None,\"[\"\"meeting\"\", \"\"card\"\", \"\"local\"\", \"\"fish\"\"]\",arXiv:2024.65812,,10.1641/htar,Cell,2023,Stand-alone incremental monitoring,,,\r\nAccount picture analysis Mrs. Pick three third green happy house. Material dream culture. Similar un,\"[{\"\"name\"\": \"\"Linda Sutton\"\", \"\"affiliation\"\": \"\"Oconnor, Tapia and Vance\"\", \"\"email\"\": \"\"bradfordjoe@example.n\",,472,Navarro-Bennett,\"[\"\"spring\"\", \"\"tree\"\", \"\"security\"\", \"\"Mr\"\", \"\"at\"\"]\",arXiv:2023.60037,,10.5077/YkfK,Nature,2020,User-friendly asymmetric project,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 371
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-281707\"\neffective_date = \"2026-01-01\"\nterm_months = 60\nvalue = 889675\nstatus = \"active\"\n[[parties]]\nname = \"Salazar and Sons\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Thompson Inc\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 126
}
|
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