messages
listlengths 3
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dict |
|---|---|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output social media post as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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:\npost_id = \"POST-69406873\"\ncontent = \"Stay one mission different agree option. Research discuss gas door which. Maybe likely east authority all side child. Sea sure ground professor.\"\ntimestamp = \"2026-01-06T09:43:30.054799\"\nhashtags = [ \"#crime\", \"#president\", \"#tell\", \"#over\",]\n\n[engagement]\nlikes = 3924\nshares = 978\ncomments = 156\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 159
}
|
[
{
"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-254069\nstudent_id: STU-414136\ncourse_id: CRS-7594\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n points_earned: 6\n points_possible: 10\n- question: 2\n points_earned: 9\n points_possible: 10\n- question: 3\n points_earned: 1\n points_possible: 10\n- question: 4\n points_earned: 2\n points_possible: 10\n- question: 5\n points_earned: 5\n points_possible: 10\n- question: 6\n points_earned: 4\n points_possible: 10\n- question: 7\n points_earned: 2\n points_possible: 10\n- question: 8\n points_earned: 3\n points_possible: 10\n- question: 9\n points_earned: 0\n points_possible: 10\n- question: 10\n points_earned: 10\n points_possible: 10\n- question: 11\n points_earned: 5\n points_possible: 10\ntotal_score: 84\npercentage: 90.1\ngrade: B\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 268
}
|
[
{
"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 experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment 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:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-633881,observational,135,703,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 34.59, \"\"endpoint\"\": 92.52, \"\"p_value\"\": 0.0801}, {\"\"metric\"\": \"\"safety\",Effect of head on actually\r\nsignificant,EXP-836194,observational,152,516,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 88.34, \"\"endpoint\"\": 58.6, \"\"p_value\"\": 0.4204}, {\"\"metric\"\": \"\"safety\"\"\",Effect of level on economy\r\nnon-significant,EXP-893402,RCT,119,417,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 95.98, \"\"endpoint\"\": 17.88, \"\"p_value\"\": 0.3526}, {\"\"metric\"\": \"\"efficacy\",Effect of receive on value\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 246
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need course syllabus details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus 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:\ncourse_id: CRS-8609\ninstructor: Angela Beasley\ncode: FQI391\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 94
}
|
[
{
"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: 11bae775-9aa7-4b0a-8088-801c0a1d28a8\ntimestamp: '2026-01-06T09:43:32.241523'\nlevel: ERROR\nservice: militaryService\nmessage: Day pull question.\nstack_trace:\n- at somebody.py:37\n- at middle.py:494\ncontext:\n user_id: 1898c440-5c1c-4b6e-b958-d10d95c79ab8\n request_id: e7ec8e91-0af0-4b08-b469-32f8dbbebf17\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 154
}
|
[
{
"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: 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<lab_result>\n<panel>Lipid</panel>\n<result_id>LAB-2052546</result_id>\n<order_date>2026-01-02</order_date>\n<results>\n<test>Glucose</test>\n<value>97.8</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>72.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>78.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>133.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>117.2</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>80.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>186.4</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<patient_mrn>MRN-874630</patient_mrn>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 300
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need sales analytics details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics 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:\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\"\": \"\"wholesale\"\", \"\"revenue\"\": 1417690, \"\"growth\"\": 3.46}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1490990, \"\"\",,,,,June 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-8876\"\", \"\"sales\"\": 207897}, {\"\"sku\"\": \"\"SKU-4217\"\", \"\"sales\"\": 342627}, {\"\"sku\"\": \"\"SKU-4746\"\", \"\"sa\",4767348,83155\r\nLaugh easy ten relate investment enough. Fly professional including as six. Image capital buy struct,\"[{\"\"name\"\": \"\"Julia Gibson\"\", \"\"affiliation\"\": \"\"Edwards, Carney and Freeman\"\", \"\"email\"\": \"\"richard92@example.\",,197,None,\"[\"\"late\"\", \"\"process\"\", \"\"mouth\"\"]\",arXiv:2023.13272,,10.1897/XAvD,Science,2022,Re-engineered homogeneous standardization,,,\r\nTerm cut serious art along apply. Course student huge hair your work son.,\"[{\"\"name\"\": \"\"Amber Salazar\"\", \"\"affiliation\"\": \"\"Andrade-Miranda\"\", \"\"email\"\": \"\"erivers@example.net\"\"}, {\"\"name\",,81,\"Shaw, Martinez and Mueller\",\"[\"\"measure\"\", \"\"plan\"\", \"\"any\"\", \"\"fall\"\"]\",arXiv:2023.52648,,10.9521/OOsx,Nature,2021,Synergized context-sensitive Internet solution,,,\r\nTurn really large hair view pressure investment. Represent reach never everyone build and. Present s,\"[{\"\"name\"\": \"\"Monica Chen\"\", \"\"affiliation\"\": \"\"Ray, Alexander and Foster\"\", \"\"email\"\": \"\"jessica07@example.org\",,336,None,\"[\"\"base\"\", \"\"board\"\", \"\"now\"\", \"\"couple\"\"]\",arXiv:2021.33250,,10.4113/xIib,Science,2020,Optional responsive toolset,,,\r\nColor nothing science since national writer one. Something school moment interesting protect season ,\"[{\"\"name\"\": \"\"Jeremy Le\"\", \"\"affiliation\"\": \"\"Marks, Ortiz and Pierce\"\", \"\"email\"\": \"\"romanhannah@example.net\"\"}\",,405,Barton-Bentley,\"[\"\"rich\"\", \"\"without\"\", \"\"actually\"\"]\",arXiv:2022.60853,,10.3338/CFJt,Nature,2024,Customizable human-resource data-warehouse,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "sales_analytics",
"estimated_tokens": 546
}
|
[
{
"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-1131870,Sara Anderson DDS,\"Live happen sound recently everyone drive sport. Bit page adult near. Easy camera care when.\nEnd nea\",Grass-roots background analyzer,2026-01-01T19:27:17.084080,Politics,3348,\"[\"\"nature\"\", \"\"experience\"\", \"\"involve\"\"]\",16245\r\nART-9875272,Robert Smith,Defense beyond data black order particularly. Movement up month build measure none. Customer camera ,Compatible intangible software,2026-01-01T23:59:50.808836,Tech,4350,\"[\"\"capital\"\", \"\"administration\"\", \"\"seat\"\", \"\"run\"\", \"\"history\"\"]\",72453\r\nART-6754146,Amanda Hall,Smile force act way continue citizen life. Miss final sign sound media look myself agency. Sound adu,Organized methodical access,2026-01-06T04:14:52.306570,Politics,3723,\"[\"\"thing\"\", \"\"end\"\", \"\"red\"\", \"\"learn\"\"]\",73168\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 286
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate contract data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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 \"contract_id\": \"CTR-176542\",\n \"parties\": [\n {\n \"name\": \"Fox-Garza\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Johnson, Rubio and Gonzales\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-04\",\n \"term_months\": 34,\n \"value\": 644021,\n \"status\": \"executed\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 150
}
|
[
{
"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 research paper."
},
{
"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:2021.37044\"\ntitle = \"Centralized secondary benchmark\"\nabstract = \"Garden information industry play smile. Least girl hair might. Tough might think wear thing experience already say.\"\nkeywords = [ \"century\", \"great\", \"manage\", \"assume\",]\ncitations = 225\nfunding_source = \"Cook PLC\"\n[[authors]]\nname = \"Elizabeth Hardy\"\naffiliation = \"Cooper-Le\"\nemail = \"christy03@example.org\"\n\n[[authors]]\nname = \"Jeffrey Parker\"\naffiliation = \"Green and Sons\"\nemail = \"bakerrachel@example.org\"\n\n[[authors]]\nname = \"Mary Nichols\"\naffiliation = \"Spears-White\"\nemail = \"timothy16@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2020\ndoi = \"10.4810/XJNh\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 238
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output news article as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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<news_article>\n<headline>Mandatory grid-enabled matrices</headline>\n<shares>1936</shares>\n<author>Elizabeth Jefferson</author>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 123
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output student assessment as YAML."
},
{
"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-727903\nstudent_id: STU-924122\ncourse_id: CRS-5645\ntype: assignment\ndate: '2026-01-02'\nscores:\n- question: 1\n points_earned: 7\n points_possible: 10\n- question: 2\n points_earned: 8\n points_possible: 10\n- question: 3\n points_earned: 2\n points_possible: 10\n- question: 4\n points_earned: 10\n points_possible: 10\n- question: 5\n points_earned: 4\n points_possible: 10\n- question: 6\n points_earned: 7\n points_possible: 10\n- question: 7\n points_earned: 7\n points_possible: 10\n- question: 8\n points_earned: 7\n points_possible: 10\n- question: 9\n points_earned: 5\n points_possible: 10\ntotal_score: 84\npercentage: 90.34\ngrade: B\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 242
}
|
[
{
"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: 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-1192\",\n \"code\": \"ZNH157\",\n \"title\": \"Extended didactic policy 101\",\n \"instructor\": \"Mario Gonzalez\",\n \"credits\": 3,\n \"term\": \"Spring 2020\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"base\"\n },\n {\n \"week\": 2,\n \"topic\": \"of\"\n },\n {\n \"week\": 3,\n \"topic\": \"think\"\n },\n {\n \"week\": 4,\n \"topic\": \"other\"\n },\n {\n \"week\": 5,\n \"topic\": \"you\"\n },\n {\n \"week\": 6,\n \"topic\": \"boy\"\n },\n {\n \"week\": 7,\n \"topic\": \"after\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 234
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate news article data in CSV format."
},
{
"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-4701131,Carol Higgins,\"May look away pass.\nSimply indicate left stand candidate yard. Whole including method ability media \",Re-engineered client-driven flexibility,2026-01-04T07:30:38.299184,Politics,1258,\"[\"\"wall\"\", \"\"security\"\", \"\"mother\"\"]\",15148\r\nART-5788658,Karl Rojas,\"Man church music push answer. Event bar recognize enough economic position.\nWhen including involve t\",Virtual 3rdgeneration conglomeration,2026-01-04T15:21:17.472091,Politics,131,\"[\"\"fill\"\", \"\"fire\"\", \"\"decision\"\", \"\"agent\"\", \"\"end\"\"]\",96325\r\nART-7654605,Greg Jones,According more choose medical century himself. Investment institution finish election grow live rath,Persistent 5thgeneration portal,2026-01-02T21:42:43.125043,Tech,280,\"[\"\"hard\"\", \"\"oil\"\", \"\"lead\"\", \"\"painting\"\", \"\"some\"\"]\",11808\r\nART-1972931,Kristy Chavez,\"With these husband today over.\nPush apply low. Building risk size skill high than discussion. Identi\",Public-key national matrix,2026-01-03T11:56:44.959254,Politics,660,\"[\"\"section\"\", \"\"space\"\", \"\"down\"\", \"\"ok\"\", \"\"shake\"\"]\",59943\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 353
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate student assessment data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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<student_assessment>\n<assessment_id>ASMT-727903</assessment_id>\n<student_id>STU-924122</student_id>\n<course_id>CRS-5645</course_id>\n<type>assignment</type>\n<date>2026-01-02</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>84</total_score>\n<percentage>90.34</percentage>\n<grade>B</grade>\n</student_assessment>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 412
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need research paper details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper 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:\npaper_id: arXiv:2020.18284\ntitle: Adaptive encompassing artificial intelligence\nauthors:\n- name: Amanda Chavez\n affiliation: Russell, Mejia and Barton\n email: hmiller@example.com\n- name: Benjamin Shah\n affiliation: Allen-Pena\n email: wyoung@example.net\nabstract: Glass amount again church maintain. Difference week think respond natural\n administration. Get should account head line now.\nkeywords:\n- election\n- design\n- PM\npublication:\n venue: Science\n year: 2023\n doi: 10.8286/QBBW\ncitations: 5\nfunding_source: Martinez, Ayers and Bowman\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "research_paper",
"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": "Output transaction record as JSON."
},
{
"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-96998587\",\n \"customer_id\": \"ee50bb87-b523-4e25-a457-71a20134c9ce\",\n \"timestamp\": \"2026-01-06T09:43:32.230191\",\n \"items\": [\n {\n \"sku\": \"SKU-38396\",\n \"qty\": 2,\n \"price\": 358.14\n },\n {\n \"sku\": \"SKU-16249\",\n \"qty\": 1,\n \"price\": 424.96\n },\n {\n \"sku\": \"SKU-37380\",\n \"qty\": 2,\n \"price\": 416.71\n },\n {\n \"sku\": \"SKU-19778\",\n \"qty\": 1,\n \"price\": 470.22\n }\n ],\n \"subtotal\": 641.99,\n \"tax\": 131.13,\n \"total\": 2135.0,\n \"payment_method\": \"paypal\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 215
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need financial report details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"White, Porter and Johnson\",7.68,64714004,18.04,24.88,11188781,Q3 2022,73048332,IARX\r\nWilson-Jones,5.76,18696825,24.31,18.83,6768428,Q2 2020,67601997,WOQL\r\nHill-Chen,4.25,931306,11.69,22.63,2298940,Q3 2021,87221713,JHGE\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 155
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need course syllabus details in YAML structure."
},
{
"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-7169\ncode: UPX251\ntitle: Grass-roots secondary product 101\ninstructor: Denise Higgins\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n topic: someone\n- week: 2\n topic: public\n- week: 3\n topic: role\n- week: 4\n topic: certainly\n- week: 5\n topic: above\n- week: 6\n topic: film\n- week: 7\n topic: represent\n- week: 8\n topic: spring\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 177
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate research paper data in CSV format."
},
{
"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\nSing loss third score answer house arrive. Push value maintain she kitchen result. Difference road u,\"[{\"\"name\"\": \"\"Monica Williams\"\", \"\"affiliation\"\": \"\"Bradford-Taylor\"\", \"\"email\"\": \"\"stephenslisa@example.org\"\"},\",188,Kennedy and Sons,\"[\"\"whose\"\", \"\"real\"\", \"\"another\"\", \"\"do\"\", \"\"anyone\"\"]\",arXiv:2023.25827,10.2438/BhYh,Nature,2022,Stand-alone empowering policy\r\nKnow listen its make of condition. Door cause method address mother over prove. Meet more term.,\"[{\"\"name\"\": \"\"Rebecca Campbell\"\", \"\"affiliation\"\": \"\"Simmons, Morton and Quinn\"\", \"\"email\"\": \"\"valenciasarah@ex\",144,Harris-Mccoy,\"[\"\"film\"\", \"\"student\"\", \"\"represent\"\", \"\"start\"\"]\",arXiv:2021.34284,10.1633/HaBT,Nature,2023,Ergonomic non-volatile infrastructure\r\nState likely phone mention strategy. Partner hundred who drop. Serious get compare himself. Agent ro,\"[{\"\"name\"\": \"\"Gary Hall\"\", \"\"affiliation\"\": \"\"Stevenson Group\"\", \"\"email\"\": \"\"uwhite@example.com\"\"}, {\"\"name\"\": \"\"B\",437,None,\"[\"\"once\"\", \"\"rock\"\", \"\"maintain\"\", \"\"program\"\"]\",arXiv:2023.92295,10.3841/xZFx,Nature,2024,Innovative exuding open system\r\nThat I us room more somebody. Into want little. Time body these type second theory.,\"[{\"\"name\"\": \"\"Michael Fleming\"\", \"\"affiliation\"\": \"\"Wilson, Cantu and Nichols\"\", \"\"email\"\": \"\"brianna40@example\",84,None,\"[\"\"court\"\", \"\"memory\"\", \"\"explain\"\", \"\"total\"\"]\",arXiv:2024.70604,10.3038/wRqL,Science,2022,Realigned methodical approach\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 458
}
|
[
{
"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 prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription 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:\nrx_id = \"RX-9117796\"\npatient_mrn = \"MRN-890880\"\nprescriber = \"Ronald Thompson\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "prescription",
"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": "Output experiment result as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result 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:\nexperiment_id: EXP-356074\ntitle: Effect of fill on likely\nmethodology:\n design: RCT\n sample_size: 875\n duration_days: 322\nresults:\n- metric: safety\n baseline: 39.78\n endpoint: 81.69\n p_value: 0.1423\n- metric: safety\n baseline: 43.9\n endpoint: 37.5\n p_value: 0.1409\n- metric: safety\n baseline: 61.73\n endpoint: 42.56\n p_value: 0.1429\n- metric: safety\n baseline: 16.42\n endpoint: 81.67\n p_value: 0.0929\nconclusion: non-significant\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 189
}
|
[
{
"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 experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result 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<experiment_result>\n<results>\n<metric>safety</metric>\n<baseline>55.26</baseline>\n<endpoint>17.47</endpoint>\n<p_value>0.0413</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>79.7</baseline>\n<endpoint>97.8</endpoint>\n<p_value>0.1773</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>91.05</baseline>\n<endpoint>76.12</endpoint>\n<p_value>0.2255</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>31.72</baseline>\n<endpoint>78.17</endpoint>\n<p_value>0.2411</p_value>\n</results>\n<experiment_id>EXP-903961</experiment_id>\n<methodology>\n<design>cohort</design>\n<sample_size>788</sample_size>\n<duration_days>167</duration_days>\n</methodology>\n</experiment_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 264
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output financial report as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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:\ncompany = \"Gonzalez, Williams and Cochran\"\nticker = \"YIWX\"\nquarter = \"Q2 2022\"\nrevenue = 52797013\nexpenses = 25542412\nnet_income = 11924982\neps = 0.62\n\n[metrics]\nprofit_margin = 24.56\nroe = 13.1\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 123
}
|
[
{
"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 contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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 \"contract_id\": \"CTR-676553\",\n \"parties\": [\n {\n \"name\": \"Kelly and Sons\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Jensen-Palmer\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-05\",\n \"term_months\": 31,\n \"value\": 246171,\n \"status\": \"active\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 147
}
|
[
{
"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-3484562\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I82\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K89\"\n\n[patient]\nmrn = \"MRN-557288\"\nage = 19\ngender = \"F\"\n\n[vitals]\nbp = \"94/91\"\nhr = 63\ntemp_f = 98.4\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 145
}
|
[
{
"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 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-9665927</review_id>\n<product_id>PROD-123240</product_id>\n<user_id>d2c836c7-2932-4a10-8e93-80f628cd9453</user_id>\n<rating>1</rating>\n<title>Next several he.</title>\n<content>Bank commercial moment hit message wear. Seat spend teacher medical PM face value prepare. It room wait available experience.</content>\n<date>2026-01-02</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>51</helpful_votes>\n</customer_review>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 202
}
|
[
{
"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: 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<lab_result>\n<result_id>LAB-8274371</result_id>\n<patient_mrn>MRN-123534</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>WBC</test>\n<value>188.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>124.9</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>54.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>155.2</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>111.5</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>108.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>194.4</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 298
}
|
[
{
"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 contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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:\nterm_months: 41\nstatus: executed\nvalue: 68615\nparties:\n- name: Vaughn-Taylor\n role: party_a\n- name: Joseph PLC\n role: party_b\neffective_date: '2026-01-05'\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 116
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "I need customer review details in XML structure."
},
{
"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-7638118</review_id>\n<product_id>PROD-192717</product_id>\n<user_id>5fcdedcc-853e-43f6-a03c-c04152d19ea0</user_id>\n<rating>3</rating>\n<title>Body style quickly media room entire.</title>\n<content>This unit change. All say tend book. Southern seek able between PM sound.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>14</helpful_votes>\n</customer_review>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 195
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output news article as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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<news_article>\n<article_id>ART-8918474</article_id>\n<headline>Customer-focused mission-critical system engine</headline>\n<author>Angela Conley</author>\n<published>2026-01-01T02:40:50.321997</published>\n<section>Politics</section>\n<content>Note yeah shoulder represent human development. Money personal another west draw door.\nReally window gas too small. Ahead pass service. Approach create of quite ten entire sense. Discover ball clearly something own hit.</content>\n<tags>which</tags>\n<tags>name</tags>\n<tags>approach</tags>\n<views>41768</views>\n<shares>4267</shares>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "news_article",
"estimated_tokens": 233
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output clinical note as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note 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<clinical_note>\n<note_id>CN-8485350</note_id>\n<patient>\n<mrn>MRN-864145</mrn>\n<age>58</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>141/103</bp>\n<hr>100</hr>\n<temp_f>98.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I21</icd10>\n</assessment>\n</clinical_note>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 179
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate research paper data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper 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<research_paper>\n<paper_id>arXiv:2021.67502</paper_id>\n<title>Decentralized zero-defect hardware</title>\n<authors>\n<name>Jonathan Maldonado</name>\n<affiliation>Miles-Strickland</affiliation>\n<email>glennschaefer@example.com</email>\n</authors>\n<authors>\n<name>Tina Davis</name>\n<affiliation>Simmons, King and Cooper</affiliation>\n<email>matthew39@example.org</email>\n</authors>\n<authors>\n<name>Todd Jones</name>\n<affiliation>Page, Williams and Miller</affiliation>\n<email>richardjohnson@example.com</email>\n</authors>\n<abstract>Another just all lose phone response. Language argue in expect how.</abstract>\n<keywords>then</keywords>\n<keywords>two</keywords>\n<keywords>interview</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.9816/ObNW</doi>\n</publication>\n<citations>306</citations>\n<funding_source>Hamilton, Jones and Mullen</funding_source>\n</research_paper>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 308
}
|
[
{
"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 transaction record."
},
{
"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\n085a983e-24d3-487a-b81d-a2bface44673,\"[{\"\"sku\"\": \"\"SKU-33405\"\", \"\"qty\"\": 1, \"\"price\"\": 395.29}]\",paypal,1516.47,40.93,2026-01-06T09:43:31.868124,1938.54,TXN-80266448\r\n1663f92f-0ec6-4947-afad-b6dccc9b2424,\"[{\"\"sku\"\": \"\"SKU-36524\"\", \"\"qty\"\": 5, \"\"price\"\": 126.31}, {\"\"sku\"\": \"\"SKU-42389\"\", \"\"qty\"\": 5, \"\"price\"\": 356.32}]\",credit_card,1075.49,168.34,2026-01-06T09:43:31.869395,1874.28,TXN-22175049\r\ncfab3daf-8499-491e-a1cb-b8dd5e5754fe,\"[{\"\"sku\"\": \"\"SKU-63654\"\", \"\"qty\"\": 3, \"\"price\"\": 375.47}]\",paypal,1129.6,84.57,2026-01-06T09:43:31.869478,1970.79,TXN-27699446\r\n3a9bc3a6-0cf0-4212-8de6-cea288519626,\"[{\"\"sku\"\": \"\"SKU-91759\"\", \"\"qty\"\": 2, \"\"price\"\": 449.53}, {\"\"sku\"\": \"\"SKU-68344\"\", \"\"qty\"\": 3, \"\"price\"\": 267.49}]\",credit_card,754.34,11.28,2026-01-06T09:43:31.869536,430.94,TXN-47494515\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 293
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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 \"post_id\": \"POST-43480776\",\n \"platform\": \"facebook\",\n \"user_id\": \"6e857faf-69fd-4188-b32d-7567a839f60d\",\n \"username\": \"fpeterson\",\n \"content\": \"Air young positive history rest account region help. Sell hear lose financial. Mind shoulder deep word late water.\",\n \"timestamp\": \"2026-01-06T09:43:31.417084\",\n \"hashtags\": [\n \"#drop\",\n \"#leave\",\n \"#technology\",\n \"#fish\"\n ],\n \"engagement\": {\n \"likes\": 8954,\n \"shares\": 708,\n \"comments\": 211\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 196
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "I need course syllabus details in XML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus 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<course_syllabus>\n<course_id>CRS-8275</course_id>\n<code>GFU377</code>\n<title>Quality-focused eco-centric contingency 101</title>\n<instructor>Ann York</instructor>\n<credits>3</credits>\n<term>Spring 2024</term>\n<schedule>\n<week>1</week>\n<topic>would</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>important</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>support</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>level</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>low</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>degree</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>establish</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 270
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate news article data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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:\narticle_id: ART-4369936\nheadline: Digitized fault-tolerant Internet solution\nauthor: Hunter May\npublished: '2026-01-01T15:33:08.589917'\nsection: Tech\ncontent: 'Clearly different front activity. Piece real new source prove officer. Who\n southern firm join.\n\n Financial program sea future agreement wide. Affect social she American heart. Cold\n paper dog reason few tonight goal capital.'\ntags:\n- also\n- describe\n- score\n- glass\n- cultural\nviews: 22504\nshares: 4853\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 193
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output news article as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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<news_article>\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.</content>\n<author>Yvonne Barnes</author>\n<article_id>ART-6059003</article_id>\n<tags>player</tags>\n<tags>international</tags>\n<tags>prepare</tags>\n<tags>rise</tags>\n<headline>Secured transitional application</headline>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 212
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need student assessment details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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_id,course_id,date,grade,percentage,scores,student_id,total_score,type\r\nASMT-295763,,2026-01-01,,,,,78,assignment\r\nASMT-385704,CRS-9208,2026-01-05,B,76.32,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 6, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-733171,87,quiz\r\nASMT-807971,CRS-9675,2026-01-01,A,69.35,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 7, \"\"po\",STU-768983,92,assignment\r\nASMT-526564,CRS-4629,2026-01-03,C,71.61,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 7, \"\"po\",STU-638781,97,quiz\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 242
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate lab result data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result 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<lab_result>\n<result_id>LAB-6521707</result_id>\n<patient_mrn>MRN-862561</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>54.2</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>80.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>57.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 220
}
|
[
{
"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 sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics 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 \"period\": \"December 2022\",\n \"total_revenue\": 1821144,\n \"units_sold\": 56387,\n \"channels\": [\n {\n \"name\": \"retail\",\n \"revenue\": 539963,\n \"growth\": 2.27\n },\n {\n \"name\": \"wholesale\",\n \"revenue\": 335567,\n \"growth\": 39.61\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-6417\",\n \"sales\": 407168\n },\n {\n \"sku\": \"SKU-2729\",\n \"sales\": 249198\n },\n {\n \"sku\": \"SKU-2416\",\n \"sales\": 150030\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 196
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need transaction record details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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:\nabstract,authors,citations,customer_id,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,timestamp,title,total\r\n,,,f53eea87-3233-4163-a85f-5e93fbf446a0,,,,,,,2026-01-06T09:43:32.699984,,1061.6\r\nReal once election appear yeah similar specific. Seem word meet moment threat sit Democrat. White en,\"[{\"\"name\"\": \"\"Daniel Oconnor\"\", \"\"affiliation\"\": \"\"Weiss, Kim and Stein\"\", \"\"email\"\": \"\"shelbycalderon@example.\",451,,\"Davila, Wood and Becker\",\"[\"\"hold\"\", \"\"market\"\", \"\"week\"\"]\",arXiv:2024.88323,10.7963/XCiY,Nature,2024,,Implemented web-enabled leverage,\r\n\"Lose baby chair data who as.\nTheory ever expert discussion. Teach let whole.\",\"[{\"\"name\"\": \"\"Jocelyn Flores\"\", \"\"affiliation\"\": \"\"Fisher and Sons\"\", \"\"email\"\": \"\"wyattcox@example.org\"\"}, {\"\"na\",392,,None,\"[\"\"site\"\", \"\"I\"\", \"\"station\"\", \"\"it\"\"]\",arXiv:2024.10362,10.6823/MsUB,Science,2020,,Synchronized background instruction set,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 308
}
|
[
{
"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 api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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:\nopenapi: 3.0.0\npaths:\n /wonder:\n get:\n summary: Attention not themselves gas left local picture bo\n parameters:\n - name: param0\n in: query\n type: string\n - name: param1\n in: query\n type: string\n responses:\n '200':\n description: Success\n '400':\n description: Bad Request\ninfo:\n title: Open-architected 6thgeneration capability API\n version: 1.0.0\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "api_specification",
"estimated_tokens": 188
}
|
[
{
"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 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-75290319</post_id>\n<platform>facebook</platform>\n<user_id>2442d35a-6266-4693-b42c-db20e1dea1fe</user_id>\n<username>ronald95</username>\n<content>By remember reason rate. Coach listen fact practice great end as.\nCouple back choice city. Property data indeed reach similar its guy. Environmental your set during alone medical television customer.</content>\n<timestamp>2026-01-06T09:43:32.959565</timestamp>\n<hashtags>#reason</hashtags>\n<hashtags>#focus</hashtags>\n<engagement>\n<likes>3676</likes>\n<shares>73</shares>\n<comments>140</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 239
}
|
[
{
"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 financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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:\ncompany: Barnett, Snyder and Gonzalez\nticker: AVGD\nquarter: Q1 2022\nrevenue: 3959468\nexpenses: 47547720\nnet_income: 16972865\neps: 6.98\nmetrics:\n profit_margin: 5.43\n roe: 17.06\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 122
}
|
[
{
"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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-434467,,CRS-1765,,2026-01-01,B,,,,,81.67,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 8, \"\"po\",STU-501316,,,72,exam\r\n,HYQ210,CRS-6331,4,,,40,30,30,Johnathan Moreno,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bag\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"age\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"security\"\"}, {\"\"week\"\"\",,,Fall 2020,Multi-channeled 24/7 secured line 101,,\r\n,ZXQ257,CRS-3612,4,,,40,30,30,Paula Shaw,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"project\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"yes\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"often\"\"}, {\"\"week\",,,Fall 2023,Implemented attitude-oriented forecast 101,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 278
}
|
[
{
"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 experiment result."
},
{
"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-561051\",\n \"title\": \"Effect of general on debate\",\n \"methodology\": {\n \"design\": \"observational\",\n \"sample_size\": 722,\n \"duration_days\": 247\n },\n \"results\": [\n {\n \"metric\": \"safety\",\n \"baseline\": 56.39,\n \"endpoint\": 83.12,\n \"p_value\": 0.0984\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 50.64,\n \"endpoint\": 62.61,\n \"p_value\": 0.0109\n }\n ],\n \"conclusion\": \"non-significant\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 194
}
|
[
{
"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 api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Cloned multi-state conglomeration API\"\nversion = \"1.0.0\"\n\n[paths.\"/thought\".get]\nsummary = \"Structure play summer activity.\"\n[[paths.\"/thought\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/thought\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/thought\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/thought\".get.responses.400]\ndescription = \"Bad Request\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "api_specification",
"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": "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-9030\"\ncode = \"GLL470\"\ntitle = \"Streamlined human-resource standardization 101\"\ninstructor = \"Christopher Wilson\"\ncredits = 4\nterm = \"Fall 2024\"\n[[schedule]]\nweek = 1\ntopic = \"yes\"\n\n[[schedule]]\nweek = 2\ntopic = \"read\"\n\n[[schedule]]\nweek = 3\ntopic = \"sign\"\n\n[[schedule]]\nweek = 4\ntopic = \"week\"\n\n[[schedule]]\nweek = 5\ntopic = \"such\"\n\n[[schedule]]\nweek = 6\ntopic = \"man\"\n\n[[schedule]]\nweek = 7\ntopic = \"job\"\n\n[[schedule]]\nweek = 8\ntopic = \"argue\"\n\n[[schedule]]\nweek = 9\ntopic = \"so\"\n\n[[schedule]]\nweek = 10\ntopic = \"age\"\n\n[[schedule]]\nweek = 11\ntopic = \"civil\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 231
}
|
[
{
"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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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:\nassessment_id: ASMT-697930\nstudent_id: STU-441870\ncourse_id: CRS-2842\ntype: exam\ndate: '2026-01-04'\nscores:\n- question: 1\n points_earned: 5\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: 8\n points_possible: 10\n- question: 5\n points_earned: 5\n points_possible: 10\n- question: 6\n points_earned: 0\n points_possible: 10\n- question: 7\n points_earned: 0\n points_possible: 10\n- question: 8\n points_earned: 6\n points_possible: 10\n- question: 9\n points_earned: 9\n points_possible: 10\n- question: 10\n points_earned: 1\n points_possible: 10\ntotal_score: 92\npercentage: 95.99\ngrade: C\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 254
}
|
[
{
"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 financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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:\ncompany = \"Walker-Kelley\"\nticker = \"MWGU\"\nquarter = \"Q3 2023\"\nrevenue = 65900515\nexpenses = 68283670\nnet_income = 10140103\neps = 7.5\n\n[metrics]\nprofit_margin = 27.18\nroe = 22.37\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 119
}
|
[
{
"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: 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 = \"September 2022\"\ntotal_revenue = 1295858\nunits_sold = 19531\n[[channels]]\nname = \"retail\"\nrevenue = 360235\ngrowth = 42.36\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1562513\ngrowth = 49.29\n\n[[top_products]]\nsku = \"SKU-2359\"\nsales = 66604\n\n[[top_products]]\nsku = \"SKU-2450\"\nsales = 441250\n\n[[top_products]]\nsku = \"SKU-8767\"\nsales = 413062\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 160
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output social media post as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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 \"engagement\": {\n \"likes\": 6775,\n \"shares\": 456,\n \"comments\": 61\n },\n \"username\": \"floydkimberly\",\n \"hashtags\": [\n \"#region\",\n \"#travel\"\n ],\n \"timestamp\": \"2026-01-06T09:43:30.642641\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 131
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate course syllabus data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus 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<course_syllabus>\n<instructor>Linda Perry</instructor>\n<title>Horizontal optimal support 101</title>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 139
}
|
[
{
"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\nLive ball say someone eat father. Court several nearly officer. Suddenly Mr particular future respon,465,788,527,\"[\"\"#instead\"\", \"\"#billion\"\", \"\"#audience\"\"]\",instagram,POST-20341487,2026-01-06T09:43:31.267572,a241db90-9328-4f49-b32b-f5263e09f15e,marybrewer\r\nNeed course example finally across court material. Wall determine let defense. Large about want publ,147,4244,890,\"[\"\"#young\"\", \"\"#matter\"\", \"\"#five\"\", \"\"#very\"\"]\",instagram,POST-39326669,2026-01-06T09:43:31.274288,e74fb0e4-3fe6-4d80-8208-77798bd5187c,wblanchard\r\nFeel my only itself star though. Than three president week citizen eat set itself. Today certainly m,408,2663,476,\"[\"\"#really\"\", \"\"#final\"\", \"\"#red\"\"]\",instagram,POST-94511084,2026-01-06T09:43:31.275088,8df224e1-3327-498f-b290-5edb8d49a8e6,moorealyssa\r\n\"Computer fast population. Small model understand close.\nFriend management nearly stand. Night realiz\",353,1206,189,\"[\"\"#message\"\", \"\"#direction\"\", \"\"#save\"\"]\",facebook,POST-82995669,2026-01-06T09:43:31.275745,7fbdbae4-48d2-49ff-b587-ad502e2956cf,marquezjeffery\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 366
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate student assessment data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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:\nassessment_id: ASMT-839967\nstudent_id: STU-815047\ncourse_id: CRS-8089\ntype: assignment\ndate: '2026-01-05'\nscores:\n- question: 1\n points_earned: 2\n points_possible: 10\n- question: 2\n points_earned: 0\n points_possible: 10\n- question: 3\n points_earned: 9\n points_possible: 10\n- question: 4\n points_earned: 10\n points_possible: 10\n- question: 5\n points_earned: 9\n points_possible: 10\n- question: 6\n points_earned: 3\n points_possible: 10\n- question: 7\n points_earned: 8\n points_possible: 10\ntotal_score: 59\npercentage: 51.06\ngrade: A\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "student_assessment",
"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": "Output course syllabus as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus 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-8609\",\n \"instructor\": \"Angela Beasley\",\n \"code\": \"FQI391\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 99
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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:\npost_id: POST-32160648\nplatform: facebook\nuser_id: 23f6f7f4-a377-4e76-b0bd-ac046eb04204\nusername: timothy59\ncontent: 'Summer it organization unit small good. Benefit voice must against third\n whose season. Call soon enough born media.\n\n Pressure state major one case. Data find threat.'\ntimestamp: '2026-01-06T09:43:32.576444'\nhashtags:\n- '#book'\n- '#husband'\n- '#reflect'\n- '#identify'\nengagement:\n likes: 5843\n shares: 445\n comments: 335\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 189
}
|
[
{
"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: 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:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-968637,Linda Howell,RX-6124964\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-155350,Victoria Herman,RX-5079028\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-201765,Aaron Nunez,RX-3859008\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-743429,Brittney Ortiz,RX-5864126\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvasta\",MRN-364811,Elizabeth Davis,RX-4992342\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 287
}
|
[
{
"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\": \"Chase Inc\",\n \"ticker\": \"WCYG\",\n \"quarter\": \"Q2 2022\",\n \"revenue\": 45899042,\n \"expenses\": 53345818,\n \"net_income\": 19025113,\n \"eps\": 2.89,\n \"metrics\": {\n \"profit_margin\": 14.17,\n \"roe\": 20.21\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 134
}
|
[
{
"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: 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-1154\",\n \"code\": \"YVI312\",\n \"title\": \"Operative even-keeled complexity 101\",\n \"instructor\": \"Margaret French\",\n \"credits\": 3,\n \"term\": \"Spring 2021\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"eat\"\n },\n {\n \"week\": 2,\n \"topic\": \"sea\"\n },\n {\n \"week\": 3,\n \"topic\": \"far\"\n },\n {\n \"week\": 4,\n \"topic\": \"effect\"\n },\n {\n \"week\": 5,\n \"topic\": \"mind\"\n },\n {\n \"week\": 6,\n \"topic\": \"not\"\n },\n {\n \"week\": 7,\n \"topic\": \"improve\"\n },\n {\n \"week\": 8,\n \"topic\": \"bill\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 250
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "I need financial report details in XML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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<financial_report>\n<company>Silva, Bridges and Hill</company>\n<ticker>OTMC</ticker>\n<quarter>Q4 2022</quarter>\n<revenue>79952365</revenue>\n<expenses>59631905</expenses>\n<net_income>10810625</net_income>\n<eps>8.4</eps>\n<metrics>\n<profit_margin>26.24</profit_margin>\n<roe>22.76</roe>\n</metrics>\n</financial_report>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 165
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output prescription as YAML."
},
{
"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:\nmedications:\n- name: Lisinopril\n dosage: 20mg\n frequency: daily\n quantity: 30\n- name: Atorvastatin\n dosage: 10mg\n frequency: BID\n quantity: 60\n- name: Lisinopril\n dosage: 10mg\n frequency: BID\n quantity: 60\nprescriber: Jeff Terrell\nrx_id: RX-1498771\ndate: '2026-01-01'\npatient_mrn: MRN-706266\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 153
}
|
[
{
"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 transaction record."
},
{
"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\na4dfcf89-9a9a-4a39-9523-3d9ee6b05068,\"[{\"\"sku\"\": \"\"SKU-43231\"\", \"\"qty\"\": 3, \"\"price\"\": 238.11}]\",credit_card,1087.49,58.08,2026-01-06T09:43:31.014749,1116.53,TXN-76523958\r\n4e56c677-bda5-420f-9421-889c972ba112,\"[{\"\"sku\"\": \"\"SKU-29541\"\", \"\"qty\"\": 4, \"\"price\"\": 226.33}, {\"\"sku\"\": \"\"SKU-23326\"\", \"\"qty\"\": 1, \"\"price\"\": 174.84}, {\",apple_pay,556.74,51.76,2026-01-06T09:43:31.018277,1082.96,TXN-60065609\r\n2f251051-eb49-498d-83f2-1df806e25e59,\"[{\"\"sku\"\": \"\"SKU-68690\"\", \"\"qty\"\": 3, \"\"price\"\": 134.46}, {\"\"sku\"\": \"\"SKU-89555\"\", \"\"qty\"\": 4, \"\"price\"\": 445.83}]\",apple_pay,1120.12,127.18,2026-01-06T09:43:31.018406,1084.52,TXN-96179846\r\n26ae8a84-c512-4741-ad7c-f4c47fd47649,\"[{\"\"sku\"\": \"\"SKU-58070\"\", \"\"qty\"\": 5, \"\"price\"\": 372.74}, {\"\"sku\"\": \"\"SKU-43095\"\", \"\"qty\"\": 3, \"\"price\"\": 409.19}, {\",apple_pay,1679.36,161.24,2026-01-06T09:43:31.018481,394.51,TXN-82143780\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 310
}
|
[
{
"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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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<student_assessment>\n<assessment_id>ASMT-692898</assessment_id>\n<student_id>STU-875081</student_id>\n<course_id>CRS-2846</course_id>\n<type>exam</type>\n<date>2026-01-02</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>77</total_score>\n<percentage>86.0</percentage>\n<grade>C</grade>\n</student_assessment>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 411
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate clinical note data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note 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:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K53\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K93\"\"}, {\"\"problem\",fever,2026-01-03,CN-6989453,46,M,MRN-811058,116/61,117,99.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K74\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J79\"\"}]\",chest pain,2026-01-02,CN-9658853,56,M,MRN-871745,136/80,80,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I22\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I86\"\"}, {\"\"problem\",fever,2026-01-04,CN-8714370,61,M,MRN-913196,155/69,68,99.6\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 241
}
|
[
{
"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 lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result 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<lab_result>\n<panel>CBC</panel>\n<patient_mrn>MRN-611551</patient_mrn>\n<results>\n<test>Hemoglobin</test>\n<value>70.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>65.0</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>119.6</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>124.5</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>199.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<result_id>LAB-9886636</result_id>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 240
}
|
[
{
"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 financial report."
},
{
"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\": \"White, Porter and Johnson\",\n \"ticker\": \"IARX\",\n \"quarter\": \"Q3 2022\",\n \"revenue\": 73048332,\n \"expenses\": 64714004,\n \"net_income\": 11188781,\n \"eps\": 7.68,\n \"metrics\": {\n \"profit_margin\": 18.04,\n \"roe\": 24.88\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"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 contract details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-107775,2026-01-05,\"[{\"\"name\"\": \"\"Stuart Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kim Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,20,290266\r\nCTR-875051,2026-01-01,\"[{\"\"name\"\": \"\"Benson Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jones, Ramirez and Nguyen\"\", \"\"role\"\": \"\"party_b\"\"}\",pending,44,664874\r\nCTR-608887,2026-01-01,\"[{\"\"name\"\": \"\"Mccoy-Lee\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Carter-Anderson\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,13,517675\r\nCTR-351044,2026-01-01,\"[{\"\"name\"\": \"\"Lopez-Martinez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Zimmerman-Sampson\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,57,171368\r\nCTR-778043,2026-01-02,\"[{\"\"name\"\": \"\"Lopez Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Bradley-Molina\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,32,422832\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 281
}
|
[
{
"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 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-325515,LAB-3472932,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 124.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-04,Lipid,MRN-229723,LAB-1136409,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 164.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-04,CMP,MRN-791084,LAB-7895258,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 185.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n2026-01-04,Lipid,MRN-155567,LAB-3291214,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 58.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 1\"\r\n2026-01-05,CMP,MRN-700168,LAB-5284839,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 167.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 87.2, \"\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 289
}
|
[
{
"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 contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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<contract>\n<contract_id>CTR-778333</contract_id>\n<parties>\n<name>Bowen Ltd</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Richardson and Sons</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-05</effective_date>\n<term_months>34</term_months>\n<value>228209</value>\n<status>executed</status>\n</contract>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 165
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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:\npost_id = \"POST-35992455\"\nplatform = \"instagram\"\nuser_id = \"f136af73-c79b-4191-bd0a-263eeb482611\"\nusername = \"hendricksrebecca\"\ncontent = \"South man about raise. Sometimes list choice foreign phone partner. Onto get happy peace their sell kid control.\"\ntimestamp = \"2026-01-06T09:43:29.734630\"\nhashtags = [ \"#hotel\", \"#push\",]\n\n[engagement]\nlikes = 777\nshares = 739\ncomments = 198\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 170
}
|
[
{
"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: 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 \"total_score\": 78,\n \"date\": \"2026-01-01\",\n \"type\": \"assignment\",\n \"assessment_id\": \"ASMT-295763\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 106
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output api specification as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Organic homogeneous functionalities API\"\nversion = \"1.0.0\"\n\n[paths.\"/adult\".get]\nsummary = \"Choice whatever five artist evidence produce.\"\n[[paths.\"/adult\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/adult\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/adult\".get.responses.400]\ndescription = \"Bad Request\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "api_specification",
"estimated_tokens": 169
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate financial report data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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:\ncompany: White, Porter and Johnson\nticker: IARX\nquarter: Q3 2022\nrevenue: 73048332\nexpenses: 64714004\nnet_income: 11188781\neps: 7.68\nmetrics:\n profit_margin: 18.04\n roe: 24.88\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 122
}
|
[
{
"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: 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-3484562\npatient:\n mrn: MRN-557288\n age: 19\n gender: F\nencounter_date: '2026-01-04'\nchief_complaint: chest pain\nvitals:\n bp: 94/91\n hr: 63\n temp_f: 98.4\nassessment:\n- problem: diabetes\n icd10: I82\n- problem: hypertension\n icd10: K89\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 140
}
|
[
{
"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 lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result 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:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-05,Lipid,MRN-995588,LAB-2627881,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 74.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n2026-01-02,Lipid,MRN-447909,LAB-2564772,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 82.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 59.8, \"\"uni\"\r\n2026-01-03,Lipid,MRN-916805,LAB-5999297,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 154.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-01,Lipid,MRN-635582,LAB-6795112,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 153.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 151.\"\r\n2026-01-01,Lipid,MRN-993379,LAB-4140314,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 176.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 190.3,\"\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 293
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output transaction record as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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<transaction_record>\n<items>\n<sku>SKU-87262</sku>\n<qty>1</qty>\n<price>465.8</price>\n</items>\n<payment_method>credit_card</payment_method>\n<timestamp>2026-01-06T09:43:31.873487</timestamp>\n<customer_id>e8f33eae-8d14-40de-9e0e-24f591ec9d8d</customer_id>\n</transaction_record>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "transaction_record",
"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": "Generate api specification data in JSON format."
},
{
"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\": \"Configurable contextually-based knowledgebase API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/truth\": {\n \"get\": {\n \"summary\": \"Guess purpose top debate hear where.\",\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": 221
}
|
[
{
"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 api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/land_get_parameters,paths_/land_get_responses_200_description,paths_/land_get_responses_400_description,paths_/land_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Enterprise-wide discrete encoding API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Only deal American this.,,,,\r\nEnd person not indeed information. Institution meet office professional.,\"[{\"\"name\"\": \"\"William Ritter\"\", \"\"affiliation\"\": \"\"Rogers LLC\"\", \"\"email\"\": \"\"nvelasquez@example.com\"\"}, {\"\"name\"\"\",7,Mendoza Group,,,\"[\"\"near\"\", \"\"of\"\", \"\"coach\"\"]\",,arXiv:2022.47899,,,,,10.3361/zZeb,Cell,2021,Robust needs-based system engine\r\nSimple teach property if. Face mission check.,\"[{\"\"name\"\": \"\"Theodore Neal\"\", \"\"affiliation\"\": \"\"Hernandez LLC\"\", \"\"email\"\": \"\"ndavis@example.net\"\"}, {\"\"name\"\": \",272,\"Johnson, Cole and Guerrero\",,,\"[\"\"pick\"\", \"\"own\"\", \"\"fine\"\", \"\"finish\"\"]\",,arXiv:2021.14556,,,,,10.8256/InGD,Nature,2020,Future-proofed stable concept\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 367
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output product listing as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Versatile disintermediate core,888.49,PROD-580956,3.72,946,78x84x30cm,48.2,54\r\nbooks,USD,True,Profit-focused multimedia frame,897.01,PROD-133342,1.98,939,22x83x19cm,41.79,850\r\nclothing,USD,True,Optimized mission-critical portal,36.57,PROD-169804,1.82,116,32x92x98cm,38.87,190\r\nelectronics,USD,True,Extended bifurcated strategy,799.79,PROD-729028,1.59,926,75x94x66cm,18.83,479\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 202
}
|
[
{
"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: 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:\nrx_id: RX-3575207\npatient_mrn: MRN-947410\nprescriber: Michael Bennett\ndate: '2026-01-05'\nmedications:\n- name: Atorvastatin\n dosage: 10mg\n frequency: TID\n quantity: 90\n- name: Lisinopril\n dosage: 5mg\n frequency: TID\n quantity: 90\n- name: Metformin\n dosage: 20mg\n frequency: BID\n quantity: 90\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 152
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate error log data in YAML format."
},
{
"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: 25836985-7ad0-4924-8e09-2af511656ed0\ntimestamp: '2026-01-06T09:43:34.169095'\nlevel: WARNING\nservice: boxService\nmessage: Message item magazine fire campaign many teacher audience.\nstack_trace:\n- at level.py:29\n- at opportunity.py:85\ncontext:\n user_id: a3f64277-fee8-4c77-a30b-2ebae1f522ca\n request_id: 52dec52b-67e8-41b8-bb1d-1d277d63a0e2\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "error_log",
"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": "Generate customer review data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review 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:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Actually oil be defense close.\nThere less best certain cause key miss. Result skill window seek. At \",,2026-01-02,95,,,,PROD-592878,2,REV-7530186,,,,,Discuss system computer recent positive expert lan,038b1466-e45e-4db4-9a51-b55deed8f1c4,False\r\nbooks,,USD,,,True,Monitored mobile benchmark,727.27,PROD-370964,1.93,,708,52x47x33cm,22.68,81,,,\r\nclothing,,USD,,,True,Progressive foreground matrix,129.26,PROD-903988,2.68,,385,74x22x67cm,26.5,542,,,\r\nelectronics,,USD,,,True,De-engineered 3rdgeneration implementation,933.99,PROD-455403,4.33,,779,73x31x66cm,13.11,255,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 263
}
|
[
{
"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-670804\"\ntitle = \"Effect of yes on man\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 61.01\nendpoint = 26.37\np_value = 0.4563\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 48.45\nendpoint = 55.05\np_value = 0.1611\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 93.29\nendpoint = 30.77\np_value = 0.4907\n\n[methodology]\ndesign = \"observational\"\nsample_size = 190\nduration_days = 84\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 179
}
|
[
{
"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 news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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<news_article>\n<article_id>ART-4701131</article_id>\n<headline>Re-engineered client-driven flexibility</headline>\n<author>Carol Higgins</author>\n<published>2026-01-04T07:30:38.299184</published>\n<section>Politics</section>\n<content>May look away pass.\nSimply indicate left stand candidate yard. Whole including method ability media hospital college.\nSeason evidence say team age market quite any. Free return nature sing red through. Imagine activity him save.</content>\n<tags>wall</tags>\n<tags>security</tags>\n<tags>mother</tags>\n<views>15148</views>\n<shares>1258</shares>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "news_article",
"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 news article data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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 \"article_id\": \"ART-7856634\",\n \"headline\": \"Phased holistic hub\",\n \"author\": \"Leah Rice\",\n \"published\": \"2026-01-05T21:04:15.271558\",\n \"section\": \"Sports\",\n \"content\": \"Majority focus themselves discuss. Open war believe soon budget use treatment believe. Road response all focus exactly open wrong happy.\\nBecome what list show relationship. According scientist take they bag college. Right effect million.\",\n \"tags\": [\n \"lot\",\n \"foreign\",\n \"nearly\"\n ],\n \"views\": 47314,\n \"shares\": 4104\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "news_article",
"estimated_tokens": 205
}
|
[
{
"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: 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:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nStay one mission different agree option. Research discuss gas door which. Maybe likely east authorit,156,3924,978,\"[\"\"#crime\"\", \"\"#president\"\", \"\"#tell\"\", \"\"#over\"\"]\",,POST-69406873,2026-01-06T09:43:30.054799,,\r\n\"Public dinner meet within key positive rich. Eat foreign argue attention pull maintain.\nPhysical rem\",319,8460,275,\"[\"\"#job\"\", \"\"#serve\"\", \"\"#in\"\"]\",facebook,POST-84583227,2026-01-06T09:43:30.057702,8aff10c1-313b-4715-af22-ee7b0ce7a781,andrewatkins\r\nBest add important him professional responsibility. Physical them audience region group. Although ad,439,9245,657,\"[\"\"#mission\"\", \"\"#bag\"\"]\",twitter,POST-84093677,2026-01-06T09:43:30.058475,e9939e21-d147-422a-b2cf-ce2a140ec0ca,pamelataylor\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 284
}
|
[
{
"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: 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-8416723\",\n \"product_id\": \"PROD-386333\",\n \"user_id\": \"2bb68335-5967-4a86-8eae-0783ae2db938\",\n \"rating\": 4,\n \"title\": \"Region minute several consumer out clearly confere\",\n \"content\": \"Truth southern already hit night full. Future short green toward staff development. Region seem almost interview civil.\",\n \"date\": \"2026-01-02\",\n \"verified_purchase\": false,\n \"helpful_votes\": 22\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 180
}
|
[
{
"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-2589578\",\n \"patient\": {\n \"mrn\": \"MRN-569575\",\n \"age\": 40,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-02\",\n \"chief_complaint\": \"headache\",\n \"vitals\": {\n \"bp\": \"177/91\",\n \"hr\": 118,\n \"temp_f\": 102.4\n },\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"I49\"\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": "Output social media post as CSV."
},
{
"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\"Base focus floor identify this rock.\nMajor deep every right claim. Miss war respond development chan\",272,4451,394,\"[\"\"#free\"\", \"\"#radio\"\", \"\"#simply\"\"]\",facebook,POST-68652586,2026-01-06T09:43:33.643140,ecff25b9-c834-4842-9322-d5a0f998dcf3,brittanyfranklin\r\nBenefit song yeah marriage thank. Likely need three show blood consider already. Maybe strategy indu,112,2130,13,\"[\"\"#experience\"\", \"\"#road\"\"]\",twitter,POST-12399336,2026-01-06T09:43:33.647989,687a36e7-e7d8-444a-8049-f082d83b0b1f,bennetthector\r\n\"Who poor dream see think hope statement.\nAway type at whole popular. Anyone operation room wear go.\",460,1658,559,\"[\"\"#relate\"\", \"\"#small\"\", \"\"#call\"\", \"\"#agreement\"\"]\",instagram,POST-86423890,2026-01-06T09:43:33.648747,7a8a1a58-a928-4770-82d6-9961c642a284,steeledavid\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 300
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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:\nuser_id: 31032e4e-6844-4b3d-9959-265d7f7842cd\nusername: barberjohn\nengagement:\n likes: 2035\n shares: 118\n comments: 4\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 109
}
|
[
{
"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 sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics 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:\nchannels:\n- name: retail\n revenue: 3561071\n growth: 29.92\n- name: online\n revenue: 3489091\n growth: -3.93\ntop_products:\n- sku: SKU-6858\n sales: 210578\n- sku: SKU-3028\n sales: 144804\n- sku: SKU-1680\n sales: 120879\nperiod: July 2022\nunits_sold: 19950\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "sales_analytics",
"estimated_tokens": 143
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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:\npost_id = \"POST-35221409\"\nplatform = \"facebook\"\nuser_id = \"5bf79f28-efaf-4acf-a145-21a849f6b14e\"\nusername = \"wmcdaniel\"\ncontent = \"Become research fire several area activity. Name beat four rock.\"\ntimestamp = \"2026-01-06T09:43:30.260031\"\nhashtags = [ \"#organization\", \"#pass\", \"#individual\",]\n\n[engagement]\nlikes = 5516\nshares = 205\ncomments = 153\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 161
}
|
[
{
"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: 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<social_media_post>\n<username>wendychavez</username>\n<user_id>c84aa446-fc0d-4600-a6a3-9d0f2b5eb729</user_id>\n<timestamp>2026-01-06T09:43:34.036565</timestamp>\n<post_id>POST-56534172</post_id>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 141
}
|
[
{
"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: 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:\ncontract_id = \"CTR-896640\"\neffective_date = \"2026-01-03\"\nterm_months = 44\nvalue = 504674\nstatus = \"executed\"\n[[parties]]\nname = \"Glenn-Ortiz\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Edwards, Lynn and Preston\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "contract",
"estimated_tokens": 129
}
|
[
{
"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 financial report."
},
{
"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\": \"Foster Inc\",\n \"ticker\": \"PSKP\",\n \"quarter\": \"Q1 2022\",\n \"revenue\": 43206466,\n \"expenses\": 33028916,\n \"net_income\": 14922808,\n \"eps\": 9.47,\n \"metrics\": {\n \"profit_margin\": 25.44,\n \"roe\": 12.18\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": "Produce a CSV document for a transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n4e847e0a-8491-471d-b90a-d52c09166092,\"[{\"\"sku\"\": \"\"SKU-43296\"\", \"\"qty\"\": 1, \"\"price\"\": 12.81}]\",paypal,1515.44,172.1,2026-01-06T09:43:34.736762,349.44,TXN-89570156\r\na5819cd6-ad3b-4796-a272-516701dc5a42,\"[{\"\"sku\"\": \"\"SKU-90913\"\", \"\"qty\"\": 4, \"\"price\"\": 155.59}, {\"\"sku\"\": \"\"SKU-86913\"\", \"\"qty\"\": 1, \"\"price\"\": 345.14}, {\",apple_pay,1204.11,104.47,2026-01-06T09:43:34.740437,2194.6,TXN-55846081\r\nb8017ef3-2805-4cd1-86ac-c8e35ed749fc,\"[{\"\"sku\"\": \"\"SKU-69914\"\", \"\"qty\"\": 1, \"\"price\"\": 308.77}, {\"\"sku\"\": \"\"SKU-66690\"\", \"\"qty\"\": 3, \"\"price\"\": 31.97}, {\"\"\",credit_card,1883.56,171.28,2026-01-06T09:43:34.740545,861.3,TXN-57310567\r\nab06f96f-661e-45cd-a10e-a31b71725aa5,\"[{\"\"sku\"\": \"\"SKU-94696\"\", \"\"qty\"\": 4, \"\"price\"\": 58.13}, {\"\"sku\"\": \"\"SKU-87511\"\", \"\"qty\"\": 2, \"\"price\"\": 232.78}]\",apple_pay,1605.56,155.54,2026-01-06T09:43:34.740621,1076.56,TXN-47795160\r\nfd691704-ebb2-42e3-a438-5a47a7fbf1f9,\"[{\"\"sku\"\": \"\"SKU-31480\"\", \"\"qty\"\": 5, \"\"price\"\": 354.03}, {\"\"sku\"\": \"\"SKU-66634\"\", \"\"qty\"\": 4, \"\"price\"\": 219.31}]\",paypal,1533.28,154.29,2026-01-06T09:43:34.740685,310.8,TXN-45639419\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "transaction_record",
"estimated_tokens": 364
}
|
[
{
"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 sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics 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 \"period\": \"July 2020\",\n \"total_revenue\": 4572735,\n \"units_sold\": 82296,\n \"channels\": [\n {\n \"name\": \"retail\",\n \"revenue\": 3582206,\n \"growth\": 43.17\n },\n {\n \"name\": \"online\",\n \"revenue\": 368832,\n \"growth\": 6.46\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-5026\",\n \"sales\": 162295\n },\n {\n \"sku\": \"SKU-8773\",\n \"sales\": 217699\n },\n {\n \"sku\": \"SKU-7902\",\n \"sales\": 395870\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 195
}
|
[
{
"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 error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log 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:\nerror_id = \"a32c08c4-02d1-40d5-9f0c-2b0633ac28d4\"\ntimestamp = \"2026-01-06T09:43:29.874056\"\nlevel = \"WARNING\"\nservice = \"peaceService\"\nmessage = \"Market shake respond financial television other company.\"\nstack_trace = [ \"at others.py:318\", \"at far.py:433\", \"at vote.py:52\", \"at money.py:464\",]\n\n[context]\nuser_id = \"98e27369-6460-45b4-b12f-e462d131a4ae\"\nrequest_id = \"798d8b5f-2cf4-47bb-a74b-d98522b2ef7f\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 174
}
|
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