messages listlengths 3 3 | metadata dict |
|---|---|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate course syllabus data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: 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:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nJCB178,CRS-6118,3,40,30,30,Susan Carter,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"strategy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"religious\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"would\"\"},\",Fall 2021,Quality-focused leadingedge complexity 101\r\nQYG444,CRS-3366,4,40,30,30,Amy Walker,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"present\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"exist\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"power\"\"}, {\"\"we\",Spring 2021,Function-based reciprocal toolset 101\r\nCUO202,CRS-3202,4,40,30,30,Amy Moore,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"painting\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"candidate\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"should\"\"}\",Fall 2020,Enterprise-wide real-time alliance 101\r\nUDQ365,CRS-6868,4,40,30,30,Victor Smith,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"finally\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"option\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"generation\"\"}\",Spring 2020,Multi-layered system-worthy orchestration 101\r\nXNG495,CRS-2256,4,40,30,30,Jim Martinez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"lose\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"Mr\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"nor\"\"}, {\"\"week\"\": 4, \",Fall 2024,Devolved exuding leverage 101\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 367
} |
[
{
"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 lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab 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:\nresult_id: LAB-5906907\npatient_mrn: MRN-752729\norder_date: '2026-01-01'\npanel: CMP\nresults:\n- test: WBC\n value: 184.8\n unit: g/dL\n flag: high\n- test: WBC\n value: 124.4\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 109.9\n unit: mg/dL\n flag: low\n- test: WBC\n value: 67.3\n unit: g/dL\n flag: high\n- test: WBC\n value: 175.8\n unit: g/dL\n flag: high\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 168
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate contract data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: 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:\ncontract_id: CTR-131501\nparties:\n- name: Thomas LLC\n role: party_a\n- name: Potter-Arroyo\n role: party_b\neffective_date: '2026-01-05'\nterm_months: 15\nvalue: 510299\nstatus: pending\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "contract",
"type": "generation",
"estimated_tokens": 121
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output transaction record as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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:\ntxn_id = \"TXN-56334956\"\ncustomer_id = \"22233344-f0f2-434c-869c-d919b13dbc85\"\ntimestamp = \"2026-01-07T01:26:11.318292\"\nsubtotal = 767.52\ntax = 44.4\ntotal = 112.37\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-28497\"\nqty = 5\nprice = 124.08\n\n[[items]]\nsku = \"SKU-64150\"\nqty = 4\nprice = 49.31\n\n[[items]]\nsku = \"SKU-68367\"\nqty = 3\nprice = 96.12\n\n"
}
] | {
"format": "toml",
"complexity": "medium",
"schema": "transaction_record",
"type": "generation",
"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": "Output research paper as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper 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<research_paper>\n<paper_id>arXiv:2023.80040</paper_id>\n<title>Cloned optimizing emulation</title>\n<authors>\n<name>Valerie Castaneda</name>\n<affiliation>Davis-Mercado</affiliation>\n<email>collinsrebecca@example.com</email>\n</authors>\n<authors>\n<name>William Young</name>\n<affiliation>Olson LLC</affiliation>\n<email>angelavaughan@example.com</email>\n</authors>\n<abstract>When management risk glass history rich business. Leave speak dark seem.</abstract>\n<keywords>these</keywords>\n<keywords>opportunity</keywords>\n<keywords>shake</keywords>\n<keywords>attack</keywords>\n<keywords>center</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.7456/dTPH</doi>\n</publication>\n<citations>55</citations>\n<funding_source />\n</research_paper>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 274
} |
[
{
"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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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<student_assessment>\n<assessment_id>ASMT-585686</assessment_id>\n<student_id>STU-684915</student_id>\n<course_id>CRS-2612</course_id>\n<type>exam</type>\n<date>2026-01-06</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>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>88</total_score>\n<percentage>72.4</percentage>\n<grade>B</grade>\n</student_assessment>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "student_assessment",
"type": "generation",
"estimated_tokens": 410
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output research paper as XML."
},
{
"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:2024.70778</paper_id>\n<title>Secured holistic standardization</title>\n<authors>\n<name>James Ford</name>\n<affiliation>Brown-Walker</affiliation>\n<email>kdavila@example.com</email>\n</authors>\n<authors>\n<name>Jason Salinas</name>\n<affiliation>Richard PLC</affiliation>\n<email>allisonjones@example.net</email>\n</authors>\n<abstract>Perhaps a role. Else trouble majority safe evidence.\nRepresent summer fine. Republican system rich effect feeling exactly.</abstract>\n<keywords>agent</keywords>\n<keywords>alone</keywords>\n<keywords>stand</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2021</year>\n<doi>10.3503/KPTU</doi>\n</publication>\n<citations>355</citations>\n<funding_source />\n</research_paper>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 270
} |
[
{
"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 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 = \"Smith, Owen and Kennedy\"\nticker = \"ZSMZ\"\nquarter = \"Q2 2022\"\nrevenue = 19967056\nexpenses = 69342877\nnet_income = 19633749\neps = 8.65\n\n[metrics]\nprofit_margin = 10.93\nroe = 19.27\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 122
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output social media post as XML."
},
{
"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>leematthew</username>\n<content>Pass south detail product provide. Recently board lawyer view about discuss most. Sense decision sort play.</content>\n<timestamp>2026-01-07T01:26:12.314571</timestamp>\n</social_media_post>"
}
] | {
"format": "xml",
"complexity": "simple",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 151
} |
[
{
"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: 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:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-977504,cohort,181,875,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 55.49, \"\"endpoint\"\": 52.36, \"\"p_value\"\": 0.0911}, {\"\"metric\"\": \"\"effica\",Effect of strong on relationship\r\nnon-significant,EXP-321136,observational,135,474,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 98.3, \"\"endpoint\"\": 16.23, \"\"p_value\"\": 0.3499}, {\"\"metric\"\": \"\"efficac\",Effect of official on account\r\nsignificant,EXP-247481,RCT,85,497,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 12.12, \"\"endpoint\"\": 95.58, \"\"p_value\"\": 0.043}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of force on action\r\nnon-significant,EXP-102343,observational,301,550,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 39.24, \"\"endpoint\"\": 22.58, \"\"p_value\"\": 0.4386}, {\"\"metric\"\": \"\"effica\",Effect of little on term\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "experiment_result",
"type": "generation",
"estimated_tokens": 294
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate research paper data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"authors\": [\n {\n \"name\": \"John Durham\",\n \"affiliation\": \"Fletcher-Robinson\",\n \"email\": \"davidmitchell@example.com\"\n },\n {\n \"name\": \"Kendra Patrick\",\n \"affiliation\": \"Garrison Ltd\",\n \"email\": \"randymccoy@example.org\"\n },\n {\n \"name\": \"Scott Maxwell\",\n \"affiliation\": \"Rhodes, Hernandez and Fisher\",\n \"email\": \"tburns@example.net\"\n }\n ],\n \"citations\": 325,\n \"funding_source\": null\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 191
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate error log data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log 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 \"error_id\": \"cebbc049-1ae0-408e-8917-9dd8c6b66d72\",\n \"timestamp\": \"2026-01-07T01:26:10.998112\",\n \"level\": \"CRITICAL\",\n \"service\": \"withinService\",\n \"message\": \"Interesting everyone protect city see term.\",\n \"stack_trace\": [\n \"at off.py:273\",\n \"at decision.py:426\"\n ],\n \"context\": {\n \"user_id\": \"78b46de3-0459-4b62-a8db-5eea0d12b4ce\",\n \"request_id\": \"77f93502-3056-4bf6-bc14-18e9e02e61f9\"\n }\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "error_log",
"type": "generation",
"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": "Reformat the data below from CSV to JSON:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,Lipid,MRN-939849,LAB-9173872,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 137.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n2026-01-03,Lipid,MRN-902430,LAB-3218282,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 90.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 154\"\r\n2026-01-03,CBC,MRN-564318,LAB-6064747,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 129.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-01,Lipid,MRN-285954,LAB-6961737,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 95.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 80.5, \"\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert lab result from CSV to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"result_id\": \"LAB-9173872\",\n \"patient_mrn\": \"MRN-939849\",\n \"order_date\": \"2026-01-03\",\n \"panel\": \"Lipid\",\n \"results\": [\n {\n \"test\": \"Hemoglobin\",\n \"value\": 137.7,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 96.6,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 82.1,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 118.4,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 160.3,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n }\n ]\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "lab_result",
"type": "conversion",
"estimated_tokens": 239
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output api specification as CSV."
},
{
"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_/possible_get_parameters,paths_/possible_get_responses_200_description,paths_/possible_get_responses_400_description,paths_/possible_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Managed client-server database API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Alone we say particularly police.,,,,\r\n\"Maintain offer go way there clear loss. Finally standard mean defense surface.\nScene several anyone \",\"[{\"\"name\"\": \"\"Leslie Barnett\"\", \"\"affiliation\"\": \"\"Brown and Sons\"\", \"\"email\"\": \"\"pamela83@example.com\"\"}, {\"\"nam\",485,Willis Inc,,,\"[\"\"believe\"\", \"\"choose\"\", \"\"speak\"\", \"\"increase\"\"]\",,arXiv:2021.16972,,,,,10.1428/rdwy,Cell,2021,Re-contextualized intermediate productivity\r\nNo knowledge TV media know none. Significant dark court statement section few. Who up general reason,\"[{\"\"name\"\": \"\"Jorge Dunn\"\", \"\"affiliation\"\": \"\"Hernandez, Medina and Mckinney\"\", \"\"email\"\": \"\"jacquelineharriso\",289,None,,,\"[\"\"fear\"\", \"\"voice\"\", \"\"enjoy\"\"]\",,arXiv:2021.98443,,,,,10.9190/YEwi,Cell,2024,Mandatory regional open architecture\r\nBoth including maybe street piece future. Student treat drive way goal court. Fine level science.,\"[{\"\"name\"\": \"\"Joseph Dominguez\"\", \"\"affiliation\"\": \"\"Coffey LLC\"\", \"\"email\"\": \"\"spineda@example.org\"\"}, {\"\"name\"\":\",23,None,,,\"[\"\"far\"\", \"\"magazine\"\", \"\"class\"\"]\",,arXiv:2022.25746,,,,,10.8850/RDwp,Nature,2022,Operative clear-thinking hub\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 478
} |
[
{
"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:2021.59033</paper_id>\n<title>Secured analyzing Graphic Interface</title>\n<authors>\n<name>Jaime Wilkerson</name>\n<affiliation>Barber-Moore</affiliation>\n<email>iberry@example.com</email>\n</authors>\n<authors>\n<name>James Wiggins</name>\n<affiliation>Ellis, Lewis and Pierce</affiliation>\n<email>matthewgarrison@example.net</email>\n</authors>\n<authors>\n<name>Nicole Patterson</name>\n<affiliation>Smith Inc</affiliation>\n<email>amber32@example.org</email>\n</authors>\n<abstract>Town clear movie difference star. Finally yet rate so always arrive. Present foot off although fight business. Range peace will along early page.</abstract>\n<keywords>people</keywords>\n<keywords>stay</keywords>\n<keywords>election</keywords>\n<keywords>himself</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.3586/YIpH</doi>\n</publication>\n<citations>445</citations>\n<funding_source>Jackson and Sons</funding_source>\n</research_paper>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 327
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate research paper data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: 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:2022.82821\ntitle: Extended actuating matrices\nauthors:\n- name: Kevin Perry\n affiliation: Hurley Group\n email: daniel85@example.com\n- name: Angel Parker\n affiliation: Martinez Ltd\n email: jhayes@example.org\n- name: Brittany Johnson\n affiliation: Meyer-Patton\n email: rmccarthy@example.org\nabstract: Personal fear interesting generation. Former person especially make get\n behavior. Blood upon whom yourself everybody.\nkeywords:\n- election\n- threat\n- because\n- provide\n- be\npublication:\n venue: Cell\n year: 2024\n doi: 10.5400/zFvf\ncitations: 492\nfunding_source: Smith LLC\n"
}
] | {
"format": "yaml",
"complexity": "medium",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 226
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate transaction record data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-41173343</txn_id>\n<customer_id>bffcc9bf-c7ad-482d-a457-f67eac39f00a</customer_id>\n<timestamp>2026-01-07T01:26:14.110632</timestamp>\n<items>\n<sku>SKU-87844</sku>\n<qty>3</qty>\n<price>436.0</price>\n</items>\n<items>\n<sku>SKU-90224</sku>\n<qty>1</qty>\n<price>473.23</price>\n</items>\n<items>\n<sku>SKU-20215</sku>\n<qty>3</qty>\n<price>394.67</price>\n</items>\n<items>\n<sku>SKU-92206</sku>\n<qty>2</qty>\n<price>436.8</price>\n</items>\n<subtotal>714.81</subtotal>\n<tax>120.56</tax>\n<total>651.41</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "transaction_record",
"type": "generation",
"estimated_tokens": 234
} |
[
{
"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 product listing."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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 \"currency\": \"USD\",\n \"specs\": {\n \"weight_kg\": 43.4,\n \"dimensions\": \"59x69x33cm\"\n },\n \"product_id\": \"PROD-983904\",\n \"name\": \"Managed radical time-frame\"\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 120
} |
[
{
"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 contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-808591</contract_id>\n<parties>\n<name>Meyers, Cabrera and Miller</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Jenkins LLC</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>52</term_months>\n<value>315041</value>\n<status>executed</status>\n</contract>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "contract",
"type": "generation",
"estimated_tokens": 168
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-514156</contract_id>\n<parties>\n<name>Davidson, Erickson and Perez</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Coleman, Phillips and Baker</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>45</term_months>\n<value>553865</value>\n<status>executed</status>\n</contract>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert contract from XML to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"contract_id\": \"CTR-514156\",\n \"parties\": [\n {\n \"name\": \"Davidson, Erickson and Perez\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Coleman, Phillips and Baker\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-03\",\n \"term_months\": 45,\n \"value\": 553865,\n \"status\": \"executed\"\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "contract",
"type": "conversion",
"estimated_tokens": 156
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-483591\"\neffective_date = \"2026-01-04\"\nterm_months = 44\nvalue = 240809\nstatus = \"executed\"\n[[parties]]\nname = \"Briggs, Rasmussen and Cole\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Coleman, Lewis and Woods\"\nrole = \"party_b\"\n\n"
}
] | {
"format": "toml",
"complexity": "medium",
"schema": "contract",
"type": "generation",
"estimated_tokens": 132
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3498</course_id>\n<code>FIN264</code>\n<term>Spring 2021</term>\n</course_syllabus>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert course syllabus from XML to 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. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-3498\ncode: FIN264\nterm: Spring 2021\n"
}
] | {
"format": "yaml",
"complexity": "simple",
"schema": "course_syllabus",
"type": "conversion",
"estimated_tokens": 93
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate social media post data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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 \"post_id\": \"POST-79926521\",\n \"platform\": \"instagram\",\n \"user_id\": \"b4ea7e6a-7d16-4e2b-befc-450b4afe75b9\",\n \"username\": \"bjohnson\",\n \"content\": \"Blood summer from answer research allow suffer. Lay those establish play thought oil.\\nRoad daughter whole pattern level night computer. Ground hear goal. Beyond evening clear more draw pick watch.\",\n \"timestamp\": \"2026-01-07T01:26:12.467766\",\n \"hashtags\": [\n \"#use\",\n \"#include\",\n \"#country\",\n \"#woman\"\n ],\n \"engagement\": {\n \"likes\": 2028,\n \"shares\": 647,\n \"comments\": 424\n }\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 217
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate social media post data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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 \"post_id\": \"POST-76500071\",\n \"platform\": \"instagram\",\n \"user_id\": \"a012ee25-6d17-463c-a5af-3c175d07fba9\",\n \"username\": \"kennedycharles\",\n \"content\": \"Enter instead cover discover movement state. Born exist up. Least accept data represent business tax.\\nFigure easy style pull mention with. But law exist sort put husband character.\",\n \"timestamp\": \"2026-01-07T01:26:11.062802\",\n \"hashtags\": [\n \"#stuff\",\n \"#process\",\n \"#few\",\n \"#into\"\n ],\n \"engagement\": {\n \"likes\": 1779,\n \"shares\": 90,\n \"comments\": 24\n }\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 214
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Convert the following JSON to XML:\n{\n \"rx_id\": \"RX-9699126\",\n \"patient_mrn\": \"MRN-145802\",\n \"prescriber\": \"Wesley Keller\",\n \"date\": \"2026-01-02\",\n \"medications\": [\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"10mg\",\n \"frequency\": \"daily\",\n \"quantity\": 30\n },\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"10mg\",\n \"frequency\": \"TID\",\n \"quantity\": 90\n }\n ]\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert prescription from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9699126</rx_id>\n<patient_mrn>MRN-145802</patient_mrn>\n<prescriber>Wesley Keller</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "prescription",
"type": "conversion",
"estimated_tokens": 191
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output student assessment as CSV."
},
{
"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-809817,,CRS-6947,,2026-01-05,A,,,,,67.34,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-889156,,,92,assignment\r\n,KZV114,CRS-7486,3,,,40,30,30,Wendy Anthony,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"market\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"point\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"parent\"\"}, {\"\"we\",,,Spring 2023,Profound 3rdgeneration moratorium 101,,\r\n,MNF190,CRS-5741,4,,,40,30,30,John Fowler,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"start\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"decision\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"nice\"\"}, {\"\"we\",,,Spring 2022,Organic analyzing core 101,,\r\n,QAC128,CRS-5998,3,,,40,30,30,Douglas Campbell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"reflect\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"lawyer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"security\"\"}, \",,,Fall 2024,Grass-roots tangible access 101,,\r\n,JWG392,CRS-5165,4,,,40,30,30,Brandon Hawkins,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"law\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"few\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"fly\"\"}, {\"\"week\"\": 4, \",,,Fall 2024,Persevering human-resource portal 101,,\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "student_assessment",
"type": "generation",
"estimated_tokens": 386
} |
[
{
"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: 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\": \"November 2021\",\n \"total_revenue\": 6206642,\n \"units_sold\": 98463,\n \"channels\": [\n {\n \"name\": \"wholesale\",\n \"revenue\": 4099651,\n \"growth\": 36.93\n },\n {\n \"name\": \"online\",\n \"revenue\": 4453545,\n \"growth\": 12.49\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-5933\",\n \"sales\": 493873\n },\n {\n \"sku\": \"SKU-7813\",\n \"sales\": 496083\n },\n {\n \"sku\": \"SKU-8482\",\n \"sales\": 255782\n }\n ]\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 198
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Reformat the data below from JSON to XML:\n{\n \"course_id\": \"CRS-4915\",\n \"code\": \"OPX182\",\n \"title\": \"Customer-focused empowering orchestration 101\",\n \"instructor\": \"Patricia Thomas\",\n \"credits\": 3,\n \"term\": \"Fall 2020\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"interview\"\n },\n {\n \"week\": 2,\n \"topic\": \"threat\"\n },\n {\n \"week\": 3,\n \"topic\": \"process\"\n },\n {\n \"week\": 4,\n \"topic\": \"against\"\n },\n {\n \"week\": 5,\n \"topic\": \"easy\"\n },\n {\n \"week\": 6,\n \"topic\": \"manager\"\n },\n {\n \"week\": 7,\n \"topic\": \"experience\"\n },\n {\n \"week\": 8,\n \"topic\": \"push\"\n },\n {\n \"week\": 9,\n \"topic\": \"stage\"\n },\n {\n \"week\": 10,\n \"topic\": \"may\"\n },\n {\n \"week\": 11,\n \"topic\": \"popular\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert course syllabus from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4915</course_id>\n<code>OPX182</code>\n<title>Customer-focused empowering orchestration 101</title>\n<instructor>Patricia Thomas</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>interview</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>threat</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>process</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>against</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>easy</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>manager</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>experience</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>push</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>stage</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>may</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",
"type": "conversion",
"estimated_tokens": 319
} |
[
{
"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 lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab 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 \"result_id\": \"LAB-9598059\",\n \"patient_mrn\": \"MRN-375240\",\n \"order_date\": \"2026-01-05\",\n \"panel\": \"Lipid\",\n \"results\": [\n {\n \"test\": \"Hemoglobin\",\n \"value\": 86.2,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 116.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 131.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 159.0,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 161.4,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 87.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 102.7,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n }\n ]\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 292
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Reformat the data below from JSON to XML:\n{\n \"rx_id\": \"RX-6847501\",\n \"patient_mrn\": \"MRN-637576\",\n \"prescriber\": \"Victor Boyd\",\n \"date\": \"2026-01-06\",\n \"medications\": [\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"20mg\",\n \"frequency\": \"TID\",\n \"quantity\": 30\n },\n {\n \"name\": \"Metformin\",\n \"dosage\": \"20mg\",\n \"frequency\": \"daily\",\n \"quantity\": 90\n },\n {\n \"name\": \"Metformin\",\n \"dosage\": \"5mg\",\n \"frequency\": \"TID\",\n \"quantity\": 30\n }\n ]\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert prescription from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-6847501</rx_id>\n<patient_mrn>MRN-637576</patient_mrn>\n<prescriber>Victor Boyd</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "prescription",
"type": "conversion",
"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": "Output research paper as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nView prevent key money institution.,\"[{\"\"name\"\": \"\"Megan Casey DDS\"\", \"\"affiliation\"\": \"\"Brock LLC\"\", \"\"email\"\": \"\"erinallison@example.net\"\"}, {\"\"name\",14,Edwards PLC,\"[\"\"away\"\", \"\"sign\"\", \"\"skill\"\", \"\"care\"\"]\",arXiv:2021.87295,10.6925/yHaK,Nature,2023,Centralized demand-driven data-warehouse\r\nSense possible experience cup. Court here see conference government. Series while standard him show.,\"[{\"\"name\"\": \"\"Virginia Hunter\"\", \"\"affiliation\"\": \"\"Morrison, Norris and Williams\"\", \"\"email\"\": \"\"kellie28@exam\",184,\"Williams, Dixon and Flowers\",\"[\"\"way\"\", \"\"evening\"\", \"\"gun\"\"]\",arXiv:2021.38154,10.9200/Wzec,Science,2022,Face-to-face analyzing encryption\r\nDaughter do learn best. Surface spring best it inside head and already. Adult throw writer second de,\"[{\"\"name\"\": \"\"Taylor Mccarthy\"\", \"\"affiliation\"\": \"\"Green PLC\"\", \"\"email\"\": \"\"williamsjohn@example.com\"\"}, {\"\"nam\",384,Garcia-Glenn,\"[\"\"score\"\", \"\"air\"\", \"\"decision\"\", \"\"word\"\"]\",arXiv:2021.88455,10.7630/lauc,Nature,2024,Seamless fault-tolerant artificial intelligence\r\n\"Deep point kid deal common.\nWear chair whom similar. Democrat hour office those ago.\nDrug red succes\",\"[{\"\"name\"\": \"\"Jessica Leonard\"\", \"\"affiliation\"\": \"\"Pena LLC\"\", \"\"email\"\": \"\"stacy81@example.org\"\"}, {\"\"name\"\": \"\"A\",261,Herrera-Gonzalez,\"[\"\"attack\"\", \"\"grow\"\", \"\"small\"\", \"\"such\"\"]\",arXiv:2021.15830,10.9942/HWdV,Nature,2021,Open-architected zero tolerance solution\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 456
} |
[
{
"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 course syllabus."
},
{
"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-8625</course_id>\n<code>VJN392</code>\n<title>Monitored dynamic challenge 101</title>\n<instructor>Samuel Hernandez</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>still</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>sing</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>girl</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>thing</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>report</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>movement</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>cost</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>affect</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>six</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",
"type": "generation",
"estimated_tokens": 296
} |
[
{
"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 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-514156</contract_id>\n<parties>\n<name>Davidson, Erickson and Perez</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Coleman, Phillips and Baker</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>45</term_months>\n<value>553865</value>\n<status>executed</status>\n</contract>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "contract",
"type": "generation",
"estimated_tokens": 172
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: 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 \"quarter\": \"Q4 2020\",\n \"expenses\": 65452521,\n \"eps\": 7.62\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 95
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output customer review as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: 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:\nreview_id: REV-4466504\nproduct_id: PROD-676385\nuser_id: f7418853-ab35-4ce5-b7e0-801ab363f310\nrating: 4\ntitle: Matter less democratic else.\ncontent: Job century word marriage into help culture. Week shoulder learn memory account\n watch.\ndate: '2026-01-01'\nverified_purchase: true\nhelpful_votes: 52\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 152
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate prescription data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription 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<prescription>\n<rx_id>RX-1746971</rx_id>\n<patient_mrn>MRN-694230</patient_mrn>\n<prescriber>Robert Gregory</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "prescription",
"type": "generation",
"estimated_tokens": 221
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Reformat the data below from CSV to JSON:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,Lipid,MRN-243411,LAB-3958918,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 198.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 16\"\r\n2026-01-02,CMP,MRN-233219,LAB-8098767,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 94.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 142.2, \"\"\"\r\n2026-01-04,CBC,MRN-952680,LAB-4261746,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 140.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 12\"\r\n2026-01-06,Lipid,MRN-816513,LAB-7335485,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 59.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert lab result from CSV to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"result_id\": \"LAB-3958918\",\n \"patient_mrn\": \"MRN-243411\",\n \"order_date\": \"2026-01-01\",\n \"panel\": \"Lipid\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 198.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 160.0,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 191.3,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 76.6,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 119.9,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 196.9,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n }\n ]\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "lab_result",
"type": "conversion",
"estimated_tokens": 264
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.97467</paper_id>\n<title>Configurable explicit flexibility</title>\n<authors>\n<name>Andrew Contreras</name>\n<affiliation>Willis-Dunn</affiliation>\n<email>brett89@example.net</email>\n</authors>\n<authors>\n<name>Jennifer Wood</name>\n<affiliation>Mathis Group</affiliation>\n<email>victoria91@example.net</email>\n</authors>\n<abstract>Any low smile recognize necessary. Everybody source teach could company understand middle. Maybe environment early quality you surface.</abstract>\n<keywords>determine</keywords>\n<keywords>radio</keywords>\n<keywords>join</keywords>\n<keywords>various</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2020</year>\n<doi>10.4089/BsZH</doi>\n</publication>\n<citations>167</citations>\n<funding_source />\n</research_paper>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert research paper from XML to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"paper_id\": \"arXiv:2024.97467\",\n \"title\": \"Configurable explicit flexibility\",\n \"authors\": [\n {\n \"name\": \"Andrew Contreras\",\n \"affiliation\": \"Willis-Dunn\",\n \"email\": \"brett89@example.net\"\n },\n {\n \"name\": \"Jennifer Wood\",\n \"affiliation\": \"Mathis Group\",\n \"email\": \"victoria91@example.net\"\n }\n ],\n \"abstract\": \"Any low smile recognize necessary. Everybody source teach could company understand middle. Maybe environment early quality you surface.\",\n \"keywords\": [\n \"determine\",\n \"radio\",\n \"join\",\n \"various\"\n ],\n \"publication\": {\n \"venue\": \"Cell\",\n \"year\": 2020,\n \"doi\": \"10.4089/BsZH\"\n },\n \"citations\": 167,\n \"funding_source\": null\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "research_paper",
"type": "conversion",
"estimated_tokens": 256
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Convert the following YAML to JSON:\ntitle: Us guess foreign amount experience modern sister w\ndate: '2026-01-01'\nrating: 4\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert customer review from YAML to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"title\": \"Us guess foreign amount experience modern sister w\",\n \"date\": \"2026-01-01\",\n \"rating\": 4\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "customer_review",
"type": "conversion",
"estimated_tokens": 107
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate clinical note data in XML format."
},
{
"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-1231493</note_id>\n<patient>\n<mrn>MRN-611383</mrn>\n<age>31</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-01</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>101/85</bp>\n<hr>66</hr>\n<temp_f>97.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I72</icd10>\n</assessment>\n</clinical_note>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 178
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate prescription data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription 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 \"prescriber\": \"Tiffany Sanchez\",\n \"date\": \"2026-01-01\",\n \"rx_id\": \"RX-4079006\"\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "prescription",
"type": "generation",
"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": "Output contract as YAML."
},
{
"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:\nstatus: active\ncontract_id: CTR-272020\neffective_date: '2026-01-03'\nparties:\n- name: Green-Williams\n role: party_a\n- name: Richardson, Osborne and Sawyer\n role: party_b\n"
}
] | {
"format": "yaml",
"complexity": "simple",
"schema": "contract",
"type": "generation",
"estimated_tokens": 120
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate course syllabus data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nWID449,CRS-5591,3,40,30,30,Gabriella Scott DDS,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"final\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"character\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"treatment\"\"}\",Fall 2020,Proactive solution-oriented secured line 101\r\nMJP376,CRS-1325,4,40,30,30,James Jones,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"he\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"center\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"short\"\"}, {\"\"week\"\":\",Fall 2024,Polarized solution-oriented software 101\r\nNZU201,CRS-7960,3,40,30,30,Rachael Curry,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"raise\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"idea\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"production\"\"}, {\"\"\",Fall 2020,Re-contextualized mobile toolset 101\r\nICH152,CRS-7356,4,40,30,30,Kyle Scott,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bad\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"question\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"community\"\"}, {\",Fall 2020,Compatible dedicated system engine 101\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 317
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output clinical note as CSV."
},
{
"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\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I58\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I59\"\"}]\",chest pain,2026-01-05,CN-3176262,61,F,MRN-872635,142/65,118,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K69\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K19\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-02,CN-3404668,48,M,MRN-772693,126/95,105,100.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I29\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K33\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-06,CN-8409217,58,M,MRN-718574,124/104,76,102.3\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 242
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nstatus = \"active\"\ncontract_id = \"CTR-272020\"\neffective_date = \"2026-01-03\"\n[[parties]]\nname = \"Green-Williams\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Richardson, Osborne and Sawyer\"\nrole = \"party_b\"\n\n"
}
] | {
"format": "toml",
"complexity": "simple",
"schema": "contract",
"type": "generation",
"estimated_tokens": 123
} |
[
{
"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-6879471\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K95\"\n\n[patient]\nmrn = \"MRN-356604\"\nage = 82\ngender = \"M\"\n\n[vitals]\nbp = \"119/96\"\nhr = 63\ntemp_f = 102.9\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 133
} |
[
{
"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 research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.57712\ntitle: Robust non-volatile complexity\nauthors:\n- name: Austin Fitzgerald\n affiliation: Parker, Dunlap and Robertson\n email: meghan71@example.com\n- name: Jorge Rivera\n affiliation: Brown Ltd\n email: angela01@example.org\n- name: Charles Moore\n affiliation: Mclaughlin and Sons\n email: bmora@example.org\nabstract: Audience month over eye. Idea feeling few sign option city per shoulder.\n Positive claim until family.\nkeywords:\n- find\n- manager\n- theory\n- floor\npublication:\n venue: Nature\n year: 2023\n doi: 10.4603/MdXZ\ncitations: 83\nfunding_source: null\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 225
} |
[
{
"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: 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:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-5655804,Eric Cunningham,\"Eye three first think community. Finally range every floor piece write shake.\nRule skin open plant p\",Operative explicit Internet solution,2026-01-03T07:17:07.227865,Sports,3395,\"[\"\"figure\"\", \"\"pressure\"\", \"\"reason\"\"]\",27919\r\nART-2451104,Christopher Mcclain,\"Add someone my minute without whatever. Something term forget test current budget trip.\nStay often d\",Sharable static throughput,2026-01-01T01:18:22.990027,Tech,1398,\"[\"\"lose\"\", \"\"remain\"\", \"\"available\"\", \"\"no\"\", \"\"down\"\"]\",51628\r\nART-6507589,Phillip Bird,Debate special involve line very. Despite race teacher although without phone. Performance country b,Optional human-resource architecture,2026-01-06T20:04:36.305144,Sports,3802,\"[\"\"spring\"\", \"\"child\"\", \"\"election\"\", \"\"agency\"\", \"\"bill\"\"]\",43907\r\nART-4879228,Crystal Rivas,\"Social speak few until. Of drug assume gas fill. Society service challenge somebody price degree.\nNa\",Synergized uniform Internet solution,2026-01-04T07:03:15.553088,Politics,3212,\"[\"\"citizen\"\", \"\"local\"\", \"\"involve\"\"]\",15346\r\nART-5474889,Tracey Ford,Decade history phone. Spring after much left majority. Agree near time energy person popular nor cas,Polarized dedicated policy,2026-01-03T05:21:55.837810,Politics,3596,\"[\"\"between\"\", \"\"bed\"\", \"\"social\"\", \"\"with\"\"]\",26437\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "news_article",
"type": "generation",
"estimated_tokens": 417
} |
[
{
"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: 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_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-337534,,CRS-2209,,2026-01-06,C,,,,,96.92,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 3, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-684624,,,77,exam\r\n,WHO143,CRS-1285,4,,,40,30,30,Pamela Huynh,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"appear\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"size\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"shake\"\"}, {\"\"week\",,,Spring 2023,Customizable optimizing portal 101,,\r\n,UCO361,CRS-6260,4,,,40,30,30,Teresa Morris,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"east\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"throw\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"already\"\"}, {\"\"wee\",,,Spring 2020,Versatile methodical toolset 101,,\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "student_assessment",
"type": "generation",
"estimated_tokens": 275
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate course syllabus data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: 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:\ncourse_id: CRS-8484\ncode: UCE456\ntitle: Balanced incremental leverage 101\ninstructor: Helen Mitchell\ncredits: 4\nterm: Spring 2021\nschedule:\n- week: 1\n topic: final\n- week: 2\n topic: yet\n- week: 3\n topic: suffer\n- week: 4\n topic: matter\n- week: 5\n topic: between\n- week: 6\n topic: ask\n- week: 7\n topic: but\n- week: 8\n topic: fact\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 175
} |
[
{
"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-67423083</post_id>\n<platform>twitter</platform>\n<user_id>80ae6c09-afaf-4e18-a928-887d901005f9</user_id>\n<username>laurawalker</username>\n<content>Positive because become school item only view. Wear three matter hand listen move lay federal. Two activity one author become.</content>\n<timestamp>2026-01-07T01:26:11.015086</timestamp>\n<hashtags>#itself</hashtags>\n<hashtags>#enjoy</hashtags>\n<engagement>\n<likes>1855</likes>\n<shares>454</shares>\n<comments>9</comments>\n</engagement>\n</social_media_post>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 221
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4497818\"\npatient_mrn = \"MRN-267019\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 129.0\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 177.6\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 87.0\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 54.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 198.5\nunit = \"mg/dL\"\nflag = \"low\"\n\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 187
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Reformat the data below from JSON to YAML:\n{\n \"error_id\": \"57e44b0a-beeb-40b8-8c20-74f532916cf6\",\n \"timestamp\": \"2026-01-07T01:26:11.941765\",\n \"level\": \"WARNING\",\n \"service\": \"eitherService\",\n \"message\": \"Office goal away as.\",\n \"stack_trace\": [\n \"at red.py:327\",\n \"at more.py:112\"\n ],\n \"context\": {\n \"user_id\": \"949db394-e7b6-4997-9f41-d2d123a1f6c1\",\n \"request_id\": \"f015b2e2-ad14-4714-85e9-6e90613d6e9e\"\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert error log from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\nerror_id: 57e44b0a-beeb-40b8-8c20-74f532916cf6\ntimestamp: '2026-01-07T01:26:11.941765'\nlevel: WARNING\nservice: eitherService\nmessage: Office goal away as.\nstack_trace:\n- at red.py:327\n- at more.py:112\ncontext:\n user_id: 949db394-e7b6-4997-9f41-d2d123a1f6c1\n request_id: f015b2e2-ad14-4714-85e9-6e90613d6e9e\n"
}
] | {
"format": "yaml",
"complexity": "medium",
"schema": "error_log",
"type": "conversion",
"estimated_tokens": 155
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate product listing data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Managed needs-based hierarchy,202.33,PROD-944250,1.7,628,69x44x37cm,28.65,321\r\nbooks,USD,True,Adaptive radical support,75.37,PROD-739042,2.37,352,55x19x85cm,14.33,852\r\nbooks,USD,True,Face-to-face hybrid core,867.41,PROD-152627,3.25,290,28x93x11cm,46.01,43\r\nbooks,USD,True,Down-sized solution-oriented product,579.51,PROD-100027,1.01,138,76x39x10cm,19.47,401\r\nclothing,USD,True,Cloned 6thgeneration product,461.22,PROD-711020,2.9,252,39x45x96cm,17.81,985\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 222
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Convert the following JSON to YAML:\n{\n \"assessment_id\": \"ASMT-949804\",\n \"student_id\": \"STU-999892\",\n \"course_id\": \"CRS-8579\",\n \"type\": \"quiz\",\n \"date\": \"2026-01-05\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 6,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 3,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 4,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 8,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 9,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 10,\n \"points_earned\": 4,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 54,\n \"percentage\": 96.35,\n \"grade\": \"B\"\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert student assessment from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\nassessment_id: ASMT-949804\nstudent_id: STU-999892\ncourse_id: CRS-8579\ntype: quiz\ndate: '2026-01-05'\nscores:\n- question: 1\n points_earned: 7\n points_possible: 10\n- question: 2\n points_earned: 6\n points_possible: 10\n- question: 3\n points_earned: 3\n points_possible: 10\n- question: 4\n points_earned: 10\n points_possible: 10\n- question: 5\n points_earned: 7\n points_possible: 10\n- question: 6\n points_earned: 4\n points_possible: 10\n- question: 7\n points_earned: 1\n points_possible: 10\n- question: 8\n points_earned: 1\n points_possible: 10\n- question: 9\n points_earned: 1\n points_possible: 10\n- question: 10\n points_earned: 4\n points_possible: 10\ntotal_score: 54\npercentage: 96.35\ngrade: B\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "student_assessment",
"type": "conversion",
"estimated_tokens": 256
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"rating\": 2,\n \"date\": \"2026-01-01\",\n \"helpful_votes\": 73,\n \"title\": \"News production decide today.\",\n \"verified_purchase\": false\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 113
} |
[
{
"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 financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Perez, Luna and Martin\",7.26,27659803,16.38,8.11,7949721,Q1 2020,74600917,STKF\r\nGuzman and Sons,9.56,55644690,6.07,12.44,16177092,Q2 2021,25541678,GNTP\r\n\"Rodriguez, Garcia and Wood\",6.28,11574191,5.48,10.07,12902591,Q3 2022,51217233,BJLT\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "financial_report",
"type": "generation",
"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": "Create a JSON representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Business-focused composite flexibility API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/total\": {\n \"get\": {\n \"summary\": \"Building public truth decade.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 245
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Convert the following YAML to JSON:\ncompany: Kaiser-Andrews\nticker: WULG\nquarter: Q4 2022\nrevenue: 97370821\nexpenses: 78723404\nnet_income: 9585923\neps: 9.85\nmetrics:\n profit_margin: 23.02\n roe: 16.56\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert financial report from YAML to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"company\": \"Kaiser-Andrews\",\n \"ticker\": \"WULG\",\n \"quarter\": \"Q4 2022\",\n \"revenue\": 97370821,\n \"expenses\": 78723404,\n \"net_income\": 9585923,\n \"eps\": 9.85,\n \"metrics\": {\n \"profit_margin\": 23.02,\n \"roe\": 16.56\n }\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "financial_report",
"type": "conversion",
"estimated_tokens": 137
} |
[
{
"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: 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:\nerror_id = \"744374e9-663a-4ac9-8a1c-08e4745c208c\"\ntimestamp = \"2026-01-07T01:26:14.535166\"\nlevel = \"ERROR\"\nservice = \"democraticService\"\nmessage = \"View product product over catch experience recognize politics.\"\nstack_trace = [ \"at give.py:400\", \"at play.py:27\", \"at husband.py:365\", \"at wide.py:107\",]\n\n[context]\nuser_id = \"47acb10a-4af3-41a3-83fb-c4de3fd3b428\"\nrequest_id = \"2abb359a-e44f-4207-b2a4-3962374766e8\"\n"
}
] | {
"format": "toml",
"complexity": "medium",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 176
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output course syllabus as TOML."
},
{
"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-6118\"\ncode = \"JCB178\"\ntitle = \"Quality-focused leadingedge complexity 101\"\ninstructor = \"Susan Carter\"\ncredits = 3\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"strategy\"\n\n[[schedule]]\nweek = 2\ntopic = \"religious\"\n\n[[schedule]]\nweek = 3\ntopic = \"would\"\n\n[[schedule]]\nweek = 4\ntopic = \"strategy\"\n\n[[schedule]]\nweek = 5\ntopic = \"explain\"\n\n[[schedule]]\nweek = 6\ntopic = \"force\"\n\n[[schedule]]\nweek = 7\ntopic = \"shake\"\n\n[[schedule]]\nweek = 8\ntopic = \"himself\"\n\n[[schedule]]\nweek = 9\ntopic = \"product\"\n\n[[schedule]]\nweek = 10\ntopic = \"environment\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 227
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Transform this JSON data into YAML format:\n{\n \"error_id\": \"f0260cae-6cae-4d43-b5b5-a4c8ca2b288c\",\n \"timestamp\": \"2026-01-07T01:26:14.692399\",\n \"level\": \"WARNING\",\n \"service\": \"bringService\",\n \"message\": \"Republican media form.\",\n \"stack_trace\": [\n \"at ago.py:121\",\n \"at local.py:225\",\n \"at young.py:313\",\n \"at street.py:257\"\n ],\n \"context\": {\n \"user_id\": \"0a8b29b7-392c-4e6b-b651-35bb6e5752ec\",\n \"request_id\": \"77fab727-e699-43d1-a0e0-ef65bcde87ca\"\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert error log from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\nerror_id: f0260cae-6cae-4d43-b5b5-a4c8ca2b288c\ntimestamp: '2026-01-07T01:26:14.692399'\nlevel: WARNING\nservice: bringService\nmessage: Republican media form.\nstack_trace:\n- at ago.py:121\n- at local.py:225\n- at young.py:313\n- at street.py:257\ncontext:\n user_id: 0a8b29b7-392c-4e6b-b651-35bb6e5752ec\n request_id: 77fab727-e699-43d1-a0e0-ef65bcde87ca\n"
}
] | {
"format": "yaml",
"complexity": "medium",
"schema": "error_log",
"type": "conversion",
"estimated_tokens": 164
} |
[
{
"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 customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review 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:\nreview_id = \"REV-4151270\"\nproduct_id = \"PROD-888155\"\nuser_id = \"50b1cc60-ac00-4a91-a490-db376ac879aa\"\nrating = 5\ntitle = \"Really character everything must local family.\"\ncontent = \"End send prevent stay box. Professional modern money worker carry road. Personal still cup require type bill.\"\ndate = \"2026-01-06\"\nverified_purchase = true\nhelpful_votes = 53\n"
}
] | {
"format": "toml",
"complexity": "medium",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 163
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate financial report data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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<financial_report>\n<company>Foster, Villegas and Allen</company>\n<ticker>IDEC</ticker>\n<quarter>Q4 2020</quarter>\n<revenue>77017744</revenue>\n<expenses>3181180</expenses>\n<net_income>10938761</net_income>\n<eps>6.78</eps>\n<metrics>\n<profit_margin>10.92</profit_margin>\n<roe>12.41</roe>\n</metrics>\n</financial_report>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 166
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output lab result as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-7327375</result_id>\n<patient_mrn>MRN-616320</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>106.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>159.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>128.7</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>56.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>109.5</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "lab_result",
"type": "generation",
"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": "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-4150804\npatient:\n mrn: MRN-300983\n age: 74\n gender: M\nencounter_date: '2026-01-03'\nchief_complaint: chest pain\nvitals:\n bp: 105/60\n hr: 75\n temp_f: 98.4\nassessment:\n- problem: hypertension\n icd10: J93\n- problem: hypertension\n icd10: J76\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 142
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate course syllabus data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-8234\"\ncode = \"YGH221\"\ntitle = \"Exclusive context-sensitive website 101\"\ninstructor = \"Anna Allen\"\ncredits = 4\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"international\"\n\n[[schedule]]\nweek = 2\ntopic = \"little\"\n\n[[schedule]]\nweek = 3\ntopic = \"who\"\n\n[[schedule]]\nweek = 4\ntopic = \"final\"\n\n[[schedule]]\nweek = 5\ntopic = \"care\"\n\n[[schedule]]\nweek = 6\ntopic = \"sing\"\n\n[[schedule]]\nweek = 7\ntopic = \"left\"\n\n[[schedule]]\nweek = 8\ntopic = \"red\"\n\n[[schedule]]\nweek = 9\ntopic = \"present\"\n\n[[schedule]]\nweek = 10\ntopic = \"travel\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 222
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Produce a XML document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2020</period>\n<total_revenue>3880767</total_revenue>\n<units_sold>14579</units_sold>\n<channels>\n<name>online</name>\n<revenue>3387098</revenue>\n<growth>16.96</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3402864</revenue>\n<growth>42.59</growth>\n</channels>\n<top_products>\n<sku>SKU-7191</sku>\n<sales>124693</sales>\n</top_products>\n<top_products>\n<sku>SKU-6743</sku>\n<sales>420169</sales>\n</top_products>\n<top_products>\n<sku>SKU-5756</sku>\n<sales>309151</sales>\n</top_products>\n</sales_analytics>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 222
} |
[
{
"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 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 = \"User-friendly analyzing definition API\"\nversion = \"1.0.0\"\n\n[paths.\"/upon\".get]\nsummary = \"Can although economy once indicate reflect.\"\n[[paths.\"/upon\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/upon\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/upon\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/upon\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/upon\".get.responses.400]\ndescription = \"Bad Request\"\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 207
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate sales analytics data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1659163, \"\"growth\"\": 5.12}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 436629, \"\"g\",,,,,August 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-2878\"\", \"\"sales\"\": 229782}, {\"\"sku\"\": \"\"SKU-4457\"\", \"\"sales\"\": 274374}, {\"\"sku\"\": \"\"SKU-6209\"\", \"\"sa\",4981015,45256\r\nDemocrat bed middle behind create person. Just million part Mr president.,\"[{\"\"name\"\": \"\"Philip Jones\"\", \"\"affiliation\"\": \"\"Clark and Sons\"\", \"\"email\"\": \"\"brian57@example.com\"\"}, {\"\"name\"\":\",,114,Robles PLC,\"[\"\"kid\"\", \"\"someone\"\", \"\"agent\"\", \"\"including\"\"]\",arXiv:2023.82277,,10.6846/nFin,Nature,2020,Multi-channeled scalable function,,,\r\nLight director trial fly meet. Even society along across find imagine. Government compare list hear.,\"[{\"\"name\"\": \"\"Brian Marshall\"\", \"\"affiliation\"\": \"\"Garcia PLC\"\", \"\"email\"\": \"\"swells@example.com\"\"}, {\"\"name\"\": \"\"B\",,59,Rodriguez-Burns,\"[\"\"expect\"\", \"\"plant\"\", \"\"fly\"\"]\",arXiv:2022.48958,,10.6526/nbNB,Nature,2023,Seamless impactful knowledgebase,,,\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 362
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Convert the following JSON to XML:\n{\n \"company\": \"Montes-Richardson\",\n \"ticker\": \"NZLE\",\n \"quarter\": \"Q4 2021\",\n \"revenue\": 27172554,\n \"expenses\": 16565013,\n \"net_income\": 15418036,\n \"eps\": 2.53,\n \"metrics\": {\n \"profit_margin\": 6.13,\n \"roe\": 10.3\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert financial report from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Montes-Richardson</company>\n<ticker>NZLE</ticker>\n<quarter>Q4 2021</quarter>\n<revenue>27172554</revenue>\n<expenses>16565013</expenses>\n<net_income>15418036</net_income>\n<eps>2.53</eps>\n<metrics>\n<profit_margin>6.13</profit_margin>\n<roe>10.3</roe>\n</metrics>\n</financial_report>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "financial_report",
"type": "conversion",
"estimated_tokens": 165
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Reformat the data below from CSV to JSON:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,7a356b03-06c2-4f7a-942e-f59608baa9dd,d688d508-33f3-4d4c-9bea-5907cdf56165,14ae8ed3-6b55-40da-8ce1-0df499a5acbd,,,CRITICAL,Right at clear respond.,,,,,niceService,\"[\"\"at between.py:225\"\", \"\"at lose.py:411\"\", \"\"at direction.py:43\"\", \"\"at administration.py:283\"\"]\",2026-01-07T01:26:12.379465,\r\nPretty role air western ground. Head increase second newspaper look for.,\"[{\"\"name\"\": \"\"Kevin Richardson\"\", \"\"affiliation\"\": \"\"White-Smith\"\", \"\"email\"\": \"\"georgejill@example.org\"\"}, {\"\"na\",39,,,,\"Smith, Padilla and Davenport\",\"[\"\"themselves\"\", \"\"your\"\", \"\"style\"\", \"\"so\"\", \"\"draw\"\"]\",,,arXiv:2024.49100,10.2375/SnHT,Science,2020,,,,Organic coherent frame\r\nTough rule upon child. Without enough hospital of onto. Three during put my various article.,\"[{\"\"name\"\": \"\"Ryan Watkins\"\", \"\"affiliation\"\": \"\"Smith-Pena\"\", \"\"email\"\": \"\"tsandoval@example.com\"\"}, {\"\"name\"\": \"\"\",138,,,,None,\"[\"\"give\"\", \"\"husband\"\", \"\"unit\"\"]\",,,arXiv:2024.48226,10.3907/WGbx,Cell,2020,,,,Horizontal interactive moratorium\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert error log from CSV to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"error_id\": \"14ae8ed3-6b55-40da-8ce1-0df499a5acbd\",\n \"timestamp\": \"2026-01-07T01:26:12.379465\",\n \"level\": \"CRITICAL\",\n \"service\": \"niceService\",\n \"message\": \"Right at clear respond.\",\n \"stack_trace\": [\n \"at between.py:225\",\n \"at lose.py:411\",\n \"at direction.py:43\",\n \"at administration.py:283\"\n ],\n \"context\": {\n \"user_id\": \"d688d508-33f3-4d4c-9bea-5907cdf56165\",\n \"request_id\": \"7a356b03-06c2-4f7a-942e-f59608baa9dd\"\n }\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "error_log",
"type": "conversion",
"estimated_tokens": 190
} |
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-711127\"\nstudent_id = \"STU-193006\"\ncourse_id = \"CRS-9185\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 73\npercentage = 59.24\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 1\npoints_possible = 10\n\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "student_assessment",
"type": "generation",
"estimated_tokens": 277
} |
[
{
"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 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-67423083\"\nplatform = \"twitter\"\nuser_id = \"80ae6c09-afaf-4e18-a928-887d901005f9\"\nusername = \"laurawalker\"\ncontent = \"Positive because become school item only view. Wear three matter hand listen move lay federal. Two activity one author become.\"\ntimestamp = \"2026-01-07T01:26:11.015086\"\nhashtags = [ \"#itself\", \"#enjoy\",]\n\n[engagement]\nlikes = 1855\nshares = 454\ncomments = 9\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 172
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output prescription as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: 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<prescription>\n<rx_id>RX-2134242</rx_id>\n<patient_mrn>MRN-942356</patient_mrn>\n<prescriber>Sharon Brown</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "prescription",
"type": "generation",
"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": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-716657</product_id>\n<name>Persevering explicit adapter</name>\n<category>electronics</category>\n<price>995.97</price>\n<currency>USD</currency>\n<stock>381</stock>\n<is_available>True</is_available>\n<rating>2.06</rating>\n<reviews>362</reviews>\n<specs>\n<weight_kg>11.93</weight_kg>\n<dimensions>70x78x84cm</dimensions>\n</specs>\n</product_listing>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert product listing from XML to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"product_id\": \"PROD-716657\",\n \"name\": \"Persevering explicit adapter\",\n \"category\": \"electronics\",\n \"price\": 995.97,\n \"currency\": \"USD\",\n \"stock\": 381,\n \"is_available\": true,\n \"rating\": 2.06,\n \"reviews\": 362,\n \"specs\": {\n \"weight_kg\": 11.93,\n \"dimensions\": \"70x78x84cm\"\n }\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "product_listing",
"type": "conversion",
"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": "Create a YAML representation of lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9572539\npatient_mrn: MRN-420020\norder_date: '2026-01-01'\npanel: CBC\nresults:\n- test: Hemoglobin\n value: 192.0\n unit: mg/dL\n flag: high\n- test: Glucose\n value: 60.5\n unit: mg/dL\n flag: normal\n- test: WBC\n value: 118.9\n unit: g/dL\n flag: high\n- test: Hemoglobin\n value: 86.5\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 61.7\n unit: g/dL\n flag: low\n"
}
] | {
"format": "yaml",
"complexity": "medium",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 172
} |
[
{
"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 research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper 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 \"paper_id\": \"arXiv:2024.51874\",\n \"title\": \"Advanced radical throughput\",\n \"authors\": [\n {\n \"name\": \"April Smith MD\",\n \"affiliation\": \"Brown LLC\",\n \"email\": \"xbrewer@example.org\"\n },\n {\n \"name\": \"Craig Diaz\",\n \"affiliation\": \"Gray and Sons\",\n \"email\": \"acameron@example.org\"\n },\n {\n \"name\": \"Mary Singleton\",\n \"affiliation\": \"Ramirez, Reyes and Dennis\",\n \"email\": \"rebecca22@example.com\"\n }\n ],\n \"abstract\": \"Sign bad light couple against. Boy room by travel. Democrat film spring contain.\\nCapital difficult behind million get at social. Area mouth training.\",\n \"keywords\": [\n \"west\",\n \"hotel\",\n \"also\"\n ],\n \"publication\": {\n \"venue\": \"Cell\",\n \"year\": 2020,\n \"doi\": \"10.9109/EQAY\"\n },\n \"citations\": 300,\n \"funding_source\": \"Fox Ltd\"\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 285
} |
[
{
"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: 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,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,\"[{\"\"name\"\": \"\"Victoria Watson\"\", \"\"affiliation\"\": \"\"Key, Richards and Gomez\"\", \"\"email\"\": \"\"jorge18@example.net\",,,\"[\"\"however\"\", \"\"fact\"\", \"\"draw\"\"]\",arXiv:2024.79917,,,,\r\nAdult hard decision serious product ten. Home response color thousand can rich.,\"[{\"\"name\"\": \"\"Joanna Griffith\"\", \"\"affiliation\"\": \"\"Bradley, Turner and Reed\"\", \"\"email\"\": \"\"rebecca51@example.\",17,Miller PLC,\"[\"\"personal\"\", \"\"form\"\", \"\"listen\"\"]\",arXiv:2021.75705,10.6186/JXtZ,Cell,2024,Stand-alone composite moderator\r\n\"Become article group take. To we recent sea room Congress team.\nReligious when performance mention.\",\"[{\"\"name\"\": \"\"Michelle Stevens\"\", \"\"affiliation\"\": \"\"Burns-Henderson\"\", \"\"email\"\": \"\"grayjohn@example.com\"\"}, {\"\"\",434,\"Scott, Noble and Woods\",\"[\"\"great\"\", \"\"contain\"\", \"\"position\"\", \"\"tax\"\", \"\"recently\"\"]\",arXiv:2024.79576,10.9515/uuAD,Cell,2023,Switchable grid-enabled software\r\nWriter suffer its. Building night in. Everyone yes others support sell church turn.,\"[{\"\"name\"\": \"\"Nancy Hoffman\"\", \"\"affiliation\"\": \"\"Sloan, Campbell and Scott\"\", \"\"email\"\": \"\"lwelch@example.org\"\"\",1,None,\"[\"\"voice\"\", \"\"be\"\", \"\"yourself\"\", \"\"life\"\", \"\"care\"\"]\",arXiv:2021.28123,10.4004/MZEl,Cell,2021,Persevering directional array\r\n"
}
] | {
"format": "csv",
"complexity": "simple",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 410
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate social media post data in YAML format."
},
{
"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-45290210\nplatform: instagram\nuser_id: bbb035d4-0f61-413b-897c-cd72fa595a38\nusername: monicabaker\ncontent: 'Administration any add. Tough pick turn may church worry.\n\n Left federal know risk bank. Degree out provide relate west writer age.'\ntimestamp: '2026-01-07T01:26:14.663547'\nhashtags:\n- '#of'\n- '#turn'\n- '#present'\nengagement:\n likes: 8210\n shares: 180\n comments: 67\n"
}
] | {
"format": "yaml",
"complexity": "medium",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 176
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Reformat the data below from YAML to JSON:\ncourse_id: CRS-9301\ncode: PHF438\ntitle: Proactive asynchronous moderator 101\ninstructor: Karen Meadows\ncredits: 4\nterm: Spring 2023\nschedule:\n- week: 1\n topic: eight\n- week: 2\n topic: above\n- week: 3\n topic: run\n- week: 4\n topic: continue\n- week: 5\n topic: now\n- week: 6\n topic: travel\n- week: 7\n topic: religious\n- week: 8\n topic: 'yes'\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert course syllabus from YAML to 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. Transform values to match the target format specifications.\n\nOutput:\n{\n \"course_id\": \"CRS-9301\",\n \"code\": \"PHF438\",\n \"title\": \"Proactive asynchronous moderator 101\",\n \"instructor\": \"Karen Meadows\",\n \"credits\": 4,\n \"term\": \"Spring 2023\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"eight\"\n },\n {\n \"week\": 2,\n \"topic\": \"above\"\n },\n {\n \"week\": 3,\n \"topic\": \"run\"\n },\n {\n \"week\": 4,\n \"topic\": \"continue\"\n },\n {\n \"week\": 5,\n \"topic\": \"now\"\n },\n {\n \"week\": 6,\n \"topic\": \"travel\"\n },\n {\n \"week\": 7,\n \"topic\": \"religious\"\n },\n {\n \"week\": 8,\n \"topic\": \"yes\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] | {
"format": "json",
"complexity": "complex",
"schema": "course_syllabus",
"type": "conversion",
"estimated_tokens": 253
} |
[
{
"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: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-590007</contract_id>\n<parties>\n<name>Hernandez-Dunlap</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Blankenship Ltd</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-02</effective_date>\n<term_months>27</term_months>\n<value>538809</value>\n<status>active</status>\n</contract>"
}
] | {
"format": "xml",
"complexity": "complex",
"schema": "contract",
"type": "generation",
"estimated_tokens": 166
} |
[
{
"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 contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-585279,2026-01-03,\"[{\"\"name\"\": \"\"Adams Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Vasquez, Vasquez and Pierce\"\", \"\"role\"\": \"\"party_b\"\"\",pending,36,280674\r\nCTR-193575,2026-01-04,\"[{\"\"name\"\": \"\"Robinson-Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Brown, Edwards and Lindsey\"\", \"\"role\"\": \"\"part\",pending,52,385478\r\nCTR-376645,2026-01-06,\"[{\"\"name\"\": \"\"Mcdaniel and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Dominguez-Norris\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,20,188572\r\nCTR-646393,2026-01-03,\"[{\"\"name\"\": \"\"Johnson PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Haley-Taylor\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,21,892049\r\nCTR-588356,2026-01-01,\"[{\"\"name\"\": \"\"Berger-Stokes\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Davis-Lynch\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,42,508761\r\n"
}
] | {
"format": "csv",
"complexity": "complex",
"schema": "contract",
"type": "generation",
"estimated_tokens": 285
} |
[
{
"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 customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review 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:\nreview_id: REV-5782045\nproduct_id: PROD-900708\nuser_id: 1f2c540e-7c04-45b6-93eb-35946ed0869f\nrating: 3\ntitle: Set first later toward.\ncontent: 'Reveal use item forward court attention. Probably contain open president.\n\n Style sport paper concern likely involve. Manager development he box.'\ndate: '2026-01-06'\nverified_purchase: false\nhelpful_votes: 40\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 166
} |
[
{
"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 product listing."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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:\nproduct_id = \"PROD-877409\"\nname = \"Decentralized mobile framework\"\ncategory = \"electronics\"\nprice = 654.79\ncurrency = \"USD\"\nstock = 219\nis_available = true\nrating = 3.88\nreviews = 74\n\n[specs]\nweight_kg = 22.25\ndimensions = \"82x76x89cm\"\n"
}
] | {
"format": "toml",
"complexity": "complex",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 133
} |
[
{
"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 product listing."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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<product_listing>\n<product_id>PROD-716657</product_id>\n<name>Persevering explicit adapter</name>\n<category>electronics</category>\n<price>995.97</price>\n<currency>USD</currency>\n<stock>381</stock>\n<is_available>True</is_available>\n<rating>2.06</rating>\n<reviews>362</reviews>\n<specs>\n<weight_kg>11.93</weight_kg>\n<dimensions>70x78x84cm</dimensions>\n</specs>\n</product_listing>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 180
} |
[
{
"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 error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 5301ec34-2776-4f3d-83ff-180e37bb8fc4\ntimestamp: '2026-01-07T01:26:12.081325'\nlevel: CRITICAL\nservice: questionService\nmessage: Show role sea possible series.\nstack_trace:\n- at middle.py:465\n- at theory.py:71\ncontext:\n user_id: c7b82390-e073-410e-9335-0fc34a4ee877\n request_id: 58979104-b340-4c67-ae86-706bb883426d\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 158
} |
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Reformat the data below from JSON to YAML:\n{\n \"contract_id\": \"CTR-624647\",\n \"effective_date\": \"2026-01-03\",\n \"term_months\": 13,\n \"status\": \"pending\",\n \"parties\": [\n {\n \"name\": \"Graves-George\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Bradley-Beltran\",\n \"role\": \"party_b\"\n }\n ]\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert contract from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\ncontract_id: CTR-624647\neffective_date: '2026-01-03'\nterm_months: 13\nstatus: pending\nparties:\n- name: Graves-George\n role: party_a\n- name: Bradley-Beltran\n role: party_b\n"
}
] | {
"format": "yaml",
"complexity": "simple",
"schema": "contract",
"type": "conversion",
"estimated_tokens": 121
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output course syllabus as XML."
},
{
"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-2111</course_id>\n<code>AKX221</code>\n<title>Exclusive zero administration secured line 101</title>\n<instructor>Christopher Thomas</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>market</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>major</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>though</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>painting</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>participant</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>one</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>determine</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>paper</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",
"type": "generation",
"estimated_tokens": 289
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: 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 \"expenses\": 64840530,\n \"ticker\": \"GZHV\",\n \"quarter\": \"Q2 2021\",\n \"company\": \"Edwards-Mckay\"\n}"
}
] | {
"format": "json",
"complexity": "simple",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 104
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output research paper as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper 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 \"paper_id\": \"arXiv:2023.24842\",\n \"title\": \"Implemented impactful process improvement\",\n \"authors\": [\n {\n \"name\": \"Amy Patterson\",\n \"affiliation\": \"Adams, Thompson and Jackson\",\n \"email\": \"elove@example.net\"\n },\n {\n \"name\": \"Wanda Pearson\",\n \"affiliation\": \"Franklin and Sons\",\n \"email\": \"tcaldwell@example.com\"\n }\n ],\n \"abstract\": \"Quality charge your significant view evening.\\nCause send line fill throughout better change. Rich study computer sell cause.\",\n \"keywords\": [\n \"bag\",\n \"institution\",\n \"throughout\",\n \"make\",\n \"discover\"\n ],\n \"publication\": {\n \"venue\": \"Science\",\n \"year\": 2022,\n \"doi\": \"10.1974/YyDY\"\n },\n \"citations\": 154,\n \"funding_source\": \"Jensen, Wall and Green\"\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "research_paper",
"type": "generation",
"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 prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-524932,Thomas Olson,RX-5635817\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-750421,Ryan Hill,RX-9472258\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopri\",MRN-460169,Joel Wagner,RX-6176746\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\", \",MRN-432013,Shane Stewart,RX-1395858\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "prescription",
"type": "generation",
"estimated_tokens": 248
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output course syllabus as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus 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:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-4631,3,40,30,30,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"certainly\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"night\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"treatment\"\"}\",,\r\nIVL397,CRS-5250,4,40,30,30,Bethany Lee,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"physical\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"middle\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"region\"\"}, {\",Fall 2023,Realigned bottom-line forecast 101\r\nYDK186,CRS-6162,3,40,30,30,Mary Cook,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"born\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"purpose\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"dream\"\"}, {\"\"wee\",Fall 2023,Versatile national parallelism 101\r\nRMJ174,CRS-5624,3,40,30,30,Mr. Gregory English,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"author\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"explain\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"present\"\"}, {\",Spring 2022,Reactive grid-enabled core 101\r\nGQZ184,CRS-7672,4,40,30,30,Victoria Simmons,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"go\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"make\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"begin\"\"}, {\"\"week\"\": 4\",Spring 2020,Front-line static open architecture 101\r\n"
}
] | {
"format": "csv",
"complexity": "simple",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 351
} |
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output lab result as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"result_id\": \"LAB-4340614\",\n \"patient_mrn\": \"MRN-525256\",\n \"order_date\": \"2026-01-05\",\n \"panel\": \"CMP\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 99.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 160.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 89.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 194.3,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 95.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 64.1,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 171.1,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n }\n ]\n}"
}
] | {
"format": "json",
"complexity": "medium",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 295
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output customer review as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\n,\"Contain peace else theory growth notice. Week and true cut small trial.\nAddress save let anything wa\",,2026-01-01,87,,,,PROD-512212,4,,,,\r\nbooks,,USD,,,True,Intuitive 3rdgeneration benchmark,595.64,PROD-274109,1.16,279,37x18x37cm,1.41,700\r\nbooks,,USD,,,True,Triple-buffered upward-trending solution,611.47,PROD-257027,2.7,950,53x100x47cm,28.73,861\r\nbooks,,USD,,,True,Managed upward-trending capability,818.62,PROD-153007,3.31,295,61x19x87cm,31.64,983\r\nelectronics,,USD,,,True,Balanced foreground complexity,238.91,PROD-290061,1.25,679,67x13x15cm,27.08,38\r\n"
}
] | {
"format": "csv",
"complexity": "simple",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 251
} |
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate contract data in CSV format."
},
{
"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-514156,2026-01-03,\"[{\"\"name\"\": \"\"Davidson, Erickson and Perez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Coleman, Phillips and Baker\"\"\",executed,45,553865\r\nCTR-189848,2026-01-06,\"[{\"\"name\"\": \"\"Williams, Robertson and Pratt\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Townsend-Solomon\"\", \"\"role\"\": \",active,46,344678\r\nCTR-922221,2026-01-04,\"[{\"\"name\"\": \"\"Solis-Hunt\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Berry, Holt and Davis\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,15,362091\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "contract",
"type": "generation",
"estimated_tokens": 208
} |
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate clinical note data in XML format."
},
{
"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-6935433</note_id>\n<patient>\n<mrn>MRN-167675</mrn>\n<age>55</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>101/86</bp>\n<hr>109</hr>\n<temp_f>102.9</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J79</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K10</icd10>\n</assessment>\n</clinical_note>"
}
] | {
"format": "xml",
"complexity": "medium",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 199
} |
[
{
"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: Holloway, Jordan and Carroll\nticker: LIOG\nquarter: Q2 2022\nrevenue: 79169159\nexpenses: 75435600\nnet_income: 12030550\neps: 4.6\nmetrics:\n profit_margin: 13.88\n roe: 5.95\n"
}
] | {
"format": "yaml",
"complexity": "medium",
"schema": "financial_report",
"type": "generation",
"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": "Produce a YAML document for a research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.96733\ntitle: Implemented homogeneous neural-net\nauthors:\n- name: Melissa Warren\n affiliation: West Inc\n email: margarethill@example.org\n- name: Albert Walters\n affiliation: Phillips, Johnson and Keith\n email: chelsea88@example.org\nabstract: College leg little artist country. Result also pass share. Effect attack\n position speech organization long pretty.\nkeywords:\n- add\n- like\n- live\n- and\npublication:\n venue: Nature\n year: 2022\n doi: 10.9072/QlND\ncitations: 77\nfunding_source: null\n"
}
] | {
"format": "yaml",
"complexity": "complex",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 207
} |
[
{
"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 customer review."
},
{
"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,\"Million example record movie real watch catch.\nTogether life doctor size. There seek maintain face. \",,2026-01-01,2,,,,PROD-533872,5,REV-5830331,,,,,Ok successful resource my.,6451ace3-b86b-4a21-8b32-cdd194ca7aca,False\r\nbooks,,USD,,,True,Intuitive executive flexibility,329.45,PROD-143414,3.98,,930,59x64x98cm,37.45,590,,,\r\nbooks,,USD,,,True,Down-sized optimizing website,166.05,PROD-925639,3.34,,573,90x44x25cm,36.86,340,,,\r\nclothing,,USD,,,True,Function-based grid-enabled migration,637.33,PROD-229118,2.52,,379,76x34x45cm,47.01,486,,,\r\n"
}
] | {
"format": "csv",
"complexity": "medium",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 256
} |
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