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[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3637179</review_id>\n<product_id>PROD-905516</product_id>\n<user_id>cbc145e7-7f32-438c-ba90-61711bf65a15</user_id>\n<rating>1</rating>\n<title>Hand ok join you population.</title>\n<content>Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>42</helpful_votes>\n</customer_review>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert customer review from XML to 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. Transform values to match the target format specifications.\n\nOutput:\nreview_id = \"REV-3637179\"\nproduct_id = \"PROD-905516\"\nuser_id = \"cbc145e7-7f32-438c-ba90-61711bf65a15\"\nrating = 1\ntitle = \"Hand ok join you population.\"\ncontent = \"Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.\"\ndate = \"2026-01-03\"\nverified_purchase = false\nhelpful_votes = 42\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "customer_review",
"type": "conversion",
"estimated_tokens": 168
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Transform this YAML data into CSV format:\nexperiment_id: EXP-500587\ntitle: Effect of seem on put\nmethodology:\n design: cohort\n sample_size: 806\n duration_days: 332\nresults:\n- metric: safety\n baseline: 59.15\n endpoint: 80.7\n p_value: 0.0751\n- metric: efficacy\n baseline: 25.67\n endpoint: 99.48\n p_value: 0.1142\n- metric: safety\n baseline: 72.29\n endpoint: 18.69\n p_value: 0.2768\n- metric: safety\n baseline: 16.24\n endpoint: 94.98\n p_value: 0.315\nconclusion: significant\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert experiment result from YAML to 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. Transform values to match the target format specifications.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-500587,cohort,332,806,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 59.15, \"\"endpoint\"\": 80.7, \"\"p_value\"\": 0.0751}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of seem on put\r\nsignificant,EXP-413544,RCT,206,224,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 72.74, \"\"endpoint\"\": 62.17, \"\"p_value\"\": 0.3628}, {\"\"metric\"\": \"\"effica\",Effect of city on from\r\nsignificant,EXP-450693,cohort,259,260,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 11.94, \"\"endpoint\"\": 97.38, \"\"p_value\"\": 0.4345}, {\"\"metric\"\": \"\"safety\"\",\",Effect of value on force\r\nnon-significant,EXP-698621,observational,343,55,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 27.66, \"\"endpoint\"\": 27.34, \"\"p_value\"\": 0.4157}, {\"\"metric\"\": \"\"effica\",Effect of audience on subject\r\nsignificant,EXP-141123,cohort,176,683,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 75.73, \"\"endpoint\"\": 64.46, \"\"p_value\"\": 0.0322}, {\"\"metric\"\": \"\"safety\",Effect of professional on good\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "experiment_result",
"type": "conversion",
"estimated_tokens": 335
}
|
[
{
"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 CSV to YAML:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-919818,,\"[{\"\"name\"\": \"\"Riggs, Carey and Rojas\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mcdowell-Koch\"\", \"\"role\"\": \"\"party_b\"\"}\",active,18,911148\r\nCTR-152138,2026-01-03,\"[{\"\"name\"\": \"\"Harris-Clay\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Turner LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,40,677618\r\nCTR-755246,2026-01-01,\"[{\"\"name\"\": \"\"Lewis LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Aguilar Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,45,400510\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert contract from CSV 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:\nvalue: 911148\ncontract_id: CTR-919818\nparties:\n- name: Riggs, Carey and Rojas\n role: party_a\n- name: Mcdowell-Koch\n role: party_b\nstatus: active\nterm_months: 18\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "contract",
"type": "conversion",
"estimated_tokens": 119
}
|
[
{
"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<lab_result>\n<result_id>LAB-3793814</result_id>\n<patient_mrn>MRN-247204</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>188.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>197.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>193.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>197.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>109.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert lab result from XML 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-3793814\",\n \"patient_mrn\": \"MRN-247204\",\n \"order_date\": \"2026-01-03\",\n \"panel\": \"CBC\",\n \"results\": [\n {\n \"test\": \"Hemoglobin\",\n \"value\": 188.2,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 197.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 196.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 193.9,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 197.2,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 109.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "lab_result",
"type": "conversion",
"estimated_tokens": 266
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate social media post data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nResponsibility this statement area thing imagine free. Under quickly treatment ever end social milit,396,923,56,\"[\"\"#involve\"\", \"\"#fact\"\", \"\"#rest\"\"]\",instagram,POST-29576154,2026-01-07T13:51:27.160344,b3774d2a-dced-4164-bd7b-7d043d7ec920,boydkaren\r\n\"Wait civil PM letter. Method there citizen investment stuff center.\nThought east government maintain\",347,5506,165,\"[\"\"#during\"\", \"\"#piece\"\", \"\"#visit\"\"]\",instagram,POST-67986368,2026-01-07T13:51:27.162092,4804510c-f070-4cd2-9f0d-2029729aa8ee,scottmurphy\r\nWonder budget during wish seek state quickly. Another group ability certainly model hand. Plan quali,257,5617,828,\"[\"\"#want\"\", \"\"#deal\"\"]\",instagram,POST-69963067,2026-01-07T13:51:27.162412,b5e89c6c-57e4-43bf-a7f4-958b580026e5,marcus55\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 293
}
|
[
{
"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 news article."
},
{
"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-7317178,Judy Garner,\"Cover whole myself late last month authority. Make away choose difficult.\nShoulder so support like l\",Sharable 5thgeneration framework,2026-01-07T07:35:28.380949,Politics,2480,\"[\"\"cover\"\", \"\"people\"\", \"\"available\"\", \"\"above\"\", \"\"service\"\"]\",84087\r\nART-4025776,Marissa Kennedy,\"Board standard any blue gun service majority. Why join young significant event trouble.\nUs between d\",Sharable dedicated concept,2026-01-05T18:08:58.149402,Business,850,\"[\"\"summer\"\", \"\"wait\"\", \"\"very\"\"]\",86681\r\nART-6766984,Miranda Reyes,\"Then receive audience very begin plant the. At like age coach discuss modern than.\nExample all want \",Advanced zero-defect parallelism,2026-01-04T13:00:56.531845,Sports,622,\"[\"\"major\"\", \"\"mission\"\", \"\"beyond\"\"]\",55380\r\nART-1099587,Nancy Ochoa,Executive kitchen hundred box music deal development public. Perhaps after game option. A decide Rep,Total user-facing info-mediaries,2026-01-05T10:42:32.416088,Sports,4540,\"[\"\"true\"\", \"\"remain\"\", \"\"less\"\", \"\"meet\"\"]\",81698\r\nART-1183727,Stephanie Cross MD,\"Near city especially. Open eat kitchen meet act. Trial six too remain.\nEnough those this never forwa\",Focused logistical emulation,2026-01-06T11:34:26.139234,Politics,2118,\"[\"\"total\"\", \"\"myself\"\", \"\"very\"\", \"\"little\"\", \"\"check\"\"]\",83589\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "news_article",
"type": "generation",
"estimated_tokens": 414
}
|
[
{
"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-464030</contract_id>\n<parties>\n<name>Morales, Williams and Williams</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Ward-Miller</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>35</term_months>\n<value>994957</value>\n<status>active</status>\n</contract>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert contract from XML 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 \"contract_id\": \"CTR-464030\",\n \"parties\": [\n {\n \"name\": \"Morales, Williams and Williams\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Ward-Miller\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-06\",\n \"term_months\": 35,\n \"value\": 994957,\n \"status\": \"active\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "contract",
"type": "conversion",
"estimated_tokens": 152
}
|
[
{
"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\"Martinez, Patterson and Hunter\",2.32,21448775,7.89,9.32,421192,Q1 2023,66694743,PPOB\r\n\"Daniels, Humphrey and Wilson\",6.72,67513369,11.83,15.06,6655281,Q4 2023,13528417,DUFZ\r\nMelendez Ltd,5.67,54117053,11.29,23.82,4872391,Q2 2020,35275291,RMWB\r\nRoss-Hester,8.68,62810583,15.96,19.18,9661146,Q3 2023,72500076,SFJX\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 178
}
|
[
{
"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 = \"424897c8-d97d-4bfb-9c1a-7b6e63fd6096\"\ntimestamp = \"2026-01-07T13:51:27.529237\"\nlevel = \"ERROR\"\nservice = \"heartService\"\nmessage = \"How these anyone stop indeed.\"\nstack_trace = [ \"at manage.py:289\", \"at thing.py:107\", \"at guy.py:172\", \"at seat.py:479\",]\n\n[context]\nuser_id = \"082cc3eb-3997-4d99-990c-f696ca4ee534\"\nrequest_id = \"0f3326d0-3afd-48c1-9c4d-32cc8b0c5920\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 167
}
|
[
{
"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: 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<financial_report>\n<revenue>65816825</revenue>\n<ticker>IQTA</ticker>\n<expenses>77578182</expenses>\n<company>Ramos-Wallace</company>\n</financial_report>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 126
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Convert the following JSON to CSV:\n{\n \"assessment_id\": \"ASMT-422317\",\n \"student_id\": \"STU-280699\",\n \"course_id\": \"CRS-7308\",\n \"type\": \"exam\",\n \"date\": \"2026-01-01\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 3,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 3,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 7,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 75,\n \"percentage\": 83.59,\n \"grade\": \"B\"\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert student assessment from JSON to 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. Transform values to match the target format specifications.\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-422317,,CRS-7308,,2026-01-01,B,,,,,83.59,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"po\",STU-280699,,,75,exam\r\n,AGN486,CRS-1989,4,,,40,30,30,Jeremy Diaz,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"agency\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"myself\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"either\"\"}, {\"\"w\",,,Spring 2024,Front-line optimizing model 101,,\r\n,HDJ345,CRS-1730,3,,,40,30,30,Calvin Hernandez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"kind\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"international\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"thus\"\"}, \",,,Fall 2021,Streamlined impactful system engine 101,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "student_assessment",
"type": "conversion",
"estimated_tokens": 278
}
|
[
{
"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 course syllabus."
},
{
"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-2063\ncode: FAH301\ntitle: Ameliorated zero administration productivity 101\ninstructor: Aaron Bailey\ncredits: 4\nterm: Fall 2023\nschedule:\n- week: 1\n topic: health\n- week: 2\n topic: buy\n- week: 3\n topic: conference\n- week: 4\n topic: late\n- week: 5\n topic: fear\n- week: 6\n topic: ability\n- week: 7\n topic: control\n- week: 8\n topic: choose\n- week: 9\n topic: measure\n- week: 10\n topic: social\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 193
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate research paper data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.69453\"\ntitle = \"Assimilated needs-based portal\"\nabstract = \"Economy instead thank kitchen. For pattern he purpose strong goal challenge.\"\nkeywords = [ \"power\", \"main\", \"light\", \"form\", \"system\",]\ncitations = 115\n[[authors]]\nname = \"Evan Reed\"\naffiliation = \"Orr, Wheeler and Johnson\"\nemail = \"cheryl05@example.net\"\n\n[[authors]]\nname = \"Amanda Mcmahon\"\naffiliation = \"Maxwell-Price\"\nemail = \"mbowen@example.org\"\n\n[[authors]]\nname = \"Angel Vasquez\"\naffiliation = \"Melendez, Osborne and Harris\"\nemail = \"timothysutton@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.9550/gbOm\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 227
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Convert the following CSV to TOML:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",,,RX-5523111\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-117171,Karen Reed,RX-5166396\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-501151,Joseph Johnson,RX-7279883\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-514305,Mrs. Sarah Graham,RX-6108923\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\",MRN-487883,Joshua Larson,RX-4171961\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert prescription from CSV to 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. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-5523111\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "prescription",
"type": "conversion",
"estimated_tokens": 108
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output clinical note as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"note_id\": \"CN-2804449\",\n \"patient\": {\n \"mrn\": \"MRN-394213\",\n \"age\": 73,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-04\",\n \"chief_complaint\": \"fever\",\n \"vitals\": {\n \"bp\": \"162/64\",\n \"hr\": 70,\n \"temp_f\": 102.7\n },\n \"assessment\": [\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"K44\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 161
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review 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,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,Today offer none role certain reach. Second Mr official enjoy movement turn city. Name employee earl,,2026-01-01,43,,,,PROD-108034,4,REV-9546377,,,,,Appear speak sure list.,d01ac4e1-ccd9-4273-9fe0-9ca6afc6af77,True\r\nbooks,,USD,,,True,Re-contextualized executive implementation,266.1,PROD-482189,1.07,,21,24x60x94cm,41.45,868,,,\r\nclothing,,USD,,,True,Proactive full-range framework,80.19,PROD-142533,3.04,,543,22x50x27cm,27.75,190,,,\r\nelectronics,,USD,,,True,Progressive disintermediate pricing structure,582.78,PROD-819363,2.25,,593,86x67x66cm,2.76,328,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 261
}
|
[
{
"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-4827299\npatient_mrn: MRN-871984\norder_date: '2026-01-06'\npanel: Lipid\nresults:\n- test: WBC\n value: 156.4\n unit: g/dL\n flag: high\n- test: WBC\n value: 186.0\n unit: mg/dL\n flag: low\n- test: WBC\n value: 134.8\n unit: mg/dL\n flag: normal\n- test: WBC\n value: 64.1\n unit: mg/dL\n flag: normal\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 154
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Reformat the data below from JSON to CSV:\n{\n \"course_id\": \"CRS-3440\",\n \"code\": \"KLD251\",\n \"title\": \"Reverse-engineered foreground infrastructure 101\",\n \"instructor\": \"Courtney Escobar\",\n \"credits\": 4,\n \"term\": \"Spring 2022\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"despite\"\n },\n {\n \"week\": 2,\n \"topic\": \"choose\"\n },\n {\n \"week\": 3,\n \"topic\": \"action\"\n },\n {\n \"week\": 4,\n \"topic\": \"couple\"\n },\n {\n \"week\": 5,\n \"topic\": \"big\"\n },\n {\n \"week\": 6,\n \"topic\": \"trade\"\n },\n {\n \"week\": 7,\n \"topic\": \"measure\"\n },\n {\n \"week\": 8,\n \"topic\": \"music\"\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 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. Transform values to match the target format specifications.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nKLD251,CRS-3440,4,40,30,30,Courtney Escobar,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"despite\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"choose\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"action\"\"}, {\"\"\",Spring 2022,Reverse-engineered foreground infrastructure 101\r\nOND359,CRS-1832,4,40,30,30,Hector Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"general\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bag\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"significant\"\"}, \",Fall 2023,Pre-emptive multi-state alliance 101\r\nAXT418,CRS-6280,3,40,30,30,Robert Hall,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"check\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"south\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"him\"\"}, {\"\"week\"\":\",Fall 2021,Focused mission-critical success 101\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "course_syllabus",
"type": "conversion",
"estimated_tokens": 266
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-66277640</post_id>\n<platform>instagram</platform>\n<user_id>7e83a029-16e2-49ad-a855-906c882abe46</user_id>\n<username>reynoldstaylor</username>\n<content>Thousand book animal myself wear beautiful. Room rock couple reality her.\nJoin town travel agency value improve way. Heavy late science mind develop consider ability.</content>\n<timestamp>2026-01-07T13:51:26.676406</timestamp>\n<hashtags>#case</hashtags>\n<hashtags>#along</hashtags>\n<hashtags>#only</hashtags>\n<hashtags>#have</hashtags>\n<engagement>\n<likes>9942</likes>\n<shares>119</shares>\n<comments>368</comments>\n</engagement>\n</social_media_post>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert social media post from XML to 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. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Thousand book animal myself wear beautiful. Room rock couple reality her.\nJoin town travel agency va\",368,9942,119,\"[\"\"#case\"\", \"\"#along\"\", \"\"#only\"\", \"\"#have\"\"]\",instagram,POST-66277640,2026-01-07T13:51:26.676406,7e83a029-16e2-49ad-a855-906c882abe46,reynoldstaylor\r\n\"Decade car we. Itself friend nearly institution treatment manager me manage.\nEver join beyond memory\",145,5531,910,\"[\"\"#bar\"\", \"\"#cut\"\"]\",instagram,POST-29156504,2026-01-07T13:51:26.679633,9e44d498-dfe3-4171-a438-6baec2ea2fe6,kelly61\r\n\"Chance design future apply space stand. Piece get up budget sure environment paper.\nHear manager art\",309,63,974,\"[\"\"#represent\"\", \"\"#concern\"\"]\",twitter,POST-89836963,2026-01-07T13:51:26.679972,c3a6156e-fecb-48d6-bb23-0aac8213dada,sellison\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "social_media_post",
"type": "conversion",
"estimated_tokens": 295
}
|
[
{
"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 \"post_id\": \"POST-46905875\",\n \"platform\": \"instagram\",\n \"user_id\": \"2079b341-d50b-4860-ba15-aa28bbe0f5b3\",\n \"username\": \"xhernandez\",\n \"content\": \"Serious degree upon late.\\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.\",\n \"timestamp\": \"2026-01-07T13:51:26.735117\",\n \"hashtags\": [\n \"#easy\",\n \"#miss\"\n ],\n \"engagement\": {\n \"likes\": 6808,\n \"shares\": 9,\n \"comments\": 24\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert social media post 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<social_media_post>\n<post_id>POST-46905875</post_id>\n<platform>instagram</platform>\n<user_id>2079b341-d50b-4860-ba15-aa28bbe0f5b3</user_id>\n<username>xhernandez</username>\n<content>Serious degree upon late.\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.</content>\n<timestamp>2026-01-07T13:51:26.735117</timestamp>\n<hashtags>#easy</hashtags>\n<hashtags>#miss</hashtags>\n<engagement>\n<likes>6808</likes>\n<shares>9</shares>\n<comments>24</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "social_media_post",
"type": "conversion",
"estimated_tokens": 232
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"ff91c212-6cce-4ac2-978d-0740381882de\"\ntimestamp = \"2026-01-07T13:51:27.679071\"\nlevel = \"WARNING\"\nservice = \"drawService\"\nmessage = \"Support red list product forget cut speak.\"\nstack_trace = [ \"at girl.py:186\", \"at hold.py:186\",]\n\n[context]\nuser_id = \"473e683b-291e-461f-b848-d224b7dcbd8b\"\nrequest_id = \"454a35ad-23ee-42a8-9d57-dbf5cedbef74\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 161
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output product listing as CSV."
},
{
"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,Universal eco-centric approach,208.68,PROD-125540,4.53,925,45x91x83cm,20.35,879\r\nbooks,USD,True,Multi-channeled zero-defect data-warehouse,217.23,PROD-945438,2.92,542,27x49x90cm,32.98,221\r\nelectronics,USD,True,Quality-focused cohesive budgetary management,918.44,PROD-425720,4.68,599,49x93x50cm,34.53,435\r\nclothing,USD,True,Enhanced uniform paradigm,272.01,PROD-700627,3.32,377,45x52x53cm,13.1,49\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 207
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Transform this CSV data into TOML format:\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,Team hold course throw center open enjoy old. Huge candidate still act decade civil. Safe middle ind,,2026-01-03,98,,,,PROD-754494,5,REV-4235678,,,,,Help program law water necessary return clearly.,29638f7d-f697-4ae7-8fde-a1a70bcd6476,False\r\nclothing,,USD,,,True,Right-sized intermediate implementation,494.29,PROD-418663,1.88,,553,33x38x27cm,9.4,15,,,\r\nbooks,,USD,,,True,Multi-layered analyzing instruction set,655.19,PROD-167668,1.85,,862,71x98x79cm,28.46,204,,,\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert customer review from CSV to 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. Transform values to match the target format specifications.\n\nOutput:\nreview_id = \"REV-4235678\"\nproduct_id = \"PROD-754494\"\nuser_id = \"29638f7d-f697-4ae7-8fde-a1a70bcd6476\"\nrating = 5\ntitle = \"Help program law water necessary return clearly.\"\ncontent = \"Team hold course throw center open enjoy old. Huge candidate still act decade civil. Safe middle indeed.\"\ndate = \"2026-01-03\"\nverified_purchase = false\nhelpful_votes = 98\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "customer_review",
"type": "conversion",
"estimated_tokens": 164
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output product listing as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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<product_listing>\n<product_id>PROD-469887</product_id>\n<is_available>True</is_available>\n<reviews>612</reviews>\n<name>Networked executive capability</name>\n<currency>USD</currency>\n</product_listing>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 138
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate lab result data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result 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 \"patient_mrn\": \"MRN-119365\",\n \"order_date\": \"2026-01-05\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 134.6,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 69.4,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 85.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 69.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 79.1,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 226
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: 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:\nperiod: February 2020\ntotal_revenue: 2007174\nunits_sold: 24558\nchannels:\n- name: online\n revenue: 235807\n growth: 46.03\n- name: wholesale\n revenue: 4419318\n growth: 24.35\ntop_products:\n- sku: SKU-6554\n sales: 258652\n- sku: SKU-8652\n sales: 200091\n- sku: SKU-9581\n sales: 65110\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 148
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post 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:\npost_id: POST-32645861\nplatform: facebook\nuser_id: b5521d05-1410-43ee-b828-2c240f95461c\nusername: yanderson\ncontent: Example suggest around pattern small everybody. Rate watch blue walk test\n camera. Partner decide leave really.\ntimestamp: '2026-01-07T13:51:27.526455'\nhashtags:\n- '#door'\n- '#relate'\nengagement:\n likes: 5828\n shares: 957\n comments: 117\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 168
}
|
[
{
"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: 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:\ntax = 39.55\ntotal = 1865.58\ncustomer_id = \"bf96f80b-072c-4f04-82b0-c235c01681a8\"\n[[items]]\nsku = \"SKU-71565\"\nqty = 1\nprice = 387.38\n\n[[items]]\nsku = \"SKU-23891\"\nqty = 1\nprice = 432.74\n\n[[items]]\nsku = \"SKU-77840\"\nqty = 1\nprice = 463.12\n\n[[items]]\nsku = \"SKU-27496\"\nqty = 3\nprice = 295.3\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "transaction_record",
"type": "generation",
"estimated_tokens": 148
}
|
[
{
"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 \"customer_id\": \"5642be10-2f96-4bf3-93bb-ea73b498db7e\",\n \"timestamp\": \"2026-01-07T13:51:27.704310\",\n \"total\": 2159.3,\n \"tax\": 150.65,\n \"items\": [\n {\n \"sku\": \"SKU-21107\",\n \"qty\": 2,\n \"price\": 436.86\n },\n {\n \"sku\": \"SKU-34269\",\n \"qty\": 3,\n \"price\": 260.71\n },\n {\n \"sku\": \"SKU-81249\",\n \"qty\": 3,\n \"price\": 416.92\n },\n {\n \"sku\": \"SKU-97216\",\n \"qty\": 3,\n \"price\": 177.96\n }\n ]\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert transaction record from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<customer_id>5642be10-2f96-4bf3-93bb-ea73b498db7e</customer_id>\n<timestamp>2026-01-07T13:51:27.704310</timestamp>\n<total>2159.3</total>\n<tax>150.65</tax>\n<items>\n<sku>SKU-21107</sku>\n<qty>2</qty>\n<price>436.86</price>\n</items>\n<items>\n<sku>SKU-34269</sku>\n<qty>3</qty>\n<price>260.71</price>\n</items>\n<items>\n<sku>SKU-81249</sku>\n<qty>3</qty>\n<price>416.92</price>\n</items>\n<items>\n<sku>SKU-97216</sku>\n<qty>3</qty>\n<price>177.96</price>\n</items>\n</transaction_record>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "transaction_record",
"type": "conversion",
"estimated_tokens": 212
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1112533, \"\"growth\"\": 2.85}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3150615, \"\"\",,,,,October 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-7795\"\", \"\"sales\"\": 492045}, {\"\"sku\"\": \"\"SKU-5231\"\", \"\"sales\"\": 195976}, {\"\"sku\"\": \"\"SKU-5539\"\", \"\"sa\",4790876,72609\r\nMessage military play director. Game finish set indicate upon computer happy. Meeting anything commo,\"[{\"\"name\"\": \"\"Rebecca Martinez\"\", \"\"affiliation\"\": \"\"Hinton-Sullivan\"\", \"\"email\"\": \"\"jason64@example.net\"\"}, {\"\"n\",,241,\"Lowe, Wheeler and Gilbert\",\"[\"\"must\"\", \"\"attorney\"\", \"\"tree\"\", \"\"away\"\", \"\"line\"\"]\",arXiv:2020.61573,,10.6487/Wsrp,Science,2024,Monitored mission-critical process improvement,,,\r\nFund choice moment as respond land television. Chair continue thank bank consumer group.,\"[{\"\"name\"\": \"\"Peter Smith\"\", \"\"affiliation\"\": \"\"Fitzgerald Inc\"\", \"\"email\"\": \"\"emilybuck@example.org\"\"}, {\"\"name\"\"\",,76,Wolfe-Durham,\"[\"\"enough\"\", \"\"call\"\", \"\"teacher\"\"]\",arXiv:2024.36099,,10.1108/ctTp,Nature,2021,De-engineered didactic secured line,,,\r\nProject star step after understand air. Campaign project yeah mother.,\"[{\"\"name\"\": \"\"Janice Anderson\"\", \"\"affiliation\"\": \"\"Burke, Perry and Reynolds\"\", \"\"email\"\": \"\"sandra31@example.\",,154,\"Howard, Ellis and Castaneda\",\"[\"\"truth\"\", \"\"level\"\", \"\"heart\"\"]\",arXiv:2023.87671,,10.4646/neEK,Cell,2024,Reverse-engineered reciprocal time-frame,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 461
}
|
[
{
"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 \"date\": \"2026-01-06\",\n \"patient_mrn\": \"MRN-259808\",\n \"rx_id\": \"RX-8539167\",\n \"prescriber\": \"Joseph Griffin\",\n \"medications\": [\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"10mg\",\n \"frequency\": \"daily\",\n \"quantity\": 90\n },\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"10mg\",\n \"frequency\": \"TID\",\n \"quantity\": 30\n },\n {\n \"name\": \"Metformin\",\n \"dosage\": \"5mg\",\n \"frequency\": \"BID\",\n \"quantity\": 30\n }\n ]\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert prescription from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<date>2026-01-06</date>\n<patient_mrn>MRN-259808</patient_mrn>\n<rx_id>RX-8539167</rx_id>\n<prescriber>Joseph Griffin</prescriber>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "prescription",
"type": "conversion",
"estimated_tokens": 223
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription 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:\nrx_id = \"RX-9346457\"\npatient_mrn = \"MRN-685856\"\nprescriber = \"Thomas Archer\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "prescription",
"type": "generation",
"estimated_tokens": 141
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate clinical note data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,,,CN-3759937,30,M,MRN-802088,119/74,67,100.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J95\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I43\"\"}, {\"\"problem\"\": \"\"hype\",fever,2026-01-03,CN-7361771,74,F,MRN-264539,129/66,86,103.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J10\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K99\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-02,CN-3812265,69,M,MRN-504012,109/82,60,97.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I74\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I56\"\"}]\",headache,2026-01-02,CN-7745905,60,M,MRN-317880,125/104,61,102.7\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 253
}
|
[
{
"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 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,\"Recent cause family writer. Old less control he woman. Coach quickly will.\nRelationship same against\",,2026-01-06,37,,,,PROD-300785,5,REV-1274071,,,,,Follow large high gas clear drug pretty else.,c183a72e-4d6f-40ac-92b0-2d1073039571,True\r\nelectronics,,USD,,,True,Extended analyzing approach,503.58,PROD-420019,2.78,,526,15x70x77cm,3.76,348,,,\r\nclothing,,USD,,,True,Profit-focused discrete hub,410.14,PROD-373450,2.47,,739,47x90x88cm,9.42,750,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 233
}
|
[
{
"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 sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: March 2024\ntotal_revenue: 2433324\nunits_sold: 8686\nchannels:\n- name: online\n revenue: 3952303\n growth: 2.75\n- name: retail\n revenue: 3970412\n growth: 12.57\ntop_products:\n- sku: SKU-2514\n sales: 485558\n- sku: SKU-5241\n sales: 142515\n- sku: SKU-4600\n sales: 420300\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 147
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Convert the following TOML to CSV:\nencounter_date = \"2026-01-06\"\nnote_id = \"CN-3244099\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I24\"\n\n[patient]\nmrn = \"MRN-470382\"\nage = 61\ngender = \"F\"\n\n[vitals]\nbp = \"158/77\"\nhr = 112\ntemp_f = 99.5\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert clinical note from TOML to 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. Transform values to match the target format specifications.\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\"\": \"\"I24\"\"}]\",,2026-01-06,CN-3244099,61,F,MRN-470382,158/77,112,99.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J96\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I27\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-03,CN-6346853,54,F,MRN-619925,130/81,93,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K78\"\"}]\",headache,2026-01-03,CN-5182973,24,M,MRN-706108,104/95,95,101.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J68\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I12\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-06,CN-5391034,41,F,MRN-882784,102/64,85,99.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K57\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K84\"\"}, {\"\"problem\"\": \"\"diab\",headache,2026-01-05,CN-9245534,31,F,MRN-763226,109/61,112,99.0\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "clinical_note",
"type": "conversion",
"estimated_tokens": 306
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-551064,Eric Jackson,RX-3305496\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvasta\",MRN-979601,Benjamin Lee,RX-2433711\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-209290,Jesus Johnson,RX-5553915\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-161008,David Benson,RX-5302143\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-658873,Claudia Williams,RX-4368294\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "prescription",
"type": "generation",
"estimated_tokens": 293
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.57642</paper_id>\n<title>Organized clear-thinking projection</title>\n<authors>\n<name>Thomas Harrison</name>\n<affiliation>Benjamin, Peterson and James</affiliation>\n<email>martinjoseph@example.com</email>\n</authors>\n<authors>\n<name>Samantha Phillips</name>\n<affiliation>Carpenter Ltd</affiliation>\n<email>hawkinssarah@example.com</email>\n</authors>\n<abstract>Leg third those over. Almost state money hear condition little.\nManager minute writer manager. Walk hand situation similar media back fill huge.</abstract>\n<keywords>decade</keywords>\n<keywords>kitchen</keywords>\n<keywords>discover</keywords>\n<keywords>wide</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.5371/HWME</doi>\n</publication>\n<citations>306</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:2023.57642\",\n \"title\": \"Organized clear-thinking projection\",\n \"authors\": [\n {\n \"name\": \"Thomas Harrison\",\n \"affiliation\": \"Benjamin, Peterson and James\",\n \"email\": \"martinjoseph@example.com\"\n },\n {\n \"name\": \"Samantha Phillips\",\n \"affiliation\": \"Carpenter Ltd\",\n \"email\": \"hawkinssarah@example.com\"\n }\n ],\n \"abstract\": \"Leg third those over. Almost state money hear condition little.\\nManager minute writer manager. Walk hand situation similar media back fill huge.\",\n \"keywords\": [\n \"decade\",\n \"kitchen\",\n \"discover\",\n \"wide\"\n ],\n \"publication\": {\n \"venue\": \"Cell\",\n \"year\": 2023,\n \"doi\": \"10.5371/HWME\"\n },\n \"citations\": 306,\n \"funding_source\": null\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "research_paper",
"type": "conversion",
"estimated_tokens": 266
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate clinical note data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J94\"\"}]\",headache,2026-01-04,CN-3766387,48,F,MRN-378219,145/101,106,101.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J58\"\"}]\",headache,2026-01-01,CN-4336964,19,F,MRN-926074,105/105,69,101.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J13\"\"}]\",headache,2026-01-03,CN-6888054,25,M,MRN-148741,157/77,60,102.3\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 196
}
|
[
{
"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<course_syllabus>\n<instructor>Rachel Moreno DVM</instructor>\n<credits>4</credits>\n<course_id>CRS-8305</course_id>\n<title>Open-architected even-keeled support 101</title>\n<term>Spring 2023</term>\n</course_syllabus>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert course syllabus from XML 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 \"instructor\": \"Rachel Moreno DVM\",\n \"credits\": 4,\n \"course_id\": \"CRS-8305\",\n \"title\": \"Open-architected even-keeled support 101\",\n \"term\": \"Spring 2023\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "course_syllabus",
"type": "conversion",
"estimated_tokens": 120
}
|
[
{
"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<sales_analytics>\n<period>June 2020</period>\n<total_revenue>2603625</total_revenue>\n<units_sold>51574</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1926384</revenue>\n<growth>34.29</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1062444</revenue>\n<growth>-1.99</growth>\n</channels>\n<top_products>\n<sku>SKU-3818</sku>\n<sales>48786</sales>\n</top_products>\n<top_products>\n<sku>SKU-7605</sku>\n<sales>408187</sales>\n</top_products>\n<top_products>\n<sku>SKU-6728</sku>\n<sales>223732</sales>\n</top_products>\n</sales_analytics>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert sales analytics 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 \"period\": \"June 2020\",\n \"total_revenue\": 2603625,\n \"units_sold\": 51574,\n \"channels\": [\n {\n \"name\": \"retail\",\n \"revenue\": 1926384,\n \"growth\": 34.29\n },\n {\n \"name\": \"online\",\n \"revenue\": 1062444,\n \"growth\": -1.99\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-3818\",\n \"sales\": 48786\n },\n {\n \"sku\": \"SKU-7605\",\n \"sales\": 408187\n },\n {\n \"sku\": \"SKU-6728\",\n \"sales\": 223732\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "sales_analytics",
"type": "conversion",
"estimated_tokens": 196
}
|
[
{
"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 api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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:\nopenapi: 3.0.0\ninfo:\n title: Secured well-modulated policy API\n version: 1.0.0\npaths:\n /article:\n get:\n summary: During certainly full.\n parameters:\n - name: param0\n in: query\n type: string\n - name: param1\n in: query\n type: string\n - name: param2\n in: query\n type: string\n responses:\n '200':\n description: Success\n '400':\n description: Bad Request\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 193
}
|
[
{
"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: e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\ntimestamp: '2026-01-07T13:51:25.462522'\nlevel: ERROR\nservice: winService\nmessage: Western energy project push building.\nstack_trace:\n- at could.py:42\n- at seem.py:198\ncontext:\n user_id: 7197800d-0acd-4eee-b9ab-24b5158dfa0a\n request_id: 00c4c00d-dc22-4013-8495-1ed2381fc937\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 157
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate 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-86898750\",\n \"platform\": \"instagram\",\n \"user_id\": \"a47ec401-ca4e-44b5-afc7-6c2b372f589e\",\n \"username\": \"dylan00\",\n \"content\": \"Might north politics.\\nMoment bad without change physical store call. Enjoy question state student political boy tonight.\\nSoon ten last small develop left enter. Health lead bank and air capital save.\",\n \"timestamp\": \"2026-01-07T13:51:25.591017\",\n \"hashtags\": [\n \"#kid\",\n \"#off\",\n \"#school\",\n \"#fund\"\n ],\n \"engagement\": {\n \"likes\": 9146,\n \"shares\": 205,\n \"comments\": 18\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 216
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output api specification as JSON."
},
{
"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\": \"Stand-alone dedicated complexity API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/hear\": {\n \"get\": {\n \"summary\": \"Chance cultural sort including high.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param2\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 273
}
|
[
{
"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: 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:2021.48279\",\n \"title\": \"Operative systemic definition\",\n \"authors\": [\n {\n \"name\": \"Patricia Owens\",\n \"affiliation\": \"Pearson, Quinn and Owens\",\n \"email\": \"christopher41@example.net\"\n },\n {\n \"name\": \"Wayne Boyd\",\n \"affiliation\": \"Delacruz-Weaver\",\n \"email\": \"powens@example.net\"\n },\n {\n \"name\": \"Christopher Castillo\",\n \"affiliation\": \"Lawrence-Caldwell\",\n \"email\": \"amandacarey@example.com\"\n }\n ],\n \"abstract\": \"Tv wear teacher under doctor. Eight mention month argue amount how voice.\",\n \"keywords\": [\n \"month\",\n \"southern\",\n \"administration\"\n ],\n \"publication\": {\n \"venue\": \"Cell\",\n \"year\": 2021,\n \"doi\": \"10.1648/XIrv\"\n },\n \"citations\": 167,\n \"funding_source\": null\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 273
}
|
[
{
"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<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Seamless disintermediate flexibility API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</significant>\n<get>\n<summary>Box project skin day catch.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//significant>\n</paths>\n</api_specification>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert api specification 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 \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Seamless disintermediate flexibility API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/significant\": {\n \"get\": {\n \"summary\": \"Box project skin day catch.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "api_specification",
"type": "conversion",
"estimated_tokens": 219
}
|
[
{
"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 financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nTucker and Sons,3.52,61737533,24.27,16.15,12235621,Q4 2024,70279854,BPQE\r\n\"Walsh, Carrillo and Johnston\",8.79,71388900,19.17,22.29,9923154,Q1 2021,3137025,CMIX\r\n\"Miller, Garcia and Moreno\",6.86,41927303,18.81,17.0,356604,Q4 2020,37969724,EPHR\r\nNewman LLC,7.52,31881083,15.66,14.73,12347450,Q2 2022,48361434,VPAY\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 178
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Transform this JSON data into XML format:\n{\n \"experiment_id\": \"EXP-574681\",\n \"title\": \"Effect of anyone on society\",\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 560,\n \"duration_days\": 320\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 50.77,\n \"endpoint\": 70.83,\n \"p_value\": 0.3046\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 96.52,\n \"endpoint\": 82.25,\n \"p_value\": 0.0326\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 43.38,\n \"endpoint\": 72.88,\n \"p_value\": 0.2787\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 17.71,\n \"endpoint\": 95.37,\n \"p_value\": 0.4542\n }\n ],\n \"conclusion\": \"non-significant\"\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert experiment result 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<experiment_result>\n<experiment_id>EXP-574681</experiment_id>\n<title>Effect of anyone on society</title>\n<methodology>\n<design>cohort</design>\n<sample_size>560</sample_size>\n<duration_days>320</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>50.77</baseline>\n<endpoint>70.83</endpoint>\n<p_value>0.3046</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>96.52</baseline>\n<endpoint>82.25</endpoint>\n<p_value>0.0326</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.38</baseline>\n<endpoint>72.88</endpoint>\n<p_value>0.2787</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>17.71</baseline>\n<endpoint>95.37</endpoint>\n<p_value>0.4542</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "experiment_result",
"type": "conversion",
"estimated_tokens": 286
}
|
[
{
"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-86945311\nplatform: facebook\nuser_id: b9da037c-f6cd-4ced-8c95-ca7562cf6118\nusername: martinsteven\ncontent: Forget late prevent year cold able arrive. Few possible himself sing community.\n Activity campaign sure south. Chance on none line best magazine education.\ntimestamp: '2026-01-07T13:51:26.810240'\nhashtags:\n- '#drop'\n- '#consider'\n- '#nature'\n- '#all'\nengagement:\n likes: 3344\n shares: 900\n comments: 482\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 185
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output lab result as YAML."
},
{
"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-3793814\npatient_mrn: MRN-247204\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Hemoglobin\n value: 188.2\n unit: g/dL\n flag: low\n- test: WBC\n value: 197.7\n unit: mg/dL\n flag: high\n- test: Glucose\n value: 196.4\n unit: mg/dL\n flag: high\n- test: Glucose\n value: 193.9\n unit: g/dL\n flag: high\n- test: Glucose\n value: 197.2\n unit: g/dL\n flag: low\n- test: Hemoglobin\n value: 109.5\n unit: mg/dL\n flag: normal\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 186
}
|
[
{
"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<prescription>\n<rx_id>RX-9001624</rx_id>\n<patient_mrn>MRN-695608</patient_mrn>\n<prescriber>Stephen Davis</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert prescription 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 \"rx_id\": \"RX-9001624\",\n \"patient_mrn\": \"MRN-695608\",\n \"prescriber\": \"Stephen Davis\",\n \"date\": \"2026-01-05\",\n \"medications\": [\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"20mg\",\n \"frequency\": \"daily\",\n \"quantity\": 90\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "prescription",
"type": "conversion",
"estimated_tokens": 141
}
|
[
{
"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<product_listing>\n<product_id>PROD-308726</product_id>\n<name>Cross-platform client-server attitude</name>\n<category>electronics</category>\n<price>875.12</price>\n<currency>USD</currency>\n<stock>161</stock>\n<is_available>True</is_available>\n<rating>1.18</rating>\n<reviews>705</reviews>\n<specs>\n<weight_kg>37.34</weight_kg>\n<dimensions>78x81x41cm</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-308726\",\n \"name\": \"Cross-platform client-server attitude\",\n \"category\": \"electronics\",\n \"price\": 875.12,\n \"currency\": \"USD\",\n \"stock\": 161,\n \"is_available\": true,\n \"rating\": 1.18,\n \"reviews\": 705,\n \"specs\": {\n \"weight_kg\": 37.34,\n \"dimensions\": \"78x81x41cm\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "product_listing",
"type": "conversion",
"estimated_tokens": 154
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate lab result data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn: MRN-119365\norder_date: '2026-01-05'\nresults:\n- test: Glucose\n value: 134.6\n unit: g/dL\n flag: high\n- test: Hemoglobin\n value: 69.4\n unit: g/dL\n flag: low\n- test: Glucose\n value: 85.6\n unit: mg/dL\n flag: high\n- test: WBC\n value: 69.6\n unit: mg/dL\n flag: low\n- test: Hemoglobin\n value: 79.1\n unit: g/dL\n flag: high\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 163
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 4865933, \"\"growth\"\": 41.22}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4636446, \",,,,,February 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-3361\"\", \"\"sales\"\": 360256}, {\"\"sku\"\": \"\"SKU-1576\"\", \"\"sales\"\": 355717}, {\"\"sku\"\": \"\"SKU-8891\"\", \"\"sa\",5010605,4486\r\nCongress understand concern table. Record ten suggest toward tough prevent. Because cup point piece.,\"[{\"\"name\"\": \"\"Denise Cox\"\", \"\"affiliation\"\": \"\"Swanson Ltd\"\", \"\"email\"\": \"\"kaitlyn05@example.net\"\"}, {\"\"name\"\": \"\"A\",,472,None,\"[\"\"adult\"\", \"\"another\"\", \"\"dream\"\", \"\"night\"\"]\",arXiv:2022.46319,,10.5337/ymxz,Cell,2021,Reverse-engineered local data-warehouse,,,\r\n\"Western require save Mrs full. Ahead arrive need. Case up discover card wall.\nHotel market research \",\"[{\"\"name\"\": \"\"Scott Byrd\"\", \"\"affiliation\"\": \"\"Franco, Smith and Santos\"\", \"\"email\"\": \"\"hernandezerica@example.\",,156,None,\"[\"\"more\"\", \"\"day\"\", \"\"cup\"\", \"\"beat\"\"]\",arXiv:2023.99149,,10.4522/qWHe,Cell,2023,Multi-lateral mission-critical hardware,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 367
}
|
[
{
"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<news_article>\n<article_id>ART-3366717</article_id>\n<headline>Integrated bi-directional complexity</headline>\n<author>Linda Clark</author>\n<published>2026-01-07T13:19:20.433040</published>\n<section>Tech</section>\n<content>Anything music blood how public to. Even student idea piece if. Whom phone rich long.\nLook memory help find reduce. Structure most tough realize ground.\nAround fear reduce ago. Thus moment letter evening stuff three.\nHer themselves campaign cup four catch as. Part turn leg.</content>\n<tags>necessary</tags>\n<tags>listen</tags>\n<tags>employee</tags>\n<tags>here</tags>\n<views>75939</views>\n<shares>1143</shares>\n</news_article>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert news article from XML 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 \"article_id\": \"ART-3366717\",\n \"headline\": \"Integrated bi-directional complexity\",\n \"author\": \"Linda Clark\",\n \"published\": \"2026-01-07T13:19:20.433040\",\n \"section\": \"Tech\",\n \"content\": \"Anything music blood how public to. Even student idea piece if. Whom phone rich long.\\nLook memory help find reduce. Structure most tough realize ground.\\nAround fear reduce ago. Thus moment letter evening stuff three.\\nHer themselves campaign cup four catch as. Part turn leg.\",\n \"tags\": [\n \"necessary\",\n \"listen\",\n \"employee\",\n \"here\"\n ],\n \"views\": 75939,\n \"shares\": 1143\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "news_article",
"type": "conversion",
"estimated_tokens": 225
}
|
[
{
"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 prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmedications:\n- name: Atorvastatin\n dosage: 10mg\n frequency: BID\n quantity: 60\nrx_id: RX-5523111\ndate: '2026-01-01'\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "prescription",
"type": "generation",
"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": "Reformat the data below from JSON to XML:\n{\n \"author\": \"Jenna Bryant\",\n \"tags\": [\n \"most\",\n \"off\",\n \"shoulder\"\n ],\n \"headline\": \"Secured composite leverage\",\n \"published\": \"2026-01-04T22:19:16.750289\"\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert news article from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<author>Jenna Bryant</author>\n<tags>most</tags>\n<tags>off</tags>\n<tags>shoulder</tags>\n<headline>Secured composite leverage</headline>\n<published>2026-01-04T22:19:16.750289</published>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "news_article",
"type": "conversion",
"estimated_tokens": 142
}
|
[
{
"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: 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:\nnet_income: 4233102\nmetrics:\n profit_margin: 14.29\n roe: 18.28\ncompany: Blackwell, Simpson and Pace\neps: 0.79\nexpenses: 41343491\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 112
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output news article as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9801838</article_id>\n<headline>Multi-lateral didactic encryption</headline>\n<author>Jeffrey Gordon</author>\n<published>2026-01-04T05:36:27.140251</published>\n<section>Business</section>\n<content>Partner energy whose simply half because long. Pattern include thousand care four against.\nScene center certainly letter already rate among. Do amount account court term same.\nStep usually ground onto study myself.</content>\n<tags>word</tags>\n<tags>public</tags>\n<tags>near</tags>\n<views>26731</views>\n<shares>4423</shares>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "news_article",
"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": "Generate product listing data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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:\nproduct_id: PROD-986141\nname: Focused neutral encoding\ncategory: books\nprice: 14.45\ncurrency: USD\nstock: 826\nis_available: true\nrating: 4.59\nreviews: 564\nspecs:\n weight_kg: 27.7\n dimensions: 42x99x90cm\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 128
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate transaction record data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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:\ntxn_id = \"TXN-30876983\"\ncustomer_id = \"b5aca191-66fe-49e0-85ce-2d363d5ef454\"\ntimestamp = \"2026-01-07T13:51:26.163076\"\nsubtotal = 199.93\ntax = 118.13\ntotal = 913.78\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-56664\"\nqty = 2\nprice = 285.83\n\n[[items]]\nsku = \"SKU-25305\"\nqty = 1\nprice = 45.15\n\n[[items]]\nsku = \"SKU-78820\"\nqty = 4\nprice = 47.49\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "transaction_record",
"type": "generation",
"estimated_tokens": 162
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Transform this JSON data into XML format:\n{\n \"review_id\": \"REV-3637179\",\n \"product_id\": \"PROD-905516\",\n \"user_id\": \"cbc145e7-7f32-438c-ba90-61711bf65a15\",\n \"rating\": 1,\n \"title\": \"Hand ok join you population.\",\n \"content\": \"Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.\",\n \"date\": \"2026-01-03\",\n \"verified_purchase\": false,\n \"helpful_votes\": 42\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert customer review 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<customer_review>\n<review_id>REV-3637179</review_id>\n<product_id>PROD-905516</product_id>\n<user_id>cbc145e7-7f32-438c-ba90-61711bf65a15</user_id>\n<rating>1</rating>\n<title>Hand ok join you population.</title>\n<content>Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>42</helpful_votes>\n</customer_review>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "customer_review",
"type": "conversion",
"estimated_tokens": 211
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate product listing data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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<product_listing>\n<category>electronics</category>\n<specs>\n<weight_kg>38.59</weight_kg>\n<dimensions>23x92x45cm</dimensions>\n</specs>\n<stock>596</stock>\n<price>218.58</price>\n</product_listing>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 136
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: 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,context_request_id,context_user_id,funding_source,keywords,message,paper_id,publication_doi,publication_venue,publication_year,stack_trace,timestamp,title\r\n,,,0aea7b7e-f431-4209-a4db-008320d27043,b89e754b-fd03-47c7-9600-09a7cb6d3517,,,Baby inside high our should character study quickly.,,,,,\"[\"\"at standard.py:486\"\", \"\"at memory.py:53\"\", \"\"at team.py:342\"\"]\",2026-01-07T13:51:25.507604,\r\n\"Because mean yard protect sit relate.\nEducation campaign force right contain choose. Special pick ed\",\"[{\"\"name\"\": \"\"Michael Thompson\"\", \"\"affiliation\"\": \"\"Farmer LLC\"\", \"\"email\"\": \"\"vlee@example.org\"\"}, {\"\"name\"\": \"\"C\",397,,,None,\"[\"\"parent\"\", \"\"challenge\"\", \"\"either\"\"]\",,arXiv:2023.13141,10.6960/Mnur,Cell,2022,,,Phased well-modulated infrastructure\r\nEntire stock use name. Really authority rather heavy. Skill travel month focus thus see shoulder.,\"[{\"\"name\"\": \"\"Jeanne Parker\"\", \"\"affiliation\"\": \"\"Woods-Brown\"\", \"\"email\"\": \"\"bjones@example.org\"\"}, {\"\"name\"\": \"\"K\",430,,,Ortiz PLC,\"[\"\"option\"\", \"\"though\"\", \"\"teacher\"\"]\",,arXiv:2022.94041,10.6127/xrZD,Cell,2021,,,Automated holistic Local Area Network\r\nEight increase smile often law challenge citizen. Along door season international report.,\"[{\"\"name\"\": \"\"David Aguilar\"\", \"\"affiliation\"\": \"\"Crawford and Sons\"\", \"\"email\"\": \"\"jfrye@example.com\"\"}, {\"\"name\",447,,,None,\"[\"\"it\"\", \"\"wear\"\", \"\"perhaps\"\", \"\"enjoy\"\"]\",,arXiv:2021.67731,10.6543/nZAn,Nature,2022,,,Sharable object-oriented leverage\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 443
}
|
[
{
"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: 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-449984,2026-01-04,\"[{\"\"name\"\": \"\"Garcia-Henson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Moore LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,49,694475\r\nCTR-397079,2026-01-06,\"[{\"\"name\"\": \"\"Johnson LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Powers Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,46,361849\r\nCTR-657773,2026-01-02,\"[{\"\"name\"\": \"\"Taylor, Harrison and Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Saunders-Hayes\"\", \"\"role\"\": \"\"part\",pending,30,143616\r\nCTR-615113,2026-01-01,\"[{\"\"name\"\": \"\"Brown, Walker and Walker\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Doyle, Padilla and Collins\"\", \"\"ro\",executed,22,439851\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "contract",
"type": "generation",
"estimated_tokens": 244
}
|
[
{
"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<transaction_record>\n<customer_id>5642be10-2f96-4bf3-93bb-ea73b498db7e</customer_id>\n<timestamp>2026-01-07T13:51:27.704310</timestamp>\n<total>2159.3</total>\n<tax>150.65</tax>\n<items>\n<sku>SKU-21107</sku>\n<qty>2</qty>\n<price>436.86</price>\n</items>\n<items>\n<sku>SKU-34269</sku>\n<qty>3</qty>\n<price>260.71</price>\n</items>\n<items>\n<sku>SKU-81249</sku>\n<qty>3</qty>\n<price>416.92</price>\n</items>\n<items>\n<sku>SKU-97216</sku>\n<qty>3</qty>\n<price>177.96</price>\n</items>\n</transaction_record>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert transaction record from XML 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 \"customer_id\": \"5642be10-2f96-4bf3-93bb-ea73b498db7e\",\n \"timestamp\": \"2026-01-07T13:51:27.704310\",\n \"total\": 2159.3,\n \"tax\": 150.65,\n \"items\": [\n {\n \"sku\": \"SKU-21107\",\n \"qty\": 2,\n \"price\": 436.86\n },\n {\n \"sku\": \"SKU-34269\",\n \"qty\": 3,\n \"price\": 260.71\n },\n {\n \"sku\": \"SKU-81249\",\n \"qty\": 3,\n \"price\": 416.92\n },\n {\n \"sku\": \"SKU-97216\",\n \"qty\": 3,\n \"price\": 177.96\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "transaction_record",
"type": "conversion",
"estimated_tokens": 197
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Transform this TOML data into YAML format:\nerror_id = \"21bf982e-3e24-486f-a8ed-fe9e0227df3b\"\ntimestamp = \"2026-01-07T13:51:27.797574\"\nlevel = \"CRITICAL\"\nservice = \"letService\"\nmessage = \"Story quite another important.\"\nstack_trace = [ \"at decision.py:100\", \"at sing.py:289\", \"at long.py:325\", \"at special.py:174\",]\n\n[context]\nuser_id = \"8c36ba55-183c-4481-9cd9-dc049447888c\"\nrequest_id = \"089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\"\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert error log from TOML 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:\nerror_id: 21bf982e-3e24-486f-a8ed-fe9e0227df3b\ntimestamp: '2026-01-07T13:51:27.797574'\nlevel: CRITICAL\nservice: letService\nmessage: Story quite another important.\nstack_trace:\n- at decision.py:100\n- at sing.py:289\n- at long.py:325\n- at special.py:174\ncontext:\n user_id: 8c36ba55-183c-4481-9cd9-dc049447888c\n request_id: 089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"type": "conversion",
"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": "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: 21bf982e-3e24-486f-a8ed-fe9e0227df3b\ntimestamp: '2026-01-07T13:51:27.797574'\nlevel: CRITICAL\nservice: letService\nmessage: Story quite another important.\nstack_trace:\n- at decision.py:100\n- at sing.py:289\n- at long.py:325\n- at special.py:174\ncontext:\n user_id: 8c36ba55-183c-4481-9cd9-dc049447888c\n request_id: 089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 166
}
|
[
{
"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<transaction_record>\n<txn_id>TXN-72432123</txn_id>\n<customer_id>d14101dd-b47b-4916-b7e5-0ad54eefbb55</customer_id>\n<timestamp>2026-01-07T13:51:26.808008</timestamp>\n<items>\n<sku>SKU-29323</sku>\n<qty>2</qty>\n<price>70.49</price>\n</items>\n<items>\n<sku>SKU-65460</sku>\n<qty>3</qty>\n<price>466.32</price>\n</items>\n<items>\n<sku>SKU-59283</sku>\n<qty>1</qty>\n<price>149.96</price>\n</items>\n<items>\n<sku>SKU-68579</sku>\n<qty>2</qty>\n<price>13.04</price>\n</items>\n<subtotal>1301.16</subtotal>\n<tax>124.54</tax>\n<total>239.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert transaction record from XML 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 \"txn_id\": \"TXN-72432123\",\n \"customer_id\": \"d14101dd-b47b-4916-b7e5-0ad54eefbb55\",\n \"timestamp\": \"2026-01-07T13:51:26.808008\",\n \"items\": [\n {\n \"sku\": \"SKU-29323\",\n \"qty\": 2,\n \"price\": 70.49\n },\n {\n \"sku\": \"SKU-65460\",\n \"qty\": 3,\n \"price\": 466.32\n },\n {\n \"sku\": \"SKU-59283\",\n \"qty\": 1,\n \"price\": 149.96\n },\n {\n \"sku\": \"SKU-68579\",\n \"qty\": 2,\n \"price\": 13.04\n }\n ],\n \"subtotal\": 1301.16,\n \"tax\": 124.54,\n \"total\": 239.49,\n \"payment_method\": \"apple_pay\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "transaction_record",
"type": "conversion",
"estimated_tokens": 217
}
|
[
{
"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-94493547\nplatform: instagram\nuser_id: ebddd714-2a63-4fd6-985c-fb7fe32db0b4\nusername: laura52\ncontent: 'Property political your form stand cup blood. Business later seem sea represent\n enough relationship memory.\n\n What ok that look past. Budget understand mouth during brother pull type spring.'\ntimestamp: '2026-01-07T13:51:27.134920'\nhashtags:\n- '#red'\n- '#hotel'\n- '#create'\nengagement:\n likes: 8599\n shares: 93\n comments: 39\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 190
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/traditional_get_parameters,paths_/traditional_get_responses_200_description,paths_/traditional_get_responses_400_description,paths_/traditional_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Optional bottom-line complexity API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Discussion then kind hair.,,,,\r\nTwo professor clearly and. Throughout financial during if truth involve change husband.,\"[{\"\"name\"\": \"\"Patrick Johnson\"\", \"\"affiliation\"\": \"\"Finley PLC\"\", \"\"email\"\": \"\"kmurray@example.org\"\"}, {\"\"name\"\": \",320,None,,,\"[\"\"learn\"\", \"\"leg\"\", \"\"two\"\"]\",,arXiv:2024.27870,,,,,10.7781/mzuv,Cell,2020,Centralized grid-enabled ability\r\nValue treat size keep. Country marriage one though there moment. Local sure likely generation medica,\"[{\"\"name\"\": \"\"Julia Jackson\"\", \"\"affiliation\"\": \"\"Richard Group\"\", \"\"email\"\": \"\"fernandorichard@example.com\"\"}, \",226,\"Campbell, Garcia and Gonzalez\",,,\"[\"\"name\"\", \"\"discuss\"\", \"\"fill\"\", \"\"quickly\"\", \"\"process\"\"]\",,arXiv:2024.34171,,,,,10.3922/iAWM,Cell,2022,Polarized non-volatile software\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 394
}
|
[
{
"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 prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-8246470\npatient_mrn: MRN-256913\nprescriber: Victor Valentine\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n dosage: 20mg\n frequency: daily\n quantity: 30\n- name: Lisinopril\n dosage: 10mg\n frequency: BID\n quantity: 60\n- name: Lisinopril\n dosage: 5mg\n frequency: TID\n quantity: 30\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "prescription",
"type": "generation",
"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 news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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:\ncontent: 'Capital way what customer unit skill. Arm bar occur article mouth enjoy.\n Exactly approach mention single.\n\n Strong who against entire.\n\n Kid television artist dream back agency. Need main ago investment job behavior.'\npublished: '2026-01-03T04:54:27.964292'\nviews: 73181\nheadline: Vision-oriented analyzing groupware\nsection: Business\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "news_article",
"type": "generation",
"estimated_tokens": 165
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: d03afc03-94bd-4dbb-bf49-9cda441c119b\ntimestamp: '2026-01-07T13:51:25.952127'\nlevel: CRITICAL\nservice: fromService\nmessage: Add perform politics some card score brother.\nstack_trace:\n- at send.py:152\n- at young.py:309\ncontext:\n user_id: 2b3e5573-7b69-4807-a899-cbaa4adadf38\n request_id: beac9c14-4ae5-407d-9aae-d7a56f6790f6\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "error_log",
"type": "generation",
"estimated_tokens": 160
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Transform this TOML data into YAML format:\ncourse_id = \"CRS-3741\"\ncode = \"XMJ312\"\ntitle = \"Managed incremental focus group 101\"\ninstructor = \"Rachel Diaz\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"body\"\n\n[[schedule]]\nweek = 2\ntopic = \"rather\"\n\n[[schedule]]\nweek = 3\ntopic = \"song\"\n\n[[schedule]]\nweek = 4\ntopic = \"child\"\n\n[[schedule]]\nweek = 5\ntopic = \"born\"\n\n[[schedule]]\nweek = 6\ntopic = \"beyond\"\n\n[[schedule]]\nweek = 7\ntopic = \"there\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert course syllabus from TOML 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:\ncourse_id: CRS-3741\ncode: XMJ312\ntitle: Managed incremental focus group 101\ninstructor: Rachel Diaz\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n topic: body\n- week: 2\n topic: rather\n- week: 3\n topic: song\n- week: 4\n topic: child\n- week: 5\n topic: born\n- week: 6\n topic: beyond\n- week: 7\n topic: there\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "course_syllabus",
"type": "conversion",
"estimated_tokens": 169
}
|
[
{
"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 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-3836429\"\nproduct_id = \"PROD-852988\"\nuser_id = \"39a3d2bd-fb84-4dfc-9cb6-45bd3ebddca0\"\nrating = 2\ntitle = \"Report thus get describe identify.\"\ncontent = \"Or dog never any center population. Program it they Republican over step. Who television finish true game.\\nList catch candidate west research. Meeting many imagine.\"\ndate = \"2026-01-01\"\nverified_purchase = false\nhelpful_votes = 23\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "customer_review",
"type": "generation",
"estimated_tokens": 174
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Reformat the data below from YAML to JSON:\nproduct_id: PROD-469887\nis_available: true\nreviews: 612\nname: Networked executive capability\ncurrency: USD\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert product listing 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 \"product_id\": \"PROD-469887\",\n \"is_available\": true,\n \"reviews\": 612,\n \"name\": \"Networked executive capability\",\n \"currency\": \"USD\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "product_listing",
"type": "conversion",
"estimated_tokens": 115
}
|
[
{
"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 \"article_id\": \"ART-7317178\",\n \"headline\": \"Sharable 5thgeneration framework\",\n \"author\": \"Judy Garner\",\n \"published\": \"2026-01-07T07:35:28.380949\",\n \"section\": \"Politics\",\n \"content\": \"Cover whole myself late last month authority. Make away choose difficult.\\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.\",\n \"tags\": [\n \"cover\",\n \"people\",\n \"available\",\n \"above\",\n \"service\"\n ],\n \"views\": 84087,\n \"shares\": 2480\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert news article 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<news_article>\n<article_id>ART-7317178</article_id>\n<headline>Sharable 5thgeneration framework</headline>\n<author>Judy Garner</author>\n<published>2026-01-07T07:35:28.380949</published>\n<section>Politics</section>\n<content>Cover whole myself late last month authority. Make away choose difficult.\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.</content>\n<tags>cover</tags>\n<tags>people</tags>\n<tags>available</tags>\n<tags>above</tags>\n<tags>service</tags>\n<views>84087</views>\n<shares>2480</shares>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "news_article",
"type": "conversion",
"estimated_tokens": 231
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Transform this CSV data into YAML format:\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,Brother agent radio might own development. Too strong minute building why. Cell so amount imagine si,,2026-01-03,14,,,,PROD-380257,4,REV-1132090,,,,,Young race true property less government.,251dc214-da1e-4fb5-8ea5-d107ad43f82c,False\r\nelectronics,,USD,,,True,Grass-roots incremental utilization,959.71,PROD-324946,3.78,,14,60x96x69cm,42.4,575,,,\r\nbooks,,USD,,,True,Synergistic interactive Local Area Network,326.43,PROD-224633,2.79,,246,32x33x47cm,42.9,442,,,\r\nclothing,,USD,,,True,Progressive coherent adapter,387.29,PROD-912802,1.68,,31,23x13x93cm,47.74,150,,,\r\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert customer review from CSV 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:\nreview_id: REV-1132090\nproduct_id: PROD-380257\nuser_id: 251dc214-da1e-4fb5-8ea5-d107ad43f82c\nrating: 4\ntitle: Young race true property less government.\ncontent: 'Brother agent radio might own development. Too strong minute building why.\n Cell so amount imagine simple.\n\n Court every deal change allow last practice. Western far thus.'\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 14\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "customer_review",
"type": "conversion",
"estimated_tokens": 179
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Convert the following TOML to XML:\nreview_id = \"REV-9982202\"\nproduct_id = \"PROD-452864\"\nuser_id = \"015289de-7f3e-45e2-b1d0-7fe22aff92a9\"\nrating = 3\ntitle = \"Example center fill free.\"\ncontent = \"North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.\"\ndate = \"2026-01-04\"\nverified_purchase = false\nhelpful_votes = 34\n"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert customer review from TOML 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<customer_review>\n<review_id>REV-9982202</review_id>\n<product_id>PROD-452864</product_id>\n<user_id>015289de-7f3e-45e2-b1d0-7fe22aff92a9</user_id>\n<rating>3</rating>\n<title>Example center fill free.</title>\n<content>North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>34</helpful_votes>\n</customer_review>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "customer_review",
"type": "conversion",
"estimated_tokens": 218
}
|
[
{
"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-5490961\npatient_mrn: MRN-709917\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Glucose\n value: 146.9\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 119.4\n unit: g/dL\n flag: low\n- test: WBC\n value: 95.1\n unit: g/dL\n flag: low\n- test: Hemoglobin\n value: 73.3\n unit: g/dL\n flag: high\n- test: Glucose\n value: 166.8\n unit: g/dL\n flag: low\n- test: WBC\n value: 98.8\n unit: g/dL\n flag: high\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 183
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Produce a XML document for a lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<patient_mrn>MRN-135092</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>129.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>120.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>131.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>147.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<result_id>LAB-9224780</result_id>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "lab_result",
"type": "generation",
"estimated_tokens": 251
}
|
[
{
"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 \"assessment_id\": \"ASMT-613322\",\n \"student_id\": \"STU-814570\",\n \"course_id\": \"CRS-3548\",\n \"type\": \"assignment\",\n \"date\": \"2026-01-01\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 8,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 6,\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\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 1,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 64,\n \"percentage\": 69.35,\n \"grade\": \"C\"\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert student assessment 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:\nassessment_id: ASMT-613322\nstudent_id: STU-814570\ncourse_id: CRS-3548\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n points_earned: 1\n points_possible: 10\n- question: 2\n points_earned: 10\n points_possible: 10\n- question: 3\n points_earned: 8\n points_possible: 10\n- question: 4\n points_earned: 6\n points_possible: 10\n- question: 5\n points_earned: 7\n points_possible: 10\n- question: 6\n points_earned: 7\n points_possible: 10\n- question: 7\n points_earned: 1\n points_possible: 10\ntotal_score: 64\npercentage: 69.35\ngrade: C\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "student_assessment",
"type": "conversion",
"estimated_tokens": 215
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output sales analytics as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"December 2023\"\ntotal_revenue = 5338205\nunits_sold = 90572\n[[channels]]\nname = \"wholesale\"\nrevenue = 2316482\ngrowth = -1.07\n\n[[channels]]\nname = \"online\"\nrevenue = 3744469\ngrowth = -0.81\n\n[[top_products]]\nsku = \"SKU-4601\"\nsales = 454934\n\n[[top_products]]\nsku = \"SKU-9892\"\nsales = 55264\n\n[[top_products]]\nsku = \"SKU-8319\"\nsales = 254442\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 160
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output clinical note as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nencounter_date = \"2026-01-06\"\nnote_id = \"CN-3244099\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I24\"\n\n[patient]\nmrn = \"MRN-470382\"\nage = 61\ngender = \"F\"\n\n[vitals]\nbp = \"158/77\"\nhr = 112\ntemp_f = 99.5\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "clinical_note",
"type": "generation",
"estimated_tokens": 125
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output prescription as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-3305496\npatient_mrn: MRN-551064\nprescriber: Eric Jackson\ndate: '2026-01-03'\nmedications:\n- name: Atorvastatin\n dosage: 20mg\n frequency: daily\n quantity: 90\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "prescription",
"type": "generation",
"estimated_tokens": 119
}
|
[
{
"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<sales_analytics>\n<units_sold>11543</units_sold>\n<period>June 2021</period>\n<channels>\n<name>online</name>\n<revenue>1417680</revenue>\n<growth>41.94</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3176166</revenue>\n<growth>26.78</growth>\n</channels>\n<total_revenue>8223229</total_revenue>\n<top_products>\n<sku>SKU-9002</sku>\n<sales>412560</sales>\n</top_products>\n<top_products>\n<sku>SKU-3918</sku>\n<sales>426996</sales>\n</top_products>\n<top_products>\n<sku>SKU-1618</sku>\n<sales>496165</sales>\n</top_products>\n</sales_analytics>"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert sales analytics from XML 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 \"units_sold\": 11543,\n \"period\": \"June 2021\",\n \"channels\": [\n {\n \"name\": \"online\",\n \"revenue\": 1417680,\n \"growth\": 41.94\n },\n {\n \"name\": \"wholesale\",\n \"revenue\": 3176166,\n \"growth\": 26.78\n }\n ],\n \"total_revenue\": 8223229,\n \"top_products\": [\n {\n \"sku\": \"SKU-9002\",\n \"sales\": 412560\n },\n {\n \"sku\": \"SKU-3918\",\n \"sales\": 426996\n },\n {\n \"sku\": \"SKU-1618\",\n \"sales\": 496165\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "sales_analytics",
"type": "conversion",
"estimated_tokens": 199
}
|
[
{
"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:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\nRespond order far story by area affect. Important also catch down choice office necessary political.,,,,5,REV-2205395,,,\r\n\"Seem social natural war box. Individual without do speak kind. Yeah behind thus family try large.\nWo\",2026-01-01,84,PROD-783315,4,REV-8247814,And determine nice city professor.,e2419ade-89d5-4ffd-afcf-3ca8dfbf0083,False\r\n\"Also out sell show allow none whole. Reduce order end hard seven camera close.\nMovie involve old beh\",2026-01-04,41,PROD-267667,2,REV-5750090,Goal although Democrat boy have our employee.,d7ec9da1-668a-440a-82d5-fc3a512710e7,True\r\nCouple daughter year season stop. Institution some inside. Recent without most law.,2026-01-05,1,PROD-190905,3,REV-5636641,Get strong into score sing result list.,adc7fd92-c31f-46d6-8515-236be6a6118a,True\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "customer_review",
"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": "Create a CSV representation of prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,medications,paper_id,prescriber,publication_doi,publication_venue,publication_year,title\r\n,,,2026-01-03,,,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",,Isaac Howard,,,,\r\n\"Owner threat quite because kid force. Already minute fine effort.\nCell thing wife.\",\"[{\"\"name\"\": \"\"Ashley Leon\"\", \"\"affiliation\"\": \"\"Moore Group\"\", \"\"email\"\": \"\"zsmith@example.com\"\"}, {\"\"name\"\": \"\"Apr\",343,,None,\"[\"\"system\"\", \"\"shake\"\", \"\"human\"\", \"\"without\"\", \"\"anyone\"\"]\",,arXiv:2021.63755,,10.4751/DMfb,Nature,2022,Inverse bifurcated solution\r\nReturn mission friend. Beautiful buy certainly body effort claim. Prevent land national military off,\"[{\"\"name\"\": \"\"Vickie Lara\"\", \"\"affiliation\"\": \"\"Fuller Inc\"\", \"\"email\"\": \"\"uperry@example.net\"\"}, {\"\"name\"\": \"\"Thom\",306,,Lynn-James,\"[\"\"government\"\", \"\"ready\"\", \"\"conference\"\", \"\"more\"\", \"\"Republican\"\"]\",,arXiv:2021.91225,,10.8838/APmf,Cell,2022,Open-source solution-oriented open system\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "prescription",
"type": "generation",
"estimated_tokens": 331
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate experiment result data in CSV format."
},
{
"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\nsignificant,EXP-137327,RCT,111,679,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 73.26, \"\"endpoint\"\": 72.84, \"\"p_value\"\": 0.0533}, {\"\"metric\"\": \"\"efficacy\",Effect of class on read\r\nnon-significant,EXP-235203,cohort,209,804,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 19.69, \"\"endpoint\"\": 73.08, \"\"p_value\"\": 0.3515}, {\"\"metric\"\": \"\"efficacy\",Effect of task on especially\r\nsignificant,EXP-271383,observational,81,817,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 75.4, \"\"endpoint\"\": 70.46, \"\"p_value\"\": 0.0044}, {\"\"metric\"\": \"\"safety\"\", \",Effect of consider on able\r\nsignificant,EXP-696192,observational,355,328,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 31.21, \"\"endpoint\"\": 49.4, \"\"p_value\"\": 0.3245}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of skill on my\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "experiment_result",
"type": "generation",
"estimated_tokens": 289
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output course syllabus as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1689\ncode: NZW166\ntitle: Operative modular system engine 101\ninstructor: David Chen\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n topic: in\n- week: 2\n topic: summer\n- week: 3\n topic: unit\n- week: 4\n topic: wind\n- week: 5\n topic: act\n- week: 6\n topic: itself\n- week: 7\n topic: would\n- week: 8\n topic: itself\n- week: 9\n topic: tell\n- week: 10\n topic: money\n- week: 11\n topic: long\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "course_syllabus",
"type": "generation",
"estimated_tokens": 192
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Assimilated neutral archive API\"\nversion = \"1.0.0\"\n\n[paths.\"/sea\".get]\nsummary = \"Team happen challenge address expert manage beyond\"\n[[paths.\"/sea\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/sea\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/sea\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/sea\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/sea\".get.responses.400]\ndescription = \"Bad Request\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "api_specification",
"type": "generation",
"estimated_tokens": 205
}
|
[
{
"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 financial report."
},
{
"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>Tucker and Sons</company>\n<ticker>BPQE</ticker>\n<quarter>Q4 2024</quarter>\n<revenue>70279854</revenue>\n<expenses>61737533</expenses>\n<net_income>12235621</net_income>\n<eps>3.52</eps>\n<metrics>\n<profit_margin>24.27</profit_margin>\n<roe>16.15</roe>\n</metrics>\n</financial_report>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "financial_report",
"type": "generation",
"estimated_tokens": 163
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output research paper as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper 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:\nauthors:\n- name: Laura White\n affiliation: Coleman, Johnson and Ross\n email: jillcollins@example.com\n- name: Sarah Woods\n affiliation: Durham, Thompson and White\n email: sbeard@example.com\ntitle: Seamless cohesive projection\nfunding_source: null\nabstract: Middle several interesting move. Wrong represent guess threat. Once paper\n represent.\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "research_paper",
"type": "generation",
"estimated_tokens": 165
}
|
[
{
"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 product listing."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Streamlined full-range ability,959.9,PROD-723394,3.7,332,53x67x45cm,9.93,28\r\nelectronics,USD,True,Expanded bottom-line model,840.7,PROD-698040,4.22,190,74x95x57cm,3.34,783\r\nbooks,USD,True,De-engineered 5thgeneration complexity,615.54,PROD-690887,3.16,360,17x21x44cm,25.36,224\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "product_listing",
"type": "generation",
"estimated_tokens": 177
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1234153, \"\"growth\"\": 40.64}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 991509, \"\"\",,,,,November 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-9585\"\", \"\"sales\"\": 30234}, {\"\"sku\"\": \"\"SKU-8072\"\", \"\"sales\"\": 57362}, {\"\"sku\"\": \"\"SKU-4011\"\", \"\"sale\",9138741,89798\r\nUp edge fast appear realize record my style. Approach five state drive example find book high.,\"[{\"\"name\"\": \"\"Jason Duncan\"\", \"\"affiliation\"\": \"\"Martinez PLC\"\", \"\"email\"\": \"\"jhart@example.net\"\"}, {\"\"name\"\": \"\"An\",,234,Davies Ltd,\"[\"\"hair\"\", \"\"food\"\", \"\"require\"\", \"\"task\"\", \"\"rate\"\"]\",arXiv:2023.42442,,10.9771/AkkV,Science,2021,Re-engineered object-oriented groupware,,,\r\nStudent enter thing environment heart. Ready including data program number. Official top smile forme,\"[{\"\"name\"\": \"\"Jennifer Jensen\"\", \"\"affiliation\"\": \"\"Cooper and Sons\"\", \"\"email\"\": \"\"yfisher@example.org\"\"}, {\"\"na\",,96,None,\"[\"\"local\"\", \"\"hot\"\", \"\"such\"\", \"\"executive\"\", \"\"against\"\"]\",arXiv:2023.30899,,10.4658/ckbU,Nature,2022,Reverse-engineered systemic workforce,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "sales_analytics",
"type": "generation",
"estimated_tokens": 376
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Convert the following JSON to TOML:\n{\n \"product_id\": \"PROD-110536\",\n \"name\": \"Organized didactic parallelism\",\n \"category\": \"clothing\",\n \"price\": 68.12,\n \"currency\": \"USD\",\n \"stock\": 153,\n \"is_available\": true,\n \"rating\": 1.45,\n \"reviews\": 277,\n \"specs\": {\n \"weight_kg\": 1.85,\n \"dimensions\": \"33x70x14cm\"\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert product listing from JSON to 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. Transform values to match the target format specifications.\n\nOutput:\nproduct_id = \"PROD-110536\"\nname = \"Organized didactic parallelism\"\ncategory = \"clothing\"\nprice = 68.12\ncurrency = \"USD\"\nstock = 153\nis_available = true\nrating = 1.45\nreviews = 277\n\n[specs]\nweight_kg = 1.85\ndimensions = \"33x70x14cm\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "product_listing",
"type": "conversion",
"estimated_tokens": 134
}
|
[
{
"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-93814090\nplatform: facebook\nuser_id: 6a4446e9-5537-4ba1-bf03-5db2d36e07b9\nusername: tonyaguzman\ncontent: Subject watch side owner new. Quality million clear hand clearly environmental.\n Forget face machine little check.\ntimestamp: '2026-01-07T13:51:26.454281'\nhashtags:\n- '#plan'\n- '#area'\n- '#foreign'\nengagement:\n likes: 5322\n shares: 327\n comments: 152\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "social_media_post",
"type": "generation",
"estimated_tokens": 171
}
|
[
{
"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 \"post_id\": \"POST-54622203\",\n \"platform\": \"instagram\",\n \"user_id\": \"1456e108-0a50-4482-8f1a-b1cb2398a121\",\n \"username\": \"fullersteven\",\n \"content\": \"Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\\nAny fine power truth. Big like investment simple whatever education.\",\n \"timestamp\": \"2026-01-07T13:51:25.504049\",\n \"hashtags\": [\n \"#deep\",\n \"#yes\",\n \"#long\",\n \"#including\"\n ],\n \"engagement\": {\n \"likes\": 464,\n \"shares\": 699,\n \"comments\": 294\n }\n}"
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Convert social media post 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<social_media_post>\n<post_id>POST-54622203</post_id>\n<platform>instagram</platform>\n<user_id>1456e108-0a50-4482-8f1a-b1cb2398a121</user_id>\n<username>fullersteven</username>\n<content>Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\nAny fine power truth. Big like investment simple whatever education.</content>\n<timestamp>2026-01-07T13:51:25.504049</timestamp>\n<hashtags>#deep</hashtags>\n<hashtags>#yes</hashtags>\n<hashtags>#long</hashtags>\n<hashtags>#including</hashtags>\n<engagement>\n<likes>464</likes>\n<shares>699</shares>\n<comments>294</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "social_media_post",
"type": "conversion",
"estimated_tokens": 251
}
|
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