messages
listlengths 3
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[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output course syllabus as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: 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\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nRKY238,CRS-8998,4,40,30,30,Robert King,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"debate\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"town\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"run\"\"}, {\"\"week\"\":\",Fall 2021,Up-sized fresh-thinking task-force 101\r\nGBO461,CRS-1464,3,40,30,30,Michelle Martin,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"share\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"approach\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"contain\"\"}, {\",Fall 2023,Reverse-engineered national matrix 101\r\nZEY144,CRS-5311,3,40,30,30,Matthew Adams,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"just\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"paper\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"process\"\"}, {\"\"wee\",Spring 2020,Profit-focused fault-tolerant infrastructure 101\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 248
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate research paper data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.18718</paper_id>\n<title>Advanced interactive customer loyalty</title>\n<authors>\n<name>Miranda Hahn DDS</name>\n<affiliation>Weeks-Obrien</affiliation>\n<email>williamschristopher@example.com</email>\n</authors>\n<authors>\n<name>Angela Harvey</name>\n<affiliation>Harrington-Weaver</affiliation>\n<email>richard07@example.org</email>\n</authors>\n<abstract>View group structure defense nice several why. Because fast various after hot.</abstract>\n<keywords>move</keywords>\n<keywords>land</keywords>\n<keywords>theory</keywords>\n<keywords>year</keywords>\n<keywords>call</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2021</year>\n<doi>10.7267/Cabj</doi>\n</publication>\n<citations>188</citations>\n</research_paper>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 256
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-8165732</review_id>\n<product_id>PROD-956301</product_id>\n<user_id>3388a042-ee80-43c3-baec-8cdce6813d27</user_id>\n<rating>2</rating>\n<title>Away article individual western big strong true of</title>\n<content>Board girl less management maybe. Choice that watch nothing safe little. Option explain happy sea.</content>\n<date>2026-01-02</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>29</helpful_votes>\n</customer_review>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 187
}
|
[
{
"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 product listing."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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\n\nOutput:\nabstract,authors,citations,currency,keywords,name,paper_id,publication_doi,publication_venue,publication_year,reviews,stock,title\r\n,,,USD,,Secured composite standardization,,,,,670,22,\r\nDescribe treatment pretty baby quickly second. Lay huge late wife protect well. Throw population rad,\"[{\"\"name\"\": \"\"Sarah Lee\"\", \"\"affiliation\"\": \"\"Gray LLC\"\", \"\"email\"\": \"\"steelealexander@example.net\"\"}, {\"\"name\"\": \",367,,\"[\"\"song\"\", \"\"control\"\", \"\"candidate\"\", \"\"room\"\", \"\"find\"\"]\",,arXiv:2020.55213,10.9852/Apam,Science,2020,,,Programmable multi-tasking analyzer\r\nMaterial certainly early song. Investment before value only money similar relationship read.,\"[{\"\"name\"\": \"\"Mrs. Susan Walker\"\", \"\"affiliation\"\": \"\"Fuller, Gonzalez and Brown\"\", \"\"email\"\": \"\"stephanie92@ex\",137,,\"[\"\"through\"\", \"\"management\"\", \"\"tree\"\"]\",,arXiv:2020.84537,10.9636/eNQB,Nature,2022,,,Public-key maximized core\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "product_listing",
"estimated_tokens": 281
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate course syllabus data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"credits\": 4,\n \"title\": \"Open-architected holistic challenge 101\",\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 98
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output course syllabus as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"course_id\": \"CRS-5397\",\n \"code\": \"ASR383\",\n \"title\": \"Pre-emptive web-enabled focus group 101\",\n \"instructor\": \"Jacqueline Moran\",\n \"credits\": 4,\n \"term\": \"Fall 2020\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"network\"\n },\n {\n \"week\": 2,\n \"topic\": \"character\"\n },\n {\n \"week\": 3,\n \"topic\": \"figure\"\n },\n {\n \"week\": 4,\n \"topic\": \"science\"\n },\n {\n \"week\": 5,\n \"topic\": \"billion\"\n },\n {\n \"week\": 6,\n \"topic\": \"what\"\n },\n {\n \"week\": 7,\n \"topic\": \"break\"\n },\n {\n \"week\": 8,\n \"topic\": \"generation\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 239
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate transaction record data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nb1afb060-da5f-4b1e-83bb-51dd66f78750,\"[{\"\"sku\"\": \"\"SKU-30844\"\", \"\"qty\"\": 2, \"\"price\"\": 452.48}, {\"\"sku\"\": \"\"SKU-83026\"\", \"\"qty\"\": 5, \"\"price\"\": 329.4}, {\"\"\",credit_card,599.33,116.01,2026-01-04T10:26:53.959442,1602.96,TXN-87168559\r\n14738cae-742a-4f93-bfbe-b612822b3fad,\"[{\"\"sku\"\": \"\"SKU-13118\"\", \"\"qty\"\": 2, \"\"price\"\": 430.49}]\",apple_pay,1228.21,95.66,2026-01-04T10:26:53.960630,153.77,TXN-41031337\r\nd6d184de-46ce-4dd5-be82-f8e78a96e15d,\"[{\"\"sku\"\": \"\"SKU-51813\"\", \"\"qty\"\": 2, \"\"price\"\": 209.62}, {\"\"sku\"\": \"\"SKU-29839\"\", \"\"qty\"\": 3, \"\"price\"\": 263.45}, {\",paypal,561.65,155.88,2026-01-04T10:26:53.960680,1568.9,TXN-35105264\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "transaction_record",
"estimated_tokens": 234
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "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\n\nOutput:\n{\n \"note_id\": \"CN-9061914\",\n \"patient\": {\n \"mrn\": \"MRN-193970\",\n \"age\": 21,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-03\",\n \"chief_complaint\": \"fever\",\n \"vitals\": {\n \"bp\": \"136/106\",\n \"hr\": 78,\n \"temp_f\": 99.8\n },\n \"assessment\": [\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"J80\"\n },\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"I48\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 160
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"error_id\": \"d292b8e1-d30c-4016-9370-a3f68fbbf067\",\n \"timestamp\": \"2026-01-04T10:26:54.017315\",\n \"level\": \"ERROR\",\n \"service\": \"whyService\",\n \"message\": \"Step prove around suddenly full.\",\n \"stack_trace\": [\n \"at question.py:75\",\n \"at knowledge.py:423\",\n \"at hand.py:198\",\n \"at issue.py:135\"\n ],\n \"context\": {\n \"user_id\": \"fd22bf6f-ed7b-47db-bbfa-0d228bef16a9\",\n \"request_id\": \"8eafc039-630c-4aad-979a-4d8e839de52c\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 171
}
|
[
{
"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: 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\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,65b6e857-1714-41a3-89ca-d935a228655f,0fee10d6-a446-4aff-b0c3-0717b8b97a75,0ddf3b2e-c0b7-48c2-a02f-be268656f4a6,,WARNING,Interest above wife add surface girl keep safe.,,,,,pastService,\"[\"\"at business.py:119\"\", \"\"at relationship.py:283\"\", \"\"at have.py:305\"\", \"\"at follow.py:279\"\"]\",2026-01-04T10:26:54.464811,\r\nHold everyone behind. Close education receive agree. Decide admit magazine only low anything sign mo,\"[{\"\"name\"\": \"\"Susan Johnson\"\", \"\"affiliation\"\": \"\"Rios LLC\"\", \"\"email\"\": \"\"brendaperez@example.org\"\"}, {\"\"name\"\": \",149,,,,\"[\"\"perhaps\"\", \"\"mouth\"\", \"\"ball\"\", \"\"example\"\"]\",,,arXiv:2024.88072,10.5689/cfwz,Cell,2022,,,,Inverse radical synergy\r\n\"Treatment actually small quickly occur rock year.\nArrive we finally again rock change. Half imagine \",\"[{\"\"name\"\": \"\"Jennifer Chambers\"\", \"\"affiliation\"\": \"\"Lopez Group\"\", \"\"email\"\": \"\"william48@example.com\"\"}, {\"\"na\",40,,,,\"[\"\"instead\"\", \"\"lay\"\", \"\"movement\"\"]\",,,arXiv:2023.88736,10.6502/xCRT,Science,2024,,,,User-friendly composite superstructure\r\nParty customer give plant. Look television conference whom. Vote degree everyone put wide appear ten,\"[{\"\"name\"\": \"\"Richard Sparks\"\", \"\"affiliation\"\": \"\"Austin, Daniels and Flynn\"\", \"\"email\"\": \"\"kristensanchez@exa\",494,,,,\"[\"\"entire\"\", \"\"public\"\", \"\"site\"\"]\",,,arXiv:2020.27199,10.9415/XOBv,Cell,2022,,,,Upgradable 6thgeneration solution\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 443
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\neps = 9.85\ncompany = \"Schwartz, Powell and Bowen\"\nnet_income = 547882\n\n[metrics]\nprofit_margin = 5.93\nroe = 13.99\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "financial_report",
"estimated_tokens": 87
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npatient:\n mrn: MRN-698035\n age: 37\n gender: M\nassessment:\n- problem: diabetes\n icd10: I40\n- problem: diabetes\n icd10: J48\n- problem: hypertension\n icd10: J37\nvitals:\n bp: 162/70\n hr: 109\n temp_f: 98.9\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 114
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output contract as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nterm_months: 15\nstatus: pending\neffective_date: '2026-01-01'\ncontract_id: CTR-709117\nvalue: 610438\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 85
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate course syllabus data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntitle: Cloned optimal benchmark 101\ncourse_id: CRS-1214\ninstructor: Amy Rodriguez\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 82
}
|
[
{
"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 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\n\nOutput:\ncategory,currency,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,Realigned high-level utilization,609.91,PROD-864715,2.31,823,66x63x45cm,7.54,666\r\nbooks,USD,Integrated dynamic middleware,856.01,PROD-154615,2.77,464,10x48x16cm,45.91,30\r\nbooks,USD,Monitored zero-defect access,28.47,PROD-909630,4.23,656,21x54x60cm,36.2,172\r\nelectronics,USD,Exclusive bottom-line focus group,356.51,PROD-214727,4.95,596,57x45x20cm,18.52,235\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 175
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output lab result as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nresult_id = \"LAB-1633161\"\npatient_mrn = \"MRN-978652\"\norder_date = \"2026-01-03\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 128.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 100.9\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 167.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 165.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 84.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 170
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"experiment_id\": \"EXP-246185\",\n \"title\": \"Effect of quickly on even\",\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 260,\n \"duration_days\": 224\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 16.49,\n \"endpoint\": 41.95,\n \"p_value\": 0.3429\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 93.38,\n \"endpoint\": 88.94,\n \"p_value\": 0.44\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 58.3,\n \"endpoint\": 77.34,\n \"p_value\": 0.3276\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 201
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output student assessment as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<percentage>68.31</percentage>\n<student_id>STU-956251</student_id>\n<assessment_id>ASMT-964185</assessment_id>\n<type>quiz</type>\n</student_assessment>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 312
}
|
[
{
"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\n\nOutput:\npost_id: POST-70042733\nplatform: twitter\nuser_id: 1cb88433-eb3d-4312-b057-c40813e79586\nusername: manuel15\ncontent: Successful discover national fall write left tree. Paper story cause surface\n season read. Follow laugh factor room occur claim north. Garden do interview former\n soon tax sometimes tell.\ntimestamp: '2026-01-04T10:26:53.949447'\nhashtags:\n- '#meet'\n- '#college'\nengagement:\n likes: 4547\n shares: 209\n comments: 275\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "social_media_post",
"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": "Output product listing as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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\n\nOutput:\nproduct_id = \"PROD-927147\"\nname = \"Re-contextualized static data-warehouse\"\ncategory = \"electronics\"\nprice = 69.8\ncurrency = \"USD\"\nstock = 59\nrating = 4.79\nreviews = 687\n\n[specs]\nweight_kg = 48.87\ndimensions = \"100x11x76cm\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 113
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output contract as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\neffective_date = \"2026-01-03\"\ncontract_id = \"CTR-454234\"\nstatus = \"executed\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 76
}
|
[
{
"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 research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nPresident west knowledge rise professional. Member feel reveal early offer past day.,\"[{\"\"name\"\": \"\"Zachary Lara\"\", \"\"affiliation\"\": \"\"Nelson-Sullivan\"\", \"\"email\"\": \"\"xmueller@example.org\"\"}, {\"\"name\",489,,arXiv:2021.41887,10.2578/ZXLq,Cell,2020,\r\nWeight large sure avoid use. Body reality plan back actually name. Suggest fight instead go if may l,\"[{\"\"name\"\": \"\"Joseph Jimenez\"\", \"\"affiliation\"\": \"\"Meza-Maldonado\"\", \"\"email\"\": \"\"veronica82@example.net\"\"}, {\"\"n\",276,\"[\"\"tree\"\", \"\"chair\"\", \"\"her\"\", \"\"trade\"\", \"\"view\"\"]\",arXiv:2023.61109,10.1332/QupM,Science,2020,Fully-configurable regional contingency\r\nLawyer professional wide north blue to thank situation. Answer road environment seek writer key cent,\"[{\"\"name\"\": \"\"Anthony Howard\"\", \"\"affiliation\"\": \"\"Barker and Sons\"\", \"\"email\"\": \"\"rachel84@example.net\"\"}, {\"\"na\",169,\"[\"\"range\"\", \"\"road\"\", \"\"ability\"\", \"\"always\"\"]\",arXiv:2021.54690,10.5227/TkLH,Science,2022,Streamlined high-level website\r\nGuess visit few far money question. Experience ahead debate behavior image.,\"[{\"\"name\"\": \"\"Erin Mills\"\", \"\"affiliation\"\": \"\"Rodriguez-Moore\"\", \"\"email\"\": \"\"courtney44@example.com\"\"}, {\"\"name\",57,\"[\"\"voice\"\", \"\"follow\"\", \"\"mind\"\", \"\"step\"\", \"\"staff\"\"]\",arXiv:2024.86936,10.3640/NhXo,Cell,2022,Re-engineered modular Local Area Network\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 408
}
|
[
{
"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 financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report 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\n\nOutput:\ncompany: Allen-Hoffman\nticker: WGZM\nquarter: Q3 2023\nrevenue: 64799845\nexpenses: 24602232\nnet_income: 8028294\neps: 0.93\nmetrics:\n profit_margin: 28.43\n roe: 8.33\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 102
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate news article data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"article_id\": \"ART-6507648\",\n \"headline\": \"Devolved local hub\",\n \"author\": \"Tammy Barber\",\n \"published\": \"2026-01-01T10:39:48.127639\",\n \"section\": \"Sports\",\n \"content\": \"Thing industry also information hold education. Health then machine parent identify.\\nSystem not reach since detail tax attack. Go record policy lay cover history.\\nSeries state free young everybody then perform. Any until cause usually. Note professional explain policy agreement.\",\n \"tags\": [\n \"fact\",\n \"everybody\",\n \"agreement\",\n \"company\"\n ],\n \"views\": 49050,\n \"shares\": 1820\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 204
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"code\": \"ZFZ491\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"card\"\n },\n {\n \"week\": 2,\n \"topic\": \"group\"\n },\n {\n \"week\": 3,\n \"topic\": \"field\"\n },\n {\n \"week\": 4,\n \"topic\": \"current\"\n },\n {\n \"week\": 5,\n \"topic\": \"other\"\n },\n {\n \"week\": 6,\n \"topic\": \"maintain\"\n },\n {\n \"week\": 7,\n \"topic\": \"answer\"\n },\n {\n \"week\": 8,\n \"topic\": \"car\"\n },\n {\n \"week\": 9,\n \"topic\": \"lawyer\"\n }\n ],\n \"course_id\": \"CRS-4284\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 199
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate social media post data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nuser_id = \"229fbf14-af2a-4eb8-9b38-b9f11a42b051\"\nplatform = \"facebook\"\ncontent = \"Likely a there recent animal visit never. Congress with I. South already sure important.\\nMight people cover anything. Education situation kind owner.\"\npost_id = \"POST-85452491\"\nusername = \"fosterchristian\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 131
}
|
[
{
"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 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\n\nOutput:\ncategory,currency,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,Digitized grid-enabled infrastructure,988.58,PROD-211256,3.23,168,97x36x87cm,16.58,428\r\nbooks,USD,Adaptive client-driven matrix,432.14,PROD-687689,2.29,956,38x20x31cm,7.63,830\r\nclothing,USD,Persevering background support,248.68,PROD-192347,4.35,993,63x14x59cm,21.5,108\r\nbooks,USD,Focused fault-tolerant leverage,169.72,PROD-526010,2.77,246,78x84x99cm,34.06,312\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 177
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: 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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>cb5a37ce-f3e4-475c-8998-cde42de0eab8</error_id>\n<timestamp>2026-01-04T10:26:54.092962</timestamp>\n<level>ERROR</level>\n<service>generalService</service>\n<message>Music good reality expert similar character theory.</message>\n<stack_trace>at firm.py:447</stack_trace>\n<stack_trace>at fine.py:142</stack_trace>\n<context>\n<user_id>955b3bbb-a716-4190-bf6f-509a0a52a429</user_id>\n<request_id>948f15a3-3094-4de2-99f4-ecd9df3b83a7</request_id>\n</context>\n</error_log>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 189
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate prescription data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"rx_id\": \"RX-4379486\",\n \"patient_mrn\": \"MRN-269402\",\n \"prescriber\": \"Mckenzie Ellison\",\n \"date\": \"2026-01-01\",\n \"medications\": [\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"20mg\",\n \"frequency\": \"TID\",\n \"quantity\": 60\n },\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"5mg\",\n \"frequency\": \"daily\",\n \"quantity\": 90\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "prescription",
"estimated_tokens": 153
}
|
[
{
"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 research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.39055</paper_id>\n<title>Seamless client-server service-desk</title>\n<authors>\n<name>David Rose</name>\n<affiliation>Clark-Martinez</affiliation>\n<email>davidblack@example.net</email>\n</authors>\n<authors>\n<name>Mark Friedman</name>\n<affiliation>Strickland PLC</affiliation>\n<email>sheilaclark@example.org</email>\n</authors>\n<abstract>Science child specific present. So ask just black. Market technology he purpose study stage its.</abstract>\n<keywords>cover</keywords>\n<keywords>hundred</keywords>\n<keywords>officer</keywords>\n<keywords>you</keywords>\n<keywords>sense</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.6204/EGMr</doi>\n</publication>\n<citations>217</citations>\n</research_paper>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 257
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of research paper."
},
{
"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\n\nOutput:\nabstract: Cause eight still. Nothing six fire both. Main tough make figure page in\n leg challenge.\nkeywords:\n- like\n- natural\n- way\nauthors:\n- name: Melanie Holt\n affiliation: Suarez, Curtis and Aguirre\n email: brian75@example.net\n- name: Samuel Dawson\n affiliation: Winters Inc\n email: donald89@example.org\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 140
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output customer review as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nreview_id: REV-9934282\nproduct_id: PROD-165745\nuser_id: aa99f580-ec6b-4242-8367-a54ea53115ef\nrating: 1\ntitle: Toward guess chance Democrat hope.\ncontent: Partner wrong opportunity dinner clearly car. Reflect world chair final area.\n Exist theory certainly.\ndate: '2026-01-01'\nverified_purchase: false\nhelpful_votes: 84\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 141
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate clinical note data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3375303</note_id>\n<patient>\n<mrn>MRN-702723</mrn>\n<age>85</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>170/63</bp>\n<hr>86</hr>\n<temp_f>99.0</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I22</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I34</icd10>\n</assessment>\n</clinical_note>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 181
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output transaction record as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"timestamp\": \"2026-01-04T10:26:54.550036\",\n \"tax\": 156.5,\n \"subtotal\": 1562.98,\n \"total\": 1325.89,\n \"customer_id\": \"0d9ba899-5087-4528-955e-0432265679c1\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 103
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate student assessment data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"assessment_id\": \"ASMT-118337\",\n \"student_id\": \"STU-998354\",\n \"course_id\": \"CRS-1074\",\n \"type\": \"quiz\",\n \"date\": \"2026-01-03\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 8,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 1,\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\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 4,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 4,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 8,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 9,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 10,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 11,\n \"points_earned\": 5,\n \"points_possible\": 10\n },\n {\n \"question\": 12,\n \"points_earned\": 10,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 69,\n \"percentage\": 82.29,\n \"grade\": \"B\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 381
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate error log data in TOML format."
},
{
"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\n\nOutput:\nerror_id = \"2756dfe0-0f07-40c9-91e7-9e26a587d171\"\ntimestamp = \"2026-01-04T10:26:54.911666\"\nlevel = \"WARNING\"\nservice = \"boyService\"\nmessage = \"Fear boy board Congress usually ok.\"\nstack_trace = [ \"at their.py:436\", \"at bit.py:180\", \"at interesting.py:286\", \"at themselves.py:399\",]\n\n[context]\nuser_id = \"609d74c9-2acc-49d1-a81b-7e127eba1056\"\nrequest_id = \"d132d14a-eeb3-43b6-b14e-a905b53d7cf8\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 154
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate news article data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"article_id\": \"ART-3700620\",\n \"headline\": \"Expanded dedicated parallelism\",\n \"author\": \"Veronica Booker\",\n \"published\": \"2026-01-02T04:13:19.588203\",\n \"section\": \"Tech\",\n \"content\": \"Fear girl particular might.\\nSeat method worker begin. Firm people land such enough create.\\nCell return ready sign million into meeting. Hundred surface seem hour hundred go. Spring base born her remember enough raise.\",\n \"tags\": [\n \"back\",\n \"result\",\n \"every\",\n \"as\",\n \"them\"\n ],\n \"views\": 12334,\n \"shares\": 3408\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 191
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of clinical note."
},
{
"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\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\"\": \"\"I44\"\"}]\",fever,2026-01-03,CN-6415626,72,M,MRN-335049,168/101,116,102.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I98\"\"}]\",headache,2026-01-01,CN-9549002,88,M,MRN-574811,137/77,83,100.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J10\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I61\"\"}]\",fever,2026-01-03,CN-9954765,79,F,MRN-843508,149/107,81,98.8\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 189
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"experiment_id\": \"EXP-587389\",\n \"title\": \"Effect of reason on fund\",\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 81,\n \"duration_days\": 154\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 98.5,\n \"endpoint\": 43.88,\n \"p_value\": 0.1434\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 42.81,\n \"endpoint\": 61.57,\n \"p_value\": 0.1428\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 36.58,\n \"endpoint\": 32.07,\n \"p_value\": 0.0692\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 83.32,\n \"endpoint\": 74.47,\n \"p_value\": 0.0444\n }\n ],\n \"conclusion\": \"non-significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 231
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate sales analytics data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nunits_sold = 91448\nperiod = \"September 2021\"\ntotal_revenue = 1516063\n[[top_products]]\nsku = \"SKU-2340\"\nsales = 411320\n\n[[top_products]]\nsku = \"SKU-2970\"\nsales = 489928\n\n[[top_products]]\nsku = \"SKU-6346\"\nsales = 229112\n\n[[channels]]\nname = \"retail\"\nrevenue = 3217445\ngrowth = -0.86\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 2347436\ngrowth = 47.73\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "sales_analytics",
"estimated_tokens": 145
}
|
[
{
"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 contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nterm_months: 33\nvalue: 552971\nparties:\n- name: Horton Group\n role: party_a\n- name: Zimmerman, Walton and Mclaughlin\n role: party_b\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 93
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate social media post data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"post_id\": \"POST-15418581\",\n \"platform\": \"instagram\",\n \"username\": \"marcuswhite\",\n \"hashtags\": [\n \"#food\",\n \"#bit\"\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 95
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output prescription as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: 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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-8603952</rx_id>\n<patient_mrn>MRN-414616</patient_mrn>\n<prescriber>Logan Hicks</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "prescription",
"estimated_tokens": 171
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-364024\"\nstudent_id = \"STU-683015\"\ndate = \"2026-01-01\"\npercentage = 64.18\n[[scores]]\nquestion = 1\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 14\npoints_earned = 9\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 308
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output transaction record as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntxn_id = \"TXN-98439135\"\ncustomer_id = \"c397c838-3e97-4a43-95e9-b954f4e10c02\"\ntimestamp = \"2026-01-04T10:26:54.699894\"\nsubtotal = 1948.01\ntax = 31.97\ntotal = 199.77\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-96989\"\nqty = 5\nprice = 428.11\n\n[[items]]\nsku = \"SKU-20715\"\nqty = 5\nprice = 464.6\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "transaction_record",
"estimated_tokens": 131
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output clinical note as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: 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\n\nOutput:\nabstract,assessment,authors,citations,keywords,paper_id,patient_age,patient_gender,patient_mrn,publication_doi,publication_venue,publication_year,title,vitals_bp,vitals_hr,vitals_temp_f\r\n,\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J27\"\"}]\",,,,,70,M,MRN-395586,,,,,170/72,103,101.6\r\n\"Trial board result phone trip. Address recently door start whole.\nFinancial start concern. Significa\",,\"[{\"\"name\"\": \"\"Charles Mendez\"\", \"\"affiliation\"\": \"\"Richardson-Jones\"\", \"\"email\"\": \"\"robertalvarez@example.com\"\"}\",249,\"[\"\"method\"\", \"\"reflect\"\", \"\"administration\"\", \"\"body\"\", \"\"they\"\"]\",arXiv:2022.18322,,,,10.3933/CNIK,Cell,2024,Integrated client-driven analyzer,,,\r\nInteresting country spend these again media manager. View thousand card evening bring local agent op,,\"[{\"\"name\"\": \"\"Kiara Powell\"\", \"\"affiliation\"\": \"\"Campbell Inc\"\", \"\"email\"\": \"\"gary49@example.net\"\"}, {\"\"name\"\": \"\"S\",47,\"[\"\"she\"\", \"\"find\"\", \"\"activity\"\"]\",arXiv:2020.67437,,,,10.6518/vpJu,Cell,2020,Multi-channeled reciprocal success,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 310
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate course syllabus data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: 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\n\nOutput:\nabstract,authors,citations,credits,grading_final,grading_homework,grading_midterm,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,,,4,40,30,30,,,,,,Open-architected holistic challenge 101\r\nElse nothing either fill. Mrs hotel once environment camera number billion.,\"[{\"\"name\"\": \"\"Todd Blair\"\", \"\"affiliation\"\": \"\"Marshall-Barber\"\", \"\"email\"\": \"\"martinsamantha@example.net\"\"}, {\"\"\",301,,,,,\"[\"\"tend\"\", \"\"camera\"\", \"\"out\"\", \"\"but\"\"]\",arXiv:2024.97668,10.8403/uSAT,Science,2020,De-engineered multi-state success\r\nChoice size physical arrive tend series call public. Executive order various page nation.,\"[{\"\"name\"\": \"\"Sandra Thompson\"\", \"\"affiliation\"\": \"\"Roberts, Taylor and Nelson\"\", \"\"email\"\": \"\"onguyen@example.\",72,,,,,\"[\"\"never\"\", \"\"drop\"\", \"\"resource\"\", \"\"generation\"\"]\",arXiv:2024.95666,10.5214/Hywd,Science,2021,Diverse empowering moratorium\r\nNotice team rate do environment television. Ten cut over pretty speak. It institution evening treatm,\"[{\"\"name\"\": \"\"Nicole Ruiz\"\", \"\"affiliation\"\": \"\"Stanton Ltd\"\", \"\"email\"\": \"\"normanschneider@example.net\"\"}, {\"\"na\",272,,,,,\"[\"\"economic\"\", \"\"where\"\", \"\"relationship\"\", \"\"later\"\"]\",arXiv:2023.25051,10.1399/gNUK,Cell,2020,Synergistic global adapter\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 368
}
|
[
{
"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\n\nOutput:\nresult_id: LAB-1633161\npatient_mrn: MRN-978652\norder_date: '2026-01-03'\npanel: CMP\nresults:\n- test: Glucose\n value: 128.6\n unit: mg/dL\n flag: high\n- test: WBC\n value: 100.9\n unit: g/dL\n flag: high\n- test: WBC\n value: 167.0\n unit: g/dL\n flag: normal\n- test: Hemoglobin\n value: 165.1\n unit: mg/dL\n flag: normal\n- test: Glucose\n value: 84.5\n unit: mg/dL\n flag: normal\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 154
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate clinical note data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note 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\n\nOutput:\n{\n \"note_id\": \"CN-2142477\",\n \"assessment\": [\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"J46\"\n },\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"K47\"\n },\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"J82\"\n }\n ],\n \"vitals\": {\n \"bp\": \"146/81\",\n \"hr\": 70,\n \"temp_f\": 97.0\n },\n \"chief_complaint\": \"chest pain\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 150
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-788500,observational,44,994,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 55.2, \"\"endpoint\"\": 89.71, \"\"p_value\"\": 0.1227}, {\"\"metric\"\": \"\"efficac\",Effect of old on scene\r\nnon-significant,EXP-642818,observational,289,685,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 19.94, \"\"endpoint\"\": 22.79, \"\"p_value\"\": 0.4767}, {\"\"metric\"\": \"\"safety\",Effect of she on price\r\nsignificant,EXP-746348,cohort,353,694,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 64.38, \"\"endpoint\"\": 33.44, \"\"p_value\"\": 0.0416}, {\"\"metric\"\": \"\"effica\",Effect of dream on improve\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 227
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate research paper data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,,252,\"[\"\"air\"\", \"\"exist\"\", \"\"at\"\", \"\"one\"\"]\",arXiv:2023.69304,10.2236/oFgT,Cell,2021,Phased intermediate solution\r\nThink describe environment little reason to write. Market word American single down. Model huge offi,\"[{\"\"name\"\": \"\"Emily Downs\"\", \"\"affiliation\"\": \"\"Leonard and Sons\"\", \"\"email\"\": \"\"rgarcia@example.org\"\"}, {\"\"name\"\"\",345,\"[\"\"American\"\", \"\"artist\"\", \"\"father\"\"]\",arXiv:2024.61305,10.3236/ykVP,Nature,2020,Upgradable incremental Graphical User Interface\r\nArt still affect hold later owner medical believe. Record sit region where single.,\"[{\"\"name\"\": \"\"Debra Lindsey\"\", \"\"affiliation\"\": \"\"Anderson-Richardson\"\", \"\"email\"\": \"\"slandry@example.com\"\"}, {\"\"\",122,\"[\"\"condition\"\", \"\"food\"\", \"\"most\"\"]\",arXiv:2023.92225,10.2826/vmtO,Nature,2023,Total heuristic complexity\r\nIndicate term require exist. Sense matter sing glass certain hit part.,\"[{\"\"name\"\": \"\"Joseph Roberts\"\", \"\"affiliation\"\": \"\"Torres PLC\"\", \"\"email\"\": \"\"cynthiagonzales@example.net\"\"}, {\"\"\",433,\"[\"\"similar\"\", \"\"service\"\", \"\"hospital\"\"]\",arXiv:2020.42381,10.9416/UEzL,Nature,2023,Public-key holistic portal\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 358
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"post_id\": \"POST-38921738\",\n \"platform\": \"twitter\",\n \"user_id\": \"f26e1fef-d16f-4d93-919b-04d3e3b393d2\",\n \"username\": \"jessicapowers\",\n \"content\": \"Nothing ok already table piece involve. Bar song exist whether.\\nEnter finish guess find film common meet. Generation fear middle either next federal.\",\n \"timestamp\": \"2026-01-04T10:26:54.530457\",\n \"hashtags\": [\n \"#total\",\n \"#writer\"\n ],\n \"engagement\": {\n \"likes\": 8987,\n \"shares\": 48,\n \"comments\": 228\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 182
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output error log as YAML."
},
{
"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\n\nOutput:\nerror_id: 368828d0-cf7c-48fc-a310-808c7cbb4ab9\ntimestamp: '2026-01-04T10:26:53.968525'\nlevel: ERROR\nservice: nearlyService\nmessage: Sell once analysis dinner.\nstack_trace:\n- at nor.py:27\n- at speech.py:318\ncontext:\n user_id: 78e352e4-cc98-43f1-8a97-38ac48e0bc25\n request_id: 884271e4-7a68-4e37-b377-68f3f2066c5a\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 138
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate api specification data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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\n\nOutput:\nabstract,authors,citations,info_title,info_version,keywords,openapi,paper_id,paths_/player_get_parameters,paths_/player_get_responses_200_description,paths_/player_get_responses_400_description,paths_/player_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,Proactive global protocol API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Ask amount give television month painting.,,,,\r\n\"Another mother difference rate left political capital. Reflect happy really season executive some.\nF\",\"[{\"\"name\"\": \"\"Diane Austin\"\", \"\"affiliation\"\": \"\"Herman, Alexander and Miller\"\", \"\"email\"\": \"\"hoffmanjohn@examp\",139,,,\"[\"\"politics\"\", \"\"cut\"\", \"\"line\"\", \"\"mission\"\", \"\"environment\"\"]\",,arXiv:2024.19883,,,,,10.1479/TmWu,Cell,2020,Optimized attitude-oriented productivity\r\n\"Direction order style add. Add provide myself.\nAbout source other writer board thousand. Little eith\",\"[{\"\"name\"\": \"\"Gregory Lopez\"\", \"\"affiliation\"\": \"\"Cherry-Moore\"\", \"\"email\"\": \"\"ahendricks@example.com\"\"}, {\"\"name\",130,,,\"[\"\"professor\"\", \"\"never\"\", \"\"moment\"\", \"\"day\"\"]\",,arXiv:2021.85287,,,,,10.6000/oUcK,Cell,2021,Focused actuating neural-net\r\nHusband blood develop total mention effect together. We decide for research style remember. Environm,\"[{\"\"name\"\": \"\"Veronica Clark\"\", \"\"affiliation\"\": \"\"Chavez, Sanchez and Middleton\"\", \"\"email\"\": \"\"pcruz@example.\",216,,,\"[\"\"support\"\", \"\"pressure\"\", \"\"might\"\", \"\"wonder\"\", \"\"apply\"\"]\",,arXiv:2023.45384,,,,,10.9302/dOWH,Nature,2020,Function-based 6thgeneration open architecture\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "api_specification",
"estimated_tokens": 468
}
|
[
{
"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: 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\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nTerm theory up cell learn enter wide. Up section international either beyond seem interest. Executiv,434,3904,717,\"[\"\"#chair\"\", \"\"#long\"\", \"\"#item\"\"]\",instagram,POST-37639795,2026-01-04T10:26:54.570380,0912b10c-c422-47f5-bca3-2aee657a4e28,zvega\r\n\"Interview black everyone run service.\nStrategy within next. Control box nation pull director son fin\",308,1844,93,\"[\"\"#choice\"\", \"\"#though\"\", \"\"#without\"\", \"\"#successful\"\"]\",facebook,POST-40211608,2026-01-04T10:26:54.571815,14033b81-cb5f-4085-b180-e0bc1eaa5d42,karen44\r\nTreatment movement employee reason economy feeling professional win. Represent floor participant. Ac,383,1804,47,\"[\"\"#nation\"\", \"\"#ground\"\"]\",instagram,POST-51935022,2026-01-04T10:26:54.572297,63e1eda1-0326-409f-8052-430d290f60e0,watsonstephanie\r\nToday protect color dream. Church operation eight bill approach design. Sister read kind produce rem,498,2279,656,\"[\"\"#get\"\", \"\"#hair\"\", \"\"#cost\"\"]\",facebook,POST-97818661,2026-01-04T10:26:54.572671,3e06f6a2-8d87-4396-8330-8c5b465486ae,combsjamie\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 342
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output error log as YAML."
},
{
"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\n\nOutput:\nerror_id: 31b87524-77e5-4bb9-96e7-09a11104b4c0\ntimestamp: '2026-01-04T10:26:54.118981'\nlevel: ERROR\nservice: officeService\nmessage: Design direction most reach as same.\nstack_trace:\n- at fine.py:322\n- at story.py:159\n- at father.py:453\n- at education.py:56\ncontext:\n user_id: dd7d477b-2e42-45c1-b4eb-9690a858f21a\n request_id: 734742e2-2f36-4818-b3db-1fca024174dc\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 151
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output social media post as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npost_id = \"POST-51689240\"\nplatform = \"instagram\"\nuser_id = \"4bce9df2-9b55-479a-b1d0-063cd198cd83\"\nusername = \"schneidermegan\"\ncontent = \"Decision best strategy sound produce clear. Military easy detail nothing. Account black west knowledge effect herself.\"\ntimestamp = \"2026-01-04T10:26:53.905159\"\nhashtags = [ \"#piece\", \"#weight\",]\n\n[engagement]\nlikes = 9633\nshares = 22\ncomments = 396\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 154
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate error log data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"context\": {\n \"user_id\": \"bcd5edda-9b8d-43a8-8348-032fb7c59fa6\",\n \"request_id\": \"83816b18-d22b-4b8d-88b1-02a0680d1a05\"\n },\n \"stack_trace\": [\n \"at local.py:152\",\n \"at property.py:322\",\n \"at ever.py:291\"\n ],\n \"message\": \"Any laugh shake main.\",\n \"error_id\": \"e6a6eefc-67c8-4c58-8f8f-af0d745082d1\",\n \"level\": \"WARNING\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "error_log",
"estimated_tokens": 146
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate clinical note data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note 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\n\nOutput:\n{\n \"note_id\": \"CN-3375303\",\n \"patient\": {\n \"mrn\": \"MRN-702723\",\n \"age\": 85,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-02\",\n \"chief_complaint\": \"fever\",\n \"vitals\": {\n \"bp\": \"170/63\",\n \"hr\": 86,\n \"temp_f\": 99.0\n },\n \"assessment\": [\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"I22\"\n },\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"I34\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 160
}
|
[
{
"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 api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Grass-roots reciprocal project API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</create>\n<get>\n<summary>Chair always card anyone possible central system s</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>{'description': 'Success'}</200>\n<400>{'description': 'Bad Request'}</400>\n</responses>\n</get>\n<//create>\n</paths>\n</api_specification>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "api_specification",
"estimated_tokens": 227
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate news article data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<section>Business</section>\n<headline>Visionary stable moratorium</headline>\n<shares>1430</shares>\n<content>Service not run away. Such it market far party. Good wish nature front window.\nPartner write charge might Mrs certainly. Task be probably situation.\nTravel position choose. Goal when sign pressure foot respond wind. Spring cold last travel loss over.</content>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 170
}
|
[
{
"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: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nterm: Fall 2021\ncode: LGA479\ntitle: Streamlined global approach 101\ngrading:\n homework: 30\n midterm: 30\n final: 40\nschedule:\n- week: 1\n topic: debate\n- week: 2\n topic: every\n- week: 3\n topic: ready\n- week: 4\n topic: listen\n- week: 5\n topic: candidate\n- week: 6\n topic: interest\n- week: 7\n topic: actually\n- week: 8\n topic: near\n- week: 9\n topic: stuff\n- week: 10\n topic: energy\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 159
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output news article as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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\n\nOutput:\ntags = [ \"kitchen\", \"page\", \"reason\", \"just\",]\nshares = 1614\nauthor = \"Brianna Burton MD\"\ncontent = \"Risk dinner ahead son front finish. Including painting will police. Offer around among technology whatever public.\\nWrite usually letter herself wall. Ground tax board ahead. East detail arrive include how probably.\"\narticle_id = \"ART-4847870\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 144
}
|
[
{
"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: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nspecs:\n weight_kg: 12.71\n dimensions: 94x94x80cm\nprice: 475.48\nname: Innovative eco-centric middleware\ncategory: electronics\nproduct_id: PROD-872365\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "product_listing",
"estimated_tokens": 99
}
|
[
{
"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\n\nOutput:\nerror_id = \"d99f9c53-a9b2-41ce-ab59-1afac589b39b\"\ntimestamp = \"2026-01-04T10:26:53.962958\"\nlevel = \"WARNING\"\nservice = \"blackService\"\nmessage = \"It administration three nearly win owner.\"\nstack_trace = [ \"at benefit.py:399\", \"at family.py:277\",]\n\n[context]\nuser_id = \"ee6593c3-f8f8-4732-99e8-a52589e74031\"\nrequest_id = \"af7e923e-cbcb-40de-b270-524fdb57e80d\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 145
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output lab result as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result 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\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,CMP,MRN-804327,LAB-6054410,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 178.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 81.2, \"\"un\"\r\n2026-01-01,CMP,MRN-260716,LAB-8826275,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 100.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 82.6,\"\r\n2026-01-03,CBC,MRN-385317,LAB-9591348,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 134.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"valu\"\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 192
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"views\": 7895,\n \"shares\": 3810,\n \"tags\": [\n \"standard\",\n \"themselves\",\n \"hold\",\n \"western\",\n \"camera\"\n ],\n \"author\": \"Michelle Delgado PhD\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 102
}
|
[
{
"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: 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\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,c3ae320d-1a30-4316-997d-01729eb8cfe5,813d888c-4c54-4034-87ad-b3f7137fbdd2,41363dd0-a880-49b9-9661-ce71926bc76e,,ERROR,Own seem fund.,,,,,figureService,\"[\"\"at particular.py:487\"\", \"\"at paper.py:40\"\", \"\"at compare.py:83\"\"]\",2026-01-04T10:26:54.004849,\r\n\"Fast money challenge possible community government.\nStage discover figure authority environment once\",\"[{\"\"name\"\": \"\"Edward Hines\"\", \"\"affiliation\"\": \"\"Ray, Miller and Barnett\"\", \"\"email\"\": \"\"angelataylor@example.o\",482,,,,\"[\"\"week\"\", \"\"draw\"\", \"\"benefit\"\"]\",,,arXiv:2022.43240,10.5618/EiQH,Nature,2021,,,,Right-sized encompassing project\r\nAudience scientist situation president. Energy enjoy edge others thus southern. Of ok international ,\"[{\"\"name\"\": \"\"Eric Vasquez\"\", \"\"affiliation\"\": \"\"Mcdaniel PLC\"\", \"\"email\"\": \"\"grossjonathan@example.org\"\"}, {\"\"na\",281,,,,\"[\"\"new\"\", \"\"source\"\", \"\"brother\"\"]\",,,arXiv:2020.32535,10.1031/eWCS,Science,2024,,,,Adaptive impactful moratorium\r\nWill lose score though arrive where pressure. Participant either field common run culture. Rich my e,\"[{\"\"name\"\": \"\"Leslie Phillips\"\", \"\"affiliation\"\": \"\"Webb, Murphy and Hernandez\"\", \"\"email\"\": \"\"stevenhoffman@ex\",162,,,,\"[\"\"medical\"\", \"\"take\"\", \"\"station\"\", \"\"miss\"\", \"\"stuff\"\"]\",,,arXiv:2024.66909,10.6234/DgXw,Nature,2022,,,,Integrated solution-oriented standardization\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 433
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output experiment result as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: 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\n\nOutput:\nexperiment_id: EXP-661641\ntitle: Effect of answer on bar\nmethodology:\n design: cohort\n sample_size: 799\n duration_days: 37\nresults:\n- metric: efficacy\n baseline: 49.87\n endpoint: 64.67\n p_value: 0.2103\n- metric: safety\n baseline: 23.95\n endpoint: 53.03\n p_value: 0.371\nconclusion: significant\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "experiment_result",
"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 customer review."
},
{
"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\n\nOutput:\nabstract,authors,citations,content,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title,user_id\r\n,,,Simple such Mr now blood big rest. Daughter develop live feel recent kid office develop. Mention qua,,,,,,5,,1bbe6dc2-7df7-4b55-9b7e-5dfcd98e9c35\r\nPressure third edge spring day seven data. Building parent standard admit.,\"[{\"\"name\"\": \"\"Kara Roberts\"\", \"\"affiliation\"\": \"\"Christensen PLC\"\", \"\"email\"\": \"\"jaredphillips@example.net\"\"}, {\",48,,\"[\"\"lose\"\", \"\"serve\"\", \"\"six\"\", \"\"woman\"\"]\",arXiv:2022.79033,10.6710/cQTz,Science,2020,,Down-sized high-level portal,\r\n\"Serve bit paper table. Person spend visit just.\nEven avoid eat source popular. Industry few sell boo\",\"[{\"\"name\"\": \"\"Brian Turner\"\", \"\"affiliation\"\": \"\"Mann Ltd\"\", \"\"email\"\": \"\"davidhurley@example.net\"\"}, {\"\"name\"\": \"\"\",315,,\"[\"\"site\"\", \"\"spring\"\", \"\"need\"\", \"\"chance\"\", \"\"leave\"\"]\",arXiv:2022.28482,10.6506/FIVq,Nature,2023,,Triple-buffered zero-defect time-frame,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "customer_review",
"estimated_tokens": 300
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate research paper data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,\"[{\"\"name\"\": \"\"Matthew Smith\"\", \"\"affiliation\"\": \"\"Oneal-Day\"\", \"\"email\"\": \"\"george53@example.com\"\"}, {\"\"name\"\": \"\"D\",323,\"[\"\"probably\"\", \"\"race\"\", \"\"head\"\", \"\"six\"\", \"\"everyone\"\"]\",arXiv:2021.93916,10.4600/TnwX,Cell,2022,\r\nOne baby partner store system move history way. Similar amount pretty election degree positive.,\"[{\"\"name\"\": \"\"Ian Avila\"\", \"\"affiliation\"\": \"\"Erickson and Sons\"\", \"\"email\"\": \"\"beckyunderwood@example.net\"\"}, {\",485,\"[\"\"believe\"\", \"\"maintain\"\", \"\"cost\"\", \"\"from\"\"]\",arXiv:2023.11246,10.2112/mLcX,Cell,2021,Self-enabling cohesive protocol\r\n\"Agency artist under. Course kid simply who financial.\nMedical study no. Institution our trial agains\",\"[{\"\"name\"\": \"\"Brenda Phillips\"\", \"\"affiliation\"\": \"\"Rivers, Castro and Gonzalez\"\", \"\"email\"\": \"\"carla50@example\",60,\"[\"\"stock\"\", \"\"cultural\"\", \"\"front\"\", \"\"window\"\", \"\"second\"\"]\",arXiv:2024.55694,10.9033/VDZK,Nature,2023,Reactive tertiary groupware\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 316
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: 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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-70042733</post_id>\n<platform>twitter</platform>\n<user_id>1cb88433-eb3d-4312-b057-c40813e79586</user_id>\n<username>manuel15</username>\n<content>Successful discover national fall write left tree. Paper story cause surface season read. Follow laugh factor room occur claim north. Garden do interview former soon tax sometimes tell.</content>\n<timestamp>2026-01-04T10:26:53.949447</timestamp>\n<hashtags>#meet</hashtags>\n<hashtags>#college</hashtags>\n<engagement>\n<likes>4547</likes>\n<shares>209</shares>\n<comments>275</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "social_media_post",
"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": "Output news article as YAML."
},
{
"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\n\nOutput:\nheadline: Adaptive 24hour challenge\npublished: '2026-01-02T08:54:49.446703'\nauthor: Jeremy Sanchez\narticle_id: ART-7016279\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 92
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"effective_date\": \"2026-01-01\",\n \"parties\": [\n {\n \"name\": \"Ortega and Sons\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Cannon-Reed\",\n \"role\": \"party_b\"\n }\n ],\n \"term_months\": 21,\n \"status\": \"executed\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "contract",
"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": "Output customer review as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"review_id\": \"REV-8797534\",\n \"product_id\": \"PROD-813572\",\n \"user_id\": \"1895cba8-aa84-44d2-aab3-339611b009e1\",\n \"rating\": 5,\n \"title\": \"Miss organization huge thank save keep be.\",\n \"content\": \"Everyone two ready prepare camera body. Possible pattern population young.\\nBeat others chance build man page. Teach people crime person.\",\n \"date\": \"2026-01-02\",\n \"verified_purchase\": true,\n \"helpful_votes\": 60\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "customer_review",
"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": "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\n\nOutput:\ncourse_id: CRS-2842\ncode: HFF300\ntitle: Fully-configurable systematic success 101\ninstructor: Leonard Burns\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n topic: both\n- week: 2\n topic: would\n- week: 3\n topic: military\n- week: 4\n topic: today\n- week: 5\n topic: enter\n- week: 6\n topic: mother\n- week: 7\n topic: bad\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 154
}
|
[
{
"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: 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\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"paths\": {\n \"/behavior\": {\n \"get\": {\n \"summary\": \"Beautiful manage pattern.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n },\n \"info\": {\n \"title\": \"Compatible attitude-oriented benchmark API\",\n \"version\": \"1.0.0\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "api_specification",
"estimated_tokens": 229
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output financial report as XML."
},
{
"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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Taylor-Brown</company>\n<ticker>RATQ</ticker>\n<quarter>Q2 2020</quarter>\n<revenue>28691229</revenue>\n<expenses>14070360</expenses>\n<net_income>3513083</net_income>\n<eps>3.15</eps>\n<metrics>\n<profit_margin>10.88</profit_margin>\n<roe>12.86</roe>\n</metrics>\n</financial_report>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "financial_report",
"estimated_tokens": 145
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate course syllabus data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id: CRS-6643\ntitle: Quality-focused radical functionalities 101\nschedule:\n- week: 1\n topic: soldier\n- week: 2\n topic: hotel\n- week: 3\n topic: subject\n- week: 4\n topic: soldier\n- week: 5\n topic: federal\n- week: 6\n topic: people\n- week: 7\n topic: life\n- week: 8\n topic: painting\n- week: 9\n topic: answer\ncredits: 4\ncode: UHI417\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 147
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article 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\n\nOutput:\nauthor = \"Laura Greer\"\npublished = \"2026-01-03T18:59:29.160258\"\nviews = 30098\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 77
}
|
[
{
"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\n\nOutput:\nerror_id = \"db78254a-2701-4015-a01f-13a3d2030b1d\"\ntimestamp = \"2026-01-04T10:26:54.193151\"\nlevel = \"WARNING\"\nservice = \"ableService\"\nmessage = \"Door total body quality order.\"\nstack_trace = [ \"at true.py:402\", \"at top.py:70\", \"at share.py:274\", \"at argue.py:208\",]\n\n[context]\nuser_id = \"2aa2c398-28a0-4cd1-a5db-69942fdc0211\"\nrequest_id = \"db20884f-8173-4a7b-a6e6-78d5a17f4f11\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 150
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate student assessment data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-234843\"\nstudent_id = \"STU-323483\"\ncourse_id = \"CRS-2111\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 95\npercentage = 67.57\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 3\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 229
}
|
[
{
"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\n\nOutput:\nresult_id: LAB-7647463\npatient_mrn: MRN-989045\norder_date: '2026-01-02'\npanel: CMP\nresults:\n- test: Hemoglobin\n value: 51.4\n unit: mg/dL\n flag: low\n- test: WBC\n value: 86.5\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 108.5\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 135.5\n unit: g/dL\n flag: high\n- test: Hemoglobin\n value: 119.3\n unit: mg/dL\n flag: low\n- test: Hemoglobin\n value: 179.5\n unit: mg/dL\n flag: low\n- test: Glucose\n value: 178.9\n unit: mg/dL\n flag: low\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 185
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: 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\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-957069,cohort,154,834,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 55.8, \"\"endpoint\"\": 73.35, \"\"p_value\"\": 0.1591}, {\"\"metric\"\": \"\"safety\"\", \",Effect of impact on ahead\r\nsignificant,EXP-779335,observational,323,927,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 68.99, \"\"endpoint\"\": 98.45, \"\"p_value\"\": 0.3762}, {\"\"metric\"\": \"\"safety\",Effect of capital on head\r\nnon-significant,EXP-461421,observational,113,447,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 87.93, \"\"endpoint\"\": 49.86, \"\"p_value\"\": 0.3166}, {\"\"metric\"\": \"\"efficacy\",Effect of meeting on dog\r\nsignificant,EXP-407949,RCT,247,308,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 32.91, \"\"endpoint\"\": 63.16, \"\"p_value\"\": 0.3222}, {\"\"metric\"\": \"\"effica\",Effect of direction on nation\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 274
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output contract as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"contract_id\": \"CTR-962328\",\n \"parties\": [\n {\n \"name\": \"Johnson, Bell and Diaz\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Zamora LLC\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-01\",\n \"term_months\": 49,\n \"value\": 84993,\n \"status\": \"pending\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 131
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate contract data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncontract_id = \"CTR-746996\"\neffective_date = \"2026-01-03\"\nterm_months = 29\nvalue = 278553\nstatus = \"executed\"\n[[parties]]\nname = \"Williams-Vargas\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Hurley-Fleming\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 110
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate research paper data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"citations\": 419,\n \"title\": \"Advanced bottom-line interface\",\n \"abstract\": \"He stock fish several even bar expect. Live part necessary table soldier great her.\",\n \"authors\": [\n {\n \"name\": \"Adam Rivera\",\n \"affiliation\": \"Baker-Patel\",\n \"email\": \"jeffreywatkins@example.com\"\n },\n {\n \"name\": \"Samantha Nelson\",\n \"affiliation\": \"Small-Brown\",\n \"email\": \"matthewhamilton@example.org\"\n }\n ],\n \"keywords\": [\n \"possible\",\n \"join\",\n \"factor\",\n \"modern\",\n \"language\"\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 193
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output news article as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8808351,Robert Martinez,\"New age former. Early two provide feel say source.\nOfficer piece material physical opportunity. Per \",Proactive needs-based array,2026-01-02T01:03:12.045748,Business,3643,\"[\"\"across\"\", \"\"likely\"\", \"\"reality\"\"]\",8150\r\nART-4371367,James Goodwin,\"Sense call weight hundred time window.\nBorn director animal door. Detail student ok expect protect k\",Organic incremental info-mediaries,2026-01-01T08:54:02.473899,Sports,4289,\"[\"\"vote\"\", \"\"note\"\", \"\"lead\"\", \"\"only\"\", \"\"technology\"\"]\",21054\r\nART-9184135,Aaron Jackson,\"Night increase remember plan. Purpose up glass eight inside lot whole.\nNecessary indeed language mem\",Phased directional monitoring,2026-01-03T05:48:54.000331,Tech,450,\"[\"\"if\"\", \"\"understand\"\", \"\"might\"\"]\",79739\r\nART-4338330,Donna Maddox,\"Player property tell environmental smile color. House son nice ability war anyone we.\nIndustry half \",Front-line non-volatile leverage,2026-01-03T10:11:43.044338,Politics,1727,\"[\"\"individual\"\", \"\"religious\"\", \"\"community\"\", \"\"important\"\"]\",73890\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 334
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate customer review data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nreview_id = \"REV-5476228\"\nproduct_id = \"PROD-973073\"\nuser_id = \"1fc5ad72-d95c-4615-87f9-d2b4fd95c642\"\nrating = 2\ntitle = \"System why success us spring allow stuff Mr.\"\ncontent = \"Dream economic piece. Sure pattern stock reason can. May police analysis fly night.\\nCenter want candidate within make. Require he official cover. Hair community wear against reveal.\"\ndate = \"2026-01-03\"\nverified_purchase = true\nhelpful_votes = 69\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 164
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-247200\"\nstudent_id = \"STU-875284\"\ncourse_id = \"CRS-8025\"\ntype = \"quiz\"\ndate = \"2026-01-01\"\ntotal_score = 71\npercentage = 71.48\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 4\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 242
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<author>Laura Greer</author>\n<published>2026-01-03T18:59:29.160258</published>\n<views>30098</views>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 103
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: 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\n\nOutput:\n{\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 302,\n \"duration_days\": 132\n },\n \"experiment_id\": \"EXP-513436\",\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 50.78,\n \"endpoint\": 89.21,\n \"p_value\": 0.2533\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 63.4,\n \"endpoint\": 65.45,\n \"p_value\": 0.4304\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 157
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate course syllabus data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: 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\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-7729,4,40,30,30,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"ok\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"student\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"method\"\"}, {\"\"week\",,Pre-emptive didactic success 101\r\nMJP439,CRS-5844,3,40,30,30,Jennifer Smith,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"especially\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"future\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"detail\"\"},\",Spring 2024,Persevering optimizing definition 101\r\nBCJ437,CRS-1647,4,40,30,30,Margaret Chavez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"itself\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"give\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"very\"\"}, {\"\"week\"\"\",Fall 2022,Extended multi-state projection 101\r\nOZM310,CRS-3878,3,40,30,30,Aaron Gregory,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"yet\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"positive\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"stop\"\"}, {\"\"week\",Fall 2023,Multi-channeled system-worthy encryption 101\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "course_syllabus",
"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": "Output clinical note as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note 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\n\nOutput:\n{\n \"patient\": {\n \"mrn\": \"MRN-824812\",\n \"age\": 49,\n \"gender\": \"F\"\n },\n \"note_id\": \"CN-1018048\",\n \"chief_complaint\": \"fever\",\n \"encounter_date\": \"2026-01-02\",\n \"vitals\": {\n \"bp\": \"126/92\",\n \"hr\": 85,\n \"temp_f\": 97.7\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 122
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate course syllabus data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<term>Fall 2021</term>\n<code>LGA479</code>\n<title>Streamlined global approach 101</title>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<schedule>\n<week>1</week>\n<topic>debate</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>every</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>ready</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>listen</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>candidate</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>interest</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>actually</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>near</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>stuff</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>energy</topic>\n</schedule>\n</course_syllabus>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 274
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"contract_id\": \"CTR-444192\",\n \"parties\": [\n {\n \"name\": \"Green, Bell and Harris\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Young-Bentley\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-01\",\n \"term_months\": 53,\n \"value\": 344023,\n \"status\": \"pending\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 132
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate contract data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract 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\n\nOutput:\n{\n \"contract_id\": \"CTR-952703\",\n \"parties\": [\n {\n \"name\": \"Rodriguez LLC\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Bennett, David and Harris\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-01\",\n \"term_months\": 52,\n \"value\": 382869,\n \"status\": \"active\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "contract",
"estimated_tokens": 133
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-541088</assessment_id>\n<student_id>STU-619428</student_id>\n<course_id>CRS-2011</course_id>\n<type>exam</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>51</total_score>\n<percentage>65.7</percentage>\n<grade>B</grade>\n</student_assessment>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 422
}
|
[
{
"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: 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\n\nOutput:\nresult_id: LAB-4226379\npatient_mrn: MRN-561954\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Hemoglobin\n value: 113.4\n unit: g/dL\n flag: low\n- test: Glucose\n value: 110.3\n unit: mg/dL\n flag: normal\n- test: Hemoglobin\n value: 51.5\n unit: g/dL\n flag: normal\n- test: Hemoglobin\n value: 98.8\n unit: mg/dL\n flag: low\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 142
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate news article data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: 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\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-5425211,Stacey Rodriguez,,Optional uniform monitoring,,,435,,55319\r\nART-4097543,Susan Johnson,\"Special someone name area. Meeting property yet strategy.\nEvent support whose. Their our job radio p\",Configurable optimal conglomeration,2026-01-03T14:56:18.288388,Politics,2601,\"[\"\"particularly\"\", \"\"civil\"\", \"\"central\"\"]\",28612\r\nART-9990544,Deanna Jones,Clearly hear than piece admit left. Evening school stay appear have real amount I. Main citizen soon,Down-sized upward-trending capability,2026-01-02T23:53:16.571509,Politics,3356,\"[\"\"sell\"\", \"\"development\"\", \"\"democratic\"\", \"\"put\"\"]\",15496\r\nART-5851821,Earl Foster,Conference prevent break recently position summer. Administration lose building week individual tabl,Robust 4thgeneration collaboration,2026-01-01T17:12:36.003294,Sports,1530,\"[\"\"money\"\", \"\"kid\"\", \"\"fly\"\"]\",64784\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "news_article",
"estimated_tokens": 287
}
|
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