messages
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[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"August 2024\"\ntotal_revenue = 2493980\nunits_sold = 42293\n[[channels]]\nname = \"retail\"\nrevenue = 1731538\ngrowth = 19.74\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4707421\ngrowth = 25.28\n\n[[top_products]]\nsku = \"SKU-4259\"\nsales = 461117\n\n[[top_products]]\nsku = \"SKU-4056\"\nsales = 457473\n\n[[top_products]]\nsku = \"SKU-4682\"\nsales = 34457\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 160
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4931466\npatient_mrn: MRN-913279\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Glucose\n value: 141.5\n unit: mg/dL\n flag: normal\n- test: WBC\n value: 176.9\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 121.7\n unit: mg/dL\n flag: normal\n- test: Glucose\n value: 146.8\n unit: mg/dL\n flag: normal\n- test: WBC\n value: 187.2\n unit: mg/dL\n flag: low\n- test: WBC\n value: 123.5\n unit: mg/dL\n flag: normal\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 186
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-4601\ncode: GWP450\ntitle: Monitored optimal initiative 101\ninstructor: Ann Mcbride\ncredits: 3\nterm: Fall 2022\nschedule:\n- week: 1\n topic: past\n- week: 2\n topic: almost\n- week: 3\n topic: have\n- week: 4\n topic: compare\n- week: 5\n topic: way\n- week: 6\n topic: fear\n- week: 7\n topic: condition\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 168
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need experiment result details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresults:\n- metric: efficacy\n baseline: 23.53\n endpoint: 16.45\n p_value: 0.2406\n- metric: safety\n baseline: 97.51\n endpoint: 52.65\n p_value: 0.2701\nexperiment_id: EXP-305818\nmethodology:\n design: cohort\n sample_size: 363\n duration_days: 286\nconclusion: non-significant\ntitle: Effect of long on no\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 155
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate student assessment data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-254069,,CRS-7594,,2026-01-03,B,,,,,90.1,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 6, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-414136,,,84,exam\r\n,UXC386,CRS-2237,4,,,40,30,30,David Mitchell V,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"only\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"industry\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"work\"\"}, {\"\"wee\",,,Spring 2022,Function-based bifurcated secured line 101,,\r\n,DYX361,CRS-5775,4,,,40,30,30,Rachel Myers,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"behind\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"still\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"your\"\"}, {\"\"week\",,,Spring 2020,Team-oriented well-modulated service-desk 101,,\r\n,QQK173,CRS-6915,4,,,40,30,30,Alec Morales DDS,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"happen\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"poor\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"child\"\"}, {\"\"week\",,,Fall 2023,Front-line needs-based conglomeration 101,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 338
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output clinical note as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6953622\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J94\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I96\"\n\n[patient]\nmrn = \"MRN-161704\"\nage = 88\ngender = \"F\"\n\n[vitals]\nbp = \"100/77\"\nhr = 90\ntemp_f = 97.7\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "clinical_note",
"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 customer review data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5732059\nproduct_id: PROD-822485\nuser_id: a1c27e60-91c7-4a9f-adf0-657cca0c8fab\nrating: 1\ntitle: Receive effort magazine still choice certain.\ncontent: 'Result especially clearly enter research.\n\n Happy cold them plan. South save notice follow get true buy. Idea drug simple language\n personal cover. Every glass where consumer hot throw information.'\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 83\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 184
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate api specification data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Down-sized exuding Graphical User Interface API\"\nversion = \"1.0.0\"\n\n[paths.\"/couple\".get]\nsummary = \"Into station different natural professor.\"\n[[paths.\"/couple\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/couple\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/couple\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/couple\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/couple\".get.responses.400]\ndescription = \"Bad Request\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 212
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need experiment result details in CSV structure."
},
{
"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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-874142,cohort,91,379,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 33.04, \"\"endpoint\"\": 58.85, \"\"p_value\"\": 0.0602}, {\"\"metric\"\": \"\"effica\",Effect of chair on some\r\nnon-significant,EXP-225124,observational,123,798,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 66.22, \"\"endpoint\"\": 13.03, \"\"p_value\"\": 0.3386}, {\"\"metric\"\": \"\"safety\"\",\",Effect of catch on their\r\nnon-significant,EXP-787074,observational,94,817,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 28.19, \"\"endpoint\"\": 59.54, \"\"p_value\"\": 0.3252}, {\"\"metric\"\": \"\"safety\",Effect of while on offer\r\nnon-significant,EXP-440986,cohort,214,877,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 81.17, \"\"endpoint\"\": 16.67, \"\"p_value\"\": 0.1457}, {\"\"metric\"\": \"\"effica\",Effect of focus on around\r\nsignificant,EXP-432079,cohort,349,923,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 19.9, \"\"endpoint\"\": 82.62, \"\"p_value\"\": 0.235}, {\"\"metric\"\": \"\"safety\"\",\",Effect of whose on woman\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 336
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output research paper as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.54593\ntitle: Front-line web-enabled moderator\nauthors:\n- name: Alexandra Orr\n affiliation: Douglas LLC\n email: amandaesparza@example.net\n- name: Diana Jones\n affiliation: Morse Ltd\n email: omar00@example.org\nabstract: Local civil call hear information. Medical practice bank include.\nkeywords:\n- feel\n- question\n- each\n- near\npublication:\n venue: Cell\n year: 2021\n doi: 10.1833/TUoS\ncitations: 278\nfunding_source: null\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 189
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate contract data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-107775\nparties:\n- name: Stuart Inc\n role: party_a\n- name: Kim Group\n role: party_b\neffective_date: '2026-01-05'\nterm_months: 20\nvalue: 290266\nstatus: executed\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 120
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate lab result data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-6049132\"\npatient_mrn = \"MRN-362856\"\norder_date = \"2026-01-05\"\npanel = \"CMP\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 67.3\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 178.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 126.2\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 147.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 169
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"result_id\": \"LAB-7491627\",\n \"patient_mrn\": \"MRN-679961\",\n \"order_date\": \"2026-01-04\",\n \"panel\": \"CMP\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 60.4,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 129.5,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 64.9,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 56.3,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 110.0,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 61.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 264
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n99acb16f-f8b4-41e4-ae62-9ae20ed20eaf,\"[{\"\"sku\"\": \"\"SKU-93150\"\", \"\"qty\"\": 2, \"\"price\"\": 14.35}, {\"\"sku\"\": \"\"SKU-57512\"\", \"\"qty\"\": 4, \"\"price\"\": 71.34}]\",apple_pay,220.17,160.21,2026-01-06T09:43:29.703655,114.14,TXN-47298060\r\n72734f73-307c-494d-8786-3c224a13538c,\"[{\"\"sku\"\": \"\"SKU-91895\"\", \"\"qty\"\": 1, \"\"price\"\": 490.98}, {\"\"sku\"\": \"\"SKU-10925\"\", \"\"qty\"\": 1, \"\"price\"\": 472.96}, {\",apple_pay,799.77,132.17,2026-01-06T09:43:29.705022,471.8,TXN-68159210\r\n64e9a773-cf22-4dc5-a89f-dafc8e28e0c7,\"[{\"\"sku\"\": \"\"SKU-74962\"\", \"\"qty\"\": 1, \"\"price\"\": 207.43}, {\"\"sku\"\": \"\"SKU-36659\"\", \"\"qty\"\": 1, \"\"price\"\": 127.5}, {\"\"\",credit_card,374.37,11.02,2026-01-06T09:43:29.705089,214.2,TXN-40827517\r\ne0666db2-6028-4ff9-b24f-09137b2b457f,\"[{\"\"sku\"\": \"\"SKU-16253\"\", \"\"qty\"\": 1, \"\"price\"\": 69.32}, {\"\"sku\"\": \"\"SKU-62736\"\", \"\"qty\"\": 1, \"\"price\"\": 299.63}, {\"\"\",apple_pay,1667.64,56.23,2026-01-06T09:43:29.705150,623.56,TXN-16174928\r\n39d2e19f-4183-4c68-b831-016736827de6,\"[{\"\"sku\"\": \"\"SKU-37524\"\", \"\"qty\"\": 5, \"\"price\"\": 70.99}, {\"\"sku\"\": \"\"SKU-86272\"\", \"\"qty\"\": 3, \"\"price\"\": 486.75}, {\"\"\",paypal,1641.1,64.51,2026-01-06T09:43:29.705197,1119.26,TXN-38133803\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "transaction_record",
"estimated_tokens": 379
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-993265\"\nstudent_id = \"STU-666988\"\ncourse_id = \"CRS-9161\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 74\npercentage = 73.5\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\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 = 9\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 259
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate lab result data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-8415476\"\npatient_mrn = \"MRN-954731\"\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 72.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 152.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 87.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 189.0\nunit = \"g/dL\"\nflag = \"low\"\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": "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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"note_id\": \"CN-3998475\",\n \"patient\": {\n \"mrn\": \"MRN-459969\",\n \"age\": 22,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-02\",\n \"chief_complaint\": \"fever\",\n \"vitals\": {\n \"bp\": \"156/100\",\n \"hr\": 101,\n \"temp_f\": 98.4\n },\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"K58\"\n },\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"I64\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 176
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output api specification as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Fundamental asymmetric strategy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</practice>\n<get>\n<summary>Grow material clear certainly.</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<responses>\n<200>{'description': 'Success'}</200>\n<400>{'description': 'Bad Request'}</400>\n</responses>\n</get>\n<//practice>\n</paths>\n</api_specification>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 220
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output prescription as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"rx_id\": \"RX-9483696\",\n \"patient_mrn\": \"MRN-605985\",\n \"prescriber\": \"Angela Sanchez\",\n \"date\": \"2026-01-03\",\n \"medications\": [\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"5mg\",\n \"frequency\": \"TID\",\n \"quantity\": 90\n },\n {\n \"name\": \"Metformin\",\n \"dosage\": \"20mg\",\n \"frequency\": \"BID\",\n \"quantity\": 90\n },\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"5mg\",\n \"frequency\": \"BID\",\n \"quantity\": 90\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 195
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-7066881\"\nproduct_id = \"PROD-986026\"\nuser_id = \"00e6332f-394c-45b1-8526-32f0830523b7\"\nrating = 1\ntitle = \"Within certainly interesting discuss sometimes sho\"\ncontent = \"How often should.\\nSenior college half. Push scientist better save. Sing few compare pressure she exactly.\\nAmount cultural situation require child. Wish charge news. Or cause identify despite.\"\ndate = \"2026-01-05\"\nverified_purchase = true\nhelpful_votes = 50\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "customer_review",
"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": "Produce a CSV document for a sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1049865, \"\"growth\"\": 9.08}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 4382695, \"\"\",,,,,April 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-1873\"\", \"\"sales\"\": 257306}, {\"\"sku\"\": \"\"SKU-4999\"\", \"\"sales\"\": 343446}, {\"\"sku\"\": \"\"SKU-6890\"\", \"\"sa\",8124468,96397\r\nSing thank laugh tough situation add choose. Name step issue industry.,\"[{\"\"name\"\": \"\"Tonya Koch\"\", \"\"affiliation\"\": \"\"Lynn-Barker\"\", \"\"email\"\": \"\"brianmayo@example.net\"\"}, {\"\"name\"\": \"\"J\",,384,None,\"[\"\"those\"\", \"\"whole\"\", \"\"role\"\", \"\"protect\"\", \"\"nothing\"\"]\",arXiv:2024.75688,,10.6073/yBWl,Nature,2022,Business-focused incremental paradigm,,,\r\nPrepare citizen page believe travel young forward entire. Debate option animal business life plan fi,\"[{\"\"name\"\": \"\"Ronnie Miles\"\", \"\"affiliation\"\": \"\"Ayers-Reed\"\", \"\"email\"\": \"\"samantha34@example.org\"\"}, {\"\"name\"\": \",,151,Gates-Thompson,\"[\"\"suggest\"\", \"\"American\"\", \"\"lot\"\"]\",arXiv:2021.70203,,10.5133/KoNQ,Science,2020,Cross-group next generation adapter,,,\r\nAgo month door. Peace shake third. Outside recent wife real somebody probably score.,\"[{\"\"name\"\": \"\"Danielle Davis\"\", \"\"affiliation\"\": \"\"Hall-Cunningham\"\", \"\"email\"\": \"\"thompsonjoshua@example.org\"\"}\",,288,None,\"[\"\"sense\"\", \"\"draw\"\", \"\"garden\"\"]\",arXiv:2022.52566,,10.8259/qljI,Nature,2023,Realigned bifurcated intranet,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 446
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output research paper as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nSave member effort election science. Game star because history hospital those.,\"[{\"\"name\"\": \"\"Dustin Sweeney\"\", \"\"affiliation\"\": \"\"Miller LLC\"\", \"\"email\"\": \"\"perezsarah@example.net\"\"}, {\"\"name\"\"\",140,None,\"[\"\"before\"\", \"\"reason\"\", \"\"team\"\", \"\"performance\"\"]\",arXiv:2021.76000,10.8081/Wccn,Nature,2021,Exclusive human-resource methodology\r\n\"Something call floor. Face church mouth bad week. Technology improve appear issue.\nTheory ago instea\",\"[{\"\"name\"\": \"\"Suzanne Garza\"\", \"\"affiliation\"\": \"\"Clark, Kelly and Vasquez\"\", \"\"email\"\": \"\"christophernichols@e\",499,None,\"[\"\"others\"\", \"\"contain\"\", \"\"indicate\"\", \"\"kitchen\"\", \"\"sell\"\"]\",arXiv:2022.72057,10.4662/JNIh,Nature,2024,Function-based client-server methodology\r\nBank reach prove reason ok wife. Born before perform soldier up evening total use. Sell contain act ,\"[{\"\"name\"\": \"\"Ashley Marks\"\", \"\"affiliation\"\": \"\"Palmer-Goodwin\"\", \"\"email\"\": \"\"burchjoel@example.org\"\"}, {\"\"name\",275,None,\"[\"\"nature\"\", \"\"figure\"\", \"\"speak\"\", \"\"eight\"\", \"\"big\"\"]\",arXiv:2020.28526,10.8206/ULKY,Nature,2020,Ameliorated asynchronous software\r\nNotice truth catch. President direction his gun land finally. Six under better.,\"[{\"\"name\"\": \"\"Brandon Yang\"\", \"\"affiliation\"\": \"\"Smith Ltd\"\", \"\"email\"\": \"\"lukerogers@example.org\"\"}, {\"\"name\"\": \"\"\",427,Marshall-Francis,\"[\"\"throw\"\", \"\"here\"\", \"\"quality\"\", \"\"eat\"\", \"\"fear\"\"]\",arXiv:2020.99927,10.1503/bZgd,Nature,2021,Ergonomic context-sensitive secured line\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 464
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-52337513\"\nplatform = \"instagram\"\nuser_id = \"4fafb3d9-0213-436e-851c-70b618307db7\"\nusername = \"jennifer17\"\ncontent = \"Such entire card success. Commercial black year find artist top.\\nBoth process visit growth. Drive suddenly speech important industry put will.\"\ntimestamp = \"2026-01-06T09:43:32.549121\"\nhashtags = [ \"#practice\", \"#suggest\", \"#matter\",]\n\n[engagement]\nlikes = 4361\nshares = 12\ncomments = 234\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 181
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate social media post data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<platform>instagram</platform>\n<content>Debate begin clearly point at mention girl. Before card expect everyone.\nDog myself close. Over figure test somebody of.</content>\n<timestamp>2026-01-06T09:43:30.161320</timestamp>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "simple",
"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": "I need error log details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"error_id\": \"5524f966-a2ea-480e-9659-5ae5c280dec5\",\n \"timestamp\": \"2026-01-06T09:43:32.741603\",\n \"level\": \"CRITICAL\",\n \"service\": \"yearService\",\n \"message\": \"Several mean partner beat tonight have.\",\n \"stack_trace\": [\n \"at role.py:46\",\n \"at free.py:79\",\n \"at quite.py:105\",\n \"at economic.py:197\"\n ],\n \"context\": {\n \"user_id\": \"45513619-6612-4bac-b46e-4fc48c48446d\",\n \"request_id\": \"3a0d4510-0f23-46c7-88c7-9cbd174ad149\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 189
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output social media post as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Able all site never. Challenge heart Democrat thought prove.\nWill visit necessary. Yes thing agree i\",92,8660,622,\"[\"\"#arrive\"\", \"\"#fall\"\", \"\"#certainly\"\"]\",instagram,POST-27387545,2026-01-06T09:43:34.195694,dd5fe251-23f2-4782-ad34-e6e30a3004b5,joshua49\r\n\"Religious church member candidate with walk many. Since trouble economic bar west.\nYourself hour gas\",3,7703,94,\"[\"\"#prevent\"\", \"\"#against\"\", \"\"#treat\"\", \"\"#computer\"\"]\",instagram,POST-21122927,2026-01-06T09:43:34.198000,7645120b-50a1-470d-9ead-3a427757bc3c,cnelson\r\n\"Type feeling maintain determine. Need morning hot store create apply.\nBlack degree here another even\",389,3422,386,\"[\"\"#experience\"\", \"\"#choose\"\", \"\"#simple\"\"]\",instagram,POST-98551546,2026-01-06T09:43:34.198771,04d88770-2275-4320-bf5d-6f6ad2ce19d6,carlamejia\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 303
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "I need product listing details in XML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-593622</product_id>\n<name>Polarized analyzing initiative</name>\n<category>clothing</category>\n<price>304.48</price>\n<currency>USD</currency>\n<stock>537</stock>\n<is_available>True</is_available>\n<rating>1.39</rating>\n<reviews>146</reviews>\n<specs>\n<weight_kg>35.03</weight_kg>\n<dimensions>27x18x42cm</dimensions>\n</specs>\n</product_listing>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 180
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output error log as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,ae51c08d-1c61-4aab-b9c4-b7718883e33e,569283d8-c757-4cb0-9758-1e88835e8207,9cfb0d51-7103-4dab-8dfa-b4e2d417bcd8,,,ERROR,Strong painting future break college spring.,,,,,hospitalService,\"[\"\"at card.py:262\"\", \"\"at bag.py:228\"\", \"\"at ball.py:195\"\"]\",2026-01-06T09:43:29.782624,\r\nExist much card son officer. According then program analysis strong different story.,\"[{\"\"name\"\": \"\"George Watts\"\", \"\"affiliation\"\": \"\"Reilly Inc\"\", \"\"email\"\": \"\"pjones@example.org\"\"}, {\"\"name\"\": \"\"Mrs\",113,,,,None,\"[\"\"teacher\"\", \"\"town\"\", \"\"born\"\", \"\"measure\"\", \"\"do\"\"]\",,,arXiv:2022.51816,10.9658/rpou,Cell,2024,,,,Profit-focused global extranet\r\nTraining peace term moment. Nearly their agent head. Explain reach send everybody.,\"[{\"\"name\"\": \"\"Virginia Flores\"\", \"\"affiliation\"\": \"\"Hernandez-Johnson\"\", \"\"email\"\": \"\"lewisjennifer@example.com\",20,,,,\"Doyle, Taylor and Arnold\",\"[\"\"front\"\", \"\"owner\"\", \"\"but\"\"]\",,,arXiv:2021.38937,10.2137/BxlC,Science,2024,,,,Cross-group directional matrices\r\nStatement relationship son. Simply edge husband weight room.,\"[{\"\"name\"\": \"\"Sarah Smith\"\", \"\"affiliation\"\": \"\"Duncan-Rodriguez\"\", \"\"email\"\": \"\"romerotiffany@example.com\"\"}, {\",454,,,,None,\"[\"\"fish\"\", \"\"parent\"\", \"\"various\"\", \"\"easy\"\", \"\"increase\"\"]\",,,arXiv:2022.23328,10.7567/wvMQ,Science,2020,,,,Automated asymmetric infrastructure\r\nDirector several you feeling then truth. Ability range next response say. Pay increase energy care c,\"[{\"\"name\"\": \"\"Derrick King\"\", \"\"affiliation\"\": \"\"Gibson LLC\"\", \"\"email\"\": \"\"kelly24@example.org\"\"}, {\"\"name\"\": \"\"Ca\",206,,,,None,\"[\"\"benefit\"\", \"\"a\"\", \"\"fall\"\", \"\"page\"\", \"\"meeting\"\"]\",,,arXiv:2022.96305,10.5132/ZOtR,Nature,2021,,,,Secured bifurcated encryption\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 545
}
|
[
{
"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: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-7952688\npatient_mrn: MRN-803339\norder_date: '2026-01-02'\npanel: CMP\nresults:\n- test: Hemoglobin\n value: 141.3\n unit: g/dL\n flag: low\n- test: WBC\n value: 67.0\n unit: mg/dL\n flag: normal\n- test: Hemoglobin\n value: 104.7\n unit: g/dL\n flag: low\n- test: Glucose\n value: 67.0\n unit: mg/dL\n flag: high\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 157
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need clinical note details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nchief_complaint = \"chest pain\"\nencounter_date = \"2026-01-03\"\n\n[patient]\nmrn = \"MRN-729929\"\nage = 25\ngender = \"F\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 103
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9189487\"\npatient_mrn = \"MRN-416285\"\nprescriber = \"Casey Berry\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 118
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output lab result as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-7805635\"\npatient_mrn = \"MRN-843768\"\norder_date = \"2026-01-05\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 178.2\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 60.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 53.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 184.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 106.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 189
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output research paper as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.76000</paper_id>\n<title>Exclusive human-resource methodology</title>\n<authors>\n<name>Dustin Sweeney</name>\n<affiliation>Miller LLC</affiliation>\n<email>perezsarah@example.net</email>\n</authors>\n<authors>\n<name>Sarah King</name>\n<affiliation>Jenkins PLC</affiliation>\n<email>qcole@example.org</email>\n</authors>\n<authors>\n<name>Greg Roth</name>\n<affiliation>Dunn-Owens</affiliation>\n<email>stephanieshah@example.org</email>\n</authors>\n<abstract>Save member effort election science. Game star because history hospital those.</abstract>\n<keywords>before</keywords>\n<keywords>reason</keywords>\n<keywords>team</keywords>\n<keywords>performance</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2021</year>\n<doi>10.8081/Wccn</doi>\n</publication>\n<citations>140</citations>\n<funding_source />\n</research_paper>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 297
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need prescription details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-543750,Alexandra Klein,RX-7484434\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-273689,Kenneth Villegas,RX-9243292\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-616374,Andrew Swanson,RX-1826403\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-866102,Joseph Austin,RX-8775742\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-545595,Susan Boone,RX-8967795\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "prescription",
"estimated_tokens": 281
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output sales analytics as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2021\"\ntotal_revenue = 1217170\nunits_sold = 89713\n[[channels]]\nname = \"online\"\nrevenue = 2251675\ngrowth = 49.05\n\n[[channels]]\nname = \"retail\"\nrevenue = 443598\ngrowth = -6.52\n\n[[top_products]]\nsku = \"SKU-8555\"\nsales = 81952\n\n[[top_products]]\nsku = \"SKU-5583\"\nsales = 464876\n\n[[top_products]]\nsku = \"SKU-1703\"\nsales = 453436\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 158
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-2434\"\ncode = \"DVL286\"\ntitle = \"Inverse national capacity 101\"\ninstructor = \"Scott Kim\"\ncredits = 4\nterm = \"Spring 2020\"\n[[schedule]]\nweek = 1\ntopic = \"laugh\"\n\n[[schedule]]\nweek = 2\ntopic = \"success\"\n\n[[schedule]]\nweek = 3\ntopic = \"between\"\n\n[[schedule]]\nweek = 4\ntopic = \"opportunity\"\n\n[[schedule]]\nweek = 5\ntopic = \"special\"\n\n[[schedule]]\nweek = 6\ntopic = \"art\"\n\n[[schedule]]\nweek = 7\ntopic = \"home\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 191
}
|
[
{
"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: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-176542\nparties:\n- name: Fox-Garza\n role: party_a\n- name: Johnson, Rubio and Gonzales\n role: party_b\neffective_date: '2026-01-04'\nterm_months: 34\nvalue: 644021\nstatus: executed\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 124
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-740077\",\n \"title\": \"Effect of white on evening\",\n \"methodology\": {\n \"design\": \"RCT\",\n \"sample_size\": 869,\n \"duration_days\": 32\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 10.89,\n \"endpoint\": 58.96,\n \"p_value\": 0.0511\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 25.37,\n \"endpoint\": 97.69,\n \"p_value\": 0.2018\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 191
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n title: Organic homogeneous functionalities API\n version: 1.0.0\npaths:\n /adult:\n get:\n summary: Choice whatever five artist evidence produce.\n parameters:\n - name: param0\n in: query\n type: string\n responses:\n '200':\n description: Success\n '400':\n description: Bad Request\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "api_specification",
"estimated_tokens": 169
}
|
[
{
"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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-173345\",\n \"title\": \"Effect of state on or\",\n \"methodology\": {\n \"design\": \"RCT\",\n \"sample_size\": 849,\n \"duration_days\": 264\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 88.4,\n \"endpoint\": 29.84,\n \"p_value\": 0.0809\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 90.53,\n \"endpoint\": 33.55,\n \"p_value\": 0.0079\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 48.26,\n \"endpoint\": 60.25,\n \"p_value\": 0.0924\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 217
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output transaction record as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"txn_id\": \"TXN-98954474\",\n \"customer_id\": \"ac364ac2-d92b-4834-a49c-47c2d399ec87\",\n \"timestamp\": \"2026-01-06T09:43:31.108755\",\n \"items\": [\n {\n \"sku\": \"SKU-74302\",\n \"qty\": 4,\n \"price\": 452.91\n },\n {\n \"sku\": \"SKU-52720\",\n \"qty\": 2,\n \"price\": 224.23\n },\n {\n \"sku\": \"SKU-68694\",\n \"qty\": 1,\n \"price\": 477.08\n },\n {\n \"sku\": \"SKU-40474\",\n \"qty\": 3,\n \"price\": 137.31\n }\n ],\n \"subtotal\": 1835.64,\n \"tax\": 146.65,\n \"total\": 1321.62,\n \"payment_method\": \"paypal\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 215
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-7638118\nproduct_id: PROD-192717\nuser_id: 5fcdedcc-853e-43f6-a03c-c04152d19ea0\nrating: 3\ntitle: Body style quickly media room entire.\ncontent: This unit change. All say tend book. Southern seek able between PM sound.\ndate: '2026-01-04'\nverified_purchase: false\nhelpful_votes: 14\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 151
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-302243\ntitle: Effect of our on star\nmethodology:\n design: observational\n sample_size: 432\n duration_days: 102\nresults:\n- metric: safety\n baseline: 81.34\n endpoint: 43.91\n p_value: 0.2947\n- metric: safety\n baseline: 93.65\n endpoint: 53.68\n p_value: 0.0495\n- metric: efficacy\n baseline: 70.64\n endpoint: 78.83\n p_value: 0.4931\nconclusion: significant\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 173
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-1091357\nheadline: Progressive solution-oriented benchmark\nauthor: Veronica Perez\npublished: '2026-01-04T23:19:54.143199'\nsection: Sports\ncontent: 'Growth physical guy hold attention. Ago window important herself discuss\n body system.\n\n Word interest lead. Economic believe receive education describe value. Capital action\n author ability.'\ntags:\n- girl\n- who\n- rock\nviews: 72066\nshares: 2292\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "news_article",
"estimated_tokens": 180
}
|
[
{
"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: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-859983</assessment_id>\n<student_id>STU-103451</student_id>\n<course_id>CRS-5202</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>8</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>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>84</total_score>\n<percentage>94.68</percentage>\n<grade>C</grade>\n</student_assessment>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 383
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need error log details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"09dfca00-c99d-4286-9a0f-4cb692d71a62\"\ntimestamp = \"2026-01-06T09:43:33.808770\"\nlevel = \"ERROR\"\nservice = \"productionService\"\nmessage = \"Force customer next.\"\nstack_trace = [ \"at meet.py:21\", \"at court.py:201\",]\n\n[context]\nuser_id = \"81537eca-ca34-433f-9840-6be324d887da\"\nrequest_id = \"fdcd81ff-ebcb-45cc-8a22-b349e456bc1d\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 157
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-246302\",\n \"title\": \"Effect of successful on at\",\n \"methodology\": {\n \"design\": \"observational\",\n \"sample_size\": 771,\n \"duration_days\": 246\n },\n \"results\": [\n {\n \"metric\": \"safety\",\n \"baseline\": 21.88,\n \"endpoint\": 97.82,\n \"p_value\": 0.1982\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 25.25,\n \"endpoint\": 44.71,\n \"p_value\": 0.4702\n }\n ],\n \"conclusion\": \"non-significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"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": "Produce a CSV document for a course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nBFV450,CRS-5299,4,40,30,30,Margaret Waters,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"church\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"reality\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"figure\"\"}, {\"\"\",Fall 2021,Future-proofed transitional access 101\r\nXPJ441,CRS-2043,4,40,30,30,Caleb Norman,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"adult\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"almost\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"also\"\"}, {\"\"week\",Spring 2023,Mandatory context-sensitive utilization 101\r\nNPZ212,CRS-3509,3,40,30,30,Matthew Mosley,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"several\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"same\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"build\"\"}, {\"\"wee\",Fall 2020,Right-sized interactive benchmark 101\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 264
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmethodology:\n design: RCT\n sample_size: 193\n duration_days: 365\nexperiment_id: EXP-345048\nconclusion: significant\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 108
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate student assessment data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-739435,,CRS-9265,,2026-01-04,B,,,,,84.32,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-362941,,,94,exam\r\n,ARU355,CRS-8135,3,,,40,30,30,Dennis Tran,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"five\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"each\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"evidence\"\"}, {\"\"wee\",,,Fall 2022,Adaptive high-level algorithm 101,,\r\n,DXR370,CRS-2457,4,,,40,30,30,Ann Atkins,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"you\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"prevent\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"seem\"\"}, {\"\"week\"\"\",,,Spring 2022,Grass-roots 6thgeneration synergy 101,,\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 275
}
|
[
{
"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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-53638241</post_id>\n<platform>twitter</platform>\n<user_id>b721c855-7360-4fb2-bb63-d55e568d6dfb</user_id>\n<username>wilsonmark</username>\n<content>Last power trade or hard man. Century though fear somebody thank.\nParticularly film next out letter public. Remain put response worry man industry wish. Whom treatment professional future.</content>\n<timestamp>2026-01-06T09:43:31.863821</timestamp>\n<hashtags>#little</hashtags>\n<hashtags>#different</hashtags>\n<hashtags>#benefit</hashtags>\n<hashtags>#represent</hashtags>\n<engagement>\n<likes>530</likes>\n<shares>304</shares>\n<comments>475</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 253
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output student assessment as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"assessment_id\": \"ASMT-766531\",\n \"student_id\": \"STU-146206\",\n \"course_id\": \"CRS-4639\",\n \"type\": \"exam\",\n \"date\": \"2026-01-02\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 5,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 1,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 8,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 8,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 8,\n \"points_possible\": 10\n },\n {\n \"question\": 8,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 9,\n \"points_earned\": 6,\n \"points_possible\": 10\n },\n {\n \"question\": 10,\n \"points_earned\": 9,\n \"points_possible\": 10\n },\n {\n \"question\": 11,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 12,\n \"points_earned\": 5,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 80,\n \"percentage\": 72.02,\n \"grade\": \"B\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 397
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need product listing details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-697503\nname: Team-oriented eco-centric instruction set\ncategory: books\nprice: 895.6\ncurrency: USD\nstock: 631\nis_available: true\nrating: 1.56\nreviews: 842\nspecs:\n weight_kg: 8.39\n dimensions: 62x14x52cm\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "product_listing",
"estimated_tokens": 133
}
|
[
{
"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 social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Because field plan wait happy painting. Yet among teach if.\nRise matter degree blue.\nPage already ca\",8,4780,81,\"[\"\"#wonder\"\", \"\"#until\"\", \"\"#every\"\", \"\"#remember\"\"]\",instagram,POST-61211479,2026-01-06T09:43:29.728373,47e055dc-48f8-4fb2-917c-a08294c0facb,paulmason\r\nHalf alone among great health myself account. Article strong political site. Enter teacher lay drug ,170,5130,708,\"[\"\"#their\"\", \"\"#morning\"\", \"\"#program\"\"]\",facebook,POST-61503597,2026-01-06T09:43:29.729795,c14b897a-9d07-41f6-991b-071c90450757,kanenathan\r\nPerhaps foot operation energy. Build everyone her baby whether important give. Evidence option manag,402,8515,784,\"[\"\"#use\"\", \"\"#responsibility\"\"]\",facebook,POST-19544906,2026-01-06T09:43:29.730197,16991c4c-1c0f-409c-a540-4e6ec6a0275f,clarktara\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 299
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Produce a XML document for a 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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.95192</paper_id>\n<title>Horizontal 24hour ability</title>\n<authors>\n<name>Brandon Harris</name>\n<affiliation>Adams-Novak</affiliation>\n<email>klang@example.net</email>\n</authors>\n<authors>\n<name>Jon Smith</name>\n<affiliation>Barajas-Maldonado</affiliation>\n<email>mccarthymegan@example.com</email>\n</authors>\n<authors>\n<name>Keith Acosta</name>\n<affiliation>Davis-Lewis</affiliation>\n<email>esilva@example.org</email>\n</authors>\n<abstract>World others safe such industry. Debate soon fight stuff picture plan investment. Positive picture use every project.</abstract>\n<keywords>south</keywords>\n<keywords>staff</keywords>\n<keywords>four</keywords>\n<publication>\n<venue>Science</venue>\n<year>2024</year>\n<doi>10.9923/RFal</doi>\n</publication>\n<citations>191</citations>\n<funding_source />\n</research_paper>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 297
}
|
[
{
"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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"post_id\": \"POST-41173745\",\n \"platform\": \"twitter\",\n \"user_id\": \"289d92de-2f76-4c7c-8c66-20f100405214\",\n \"username\": \"ericsmith\",\n \"content\": \"Character own reduce improve in notice trade. Simply system international image modern. Owner former three than.\",\n \"timestamp\": \"2026-01-06T09:43:34.594219\",\n \"hashtags\": [\n \"#she\",\n \"#business\"\n ],\n \"engagement\": {\n \"likes\": 1971,\n \"shares\": 620,\n \"comments\": 399\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 189
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate experiment result data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-550309\"\ntitle = \"Effect of month on four\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 21.67\nendpoint = 48.73\np_value = 0.0983\n\n[[results]]\nmetric = \"safety\"\nbaseline = 85.54\nendpoint = 80.94\np_value = 0.1421\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 99.69\nendpoint = 81.8\np_value = 0.1514\n\n[[results]]\nmetric = \"safety\"\nbaseline = 98.77\nendpoint = 47.12\np_value = 0.0017\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 169\nduration_days = 180\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 196
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nprescriber = \"Jennifer Williams\"\npatient_mrn = \"MRN-871277\"\nrx_id = \"RX-8793152\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 95
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output student assessment as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-254069\"\nstudent_id = \"STU-414136\"\ncourse_id = \"CRS-7594\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 84\npercentage = 90.1\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 292
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"review_id\": \"REV-2501238\",\n \"product_id\": \"PROD-522391\",\n \"user_id\": \"e7009058-1693-436f-a8d5-a48a7e2ea712\",\n \"rating\": 2,\n \"title\": \"Seat worker majority response avoid.\",\n \"content\": \"Country maybe method focus community red high will. Movement city change bar treatment leader room.\\nMedia time ground yes. Ok few expect environment hotel.\\nSure interest network wall my.\",\n \"date\": \"2026-01-01\",\n \"verified_purchase\": false,\n \"helpful_votes\": 96\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 194
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Produce a TOML document for a customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-2501238\"\nproduct_id = \"PROD-522391\"\nuser_id = \"e7009058-1693-436f-a8d5-a48a7e2ea712\"\nrating = 2\ntitle = \"Seat worker majority response avoid.\"\ncontent = \"Country maybe method focus community red high will. Movement city change bar treatment leader room.\\nMedia time ground yes. Ok few expect environment hotel.\\nSure interest network wall my.\"\ndate = \"2026-01-01\"\nverified_purchase = false\nhelpful_votes = 96\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 181
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Chase Inc\nticker: WCYG\nquarter: Q2 2022\nrevenue: 45899042\nexpenses: 53345818\nnet_income: 19025113\neps: 2.89\nmetrics:\n profit_margin: 14.17\n roe: 20.21\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 119
}
|
[
{
"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 transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,customer_id,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,tax,timestamp,title,total\r\n,,,1a8f628d-f063-4e73-9f5b-b6ef432e3c00,,,,,,,65.5,2026-01-06T09:43:30.743838,,245.6\r\n\"Challenge student agent father. Risk always weight main. Tv recent think sort room past.\nLate next i\",\"[{\"\"name\"\": \"\"Karen Green\"\", \"\"affiliation\"\": \"\"Rivera Ltd\"\", \"\"email\"\": \"\"andreabrady@example.com\"\"}, {\"\"name\"\": \",365,,None,\"[\"\"whose\"\", \"\"economic\"\", \"\"finally\"\", \"\"between\"\", \"\"actually\"\"]\",arXiv:2022.73917,10.5860/Cywn,Cell,2021,,,Fully-configurable non-volatile methodology,\r\n\"Individual out ground group full that. Theory sing article myself.\nRed player east second. Include a\",\"[{\"\"name\"\": \"\"John Jackson\"\", \"\"affiliation\"\": \"\"Bass-Kelly\"\", \"\"email\"\": \"\"xmatthews@example.com\"\"}, {\"\"name\"\": \"\"\",204,,None,\"[\"\"truth\"\", \"\"machine\"\", \"\"real\"\", \"\"short\"\"]\",arXiv:2022.28671,10.2687/xTDe,Cell,2021,,,Secured content-based Local Area Network,\r\n\"Service look discussion camera among light increase. Wrong hotel large name.\nTry show way risk somet\",\"[{\"\"name\"\": \"\"Yolanda Vaughn\"\", \"\"affiliation\"\": \"\"Sparks Group\"\", \"\"email\"\": \"\"obaldwin@example.net\"\"}, {\"\"name\"\"\",473,,None,\"[\"\"rise\"\", \"\"sound\"\", \"\"authority\"\"]\",arXiv:2021.10783,10.8092/XqHl,Cell,2021,,,Extended zero-defect challenge,\r\nGlass offer region similar government fear. Land be room instead hope somebody.,\"[{\"\"name\"\": \"\"Kelli Lane\"\", \"\"affiliation\"\": \"\"Berry Group\"\", \"\"email\"\": \"\"smiller@example.com\"\"}, {\"\"name\"\": \"\"Kim\",336,,Barnes Ltd,\"[\"\"soldier\"\", \"\"process\"\", \"\"carry\"\", \"\"positive\"\", \"\"style\"\"]\",arXiv:2021.84921,10.6047/lsMx,Cell,2024,,,Reverse-engineered local application,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 501
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output lab result as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"result_id\": \"LAB-4083407\",\n \"patient_mrn\": \"MRN-510217\",\n \"order_date\": \"2026-01-04\",\n \"panel\": \"CBC\",\n \"results\": [\n {\n \"test\": \"Hemoglobin\",\n \"value\": 115.3,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 150.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 72.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 116.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 90.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 238
}
|
[
{
"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 transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-98954474\"\ncustomer_id = \"ac364ac2-d92b-4834-a49c-47c2d399ec87\"\ntimestamp = \"2026-01-06T09:43:31.108755\"\nsubtotal = 1835.64\ntax = 146.65\ntotal = 1321.62\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-74302\"\nqty = 4\nprice = 452.91\n\n[[items]]\nsku = \"SKU-52720\"\nqty = 2\nprice = 224.23\n\n[[items]]\nsku = \"SKU-68694\"\nqty = 1\nprice = 477.08\n\n[[items]]\nsku = \"SKU-40474\"\nqty = 3\nprice = 137.31\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 175
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output error log as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"error_id\": \"46be77c9-f4c8-4db8-8e99-9299ae4b59d1\",\n \"timestamp\": \"2026-01-06T09:43:34.886775\",\n \"level\": \"CRITICAL\",\n \"service\": \"protectService\",\n \"message\": \"Difficult establish unit.\",\n \"stack_trace\": [\n \"at health.py:402\",\n \"at force.py:499\",\n \"at wide.py:273\"\n ],\n \"context\": {\n \"user_id\": \"a1d1c9c2-45f6-401e-bcfb-de354c8f7709\",\n \"request_id\": \"a12bbbfd-e7dc-49d1-95e3-d91067154605\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "error_log",
"estimated_tokens": 182
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-731015,Brittany Pugh,RX-4817925\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformi\",MRN-950209,Amanda Blackwell,RX-7369318\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-681385,Olivia White,RX-8912877\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-116335,Rodney Moore,RX-7204995\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-390372,Ellen Greene,RX-6916328\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 292
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output clinical note as JSON."
},
{
"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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"note_id\": \"CN-8485350\",\n \"patient\": {\n \"mrn\": \"MRN-864145\",\n \"age\": 58,\n \"gender\": \"F\"\n },\n \"encounter_date\": \"2026-01-04\",\n \"chief_complaint\": \"chest pain\",\n \"vitals\": {\n \"bp\": \"141/103\",\n \"hr\": 100,\n \"temp_f\": 98.5\n },\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"I21\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 161
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-553201,Amber Gregory,RX-1134936\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-349397,Martin Walker,RX-1922671\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-284560,Jessica Ellis,RX-9527187\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-297878,Holly Martin,RX-2204324\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-997418,Whitney Cunningham,RX-2190726\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 282
}
|
[
{
"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 research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.54593\"\ntitle = \"Front-line web-enabled moderator\"\nabstract = \"Local civil call hear information. Medical practice bank include.\"\nkeywords = [ \"feel\", \"question\", \"each\", \"near\",]\ncitations = 278\n[[authors]]\nname = \"Alexandra Orr\"\naffiliation = \"Douglas LLC\"\nemail = \"amandaesparza@example.net\"\n\n[[authors]]\nname = \"Diana Jones\"\naffiliation = \"Morse Ltd\"\nemail = \"omar00@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.1833/TUoS\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 191
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate api specification data in XML format."
},
{
"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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Intuitive explicit functionalities API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</American>\n<get>\n<summary>Trial coach size rather.</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<responses>\n<200>{'description': 'Success'}</200>\n<400>{'description': 'Bad Request'}</400>\n</responses>\n</get>\n<//American>\n</paths>\n</api_specification>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "api_specification",
"estimated_tokens": 219
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1305\ncode: WFG137\ntitle: Ameliorated 5thgeneration algorithm 101\ninstructor: Sandra Hill\ncredits: 3\nterm: Spring 2022\nschedule:\n- week: 1\n topic: anything\n- week: 2\n topic: their\n- week: 3\n topic: force\n- week: 4\n topic: above\n- week: 5\n topic: information\n- week: 6\n topic: process\n- week: 7\n topic: yard\n- week: 8\n topic: grow\n- week: 9\n topic: explain\n- week: 10\n topic: identify\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 192
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output experiment result as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-301169\"\ntitle = \"Effect of walk on positive\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 26.1\nendpoint = 96.19\np_value = 0.495\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 64.91\nendpoint = 99.15\np_value = 0.2035\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 435\nduration_days = 183\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 156
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "I need product listing details in CSV structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Proactive discrete circuit,114.22,PROD-496320,4.48,312,63x88x66cm,19.63,329\r\nbooks,USD,True,Profit-focused client-server workforce,30.7,PROD-115307,4.19,324,19x86x50cm,26.04,240\r\nbooks,USD,True,Realigned didactic budgetary management,786.61,PROD-298545,2.08,245,72x22x83cm,45.08,800\r\nelectronics,USD,True,Secured systematic artificial intelligence,373.19,PROD-914566,3.26,626,76x18x43cm,45.47,499\r\nelectronics,USD,True,Cloned client-driven database,548.71,PROD-364392,3.25,747,81x73x24cm,4.3,568\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 232
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output customer review as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Truth southern already hit night full. Future short green toward staff development. Region seem almo,,2026-01-02,22,,,,PROD-386333,4,REV-8416723,,,,,Region minute several consumer out clearly confere,2bb68335-5967-4a86-8eae-0783ae2db938,False\r\nelectronics,,USD,,,True,Reduced multi-state methodology,162.55,PROD-399740,4.48,,199,95x65x35cm,23.38,885,,,\r\nelectronics,,USD,,,True,Progressive coherent artificial intelligence,711.32,PROD-642537,4.18,,782,81x86x40cm,23.96,594,,,\r\nelectronics,,USD,,,True,Persistent coherent success,899.58,PROD-712716,1.29,,413,47x68x12cm,49.1,108,,,\r\nelectronics,,USD,,,True,User-friendly multi-state attitude,895.23,PROD-886471,2.98,,118,72x69x92cm,44.88,405,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 295
}
|
[
{
"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: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"c0f401df-bc4e-4d85-a4fb-742cd7594dac\"\ntimestamp = \"2026-01-06T09:43:31.148240\"\nlevel = \"ERROR\"\nservice = \"rateService\"\nmessage = \"Until gun fund forward free manager.\"\nstack_trace = [ \"at place.py:44\", \"at rock.py:354\",]\n\n[context]\nuser_id = \"3b83a0e7-33c5-42b6-bba6-b147d1349116\"\nrequest_id = \"fe7c9c3c-156f-4d7b-8c77-e421cf8c2687\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "error_log",
"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 course syllabus as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninstructor = \"Melissa Herrera\"\nterm = \"Spring 2022\"\ntitle = \"Robust composite attitude 101\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 98
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Produce a YAML document for a clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3998475\npatient:\n mrn: MRN-459969\n age: 22\n gender: F\nencounter_date: '2026-01-02'\nchief_complaint: fever\nvitals:\n bp: 156/100\n hr: 101\n temp_f: 98.4\nassessment:\n- problem: diabetes\n icd10: K58\n- problem: hypertension\n icd10: I64\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 139
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "I need contract details in XML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-231226</contract_id>\n<parties>\n<name>Gibbs, Erickson and Nunez</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Johnson-Gates</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-02</effective_date>\n<term_months>45</term_months>\n<value>678004</value>\n<status>active</status>\n</contract>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "contract",
"estimated_tokens": 168
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate clinical note data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nencounter_date = \"2026-01-01\"\nnote_id = \"CN-2908774\"\n\n[patient]\nmrn = \"MRN-614418\"\nage = 18\ngender = \"F\"\n\n[vitals]\nbp = \"107/104\"\nhr = 65\ntemp_f = 97.0\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 113
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need experiment result details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-301169\",\n \"title\": \"Effect of walk on positive\",\n \"methodology\": {\n \"design\": \"RCT\",\n \"sample_size\": 435,\n \"duration_days\": 183\n },\n \"results\": [\n {\n \"metric\": \"safety\",\n \"baseline\": 26.1,\n \"endpoint\": 96.19,\n \"p_value\": 0.495\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 64.91,\n \"endpoint\": 99.15,\n \"p_value\": 0.2035\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 190
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output error log as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<message>Dream fly news issue.</message>\n<stack_trace>at week.py:496</stack_trace>\n<stack_trace>at myself.py:219</stack_trace>\n<stack_trace>at whether.py:93</stack_trace>\n<error_id>c5a9beb6-d92a-46c1-bb51-b9ca198b3e17</error_id>\n<timestamp>2026-01-06T09:43:34.632289</timestamp>\n<context>\n<user_id>708e5cce-8d3e-4c5a-bb69-2cca97fb0cf9</user_id>\n<request_id>70967ad7-9312-4104-b17a-0cc0831fa14f</request_id>\n</context>\n</error_log>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "error_log",
"estimated_tokens": 197
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"experiment_id\": \"EXP-356074\",\n \"title\": \"Effect of fill on likely\",\n \"methodology\": {\n \"design\": \"RCT\",\n \"sample_size\": 875,\n \"duration_days\": 322\n },\n \"results\": [\n {\n \"metric\": \"safety\",\n \"baseline\": 39.78,\n \"endpoint\": 81.69,\n \"p_value\": 0.1423\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 43.9,\n \"endpoint\": 37.5,\n \"p_value\": 0.1409\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 61.73,\n \"endpoint\": 42.56,\n \"p_value\": 0.1429\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 16.42,\n \"endpoint\": 81.67,\n \"p_value\": 0.0929\n }\n ],\n \"conclusion\": \"non-significant\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 246
}
|
[
{
"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: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-739435</assessment_id>\n<student_id>STU-362941</student_id>\n<course_id>CRS-9265</course_id>\n<type>exam</type>\n<date>2026-01-04</date>\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>9</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>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</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>94</total_score>\n<percentage>84.32</percentage>\n<grade>B</grade>\n</student_assessment>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 440
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nMUR206,CRS-4085,3,40,30,30,Tyler Koch,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"amount\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"actually\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"light\"\"}, {\"\"\",Fall 2021,Intuitive composite secured line 101\r\nGOV482,CRS-9479,4,40,30,30,Justin Levine,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"war\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"look\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ground\"\"}, {\"\"week\"\":\",Spring 2023,Horizontal dynamic infrastructure 101\r\nCLI352,CRS-9294,3,40,30,30,Matthew Fox,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"campaign\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"step\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"happen\"\"}, {\"\"w\",Spring 2023,Intuitive holistic toolset 101\r\nZXI156,CRS-1484,4,40,30,30,Laura Aguilar,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"traditional\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"school\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"teacher\"\"\",Spring 2020,Upgradable static emulation 101\r\nKQW380,CRS-8248,4,40,30,30,Dennis Osborn,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"reality\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"of\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"discussion\"\"}, {\"\"\",Spring 2022,Ergonomic high-level parallelism 101\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 364
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output news article as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-1091357</article_id>\n<headline>Progressive solution-oriented benchmark</headline>\n<author>Veronica Perez</author>\n<published>2026-01-04T23:19:54.143199</published>\n<section>Sports</section>\n<content>Growth physical guy hold attention. Ago window important herself discuss body system.\nWord interest lead. Economic believe receive education describe value. Capital action author ability.</content>\n<tags>girl</tags>\n<tags>who</tags>\n<tags>rock</tags>\n<views>72066</views>\n<shares>2292</shares>\n</news_article>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "news_article",
"estimated_tokens": 221
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output sales analytics as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: August 2020\ntotal_revenue: 9799832\nunits_sold: 54253\nchannels:\n- name: wholesale\n revenue: 226075\n growth: 3.5\n- name: online\n revenue: 1858290\n growth: 15.24\ntop_products:\n- sku: SKU-7743\n sales: 130747\n- sku: SKU-8561\n sales: 65081\n- sku: SKU-1622\n sales: 149382\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 147
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Produce a CSV document for a prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-894483,Caroline Smith,RX-9243634\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-660181,Elizabeth Brown,RX-9340667\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metform\",MRN-656293,Jason Hunter,RX-2781889\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\",MRN-426145,Tony Peterson,RX-1643682\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinop\",MRN-745700,Travis Taylor,RX-9378265\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 285
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "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\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\nCheck just listen account choose down. It walk national stock protect hot. Study consumer professor ,2026-01-04,,,,REV-8799840,Drop rest for lay help.,,True\r\nRight against fall financial establish interview energy. Plan television help last here. Relate resu,2026-01-01,88,PROD-182798,5,REV-1712984,No how white room.,5624d70a-9f02-4ed9-b9a0-a1b15de50f2d,True\r\nDown treatment difference pattern us four. Owner tree above would. Cause customer world soldier inde,2026-01-05,33,PROD-677284,4,REV-5041538,Poor offer offer they beyond.,0edb2538-4585-4b0b-82bf-5bb8bf05ca97,False\r\n\"Through tonight Democrat church college upon realize also. Act building day body far from agree.\nTen\",2026-01-02,78,PROD-434906,3,REV-4521259,Teacher democratic difficult reflect cell business,242b9181-1876-47ce-ba24-dca3dbb19ec1,False\r\nFinish successful yet five actually energy. In expert available require race inside total. According,2026-01-05,21,PROD-152636,2,REV-5276322,Bag effect economy offer little across read.,66546f41-eaa5-49f4-857c-8725aa8401b9,False\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "customer_review",
"estimated_tokens": 361
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "I need clinical note details in TOML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-5327531\"\n\n[patient]\nmrn = \"MRN-620008\"\nage = 72\ngender = \"M\"\n\n[vitals]\nbp = \"99/86\"\nhr = 73\ntemp_f = 99.2\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 105
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "I need news article details in JSON structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"article_id\": \"ART-8918474\",\n \"headline\": \"Customer-focused mission-critical system engine\",\n \"author\": \"Angela Conley\",\n \"published\": \"2026-01-01T02:40:50.321997\",\n \"section\": \"Politics\",\n \"content\": \"Note yeah shoulder represent human development. Money personal another west draw door.\\nReally window gas too small. Ahead pass service. Approach create of quite ten entire sense. Discover ball clearly something own hit.\",\n \"tags\": [\n \"which\",\n \"name\",\n \"approach\"\n ],\n \"views\": 41768,\n \"shares\": 4267\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "news_article",
"estimated_tokens": 209
}
|
[
{
"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: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-84032427\"\nplatform = \"twitter\"\nuser_id = \"8d39a76b-f51a-40b1-a035-ba4a4ecccda2\"\nusername = \"bethford\"\ncontent = \"Tax note under true apply write. Even do student attack. Executive across into fine realize.\\nThought data Congress commercial order.\"\ntimestamp = \"2026-01-06T09:43:30.626312\"\nhashtags = [ \"#player\", \"#model\", \"#color\", \"#check\",]\n\n[engagement]\nlikes = 6478\nshares = 854\ncomments = 50\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "social_media_post",
"estimated_tokens": 178
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "I need customer review details in YAML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5005925\nproduct_id: PROD-888604\nuser_id: c7b50e56-b411-45d5-a01c-3ac406129747\nrating: 1\ntitle: Table administration early open.\ncontent: Crime front place also decide service author. White send discover have. Year\n pretty role history majority could five race.\ndate: '2026-01-05'\nverified_purchase: false\nhelpful_votes: 39\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 163
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-80266448\ncustomer_id: 085a983e-24d3-487a-b81d-a2bface44673\ntimestamp: '2026-01-06T09:43:31.868124'\nitems:\n- sku: SKU-33405\n qty: 1\n price: 395.29\nsubtotal: 1516.47\ntax: 40.93\ntotal: 1938.54\npayment_method: paypal\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 135
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "I need experiment result details in XML structure."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<conclusion>non-significant</conclusion>\n<results>\n<metric>efficacy</metric>\n<baseline>93.21</baseline>\n<endpoint>61.08</endpoint>\n<p_value>0.4497</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>62.35</baseline>\n<endpoint>40.58</endpoint>\n<p_value>0.0611</p_value>\n</results>\n<experiment_id>EXP-212826</experiment_id>\n</experiment_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 183
}
|
[
{
"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: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"course_id\": \"CRS-3165\",\n \"code\": \"KHT173\",\n \"title\": \"Inverse well-modulated open architecture 101\",\n \"instructor\": \"John Blair\",\n \"credits\": 4,\n \"term\": \"Fall 2021\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"social\"\n },\n {\n \"week\": 2,\n \"topic\": \"eight\"\n },\n {\n \"week\": 3,\n \"topic\": \"land\"\n },\n {\n \"week\": 4,\n \"topic\": \"personal\"\n },\n {\n \"week\": 5,\n \"topic\": \"ahead\"\n },\n {\n \"week\": 6,\n \"topic\": \"treatment\"\n },\n {\n \"week\": 7,\n \"topic\": \"goal\"\n },\n {\n \"week\": 8,\n \"topic\": \"fear\"\n },\n {\n \"week\": 9,\n \"topic\": \"learn\"\n },\n {\n \"week\": 10,\n \"topic\": \"animal\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 280
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Produce a JSON document for a research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"paper_id\": \"arXiv:2021.67502\",\n \"title\": \"Decentralized zero-defect hardware\",\n \"authors\": [\n {\n \"name\": \"Jonathan Maldonado\",\n \"affiliation\": \"Miles-Strickland\",\n \"email\": \"glennschaefer@example.com\"\n },\n {\n \"name\": \"Tina Davis\",\n \"affiliation\": \"Simmons, King and Cooper\",\n \"email\": \"matthew39@example.org\"\n },\n {\n \"name\": \"Todd Jones\",\n \"affiliation\": \"Page, Williams and Miller\",\n \"email\": \"richardjohnson@example.com\"\n }\n ],\n \"abstract\": \"Another just all lose phone response. Language argue in expect how.\",\n \"keywords\": [\n \"then\",\n \"two\",\n \"interview\"\n ],\n \"publication\": {\n \"venue\": \"Nature\",\n \"year\": 2022,\n \"doi\": \"10.9816/ObNW\"\n },\n \"citations\": 306,\n \"funding_source\": \"Hamilton, Jones and Mullen\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 279
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate financial report data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Harris-White</company>\n<ticker>VLAU</ticker>\n<quarter>Q2 2020</quarter>\n<revenue>55235795</revenue>\n<expenses>44464340</expenses>\n<net_income>18864228</net_income>\n<eps>3.2</eps>\n<metrics>\n<profit_margin>8.85</profit_margin>\n<roe>20.25</roe>\n</metrics>\n</financial_report>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 162
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate lab result data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n \"result_id\": \"LAB-9340153\",\n \"patient_mrn\": \"MRN-301476\",\n \"order_date\": \"2026-01-02\",\n \"panel\": \"CBC\",\n \"results\": [\n {\n \"test\": \"WBC\",\n \"value\": 166.1,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 188.9,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 90.1,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 181.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 189.2,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 171.1,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 167.9,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 288
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n title: Robust foreground policy API\n version: 1.0.0\npaths:\n /Congress:\n get:\n summary: Fly medical strong such season book.\n parameters:\n - name: param0\n in: query\n type: string\n - name: param1\n in: query\n type: string\n responses:\n '200':\n description: Success\n '400':\n description: Bad Request\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "api_specification",
"estimated_tokens": 180
}
|
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