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[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Output research paper as YAML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nkeywords:\n- fly\n- source\n- learn\ncitations: 280\nauthors:\n- name: Mary Willis\n affiliation: West, Mills and Gates\n email: michael71@example.net\n- name: Kevin Conrad\n affiliation: Russell-Nguyen\n email: qhuff@example.net\nabstract: Hundred movie start shake must. Successful something field myself address.\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "research_paper", "estimated_tokens": 138 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Output product listing as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nstock = 22\ncurrency = \"USD\"\nname = \"Secured composite standardization\"\nreviews = 670\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "product_listing", "estimated_tokens": 79 }
[ { "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: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"txn_id\": \"TXN-32662434\",\n \"customer_id\": \"cbb5b83b-e9e1-4c5d-8430-84060849fa6a\",\n \"timestamp\": \"2026-01-04T10:26:54.482596\",\n \"items\": [\n {\n \"sku\": \"SKU-99009\",\n \"qty\": 1,\n \"price\": 67.63\n }\n ],\n \"subtotal\": 1707.11,\n \"tax\": 70.25,\n \"total\": 192.54,\n \"payment_method\": \"paypal\"\n}" } ]
{ "format": "json", "complexity": "medium", "schema": "transaction_record", "estimated_tokens": 139 }
[ { "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: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"result_id\": \"LAB-7647463\",\n \"patient_mrn\": \"MRN-989045\",\n \"order_date\": \"2026-01-02\",\n \"panel\": \"CMP\",\n \"results\": [\n {\n \"test\": \"Hemoglobin\",\n \"value\": 51.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 86.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 108.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 135.5,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 119.3,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 179.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 178.9,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n }\n ]\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "lab_result", "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": "Generate error log data in XML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>d292b8e1-d30c-4016-9370-a3f68fbbf067</error_id>\n<timestamp>2026-01-04T10:26:54.017315</timestamp>\n<level>ERROR</level>\n<service>whyService</service>\n<message>Step prove around suddenly full.</message>\n<stack_trace>at question.py:75</stack_trace>\n<stack_trace>at knowledge.py:423</stack_trace>\n<stack_trace>at hand.py:198</stack_trace>\n<stack_trace>at issue.py:135</stack_trace>\n<context>\n<user_id>fd22bf6f-ed7b-47db-bbfa-0d228bef16a9</user_id>\n<request_id>8eafc039-630c-4aad-979a-4d8e839de52c</request_id>\n</context>\n</error_log>" } ]
{ "format": "xml", "complexity": "medium", "schema": "error_log", "estimated_tokens": 206 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Generate news article data in CSV format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9572285,Alex Tran,Mother knowledge case fact enjoy. Computer notice discuss. Power president education election betwee,,,,,,\r\nART-7815554,Miranda Harris,\"Your people both exactly defense anything. Story person hard. Work wrong there owner.\nLine wall cost\",Reverse-engineered explicit focus group,2026-01-01T00:42:15.014380,Sports,141,\"[\"\"discussion\"\", \"\"respond\"\", \"\"all\"\"]\",3983\r\nART-7968141,Michelle Hays,\"Nor catch cup training they concern dream left. Assume enter article from meeting.\nInternational sto\",Versatile impactful synergy,2026-01-03T23:43:48.041950,Tech,2869,\"[\"\"health\"\", \"\"drop\"\", \"\"when\"\", \"\"quality\"\"]\",14459\r\nART-1130516,Daniel Wood,\"Reach example ago product nor. Face do left stop.\nLot tend shoulder. Thus understand value response \",Function-based contextually-based interface,2026-01-03T03:00:15.007605,Sports,2174,\"[\"\"environmental\"\", \"\"too\"\", \"\"book\"\", \"\"nature\"\"]\",39821\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "news_article", "estimated_tokens": 304 }
[ { "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: 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\n\nOutput:\ncategory,content,currency,date,helpful_votes,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Dream economic piece. Sure pattern stock reason can. May police analysis fly night.\nCenter want cand\",,2026-01-03,69,,,PROD-973073,2,REV-5476228,,,,,System why success us spring allow stuff Mr.,1fc5ad72-d95c-4615-87f9-d2b4fd95c642,True\r\nelectronics,,USD,,,Secured intermediate strategy,928.02,PROD-447702,2.6,,851,87x87x81cm,7.55,256,,,\r\nclothing,,USD,,,Decentralized non-volatile workforce,190.96,PROD-418220,3.82,,186,51x52x68cm,6.14,486,,,\r\n" } ]
{ "format": "csv", "complexity": "complex", "schema": "customer_review", "estimated_tokens": 213 }
[ { "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\n\nOutput:\nperiod: September 2024\ntotal_revenue: 9340694\nunits_sold: 39855\nchannels:\n- name: retail\n revenue: 4509801\n growth: 11.24\n- name: wholesale\n revenue: 4365975\n growth: 39.47\ntop_products:\n- sku: SKU-6159\n sales: 58459\n- sku: SKU-9356\n sales: 119801\n- sku: SKU-8991\n sales: 59873\n" } ]
{ "format": "yaml", "complexity": "medium", "schema": "sales_analytics", "estimated_tokens": 132 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Output prescription as JSON." }, { "role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"rx_id\": \"RX-7549692\",\n \"patient_mrn\": \"MRN-235122\",\n \"prescriber\": \"Molly Owen\",\n \"date\": \"2026-01-03\",\n \"medications\": [\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"10mg\",\n \"frequency\": \"TID\",\n \"quantity\": 90\n }\n ]\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "prescription", "estimated_tokens": 122 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Create a YAML representation of clinical note." }, { "role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npatient:\n mrn: MRN-824812\n age: 49\n gender: F\nnote_id: CN-1018048\nchief_complaint: fever\nencounter_date: '2026-01-02'\nvitals:\n bp: 126/92\n hr: 85\n temp_f: 97.7\n" } ]
{ "format": "yaml", "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": "Create a TOML representation of lab result." }, { "role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npatient_mrn = \"MRN-505391\"\norder_date = \"2026-01-01\"\nresult_id = \"LAB-5831885\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 185.3\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 155.8\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 131.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 120.4\nunit = \"mg/dL\"\nflag = \"normal\"\n\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "lab_result", "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": "Generate course syllabus data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncode: ZFZ491\nschedule:\n- week: 1\n topic: card\n- week: 2\n topic: group\n- week: 3\n topic: field\n- week: 4\n topic: current\n- week: 5\n topic: other\n- week: 6\n topic: maintain\n- week: 7\n topic: answer\n- week: 8\n topic: car\n- week: 9\n topic: lawyer\ncourse_id: CRS-4284\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "course_syllabus", "estimated_tokens": 130 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Create a YAML representation of error log." }, { "role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nerror_id: 7d527c72-66de-4b24-afec-54334292e202\ntimestamp: '2026-01-04T10:26:53.996680'\nlevel: CRITICAL\nservice: trainingService\nmessage: Position learn person information.\nstack_trace:\n- at physical.py:423\n- at drive.py:286\n- at need.py:138\n- at decide.py:325\ncontext:\n user_id: 30acf221-32c2-4b91-a4ea-496ccb343481\n request_id: 88084f07-51e2-41f0-98ea-8f87031208bd\n" } ]
{ "format": "yaml", "complexity": "complex", "schema": "error_log", "estimated_tokens": 151 }
[ { "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 prescription." }, { "role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"rx_id\": \"RX-1412523\",\n \"patient_mrn\": \"MRN-910323\",\n \"prescriber\": \"Jeremy Mcpherson\",\n \"date\": \"2026-01-01\",\n \"medications\": [\n {\n \"name\": \"Atorvastatin\",\n \"dosage\": \"5mg\",\n \"frequency\": \"BID\",\n \"quantity\": 60\n },\n {\n \"name\": \"Metformin\",\n \"dosage\": \"5mg\",\n \"frequency\": \"daily\",\n \"quantity\": 30\n }\n ]\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "prescription", "estimated_tokens": 152 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Generate course syllabus data in TOML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id = \"CRS-6643\"\ntitle = \"Quality-focused radical functionalities 101\"\ncredits = 4\ncode = \"UHI417\"\n[[schedule]]\nweek = 1\ntopic = \"soldier\"\n\n[[schedule]]\nweek = 2\ntopic = \"hotel\"\n\n[[schedule]]\nweek = 3\ntopic = \"subject\"\n\n[[schedule]]\nweek = 4\ntopic = \"soldier\"\n\n[[schedule]]\nweek = 5\ntopic = \"federal\"\n\n[[schedule]]\nweek = 6\ntopic = \"people\"\n\n[[schedule]]\nweek = 7\ntopic = \"life\"\n\n[[schedule]]\nweek = 8\ntopic = \"painting\"\n\n[[schedule]]\nweek = 9\ntopic = \"answer\"\n\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "course_syllabus", "estimated_tokens": 175 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Generate clinical note data in CSV format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,assessment,authors,chief_complaint,citations,keywords,paper_id,patient_age,patient_gender,patient_mrn,publication_doi,publication_venue,publication_year,title\r\n,\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J89\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I45\"\"}]\",,headache,,,,59,M,MRN-528621,,,,\r\nArticle perform always whether. Age blood into building. Light religious partner across.,,\"[{\"\"name\"\": \"\"Ryan Copeland\"\", \"\"affiliation\"\": \"\"Smith LLC\"\", \"\"email\"\": \"\"harrissamuel@example.org\"\"}, {\"\"name\"\"\",,240,\"[\"\"example\"\", \"\"Mr\"\", \"\"event\"\", \"\"rich\"\"]\",arXiv:2024.57454,,,,10.7446/fjnb,Cell,2023,Vision-oriented methodical neural-net\r\nCareer wear cell sort. Around allow address project.,,\"[{\"\"name\"\": \"\"Mrs. Shannon Stevenson\"\", \"\"affiliation\"\": \"\"Cox Inc\"\", \"\"email\"\": \"\"kenneth30@example.com\"\"}, {\"\"n\",,467,\"[\"\"girl\"\", \"\"value\"\", \"\"tree\"\", \"\"watch\"\"]\",arXiv:2021.66470,,,,10.8525/ZLmk,Nature,2022,Digitized multi-tasking software\r\nManager so during traditional support last threat court. Miss right manage finally just first teach.,,\"[{\"\"name\"\": \"\"Dana Gardner\"\", \"\"affiliation\"\": \"\"Zimmerman Ltd\"\", \"\"email\"\": \"\"perezbrenda@example.com\"\"}, {\"\"nam\",,16,\"[\"\"campaign\"\", \"\"remain\"\", \"\"article\"\", \"\"pull\"\", \"\"adult\"\"]\",arXiv:2020.83662,,,,10.3643/vOef,Nature,2021,Mandatory 24/7 customer loyalty\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "clinical_note", "estimated_tokens": 389 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Output student assessment as XML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-420026</assessment_id>\n<scores>\n<question>1</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>5</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>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<course_id>CRS-2408</course_id>\n</student_assessment>" } ]
{ "format": "xml", "complexity": "simple", "schema": "student_assessment", "estimated_tokens": 384 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Generate lab result data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nresult_id: LAB-5103442\npatient_mrn: MRN-782147\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Glucose\n value: 63.6\n unit: mg/dL\n flag: low\n- test: Glucose\n value: 56.2\n unit: mg/dL\n flag: low\n- test: Glucose\n value: 184.8\n unit: mg/dL\n flag: normal\n- test: Hemoglobin\n value: 138.4\n unit: g/dL\n flag: high\n- test: WBC\n value: 131.7\n unit: mg/dL\n flag: high\n- test: WBC\n value: 68.7\n unit: mg/dL\n flag: normal\n" } ]
{ "format": "yaml", "complexity": "medium", "schema": "lab_result", "estimated_tokens": 167 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Create a TOML representation of product listing." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nproduct_id = \"PROD-218209\"\nname = \"De-engineered exuding benchmark\"\ncategory = \"books\"\nprice = 402.22\ncurrency = \"USD\"\nstock = 890\nrating = 3.29\nreviews = 16\n\n[specs]\nweight_kg = 39.13\ndimensions = \"90x94x82cm\"\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "product_listing", "estimated_tokens": 110 }
[ { "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\n\nOutput:\nresults:\n- metric: safety\n baseline: 65.05\n endpoint: 35.78\n p_value: 0.2616\n- metric: safety\n baseline: 58.92\n endpoint: 95.87\n p_value: 0.0617\n- metric: safety\n baseline: 60.25\n endpoint: 64.01\n p_value: 0.2454\nexperiment_id: EXP-305940\ntitle: Effect of doctor on artist\nmethodology:\n design: cohort\n sample_size: 443\n duration_days: 325\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "experiment_result", "estimated_tokens": 150 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Output customer review as YAML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nhelpful_votes: 97\nverified_purchase: true\nreview_id: REV-1074923\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "customer_review", "estimated_tokens": 78 }
[ { "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: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-37639795</post_id>\n<platform>instagram</platform>\n<user_id>0912b10c-c422-47f5-bca3-2aee657a4e28</user_id>\n<username>zvega</username>\n<content>Term theory up cell learn enter wide. Up section international either beyond seem interest. Executive drug discover hear whether.\nFive project door. Participant bit card. However accept place cold.</content>\n<timestamp>2026-01-04T10:26:54.570380</timestamp>\n<hashtags>#chair</hashtags>\n<hashtags>#long</hashtags>\n<hashtags>#item</hashtags>\n<engagement>\n<likes>3904</likes>\n<shares>717</shares>\n<comments>434</comments>\n</engagement>\n</social_media_post>" } ]
{ "format": "xml", "complexity": "medium", "schema": "social_media_post", "estimated_tokens": 227 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Output prescription as CSV." }, { "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\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-871652,Amanda Duran,RX-9720986\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopri\",MRN-163425,Jonathan Mejia,RX-5673967\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\",MRN-331809,John Owens,RX-5009159\r\n" } ]
{ "format": "csv", "complexity": "medium", "schema": "prescription", "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": "Output api specification as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Reactive grid-enabled Local Area Network API\"\nversion = \"1.0.0\"\n\n[paths.\"/state\".get]\nsummary = \"Must information popular red after purpose.\"\n[[paths.\"/state\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/state\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/state\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/state\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/state\".get.responses.400]\ndescription = \"Bad Request\"\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "api_specification", "estimated_tokens": 194 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Generate clinical note data in CSV format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: 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\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J80\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I48\"\"}]\",fever,2026-01-03,CN-9061914,21,F,MRN-193970,136/106,78,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J31\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K24\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-03,CN-7068819,34,M,MRN-786406,145/103,103,99.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I68\"\"}]\",fever,2026-01-03,CN-3609226,18,F,MRN-881206,98/68,94,102.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K81\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K27\"\"}, {\"\"problem\"\": \"\"diab\",chest pain,2026-01-03,CN-4921123,28,F,MRN-855619,178/97,100,97.7\r\n" } ]
{ "format": "csv", "complexity": "complex", "schema": "clinical_note", "estimated_tokens": 254 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Generate product listing data in CSV format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncategory,currency,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,Horizontal optimal initiative,90.84,PROD-793222,4.32,808,36x39x29cm,14.38,76\r\nclothing,USD,Cloned national definition,223.22,PROD-756493,4.55,893,27x56x36cm,25.74,245\r\nelectronics,USD,Sharable radical success,460.75,PROD-507277,3.86,989,86x50x77cm,17.3,928\r\n" } ]
{ "format": "csv", "complexity": "medium", "schema": "product_listing", "estimated_tokens": 151 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Generate news article data in CSV format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1477029,,\"Training century sell short ok yet win. Recently left least treat word.\nRaise debate newspaper light\",Compatible grid-enabled process improvement,,Business,,,\r\nART-8290232,Laura Mcintosh,Network house ahead over. Any box fill dog large federal decision. Look behind class beyond kind ani,User-centric scalable model,2026-01-02T16:25:29.897610,Politics,3544,\"[\"\"become\"\", \"\"law\"\", \"\"simple\"\"]\",30189\r\nART-1131381,Christopher Medina,\"Artist himself figure bring during catch with.\nAttack low do age accept exactly forward strategy. Cl\",Distributed client-server synergy,2026-01-04T03:10:41.451923,Sports,3234,\"[\"\"others\"\", \"\"pressure\"\", \"\"bill\"\", \"\"theory\"\"]\",30896\r\nART-2413678,James Allen,\"Wait bring admit recent. Left ok now west. Agreement education hot organization.\nSuccessful old poli\",Open-architected system-worthy challenge,2026-01-01T23:56:16.689095,Tech,4457,\"[\"\"he\"\", \"\"ago\"\", \"\"responsibility\"\", \"\"now\"\"]\",90631\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "news_article", "estimated_tokens": 313 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Output contract as CSV." }, { "role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-965112,,\"[{\"\"name\"\": \"\"Dennis-Brooks\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Wilson and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,56,619411\r\nCTR-124417,2026-01-03,\"[{\"\"name\"\": \"\"Lewis-Walter\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Sawyer-Cabrera\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,43,828825\r\nCTR-994869,2026-01-02,\"[{\"\"name\"\": \"\"Scott-Ramirez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Boyd, Baker and Calhoun\"\", \"\"role\"\": \"\"party_b\"\"\",pending,15,716538\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "contract", "estimated_tokens": 189 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Output api specification as JSON." }, { "role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Cross-group reciprocal contingency API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/stuff\": {\n \"get\": {\n \"summary\": \"Draw low design soon.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n }\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "api_specification", "estimated_tokens": 225 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Generate news article data in XML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-7373726</article_id>\n<headline>Intuitive zero tolerance workforce</headline>\n<author>Lori Adkins</author>\n<published>2026-01-04T04:41:23.900196</published>\n<section>Sports</section>\n<content>Treat argue value all at contain mouth lawyer.\nPosition ten field activity professor room. Should five later surface. Whom increase should sell line writer interview.\nAir commercial movement table. Attorney purpose left theory film almost. Report analysis huge five interesting draw.</content>\n<tags>popular</tags>\n<tags>space</tags>\n<tags>painting</tags>\n<views>7643</views>\n<shares>2160</shares>\n</news_article>" } ]
{ "format": "xml", "complexity": "medium", "schema": "news_article", "estimated_tokens": 228 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Create a JSON representation of contract." }, { "role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"contract_id\": \"CTR-930361\",\n \"parties\": [\n {\n \"name\": \"Hansen and Sons\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Douglas, Farmer and Miller\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-01\",\n \"term_months\": 48,\n \"value\": 104030,\n \"status\": \"executed\"\n}" } ]
{ "format": "json", "complexity": "medium", "schema": "contract", "estimated_tokens": 134 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "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\n\nOutput:\n{\n \"result_id\": \"LAB-4226379\",\n \"patient_mrn\": \"MRN-561954\",\n \"order_date\": \"2026-01-03\",\n \"panel\": \"CBC\",\n \"results\": [\n {\n \"test\": \"Hemoglobin\",\n \"value\": 113.4,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 110.3,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 51.5,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 98.8,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n }\n ]\n}" } ]
{ "format": "json", "complexity": "medium", "schema": "lab_result", "estimated_tokens": 197 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Generate prescription data in XML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9039089</rx_id>\n<patient_mrn>MRN-971000</patient_mrn>\n<prescriber>Courtney Sanders</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>" } ]
{ "format": "xml", "complexity": "medium", "schema": "prescription", "estimated_tokens": 141 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Generate financial report data in TOML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nrevenue = 64814149\nquarter = \"Q4 2020\"\ncompany = \"Lucas-Vazquez\"\nnet_income = 17801782\n\n[metrics]\nprofit_margin = 24.97\nroe = 10.74\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "financial_report", "estimated_tokens": 91 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate financial report data in JSON format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"company\": \"Hicks PLC\",\n \"ticker\": \"MPHN\",\n \"expenses\": 36727401\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "financial_report", "estimated_tokens": 80 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Create a XML representation of api specification." }, { "role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Exclusive bandwidth-monitored emulation API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</positive>\n<get>\n<summary>Do one network well yard add vote.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>{'description': 'Success'}</200>\n<400>{'description': 'Bad Request'}</400>\n</responses>\n</get>\n<//positive>\n</paths>\n</api_specification>" } ]
{ "format": "xml", "complexity": "complex", "schema": "api_specification", "estimated_tokens": 227 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Output customer review as JSON." }, { "role": "assistant", "content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"review_id\": \"REV-1477431\",\n \"product_id\": \"PROD-961793\",\n \"user_id\": \"4e736519-d831-4a22-a499-a2f8db5aa267\",\n \"rating\": 5,\n \"title\": \"Strategy station their market save plant deep.\",\n \"content\": \"Though peace resource cover shoulder create fast guess. Control how answer song particular. Opportunity drop ask individual democratic look.\",\n \"date\": \"2026-01-01\",\n \"verified_purchase\": true,\n \"helpful_votes\": 71\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "customer_review", "estimated_tokens": 167 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of sales analytics." }, { "role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,channels,citations,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4992239, \"\"growth\"\": 7.38}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 4169240, \"\"\",,,,June 2024,,,,,745494,52437\r\n\"Parent national force. Score talk risk marriage recent direction attack science.\nStop baby reason.\",\"[{\"\"name\"\": \"\"Gloria Smith\"\", \"\"affiliation\"\": \"\"Mendoza-Thompson\"\", \"\"email\"\": \"\"rgillespie@example.net\"\"}, {\"\"n\",,302,\"[\"\"product\"\", \"\"social\"\", \"\"image\"\", \"\"network\"\", \"\"right\"\"]\",arXiv:2022.57350,,10.9950/OcJy,Science,2020,Synchronized systemic contingency,,\r\nMessage significant measure imagine that. Center course than these threat. Decade measure over regio,\"[{\"\"name\"\": \"\"Brett Ingram\"\", \"\"affiliation\"\": \"\"Evans, Johnson and Moore\"\", \"\"email\"\": \"\"lmeyer@example.com\"\"},\",,475,\"[\"\"not\"\", \"\"trade\"\", \"\"moment\"\", \"\"Congress\"\", \"\"pretty\"\"]\",arXiv:2023.44924,,10.8643/ozap,Nature,2022,Ergonomic incremental paradigm,,\r\nExecutive thought example Mr set across choice. Until church themselves early mean. Level window ope,\"[{\"\"name\"\": \"\"Christina Miller\"\", \"\"affiliation\"\": \"\"Walker, Brooks and Alexander\"\", \"\"email\"\": \"\"claudia25@exa\",,103,\"[\"\"my\"\", \"\"news\"\", \"\"practice\"\"]\",arXiv:2021.99779,,10.6848/kwlS,Nature,2023,Future-proofed bifurcated matrix,,\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "sales_analytics", "estimated_tokens": 399 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Create a XML representation of student assessment." }, { "role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<scores>\n<question>1</question>\n<points_earned>2</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>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</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>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<date>2026-01-01</date>\n<total_score>80</total_score>\n<course_id>CRS-2224</course_id>\n<percentage>77.73</percentage>\n</student_assessment>" } ]
{ "format": "xml", "complexity": "simple", "schema": "student_assessment", "estimated_tokens": 394 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Create a XML representation of customer review." }, { "role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<rating>1</rating>\n<date>2026-01-01</date>\n<content>Not marriage speak describe. Raise wait gas field single since important.\nNever cold method evidence bed. Student hope national about small join mention. Citizen difficult check here.</content>\n<verified_purchase>True</verified_purchase>\n</customer_review>" } ]
{ "format": "xml", "complexity": "simple", "schema": "customer_review", "estimated_tokens": 152 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of course syllabus." }, { "role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nUHI417,CRS-6643,4,,,,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"soldier\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hotel\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"subject\"\"}, {\"\"\",,Quality-focused radical functionalities 101\r\nXGB153,CRS-9188,3,40,30,30,Monique Miller,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"deal\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"officer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"yet\"\"}, {\"\"week\"\"\",Spring 2022,Optional content-based framework 101\r\nIPW260,CRS-1305,4,40,30,30,Kristen Allen,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"change\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"raise\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"after\"\"}, {\"\"wee\",Fall 2022,Focused bandwidth-monitored model 101\r\nCUJ212,CRS-2315,3,40,30,30,Bryan Wright,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"picture\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"PM\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"reduce\"\"}, {\"\"week\",Spring 2022,Optional transitional orchestration 101\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "course_syllabus", "estimated_tokens": 294 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Output api specification as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Expanded intangible algorithm API\"\nversion = \"1.0.0\"\n\n[paths.\"/thought\".get]\nsummary = \"Course fund level prevent foreign.\"\n[[paths.\"/thought\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/thought\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/thought\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/thought\".get.responses.400]\ndescription = \"Bad Request\"\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "api_specification", "estimated_tokens": 171 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate sales analytics data in JSON format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"period\": \"September 2024\",\n \"total_revenue\": 9340694,\n \"units_sold\": 39855,\n \"channels\": [\n {\n \"name\": \"retail\",\n \"revenue\": 4509801,\n \"growth\": 11.24\n },\n {\n \"name\": \"wholesale\",\n \"revenue\": 4365975,\n \"growth\": 39.47\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-6159\",\n \"sales\": 58459\n },\n {\n \"sku\": \"SKU-9356\",\n \"sales\": 119801\n },\n {\n \"sku\": \"SKU-8991\",\n \"sales\": 59873\n }\n ]\n}" } ]
{ "format": "json", "complexity": "medium", "schema": "sales_analytics", "estimated_tokens": 180 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Generate product listing data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nspecs:\n weight_kg: 46.62\n dimensions: 90x26x37cm\nreviews: 354\nname: Switchable web-enabled product\nprice: 196.09\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "product_listing", "estimated_tokens": 90 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Create a YAML representation of clinical note." }, { "role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nnote_id: CN-2193319\npatient:\n mrn: MRN-501432\n age: 30\n gender: M\nencounter_date: '2026-01-01'\nchief_complaint: headache\nvitals:\n bp: 170/74\n hr: 103\n temp_f: 97.4\nassessment:\n- problem: hypertension\n icd10: J79\n" } ]
{ "format": "yaml", "complexity": "complex", "schema": "clinical_note", "estimated_tokens": 115 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Output financial report as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncompany = \"Taylor-Brown\"\nticker = \"RATQ\"\nquarter = \"Q2 2020\"\nrevenue = 28691229\nexpenses = 14070360\nnet_income = 3513083\neps = 3.15\n\n[metrics]\nprofit_margin = 10.88\nroe = 12.86\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "financial_report", "estimated_tokens": 101 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Generate sales analytics data in XML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2024</period>\n<total_revenue>9746835</total_revenue>\n<units_sold>95253</units_sold>\n<channels>\n<name>online</name>\n<revenue>1612097</revenue>\n<growth>24.25</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4641467</revenue>\n<growth>11.67</growth>\n</channels>\n<top_products>\n<sku>SKU-6905</sku>\n<sales>499855</sales>\n</top_products>\n<top_products>\n<sku>SKU-9006</sku>\n<sales>497552</sales>\n</top_products>\n<top_products>\n<sku>SKU-6240</sku>\n<sales>280537</sales>\n</top_products>\n</sales_analytics>" } ]
{ "format": "xml", "complexity": "medium", "schema": "sales_analytics", "estimated_tokens": 205 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Output transaction record as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntxn_id = \"TXN-96684038\"\ncustomer_id = \"7c5fd8da-60af-42d1-9507-68827aa836ff\"\ntimestamp = \"2026-01-04T10:26:54.243901\"\nsubtotal = 692.07\ntax = 126.3\ntotal = 1542.7\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-91348\"\nqty = 5\nprice = 203.03\n\n[[items]]\nsku = \"SKU-27841\"\nqty = 5\nprice = 114.78\n\n[[items]]\nsku = \"SKU-43270\"\nqty = 3\nprice = 168.41\n\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "transaction_record", "estimated_tokens": 144 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate prescription data in JSON format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"rx_id\": \"RX-6067356\",\n \"date\": \"2026-01-03\",\n \"patient_mrn\": \"MRN-543092\"\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "prescription", "estimated_tokens": 81 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Generate news article data in TOML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\narticle_id = \"ART-8137725\"\nheadline = \"Proactive secondary forecast\"\nauthor = \"Edward King\"\npublished = \"2026-01-03T05:02:32.906946\"\nsection = \"Business\"\ncontent = \"Fly pass young wear light wind. Deep high often single develop pull brother.\\nEstablish just record read behavior. Eight quickly unit late.\\nWoman heart continue out for. Skill catch say much position memory. Capital father artist million result.\"\ntags = [ \"certain\", \"she\", \"huge\", \"nor\",]\nviews = 6867\nshares = 2032\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "news_article", "estimated_tokens": 177 }
[ { "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: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npaper_id = \"arXiv:2024.25122\"\ntitle = \"Operative client-driven info-mediaries\"\nabstract = \"Raise determine face factor. Congress those partner every.\"\nkeywords = [ \"blue\", \"region\", \"but\", \"may\",]\ncitations = 375\n[[authors]]\nname = \"Jeffrey Perry\"\naffiliation = \"Duffy and Sons\"\nemail = \"castillorebecca@example.com\"\n\n[[authors]]\nname = \"Sheri Rivera\"\naffiliation = \"Gordon LLC\"\nemail = \"shaffererin@example.org\"\n\n[[authors]]\nname = \"Raymond Miller\"\naffiliation = \"Carter-Parker\"\nemail = \"yatessarah@example.com\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.6438/ffEm\"\n" } ]
{ "format": "toml", "complexity": "complex", "schema": "research_paper", "estimated_tokens": 202 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate news article data in JSON format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"views\": 55319,\n \"shares\": 435,\n \"headline\": \"Optional uniform monitoring\",\n \"article_id\": \"ART-5425211\",\n \"author\": \"Stacey Rodriguez\"\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "news_article", "estimated_tokens": 97 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Output course syllabus as CSV." }, { "role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: 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\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nYNJ107,CRS-6846,4,40,30,30,Rachel Mitchell,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"exactly\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"shake\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"leader\"\"}, {\"\"w\",Spring 2024,Reactive demand-driven matrices 101\r\nNUI138,CRS-8173,4,40,30,30,Heather Lopez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"section\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"save\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"science\"\"}, {\"\"w\",Spring 2022,Triple-buffered actuating customer loyalty 101\r\nEXT351,CRS-7216,3,40,30,30,Robert Valdez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"man\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"discussion\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"suggest\"\"}, {\",Spring 2020,Quality-focused bandwidth-monitored firmware 101\r\nWAT474,CRS-8173,3,40,30,30,Monica Clark,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"general\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"their\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"front\"\"}, {\"\"we\",Spring 2020,Fundamental motivating adapter 101\r\n" } ]
{ "format": "csv", "complexity": "complex", "schema": "course_syllabus", "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": "Create a XML representation of error log." }, { "role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>31b87524-77e5-4bb9-96e7-09a11104b4c0</error_id>\n<timestamp>2026-01-04T10:26:54.118981</timestamp>\n<level>ERROR</level>\n<service>officeService</service>\n<message>Design direction most reach as same.</message>\n<stack_trace>at fine.py:322</stack_trace>\n<stack_trace>at story.py:159</stack_trace>\n<stack_trace>at father.py:453</stack_trace>\n<stack_trace>at education.py:56</stack_trace>\n<context>\n<user_id>dd7d477b-2e42-45c1-b4eb-9690a858f21a</user_id>\n<request_id>734742e2-2f36-4818-b3db-1fca024174dc</request_id>\n</context>\n</error_log>" } ]
{ "format": "xml", "complexity": "complex", "schema": "error_log", "estimated_tokens": 208 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Generate news article data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntags:\n- kitchen\n- page\n- reason\n- just\nshares: 1614\nauthor: Brianna Burton MD\ncontent: 'Risk dinner ahead son front finish. Including painting will police. Offer\n around among technology whatever public.\n\n Write usually letter herself wall. Ground tax board ahead. East detail arrive include\n how probably.'\narticle_id: ART-4847870\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "news_article", "estimated_tokens": 145 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate error log data in JSON format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"error_id\": \"0ddf3b2e-c0b7-48c2-a02f-be268656f4a6\",\n \"timestamp\": \"2026-01-04T10:26:54.464811\",\n \"level\": \"WARNING\",\n \"service\": \"pastService\",\n \"message\": \"Interest above wife add surface girl keep safe.\",\n \"stack_trace\": [\n \"at business.py:119\",\n \"at relationship.py:283\",\n \"at have.py:305\",\n \"at follow.py:279\"\n ],\n \"context\": {\n \"user_id\": \"0fee10d6-a446-4aff-b0c3-0717b8b97a75\",\n \"request_id\": \"65b6e857-1714-41a3-89ca-d935a228655f\"\n }\n}" } ]
{ "format": "json", "complexity": "medium", "schema": "error_log", "estimated_tokens": 177 }
[ { "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 product listing." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nproduct_id: PROD-372115\nname: Vision-oriented zero administration database\ncategory: books\nprice: 770.73\ncurrency: USD\nstock: 847\nrating: 3.78\nreviews: 769\nspecs:\n weight_kg: 13.76\n dimensions: 41x62x85cm\n" } ]
{ "format": "yaml", "complexity": "medium", "schema": "product_listing", "estimated_tokens": 112 }
[ { "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: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nnote_id = \"CN-7695649\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K80\"\n\n[patient]\nmrn = \"MRN-107690\"\nage = 65\ngender = \"F\"\n\n[vitals]\nbp = \"146/99\"\nhr = 70\ntemp_f = 102.6\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "clinical_note", "estimated_tokens": 114 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Generate transaction record data in CSV format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,customer_id,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,subtotal,timestamp,title\r\n,,,b3784811-3936-42da-9724-d06dd7b60994,,,credit_card,,,,1838.05,2026-01-04T10:26:54.305805,\r\nFactor less watch page.,\"[{\"\"name\"\": \"\"Patty Ward\"\", \"\"affiliation\"\": \"\"Villa-Zhang\"\", \"\"email\"\": \"\"dlopez@example.com\"\"}, {\"\"name\"\": \"\"Matt\",479,,\"[\"\"physical\"\", \"\"think\"\", \"\"people\"\", \"\"throw\"\"]\",arXiv:2022.89628,,10.3180/xUeJ,Nature,2020,,,Decentralized uniform array\r\nDebate capital look indeed level other. One stage those kitchen bank.,\"[{\"\"name\"\": \"\"Marcia Reed\"\", \"\"affiliation\"\": \"\"Beltran-Petersen\"\", \"\"email\"\": \"\"morganangela@example.org\"\"}, {\"\"\",356,,\"[\"\"hand\"\", \"\"avoid\"\", \"\"another\"\", \"\"ground\"\"]\",arXiv:2024.36572,,10.4435/BgDu,Nature,2023,,,Streamlined grid-enabled open architecture\r\nPerform tax feel worker at here movement. Difference fire rock woman push. Step win us anyone road i,\"[{\"\"name\"\": \"\"Michael Bailey\"\", \"\"affiliation\"\": \"\"Moore, Chaney and Wilson\"\", \"\"email\"\": \"\"scottmassey@example\",14,,\"[\"\"star\"\", \"\"system\"\", \"\"let\"\", \"\"enough\"\"]\",arXiv:2022.14293,,10.8254/spkX,Cell,2023,,,Switchable user-facing paradigm\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "transaction_record", "estimated_tokens": 358 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Create a JSON representation of course syllabus." }, { "role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"code\": \"SSC470\",\n \"course_id\": \"CRS-4471\",\n \"instructor\": \"Justin Ingram\"\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "course_syllabus", "estimated_tokens": 82 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of financial report." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nHicks PLC,,36727401,,,,,,MPHN\r\nPerkins PLC,6.39,29204100,12.34,6.53,6089172,Q4 2020,72568927,CITD\r\nJones Group,4.99,56139566,7.81,8.39,11769514,Q2 2020,14854825,ALPU\r\n" } ]
{ "format": "csv", "complexity": "simple", "schema": "financial_report", "estimated_tokens": 125 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate social media post data in JSON format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"platform\": \"instagram\",\n \"engagement\": {\n \"likes\": 7355,\n \"shares\": 402,\n \"comments\": 177\n },\n \"user_id\": \"55eb8c0b-1c98-46a3-880f-38a0c5553dbd\"\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "social_media_post", "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": "Create a TOML representation of product listing." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nproduct_id = \"PROD-282852\"\nname = \"De-engineered systemic projection\"\ncategory = \"electronics\"\nprice = 328.75\ncurrency = \"USD\"\nstock = 553\nrating = 2.8\nreviews = 168\n\n[specs]\nweight_kg = 34.1\ndimensions = \"51x18x59cm\"\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "product_listing", "estimated_tokens": 111 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Output experiment result as YAML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nexperiment_id: EXP-619863\nmethodology:\n design: observational\n sample_size: 731\n duration_days: 104\nresults:\n- metric: safety\n baseline: 44.66\n endpoint: 82.03\n p_value: 0.214\n- metric: efficacy\n baseline: 13.11\n endpoint: 94.53\n p_value: 0.0774\nconclusion: non-significant\ntitle: Effect of current on statement\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "experiment_result", "estimated_tokens": 142 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Output experiment result as XML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-481937</experiment_id>\n<title>Effect of seek on condition</title>\n<methodology>\n<design>RCT</design>\n<sample_size>740</sample_size>\n<duration_days>68</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>94.28</baseline>\n<endpoint>28.07</endpoint>\n<p_value>0.1202</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>46.46</baseline>\n<endpoint>12.0</endpoint>\n<p_value>0.2705</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>" } ]
{ "format": "xml", "complexity": "complex", "schema": "experiment_result", "estimated_tokens": 204 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Generate student assessment data in XML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<total_score>51</total_score>\n<grade>A</grade>\n<course_id>CRS-5030</course_id>\n</student_assessment>" } ]
{ "format": "xml", "complexity": "simple", "schema": "student_assessment", "estimated_tokens": 102 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of product listing." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncategory,currency,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,Face-to-face dynamic forecast,220.77,PROD-796903,1.14,813,58x61x72cm,36.3,274\r\nbooks,USD,Innovative dedicated task-force,121.93,PROD-662653,1.42,193,25x72x22cm,41.39,882\r\nbooks,USD,Vision-oriented value-added protocol,505.29,PROD-621277,3.0,96,85x88x91cm,0.11,609\r\nelectronics,USD,Operative multi-tasking capacity,120.09,PROD-827476,3.63,902,83x100x94cm,24.35,104\r\n" } ]
{ "format": "csv", "complexity": "medium", "schema": "product_listing", "estimated_tokens": 178 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of research paper." }, { "role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: 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\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Direction left all daughter war. Hot bad response federal blood court throughout father.\nFoot list s\",\"[{\"\"name\"\": \"\"Sheila Johnson\"\", \"\"affiliation\"\": \"\"Everett, Graham and White\"\", \"\"email\"\": \"\"erin93@example.org\",82,\"[\"\"in\"\", \"\"picture\"\", \"\"week\"\"]\",arXiv:2024.66341,10.2493/rPmM,Nature,2020,Intuitive needs-based throughput\r\n\"Card themselves yet best. Our road build option.\nClear employee Republican someone next forward. Loo\",\"[{\"\"name\"\": \"\"Austin Brown\"\", \"\"affiliation\"\": \"\"Wolfe-Decker\"\", \"\"email\"\": \"\"vaughnjoel@example.org\"\"}, {\"\"name\"\"\",50,\"[\"\"affect\"\", \"\"region\"\", \"\"line\"\"]\",arXiv:2023.21014,10.2967/bibv,Science,2020,Organic homogeneous instruction set\r\n\"Will whom answer agreement reach chair bad every. Three from seem.\nCould one language early pay.\",\"[{\"\"name\"\": \"\"Christopher Jackson\"\", \"\"affiliation\"\": \"\"Jimenez, Raymond and Mcfarland\"\", \"\"email\"\": \"\"rodrigue\",230,\"[\"\"out\"\", \"\"live\"\", \"\"opportunity\"\", \"\"resource\"\"]\",arXiv:2020.49696,10.4050/Ubmi,Cell,2022,Managed solution-oriented conglomeration\r\nNational create study fear visit investment ever. Rather so consider section rock. Even bring descri,\"[{\"\"name\"\": \"\"Brenda Cunningham\"\", \"\"affiliation\"\": \"\"Hill PLC\"\", \"\"email\"\": \"\"paul09@example.net\"\"}, {\"\"name\"\": \"\"\",97,\"[\"\"reason\"\", \"\"expect\"\", \"\"Congress\"\"]\",arXiv:2021.33545,10.2002/nLEw,Cell,2020,Innovative even-keeled application\r\n" } ]
{ "format": "csv", "complexity": "complex", "schema": "research_paper", "estimated_tokens": 426 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Generate transaction record data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntimestamp: '2026-01-04T10:26:53.807252'\ntxn_id: TXN-75356925\ntotal: 2064.43\nitems:\n- sku: SKU-48347\n qty: 1\n price: 201.25\n- sku: SKU-31281\n qty: 5\n price: 223.88\n- sku: SKU-30073\n qty: 2\n price: 200.8\n- sku: SKU-27524\n qty: 4\n price: 299.11\ntax: 89.98\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "transaction_record", "estimated_tokens": 128 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Generate financial report data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncompany: Smith, Robinson and Murray\nticker: TKKZ\nquarter: Q1 2024\nrevenue: 68288195\nexpenses: 56329235\nnet_income: 9836758\neps: 7.27\nmetrics:\n profit_margin: 23.6\n roe: 21.0\n" } ]
{ "format": "yaml", "complexity": "medium", "schema": "financial_report", "estimated_tokens": 105 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Generate financial report data in TOML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncompany = \"Allen-Graham\"\nticker = \"GGVK\"\nquarter = \"Q3 2020\"\nrevenue = 3299420\nexpenses = 31251148\nnet_income = 9918533\neps = 9.65\n\n[metrics]\nprofit_margin = 13.95\nroe = 17.56\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "financial_report", "estimated_tokens": 101 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Generate sales analytics data in XML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<channels>\n<name>retail</name>\n<revenue>4998332</revenue>\n<growth>32.93</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>358966</revenue>\n<growth>32.49</growth>\n</channels>\n<period>October 2024</period>\n<total_revenue>6075680</total_revenue>\n<top_products>\n<sku>SKU-2324</sku>\n<sales>427588</sales>\n</top_products>\n<top_products>\n<sku>SKU-9163</sku>\n<sales>280258</sales>\n</top_products>\n<top_products>\n<sku>SKU-2404</sku>\n<sales>51491</sales>\n</top_products>\n<units_sold>30842</units_sold>\n</sales_analytics>" } ]
{ "format": "xml", "complexity": "simple", "schema": "sales_analytics", "estimated_tokens": 206 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Create a XML representation of contract." }, { "role": "assistant", "content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-746996</contract_id>\n<parties>\n<name>Williams-Vargas</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Hurley-Fleming</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>29</term_months>\n<value>278553</value>\n<status>executed</status>\n</contract>" } ]
{ "format": "xml", "complexity": "medium", "schema": "contract", "estimated_tokens": 149 }
[ { "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: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nperiod = \"April 2024\"\ntotal_revenue = 9313478\n[[top_products]]\nsku = \"SKU-5457\"\nsales = 74706\n\n[[top_products]]\nsku = \"SKU-4965\"\nsales = 123327\n\n[[top_products]]\nsku = \"SKU-8615\"\nsales = 425414\n\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "sales_analytics", "estimated_tokens": 107 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of research paper." }, { "role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nPicture consider consider reduce rock reason hotel. Whatever face under billion.,\"[{\"\"name\"\": \"\"Jennifer Bowman\"\", \"\"affiliation\"\": \"\"Bradford-Jones\"\", \"\"email\"\": \"\"tiffanythomas@example.org\"\"},\",143,\"[\"\"factor\"\", \"\"forget\"\", \"\"sense\"\", \"\"indicate\"\"]\",arXiv:2021.11126,10.4181/iIge,Nature,2023,Compatible maximized info-mediaries\r\n\"Life trade edge.\nBest still create inside commercial rise management author. Chair respond happen pe\",\"[{\"\"name\"\": \"\"Patrick Nelson V\"\", \"\"affiliation\"\": \"\"Mcdowell, Crawford and Reed\"\", \"\"email\"\": \"\"shenderson@exa\",254,\"[\"\"third\"\", \"\"hour\"\", \"\"so\"\", \"\"tonight\"\", \"\"shake\"\"]\",arXiv:2020.30532,10.2878/konR,Nature,2021,Virtual real-time challenge\r\nRepresent mission yard stage region together kid. Perhaps country news station treatment follow.,\"[{\"\"name\"\": \"\"Ryan Thompson\"\", \"\"affiliation\"\": \"\"Estes, Lutz and Miller\"\", \"\"email\"\": \"\"parkerlisa@example.net\",386,\"[\"\"wish\"\", \"\"wrong\"\", \"\"catch\"\", \"\"summer\"\", \"\"front\"\"]\",arXiv:2022.35050,10.4910/Lree,Science,2021,Profound well-modulated projection\r\n" } ]
{ "format": "csv", "complexity": "medium", "schema": "research_paper", "estimated_tokens": 343 }
[ { "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\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<hashtags>#each</hashtags>\n<hashtags>#believe</hashtags>\n<hashtags>#crime</hashtags>\n<hashtags>#couple</hashtags>\n<user_id>034bce6d-41bd-46bd-b9c9-9d9bc546b90d</user_id>\n<content>Art rise gas. Involve head more at ago billion mind defense. Only also physical foreign.\nExactly here note sister level future stop. Ago than organization human. Third view area lawyer point.</content>\n<platform>twitter</platform>\n</social_media_post>" } ]
{ "format": "xml", "complexity": "simple", "schema": "social_media_post", "estimated_tokens": 184 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Create a YAML representation of research paper." }, { "role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nauthors:\n- name: Sean Velazquez\n affiliation: Hill-Garcia\n email: christiandouglas@example.net\n- name: Katherine Gaines\n affiliation: Durham-Allen\n email: tstark@example.net\n- name: Charles Ramirez\n affiliation: Wang LLC\n email: stricklandsergio@example.com\nkeywords:\n- deep\n- town\n- who\n- third\npaper_id: arXiv:2021.11210\nabstract: 'Easy artist total camera. Town method training level.\n\n Bit medical sound executive center about difficult serve.'\ntitle: Switchable regional collaboration\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "research_paper", "estimated_tokens": 186 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Generate error log data in JSON format." }, { "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\n\nOutput:\n{\n \"error_id\": \"cb5a37ce-f3e4-475c-8998-cde42de0eab8\",\n \"timestamp\": \"2026-01-04T10:26:54.092962\",\n \"level\": \"ERROR\",\n \"service\": \"generalService\",\n \"message\": \"Music good reality expert similar character theory.\",\n \"stack_trace\": [\n \"at firm.py:447\",\n \"at fine.py:142\"\n ],\n \"context\": {\n \"user_id\": \"955b3bbb-a716-4190-bf6f-509a0a52a429\",\n \"request_id\": \"948f15a3-3094-4de2-99f4-ecd9df3b83a7\"\n }\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "error_log", "estimated_tokens": 164 }
[ { "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\n\nOutput:\n{\n \"assessment_id\": \"ASMT-136995\",\n \"student_id\": \"STU-737191\",\n \"course_id\": \"CRS-5879\",\n \"type\": \"assignment\",\n \"date\": \"2026-01-02\",\n \"scores\": [\n {\n \"question\": 1,\n \"points_earned\": 9,\n \"points_possible\": 10\n },\n {\n \"question\": 2,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 3,\n \"points_earned\": 2,\n \"points_possible\": 10\n },\n {\n \"question\": 4,\n \"points_earned\": 3,\n \"points_possible\": 10\n },\n {\n \"question\": 5,\n \"points_earned\": 9,\n \"points_possible\": 10\n },\n {\n \"question\": 6,\n \"points_earned\": 6,\n \"points_possible\": 10\n },\n {\n \"question\": 7,\n \"points_earned\": 7,\n \"points_possible\": 10\n },\n {\n \"question\": 8,\n \"points_earned\": 10,\n \"points_possible\": 10\n },\n {\n \"question\": 9,\n \"points_earned\": 7,\n \"points_possible\": 10\n }\n ],\n \"total_score\": 85,\n \"percentage\": 89.79,\n \"grade\": \"A\"\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "student_assessment", "estimated_tokens": 315 }
[ { "role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML." }, { "role": "user", "content": "Create a XML representation of course syllabus." }, { "role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<code>ZFZ491</code>\n<schedule>\n<week>1</week>\n<topic>card</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>group</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>field</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>current</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>other</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>maintain</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>answer</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>car</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>lawyer</topic>\n</schedule>\n<course_id>CRS-4284</course_id>\n</course_syllabus>" } ]
{ "format": "xml", "complexity": "simple", "schema": "course_syllabus", "estimated_tokens": 227 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Create a TOML representation of clinical note." }, { "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\n\nOutput:\nnote_id = \"CN-3375303\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I22\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I34\"\n\n[patient]\nmrn = \"MRN-702723\"\nage = 85\ngender = \"F\"\n\n[vitals]\nbp = \"170/63\"\nhr = 86\ntemp_f = 99.0\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "clinical_note", "estimated_tokens": 128 }
[ { "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 lab result." }, { "role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"patient_mrn\": \"MRN-282047\",\n \"result_id\": \"LAB-6775988\",\n \"panel\": \"Lipid\",\n \"results\": [\n {\n \"test\": \"WBC\",\n \"value\": 166.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 51.8,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 183.3,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 189.2,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 164.1,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 144.5,\n \"unit\": \"g/dL\",\n \"flag\": \"normal\"\n }\n ],\n \"order_date\": \"2026-01-03\"\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "lab_result", "estimated_tokens": 245 }
[ { "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: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntotal_score = 79\npercentage = 87.38\nstudent_id = \"STU-366413\"\ntype = \"quiz\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 5\npoints_possible = 10\n\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "student_assessment", "estimated_tokens": 271 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Create a CSV representation of error log." }, { "role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,03e3cc1c-b3d3-4380-949b-08022bc266cd,20e2e211-3e15-48c8-890f-e9e8b33307ef,25bd37f2-35c2-47fc-80c0-adfda54d8fb1,,WARNING,Time who history morning speech animal.,,,,,militaryService,\"[\"\"at medical.py:498\"\", \"\"at sister.py:280\"\"]\",2026-01-04T10:26:54.691825,\r\nThousand either glass billion pretty. World hotel memory mission help lawyer. Free window official f,\"[{\"\"name\"\": \"\"Danielle Lopez\"\", \"\"affiliation\"\": \"\"Richards Group\"\", \"\"email\"\": \"\"crossstanley@example.net\"\"}, {\",426,,,,\"[\"\"onto\"\", \"\"town\"\", \"\"have\"\", \"\"service\"\"]\",,,arXiv:2024.69438,10.5767/KyVZ,Cell,2021,,,,User-friendly directional Graphical User Interface\r\nCause chair system should military yet. Care floor eight trouble role face maintain. Might six save ,\"[{\"\"name\"\": \"\"Sheila Brown\"\", \"\"affiliation\"\": \"\"Richardson-Thomas\"\", \"\"email\"\": \"\"david38@example.net\"\"}, {\"\"nam\",497,,,,\"[\"\"practice\"\", \"\"tonight\"\", \"\"whom\"\", \"\"debate\"\", \"\"parent\"\"]\",,,arXiv:2021.43746,10.3824/ajEv,Science,2022,,,,Enhanced secondary product\r\n" } ]
{ "format": "csv", "complexity": "medium", "schema": "error_log", "estimated_tokens": 353 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Generate research paper data in TOML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npaper_id = \"arXiv:2024.53185\"\ntitle = \"Operative radical adapter\"\nabstract = \"Never soldier seem sister child or free road. Four garden rest arm action.\\nRole hour size baby. Later probably last area among political energy.\"\nkeywords = [ \"study\", \"cup\", \"yet\", \"kind\",]\ncitations = 226\n[[authors]]\nname = \"Alan Murray\"\naffiliation = \"Johnson-Solis\"\nemail = \"iwilkerson@example.com\"\n\n[[authors]]\nname = \"Jennifer Martin\"\naffiliation = \"Myers Ltd\"\nemail = \"michael44@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2020\ndoi = \"10.2825/kzZa\"\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "research_paper", "estimated_tokens": 193 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "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\n\nOutput:\nassessment_id = \"ASMT-118337\"\nstudent_id = \"STU-998354\"\ncourse_id = \"CRS-1074\"\ntype = \"quiz\"\ndate = \"2026-01-03\"\ntotal_score = 69\npercentage = 82.29\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 10\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": "Create a JSON representation of product listing." }, { "role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"name\": \"Enterprise-wide systemic encoding\",\n \"stock\": 174,\n \"reviews\": 982\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "product_listing", "estimated_tokens": 82 }
[ { "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\n\nOutput:\npaper_id: arXiv:2021.13573\ntitle: Advanced multi-tasking contingency\nauthors:\n- name: Keith Taylor\n affiliation: Davis-Smith\n email: jacob10@example.org\n- name: Todd Douglas\n affiliation: Martin-Brown\n email: watkinsbrett@example.org\n- name: Donald Thompson\n affiliation: Turner, Davidson and Melton\n email: ysmith@example.org\nabstract: Community industry tell score. Side science woman military. Short provide\n expect guess.\nkeywords:\n- seven\n- mention\n- begin\n- space\n- with\npublication:\n venue: Nature\n year: 2020\n doi: 10.2199/bNhh\ncitations: 281\n" } ]
{ "format": "yaml", "complexity": "medium", "schema": "research_paper", "estimated_tokens": 200 }
[ { "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: 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\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nQuality executive close whole past else million. At edge everybody detail star painting where.,\"[{\"\"name\"\": \"\"Eric Gordon\"\", \"\"affiliation\"\": \"\"Snyder, Wells and Smith\"\", \"\"email\"\": \"\"williammontes@example.o\",459,\"[\"\"control\"\", \"\"once\"\", \"\"trial\"\"]\",arXiv:2023.18880,10.1675/hSUi,Science,2022,Devolved motivating firmware\r\nRelationship however true. Respond focus maintain two. Then follow let rule.,\"[{\"\"name\"\": \"\"Tracy Gibbs\"\", \"\"affiliation\"\": \"\"Porter Group\"\", \"\"email\"\": \"\"barberbrandi@example.net\"\"}, {\"\"name\",429,\"[\"\"should\"\", \"\"each\"\", \"\"five\"\", \"\"claim\"\"]\",arXiv:2024.32686,10.3971/hTjq,Science,2023,Customizable analyzing ability\r\nSell hear involve respond American forward test. Resource first strategy since.,\"[{\"\"name\"\": \"\"Carl Hanson\"\", \"\"affiliation\"\": \"\"Watson, Miller and Gray\"\", \"\"email\"\": \"\"hollowaykevin@example.n\",277,\"[\"\"fly\"\", \"\"majority\"\", \"\"statement\"\", \"\"support\"\"]\",arXiv:2022.22573,10.9265/OyQy,Science,2024,Pre-emptive explicit methodology\r\n" } ]
{ "format": "csv", "complexity": "complex", "schema": "research_paper", "estimated_tokens": 328 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Generate social media post data in TOML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npost_id = \"POST-24047885\"\nplatform = \"twitter\"\nuser_id = \"7436f59f-9fe6-48ad-bb5b-8a11bb07c754\"\nusername = \"lori41\"\ncontent = \"Stock know war knowledge dinner middle minute. List form authority threat there mother dark. Home interesting wide.\\nHim conference citizen action. Light later if.\"\ntimestamp = \"2026-01-04T10:26:54.396647\"\nhashtags = [ \"#military\", \"#drug\", \"#wife\", \"#difference\",]\n\n[engagement]\nlikes = 7753\nshares = 534\ncomments = 68\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "social_media_post", "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": "Output transaction record as JSON." }, { "role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"txn_id\": \"TXN-86512396\",\n \"customer_id\": \"c3a77b6f-2e20-4e7f-b5c9-5654dfa538d2\",\n \"timestamp\": \"2026-01-04T10:26:54.793824\",\n \"items\": [\n {\n \"sku\": \"SKU-28228\",\n \"qty\": 2,\n \"price\": 123.29\n },\n {\n \"sku\": \"SKU-26622\",\n \"qty\": 4,\n \"price\": 13.41\n },\n {\n \"sku\": \"SKU-66565\",\n \"qty\": 2,\n \"price\": 143.84\n },\n {\n \"sku\": \"SKU-72029\",\n \"qty\": 2,\n \"price\": 180.83\n }\n ],\n \"subtotal\": 1594.43,\n \"tax\": 137.93,\n \"total\": 378.42,\n \"payment_method\": \"paypal\"\n}" } ]
{ "format": "json", "complexity": "medium", "schema": "transaction_record", "estimated_tokens": 197 }
[ { "role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML." }, { "role": "user", "content": "Generate clinical note data in YAML format." }, { "role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nnote_id: CN-7558076\npatient:\n mrn: MRN-978380\n age: 86\n gender: F\nassessment:\n- problem: diabetes\n icd10: I50\n" } ]
{ "format": "yaml", "complexity": "simple", "schema": "clinical_note", "estimated_tokens": 90 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Output transaction record as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntxn_id = \"TXN-19634884\"\ncustomer_id = \"f275562a-141d-43ab-bd34-34baa6a3426e\"\ntimestamp = \"2026-01-04T10:26:55.379519\"\nsubtotal = 1287.41\ntax = 176.79\ntotal = 1479.53\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-74521\"\nqty = 2\nprice = 373.11\n\n[[items]]\nsku = \"SKU-55611\"\nqty = 3\nprice = 318.51\n\n[[items]]\nsku = \"SKU-43924\"\nqty = 5\nprice = 192.72\n\n[[items]]\nsku = \"SKU-53574\"\nqty = 2\nprice = 56.04\n\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "transaction_record", "estimated_tokens": 157 }
[ { "role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV." }, { "role": "user", "content": "Output sales analytics as CSV." }, { "role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,channels,citations,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1375320, \"\"growth\"\": 16.6}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 4569742, \"\"\",,,,September 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-6574\"\", \"\"sales\"\": 262335}, {\"\"sku\"\": \"\"SKU-6546\"\", \"\"sales\"\": 496551}, {\"\"sku\"\": \"\"SKU-5095\"\", \"\"sa\",3319689,70504\r\nSee source person itself administration society. New serve his teacher. Speech fly wall Mr mouth tes,\"[{\"\"name\"\": \"\"Rachel Hunt\"\", \"\"affiliation\"\": \"\"Vasquez, Long and Page\"\", \"\"email\"\": \"\"jonathandixon@example.or\",,289,\"[\"\"law\"\", \"\"sell\"\", \"\"executive\"\", \"\"thank\"\", \"\"language\"\"]\",arXiv:2022.69557,,10.9280/ocZf,Nature,2020,Adaptive upward-trending collaboration,,,\r\nHair again wife check cup movie lay. Resource true our itself laugh so him. Bar happy a there.,\"[{\"\"name\"\": \"\"Aaron Dickson\"\", \"\"affiliation\"\": \"\"Bender, Gonzales and Cortez\"\", \"\"email\"\": \"\"brownanthony@exam\",,316,\"[\"\"cause\"\", \"\"half\"\", \"\"war\"\", \"\"mouth\"\", \"\"cut\"\"]\",arXiv:2022.61323,,10.1249/AMlZ,Science,2023,Multi-lateral actuating core,,,\r\nMedical look stock TV even share. Current worry to fight office election on offer. Deep smile blue m,\"[{\"\"name\"\": \"\"Emily Gonzales\"\", \"\"affiliation\"\": \"\"Roman Group\"\", \"\"email\"\": \"\"josewilliams@example.net\"\"}, {\"\"na\",,439,\"[\"\"stand\"\", \"\"anyone\"\", \"\"bed\"\", \"\"popular\"\"]\",arXiv:2023.44533,,10.8062/kDHL,Science,2022,Horizontal intangible firmware,,,\r\n" } ]
{ "format": "csv", "complexity": "medium", "schema": "sales_analytics", "estimated_tokens": 433 }
[ { "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 transaction record." }, { "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\n\nOutput:\n{\n \"txn_id\": \"TXN-74949884\",\n \"customer_id\": \"664260d5-6297-41e3-93e5-ed54273df6c8\",\n \"timestamp\": \"2026-01-04T10:26:54.948314\",\n \"items\": [\n {\n \"sku\": \"SKU-39556\",\n \"qty\": 4,\n \"price\": 134.25\n },\n {\n \"sku\": \"SKU-96204\",\n \"qty\": 5,\n \"price\": 188.39\n }\n ],\n \"subtotal\": 1078.2,\n \"tax\": 155.48,\n \"total\": 690.08,\n \"payment_method\": \"credit_card\"\n}" } ]
{ "format": "json", "complexity": "complex", "schema": "transaction_record", "estimated_tokens": 161 }
[ { "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 contract." }, { "role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nterm_months = 58\nvalue = 223165\neffective_date = \"2026-01-03\"\nstatus = \"active\"\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "contract", "estimated_tokens": 76 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Output news article as JSON." }, { "role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"shares\": 836,\n \"headline\": \"Customer-focused transitional toolset\",\n \"article_id\": \"ART-4210268\"\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "news_article", "estimated_tokens": 87 }
[ { "role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON." }, { "role": "user", "content": "Output financial report as JSON." }, { "role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"eps\": 9.85,\n \"company\": \"Schwartz, Powell and Bowen\",\n \"metrics\": {\n \"profit_margin\": 5.93,\n \"roe\": 13.99\n },\n \"net_income\": 547882\n}" } ]
{ "format": "json", "complexity": "simple", "schema": "financial_report", "estimated_tokens": 99 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Output student assessment as TOML." }, { "role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-844715\"\npercentage = 70.73\ngrade = \"B\"\nstudent_id = \"STU-849581\"\ndate = \"2026-01-03\"\n" } ]
{ "format": "toml", "complexity": "simple", "schema": "student_assessment", "estimated_tokens": 86 }
[ { "role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML." }, { "role": "user", "content": "Create a TOML representation of api specification." }, { "role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Customer-focused value-added budgetary management API\"\nversion = \"1.0.0\"\n\n[paths.\"/from\".get]\nsummary = \"West painting meeting former message can.\"\n[[paths.\"/from\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/from\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/from\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/from\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/from\".get.responses.400]\ndescription = \"Bad Request\"\n" } ]
{ "format": "toml", "complexity": "medium", "schema": "api_specification", "estimated_tokens": 193 }