messages
listlengths 3
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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 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: July 2023\ntotal_revenue: 5564630\nunits_sold: 83668\nchannels:\n- name: online\n revenue: 4852594\n growth: -4.96\n- name: retail\n revenue: 4038029\n growth: 34.49\ntop_products:\n- sku: SKU-5150\n sales: 98984\n- sku: SKU-5167\n sales: 312415\n- sku: SKU-9749\n sales: 244088\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 130
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output sales analytics as XML."
},
{
"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>September 2021</period>\n<total_revenue>5870807</total_revenue>\n<units_sold>56364</units_sold>\n<channels>\n<name>online</name>\n<revenue>1449738</revenue>\n<growth>20.65</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>2784521</revenue>\n<growth>7.28</growth>\n</channels>\n<top_products>\n<sku>SKU-7645</sku>\n<sales>128896</sales>\n</top_products>\n<top_products>\n<sku>SKU-3775</sku>\n<sales>274972</sales>\n</top_products>\n<top_products>\n<sku>SKU-8927</sku>\n<sales>430111</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 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>online</name>\n<revenue>2310650</revenue>\n<growth>19.74</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>1386350</revenue>\n<growth>27.54</growth>\n</channels>\n<units_sold>36004</units_sold>\n<period>November 2024</period>\n<top_products>\n<sku>SKU-6423</sku>\n<sales>302770</sales>\n</top_products>\n<top_products>\n<sku>SKU-3913</sku>\n<sales>244998</sales>\n</top_products>\n<top_products>\n<sku>SKU-7553</sku>\n<sales>24232</sales>\n</top_products>\n</sales_analytics>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "sales_analytics",
"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": "Generate transaction record data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntimestamp = \"2026-01-04T10:26:54.550036\"\ntax = 156.5\nsubtotal = 1562.98\ntotal = 1325.89\ncustomer_id = \"0d9ba899-5087-4528-955e-0432265679c1\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 94
}
|
[
{
"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: 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:\nstack_trace:\n- at turn.py:111\n- at yard.py:257\nmessage: Girl color boy appear evidence consumer.\nerror_id: c79439ce-1761-4032-a340-d9a1ad3a6b97\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "error_log",
"estimated_tokens": 96
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,customer_id,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,subtotal,tax,title\r\n,,,82ea19d8-2336-4126-87f0-606a8302fe93,,,paypal,,,,375.3,9.49,\r\nAction morning never continue view place. Determine evidence here describe indicate line. Month rise,\"[{\"\"name\"\": \"\"Ronald Hunt\"\", \"\"affiliation\"\": \"\"Ramirez Ltd\"\", \"\"email\"\": \"\"judy18@example.net\"\"}, {\"\"name\"\": \"\"Mig\",471,,\"[\"\"successful\"\", \"\"activity\"\", \"\"including\"\", \"\"either\"\"]\",arXiv:2020.36593,,10.3454/uLKL,Cell,2022,,,Innovative impactful definition\r\nCare audience think see. Gun tax return leg under. Throw world arrive area.,\"[{\"\"name\"\": \"\"Michael Harris\"\", \"\"affiliation\"\": \"\"Simmons LLC\"\", \"\"email\"\": \"\"browningalexis@example.com\"\"}, {\"\"\",296,,\"[\"\"art\"\", \"\"necessary\"\", \"\"best\"\"]\",arXiv:2023.58763,,10.3807/iQgm,Nature,2024,,,Networked solution-oriented forecast\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 283
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate experiment result data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nexperiment_id: EXP-481937\ntitle: Effect of seek on condition\nmethodology:\n design: RCT\n sample_size: 740\n duration_days: 68\nresults:\n- metric: efficacy\n baseline: 94.28\n endpoint: 28.07\n p_value: 0.1202\n- metric: safety\n baseline: 46.46\n endpoint: 12.0\n p_value: 0.2705\nconclusion: non-significant\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "experiment_result",
"estimated_tokens": 138
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "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-4802237\",\n \"product_id\": \"PROD-881621\",\n \"user_id\": \"2ee89049-a791-446f-91d9-9dc313459c3f\",\n \"rating\": 5,\n \"title\": \"Such change particularly official.\",\n \"content\": \"Half look under product product.\\nHospital outside call just. Team spring turn point.\\nWorry spend benefit cut kitchen. Single possible sit agency.\",\n \"date\": \"2026-01-03\",\n \"verified_purchase\": false,\n \"helpful_votes\": 34\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "customer_review",
"estimated_tokens": 166
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of clinical note."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"patient\": {\n \"mrn\": \"MRN-698035\",\n \"age\": 37,\n \"gender\": \"M\"\n },\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"I40\"\n },\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"J48\"\n },\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"J37\"\n }\n ],\n \"vitals\": {\n \"bp\": \"162/70\",\n \"hr\": 109,\n \"temp_f\": 98.9\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 153
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate experiment result data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"experiment_id\": \"EXP-421017\",\n \"title\": \"Effect of easy on plant\",\n \"methodology\": {\n \"design\": \"observational\",\n \"sample_size\": 774,\n \"duration_days\": 265\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 64.64,\n \"endpoint\": 52.46,\n \"p_value\": 0.2162\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 27.4,\n \"endpoint\": 82.49,\n \"p_value\": 0.1732\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 85.51,\n \"endpoint\": 43.43,\n \"p_value\": 0.0227\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 80.55,\n \"endpoint\": 20.13,\n \"p_value\": 0.176\n }\n ],\n \"conclusion\": \"non-significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 232
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate transaction record data in TOML format."
},
{
"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-82051513\"\ncustomer_id = \"7cfee2a6-7d6f-4873-b6eb-30d1d37f3704\"\ntimestamp = \"2026-01-04T10:26:55.140187\"\nsubtotal = 1716.09\ntax = 177.35\ntotal = 1266.91\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-30948\"\nqty = 1\nprice = 407.48\n\n[[items]]\nsku = \"SKU-93128\"\nqty = 3\nprice = 421.38\n\n[[items]]\nsku = \"SKU-38979\"\nqty = 3\nprice = 168.22\n\n[[items]]\nsku = \"SKU-11949\"\nqty = 2\nprice = 181.74\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "transaction_record",
"estimated_tokens": 158
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of error log."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,keywords,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,title\r\n,,,54ac5f1e-fd9f-4099-ac76-6fe6fe59da80,fc386dc8-870f-4277-bc85-896b24c40e4d,35fb419b-19b5-412e-b030-5fdec5927cdb,,,,,,relationshipService,\"[\"\"at fall.py:72\"\", \"\"at heavy.py:112\"\", \"\"at generation.py:374\"\", \"\"at put.py:451\"\"]\",\r\nCourse degree lawyer some determine science. Half son door thousand activity together. Her happy loo,\"[{\"\"name\"\": \"\"Barry Harris\"\", \"\"affiliation\"\": \"\"Cervantes-Mills\"\", \"\"email\"\": \"\"nicolemoss@example.org\"\"}, {\"\"na\",250,,,,\"[\"\"experience\"\", \"\"never\"\", \"\"small\"\", \"\"significant\"\", \"\"cell\"\"]\",arXiv:2023.72820,10.5695/McGk,Cell,2021,,,Visionary value-added analyzer\r\nAir imagine forward move now stock. Job form mouth away sometimes piece. Game per wife under.,\"[{\"\"name\"\": \"\"Christopher Johnson\"\", \"\"affiliation\"\": \"\"Rogers Ltd\"\", \"\"email\"\": \"\"carolyn93@example.com\"\"}, {\"\"n\",73,,,,\"[\"\"this\"\", \"\"it\"\", \"\"tough\"\", \"\"mission\"\", \"\"cold\"\"]\",arXiv:2021.28030,10.6452/Nsto,Science,2020,,,Profound asynchronous functionalities\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "error_log",
"estimated_tokens": 339
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate prescription data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nrx_id = \"RX-1628982\"\npatient_mrn = \"MRN-183814\"\nprescriber = \"Madison George\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 124
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"experiment_id\": \"EXP-198462\",\n \"title\": \"Effect of could on manage\",\n \"methodology\": {\n \"design\": \"observational\",\n \"sample_size\": 466,\n \"duration_days\": 33\n },\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 88.08,\n \"endpoint\": 27.75,\n \"p_value\": 0.4638\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 31.24,\n \"endpoint\": 55.73,\n \"p_value\": 0.3088\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 79.72,\n \"endpoint\": 79.94,\n \"p_value\": 0.3412\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 12.51,\n \"endpoint\": 12.14,\n \"p_value\": 0.0987\n }\n ],\n \"conclusion\": \"significant\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 232
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id = \"CRS-3817\"\ncode = \"EON247\"\ntitle = \"Monitored bandwidth-monitored paradigm 101\"\ninstructor = \"Patrick Martin\"\ncredits = 4\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"information\"\n\n[[schedule]]\nweek = 2\ntopic = \"want\"\n\n[[schedule]]\nweek = 3\ntopic = \"career\"\n\n[[schedule]]\nweek = 4\ntopic = \"she\"\n\n[[schedule]]\nweek = 5\ntopic = \"skin\"\n\n[[schedule]]\nweek = 6\ntopic = \"down\"\n\n[[schedule]]\nweek = 7\ntopic = \"better\"\n\n[[schedule]]\nweek = 8\ntopic = \"deep\"\n\n[[schedule]]\nweek = 9\ntopic = \"someone\"\n\n[[schedule]]\nweek = 10\ntopic = \"computer\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 207
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output contract as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"contract_id\": \"CTR-340015\",\n \"parties\": [\n {\n \"name\": \"Jacobs, Perez and White\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Stanley and Sons\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-03\",\n \"term_months\": 20,\n \"value\": 619627,\n \"status\": \"pending\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 133
}
|
[
{
"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-314571\",\n \"parties\": [\n {\n \"name\": \"Howell Ltd\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Newman and Sons\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-02\",\n \"term_months\": 22,\n \"value\": 490735,\n \"status\": \"active\"\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 129
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate prescription data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nrx_id: RX-2386167\npatient_mrn: MRN-170674\nprescriber: Robert King\ndate: '2026-01-01'\nmedications:\n- name: Metformin\n dosage: 10mg\n frequency: BID\n quantity: 90\n- name: Atorvastatin\n dosage: 10mg\n frequency: TID\n quantity: 60\n- name: Metformin\n dosage: 10mg\n frequency: TID\n quantity: 90\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 134
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of course syllabus."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id: CRS-6337\ncode: ZMN369\ntitle: Centralized bifurcated Graphical User Interface 101\ninstructor: Richard Phillips\ncredits: 3\nterm: Spring 2022\nschedule:\n- week: 1\n topic: a\n- week: 2\n topic: fact\n- week: 3\n topic: somebody\n- week: 4\n topic: issue\n- week: 5\n topic: up\n- week: 6\n topic: ask\n- week: 7\n topic: my\n- week: 8\n topic: exactly\n- week: 9\n topic: just\n- week: 10\n topic: attorney\ngrading:\n homework: 30\n midterm: 30\n final: 40\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"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: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K80\"\"}]\",chest pain,2026-01-02,CN-1311822,52,F,MRN-998543,138/61,80,102.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K91\"\"}]\",chest pain,2026-01-02,CN-6747037,41,F,MRN-835632,174/93,75,97.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I76\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K83\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-03,CN-9102081,74,M,MRN-346143,97/90,96,98.1\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "clinical_note",
"estimated_tokens": 195
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of research paper."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npaper_id = \"arXiv:2022.31639\"\ntitle = \"Configurable contextually-based concept\"\nabstract = \"Value discuss fight color. Available wonder open everyone.\"\nkeywords = [ \"recent\", \"when\", \"war\", \"where\",]\ncitations = 19\n[[authors]]\nname = \"Janet Aguilar\"\naffiliation = \"Kelly Ltd\"\nemail = \"monica85@example.net\"\n\n[[authors]]\nname = \"Timothy Reed\"\naffiliation = \"Carter PLC\"\nemail = \"ccharles@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2021\ndoi = \"10.3374/Wmga\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 173
}
|
[
{
"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<units_sold>91448</units_sold>\n<top_products>\n<sku>SKU-2340</sku>\n<sales>411320</sales>\n</top_products>\n<top_products>\n<sku>SKU-2970</sku>\n<sales>489928</sales>\n</top_products>\n<top_products>\n<sku>SKU-6346</sku>\n<sales>229112</sales>\n</top_products>\n<period>September 2021</period>\n<total_revenue>1516063</total_revenue>\n<channels>\n<name>retail</name>\n<revenue>3217445</revenue>\n<growth>-0.86</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2347436</revenue>\n<growth>47.73</growth>\n</channels>\n</sales_analytics>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "sales_analytics",
"estimated_tokens": 207
}
|
[
{
"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>August 2023</period>\n<total_revenue>7448813</total_revenue>\n<units_sold>16763</units_sold>\n<channels>\n<name>retail</name>\n<revenue>2044959</revenue>\n<growth>43.89</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>4968819</revenue>\n<growth>11.83</growth>\n</channels>\n<top_products>\n<sku>SKU-1723</sku>\n<sales>223257</sales>\n</top_products>\n<top_products>\n<sku>SKU-5689</sku>\n<sales>10460</sales>\n</top_products>\n<top_products>\n<sku>SKU-7453</sku>\n<sales>265404</sales>\n</top_products>\n</sales_analytics>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 204
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate transaction record data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntxn_id = \"TXN-71848120\"\ncustomer_id = \"62cb3778-1f9d-4662-ba59-5528ba07fa7a\"\ntimestamp = \"2026-01-04T10:26:55.135114\"\nsubtotal = 724.19\ntax = 23.31\ntotal = 1157.91\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-13952\"\nqty = 5\nprice = 102.0\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 120
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of contract."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"contract_id\": \"CTR-762720\",\n \"parties\": [\n {\n \"name\": \"King LLC\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Simmons LLC\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-03\",\n \"term_months\": 43,\n \"value\": 282641,\n \"status\": \"executed\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "contract",
"estimated_tokens": 129
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate course syllabus data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: 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<course_syllabus>\n<course_id>CRS-9968</course_id>\n<code>TZJ172</code>\n<title>Multi-lateral non-volatile matrices 101</title>\n<instructor>Rachel Beck</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>seek</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>event</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>movement</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>sound</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>agreement</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>wrong</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>theory</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>design</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 267
}
|
[
{
"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 experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<results>\n<metric>efficacy</metric>\n<baseline>23.29</baseline>\n<endpoint>77.43</endpoint>\n<p_value>0.0891</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>68.32</baseline>\n<endpoint>24.39</endpoint>\n<p_value>0.4015</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>76.45</baseline>\n<endpoint>25.35</endpoint>\n<p_value>0.3011</p_value>\n</results>\n<experiment_id>EXP-910765</experiment_id>\n<title>Effect of court on phone</title>\n<conclusion>non-significant</conclusion>\n<methodology>\n<design>cohort</design>\n<sample_size>913</sample_size>\n<duration_days>341</duration_days>\n</methodology>\n</experiment_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 236
}
|
[
{
"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:2022.68894\"\ntitle = \"Universal heuristic knowledge user\"\nabstract = \"Remain lot home event pass difference. Around bag difference car pressure community. Car itself performance control heavy rest dream.\"\nkeywords = [ \"entire\", \"car\", \"foot\",]\ncitations = 392\n[[authors]]\nname = \"Melissa Kelly\"\naffiliation = \"Sherman-Collins\"\nemail = \"kanestephanie@example.com\"\n\n[[authors]]\nname = \"Gary Paul\"\naffiliation = \"Moore-Thomas\"\nemail = \"james16@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2023\ndoi = \"10.8049/fnfN\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 191
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of prescription."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create prescription 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<prescription>\n<date>2026-01-02</date>\n<rx_id>RX-5241493</rx_id>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "prescription",
"estimated_tokens": 183
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output course syllabus as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus 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<course_syllabus>\n<course_id>CRS-5797</course_id>\n<code>AJM346</code>\n<title>Versatile executive paradigm 101</title>\n<instructor>Jared Bowen</instructor>\n<credits>3</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>build</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>performance</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>because</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>east</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>already</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>him</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>grow</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>prepare</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>indicate</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 282
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate experiment result data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\n,EXP-305940,cohort,325,443,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 65.05, \"\"endpoint\"\": 35.78, \"\"p_value\"\": 0.2616}, {\"\"metric\"\": \"\"safety\"\",\",Effect of doctor on artist\r\nsignificant,EXP-434538,RCT,330,810,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 25.0, \"\"endpoint\"\": 11.04, \"\"p_value\"\": 0.3422}, {\"\"metric\"\": \"\"efficac\",Effect of doctor on specific\r\nnon-significant,EXP-219363,RCT,232,308,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 50.41, \"\"endpoint\"\": 52.06, \"\"p_value\"\": 0.3559}, {\"\"metric\"\": \"\"effica\",Effect of sport on care\r\nnon-significant,EXP-457671,RCT,320,349,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 32.18, \"\"endpoint\"\": 97.72, \"\"p_value\"\": 0.2993}, {\"\"metric\"\": \"\"safety\",Effect of the on town\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 266
}
|
[
{
"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: 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 \"rx_id\": \"RX-9720986\",\n \"patient_mrn\": \"MRN-871652\",\n \"prescriber\": \"Amanda Duran\",\n \"date\": \"2026-01-01\",\n \"medications\": [\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"20mg\",\n \"frequency\": \"BID\",\n \"quantity\": 90\n },\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"5mg\",\n \"frequency\": \"TID\",\n \"quantity\": 30\n },\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"5mg\",\n \"frequency\": \"BID\",\n \"quantity\": 90\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "prescription",
"estimated_tokens": 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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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:\nscores:\n- question: 1\n points_earned: 2\n points_possible: 10\n- question: 2\n points_earned: 9\n points_possible: 10\n- question: 3\n points_earned: 8\n points_possible: 10\n- question: 4\n points_earned: 2\n points_possible: 10\n- question: 5\n points_earned: 9\n points_possible: 10\n- question: 6\n points_earned: 1\n points_possible: 10\n- question: 7\n points_earned: 5\n points_possible: 10\n- question: 8\n points_earned: 4\n points_possible: 10\n- question: 9\n points_earned: 3\n points_possible: 10\n- question: 10\n points_earned: 6\n points_possible: 10\ndate: '2026-01-01'\ntotal_score: 80\ncourse_id: CRS-2224\npercentage: 77.73\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 220
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of experiment result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,conclusion,keywords,methodology_design,methodology_duration_days,methodology_sample_size,paper_id,publication_doi,publication_venue,publication_year,results,title\r\n,,,significant,,RCT,290,571,,,,,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 32.07, \"\"endpoint\"\": 23.61, \"\"p_value\"\": 0.3349}, {\"\"metric\"\": \"\"safety\",Effect of coach on structure\r\nPiece prepare participant. Attorney number instead support player quickly film quality.,\"[{\"\"name\"\": \"\"Andrea Edwards\"\", \"\"affiliation\"\": \"\"Miller, Tyler and Barrett\"\", \"\"email\"\": \"\"roger87@example.ne\",128,,\"[\"\"under\"\", \"\"other\"\", \"\"trial\"\"]\",,,,arXiv:2021.34166,10.2593/oNVw,Nature,2023,,Expanded maximized help-desk\r\nArticle bad box spring expect test story. Memory development no nearly order certain.,\"[{\"\"name\"\": \"\"Brian Mosley\"\", \"\"affiliation\"\": \"\"Schmidt Ltd\"\", \"\"email\"\": \"\"matthew26@example.com\"\"}, {\"\"name\"\": \",229,,\"[\"\"read\"\", \"\"trial\"\", \"\"far\"\"]\",,,,arXiv:2021.14740,10.6881/Gbmt,Science,2021,,Sharable leadingedge projection\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 314
}
|
[
{
"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,,,8eafc039-630c-4aad-979a-4d8e839de52c,fd22bf6f-ed7b-47db-bbfa-0d228bef16a9,d292b8e1-d30c-4016-9370-a3f68fbbf067,,ERROR,Step prove around suddenly full.,,,,,whyService,\"[\"\"at question.py:75\"\", \"\"at knowledge.py:423\"\", \"\"at hand.py:198\"\", \"\"at issue.py:135\"\"]\",2026-01-04T10:26:54.017315,\r\nRich through whose build performance. Institution memory evidence suggest. Tree often know police we,\"[{\"\"name\"\": \"\"Kathleen Lawrence\"\", \"\"affiliation\"\": \"\"Pena Ltd\"\", \"\"email\"\": \"\"margaret69@example.org\"\"}, {\"\"name\",117,,,,\"[\"\"manage\"\", \"\"field\"\", \"\"station\"\", \"\"stage\"\", \"\"kind\"\"]\",,,arXiv:2022.79387,10.7259/KKYb,Science,2022,,,,Inverse bottom-line emulation\r\nBuilding author half kitchen president without. Recognize decade sometimes international candidate t,\"[{\"\"name\"\": \"\"Jessica Friedman\"\", \"\"affiliation\"\": \"\"Hernandez, Strickland and Dean\"\", \"\"email\"\": \"\"mary42@exam\",486,,,,\"[\"\"both\"\", \"\"whole\"\", \"\"worker\"\"]\",,,arXiv:2021.39940,10.3726/RRnQ,Science,2023,,,,Diverse analyzing customer loyalty\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "error_log",
"estimated_tokens": 355
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate research paper data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: 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 \"paper_id\": \"arXiv:2023.97132\",\n \"title\": \"Multi-layered methodical functionalities\",\n \"authors\": [\n {\n \"name\": \"Zachary Martin\",\n \"affiliation\": \"Reese, Bowman and Moreno\",\n \"email\": \"richardstone@example.org\"\n },\n {\n \"name\": \"Daniel Wright\",\n \"affiliation\": \"Spence Ltd\",\n \"email\": \"jasmine43@example.com\"\n }\n ],\n \"abstract\": \"Of travel method page leg business. Research level last.\\nAdministration less adult sure where foot. Force think community staff true house.\",\n \"keywords\": [\n \"system\",\n \"especially\",\n \"water\",\n \"per\"\n ],\n \"publication\": {\n \"venue\": \"Nature\",\n \"year\": 2022,\n \"doi\": \"10.6412/plRx\"\n },\n \"citations\": 189\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 238
}
|
[
{
"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-837532\nname: Cross-group hybrid project\ncategory: electronics\nprice: 688.77\ncurrency: USD\nstock: 854\nrating: 4.6\nreviews: 751\nspecs:\n weight_kg: 22.54\n dimensions: 91x84x59cm\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 109
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Create a YAML representation of lab result."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nresult_id: LAB-5631929\npatient_mrn: MRN-768687\norder_date: '2026-01-01'\npanel: Lipid\nresults:\n- test: Hemoglobin\n value: 146.4\n unit: g/dL\n flag: high\n- test: WBC\n value: 144.1\n unit: g/dL\n flag: normal\n- test: Glucose\n value: 71.2\n unit: g/dL\n flag: high\n- test: WBC\n value: 124.0\n unit: mg/dL\n flag: normal\n- test: WBC\n value: 163.0\n unit: mg/dL\n flag: normal\n- test: Glucose\n value: 191.2\n unit: g/dL\n flag: low\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 167
}
|
[
{
"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 customer review."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"review_id\": \"REV-7322692\",\n \"product_id\": \"PROD-306983\",\n \"user_id\": \"a0409d35-2584-46cc-8d20-030579f8ffe8\",\n \"rating\": 3,\n \"title\": \"Wind true position issue visit executive chair.\",\n \"content\": \"Attention wife Republican degree. Wrong discuss arrive kid operation election real.\\nFall resource to sense.\\nCountry event cell authority follow size. Pay economic ever.\",\n \"date\": \"2026-01-03\",\n \"verified_purchase\": true,\n \"helpful_votes\": 54\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "customer_review",
"estimated_tokens": 174
}
|
[
{
"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: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,keywords,name,paper_id,price,publication_doi,publication_venue,publication_year,reviews,specs_dimensions,specs_weight_kg,title\r\n,,,,Switchable web-enabled product,,196.09,,,,354,90x26x37cm,46.62,\r\nArt seek program foot security professor. Tonight current group. Career know happen situation abilit,\"[{\"\"name\"\": \"\"Michael Ford\"\", \"\"affiliation\"\": \"\"Melton LLC\"\", \"\"email\"\": \"\"kenneth40@example.com\"\"}, {\"\"name\"\": \"\"\",109,\"[\"\"end\"\", \"\"throw\"\", \"\"world\"\", \"\"section\"\", \"\"hotel\"\"]\",,arXiv:2023.32371,,10.7813/tCpZ,Nature,2024,,,,Intuitive incremental matrix\r\nPersonal forget cup total feel. Option defense play subject local his political art.,\"[{\"\"name\"\": \"\"Jennifer Glenn\"\", \"\"affiliation\"\": \"\"Martinez-Blankenship\"\", \"\"email\"\": \"\"bmanning@example.org\"\"},\",235,\"[\"\"war\"\", \"\"glass\"\", \"\"form\"\", \"\"put\"\"]\",,arXiv:2023.42239,,10.9760/mhQa,Science,2023,,,,Phased regional utilization\r\n\"This kid feel issue theory hour community. Clearly energy resource develop.\nCompare executive window\",\"[{\"\"name\"\": \"\"Elizabeth Brown\"\", \"\"affiliation\"\": \"\"White Inc\"\", \"\"email\"\": \"\"lisa90@example.net\"\"}, {\"\"name\"\": \"\"L\",354,\"[\"\"under\"\", \"\"summer\"\", \"\"blue\"\", \"\"building\"\", \"\"reveal\"\"]\",,arXiv:2024.72006,,10.5142/eVck,Cell,2023,,,,Distributed explicit portal\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "product_listing",
"estimated_tokens": 377
}
|
[
{
"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-5103442\",\n \"patient_mrn\": \"MRN-782147\",\n \"order_date\": \"2026-01-03\",\n \"panel\": \"CBC\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 63.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 56.2,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 184.8,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 138.4,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 131.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 68.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 246
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate experiment result data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 23.29,\n \"endpoint\": 77.43,\n \"p_value\": 0.0891\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 68.32,\n \"endpoint\": 24.39,\n \"p_value\": 0.4015\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 76.45,\n \"endpoint\": 25.35,\n \"p_value\": 0.3011\n }\n ],\n \"experiment_id\": \"EXP-910765\",\n \"title\": \"Effect of court on phone\",\n \"conclusion\": \"non-significant\",\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 913,\n \"duration_days\": 341\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 204
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of transaction record."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,customer_id,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,tax,timestamp,title,total\r\n,,,eb053c24-5926-4459-9dc3-68c34e65c97c,,,paypal,,,,44.09,2026-01-04T10:26:54.584955,,1213.74\r\nReveal list reality. Price music rule spend machine. Fill alone manager knowledge else fear light.,\"[{\"\"name\"\": \"\"Brenda Wright\"\", \"\"affiliation\"\": \"\"Johnson-Campbell\"\", \"\"email\"\": \"\"fostermartha@example.org\"\"}, \",16,,\"[\"\"look\"\", \"\"success\"\", \"\"guess\"\", \"\"bed\"\"]\",arXiv:2021.99787,,10.5825/eCkE,Nature,2024,,,Organic modular neural-net,\r\nSame poor bar. Third employee seat serve. Surface gun imagine change treat.,\"[{\"\"name\"\": \"\"Anthony Parker\"\", \"\"affiliation\"\": \"\"Taylor-Clark\"\", \"\"email\"\": \"\"riverabobby@example.com\"\"}, {\"\"na\",423,,\"[\"\"she\"\", \"\"close\"\", \"\"right\"\", \"\"down\"\"]\",arXiv:2024.12710,,10.7113/Djnj,Cell,2020,,,Inverse executive process improvement,\r\n\"Young the yard fall policy on nice. Pm likely your include enjoy which.\nSuch none seem top together \",\"[{\"\"name\"\": \"\"Alexandra Garcia\"\", \"\"affiliation\"\": \"\"Woods-Hernandez\"\", \"\"email\"\": \"\"gmorgan@example.com\"\"}, {\"\"n\",11,,\"[\"\"control\"\", \"\"sport\"\", \"\"ability\"\"]\",arXiv:2023.67994,,10.6356/rDtr,Nature,2023,,,Compatible human-resource access,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 374
}
|
[
{
"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: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nexperiment_id: EXP-587389\ntitle: Effect of reason on fund\nmethodology:\n design: cohort\n sample_size: 81\n duration_days: 154\nresults:\n- metric: efficacy\n baseline: 98.5\n endpoint: 43.88\n p_value: 0.1434\n- metric: efficacy\n baseline: 42.81\n endpoint: 61.57\n p_value: 0.1428\n- metric: safety\n baseline: 36.58\n endpoint: 32.07\n p_value: 0.0692\n- metric: efficacy\n baseline: 83.32\n endpoint: 74.47\n p_value: 0.0444\nconclusion: non-significant\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "experiment_result",
"estimated_tokens": 174
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate api specification data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: 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,info_title,info_version,keywords,openapi,paper_id,paths_/Mrs_get_parameters,paths_/Mrs_get_responses_200_description,paths_/Mrs_get_responses_400_description,paths_/Mrs_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,Optimized next generation application API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Plan sort off task.,,,,\r\n\"Yes course new film authority somebody. Thought push skin.\nBox present common feel. Follow true word\",\"[{\"\"name\"\": \"\"Tanya Dillon\"\", \"\"affiliation\"\": \"\"Ramos Group\"\", \"\"email\"\": \"\"vaughndavid@example.com\"\"}, {\"\"name\"\"\",113,,,\"[\"\"ten\"\", \"\"visit\"\", \"\"wear\"\", \"\"above\"\", \"\"truth\"\"]\",,arXiv:2023.20979,,,,,10.4699/zHtq,Science,2020,Customizable optimal support\r\nInstitution leave back appear feeling choice feeling. Open night second get once should seat.,\"[{\"\"name\"\": \"\"Jodi Miller\"\", \"\"affiliation\"\": \"\"Sanchez, Wilkerson and Murphy\"\", \"\"email\"\": \"\"zking@example.net\",440,,,\"[\"\"there\"\", \"\"person\"\", \"\"property\"\", \"\"charge\"\", \"\"source\"\"]\",,arXiv:2023.71446,,,,,10.1645/FSes,Cell,2022,Configurable exuding help-desk\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "api_specification",
"estimated_tokens": 348
}
|
[
{
"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 = 59\nvalue = 287047\neffective_date = \"2026-01-01\"\n[[parties]]\nname = \"Rollins, Clark and Day\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Jenkins, Wallace and Mitchell\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "contract",
"estimated_tokens": 105
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate lab result data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4722924</result_id>\n<patient_mrn>MRN-344617</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>168.8</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>61.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>56.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>142.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>156.2</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "lab_result",
"estimated_tokens": 233
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output clinical note as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,assessment,authors,citations,keywords,paper_id,patient_age,patient_gender,patient_mrn,publication_doi,publication_venue,publication_year,title,vitals_bp,vitals_hr,vitals_temp_f\r\n,\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I40\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J48\"\"}, {\"\"problem\"\": \"\"hype\",,,,,37,M,MRN-698035,,,,,162/70,109,98.9\r\nArgue wrong lawyer. Discover arm better item example radio ground.,,\"[{\"\"name\"\": \"\"Erika Collins\"\", \"\"affiliation\"\": \"\"Armstrong, Hodges and Wilson\"\", \"\"email\"\": \"\"danielcarson@exa\",251,\"[\"\"character\"\", \"\"sort\"\", \"\"these\"\", \"\"shoulder\"\"]\",arXiv:2020.84396,,,,10.7286/WdYo,Nature,2022,Ergonomic leadingedge hub,,,\r\nFocus usually throughout if my responsibility. Early several drug mention pick which per.,,\"[{\"\"name\"\": \"\"Laurie Olsen\"\", \"\"affiliation\"\": \"\"Hill Inc\"\", \"\"email\"\": \"\"deborahlucas@example.net\"\"}, {\"\"name\"\": \",320,\"[\"\"apply\"\", \"\"true\"\", \"\"throughout\"\"]\",arXiv:2022.87954,,,,10.3389/hbSF,Science,2024,Universal modular complexity,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "clinical_note",
"estimated_tokens": 309
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate research paper data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"publication\": {\n \"venue\": \"Cell\",\n \"year\": 2020,\n \"doi\": \"10.2578/ZXLq\"\n },\n \"authors\": [\n {\n \"name\": \"Zachary Lara\",\n \"affiliation\": \"Nelson-Sullivan\",\n \"email\": \"xmueller@example.org\"\n },\n {\n \"name\": \"Jon Bradford\",\n \"affiliation\": \"Smith, Williams and Blankenship\",\n \"email\": \"wheelercristina@example.net\"\n }\n ],\n \"citations\": 489,\n \"paper_id\": \"arXiv:2021.41887\",\n \"abstract\": \"President west knowledge rise professional. Member feel reveal early offer past day.\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 194
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output transaction record as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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<transaction_record>\n<items>\n<sku>SKU-11938</sku>\n<qty>2</qty>\n<price>445.4</price>\n</items>\n<total>1775.97</total>\n<timestamp>2026-01-04T10:26:54.908055</timestamp>\n</transaction_record>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "transaction_record",
"estimated_tokens": 118
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: 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 \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Triple-buffered uniform focus group API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/wonder\": {\n \"get\": {\n \"summary\": \"Wide two cost watch hard goal.\",\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": "medium",
"schema": "api_specification",
"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": "Generate product listing data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing 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 \"product_id\": \"PROD-369953\",\n \"name\": \"Organic upward-trending service-desk\",\n \"category\": \"clothing\",\n \"price\": 798.68,\n \"currency\": \"USD\",\n \"stock\": 197,\n \"rating\": 4.85,\n \"reviews\": 328,\n \"specs\": {\n \"weight_kg\": 4.57,\n \"dimensions\": \"31x46x54cm\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "product_listing",
"estimated_tokens": 129
}
|
[
{
"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: 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 \"post_id\": \"POST-56297594\",\n \"platform\": \"twitter\",\n \"user_id\": \"b3cd7aa7-c65b-40c8-8985-77b46be951aa\",\n \"username\": \"tonywaters\",\n \"content\": \"Reduce song watch son east explain. Maintain physical let science.\\nTheory guess property eye show. Your instead big talk do compare. Six brother want wife drug talk subject trip.\",\n \"timestamp\": \"2026-01-04T10:26:54.812272\",\n \"hashtags\": [\n \"#mission\",\n \"#big\"\n ],\n \"engagement\": {\n \"likes\": 8405,\n \"shares\": 672,\n \"comments\": 239\n }\n}"
}
] |
{
"format": "json",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 188
}
|
[
{
"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: 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:\ntxn_id = \"TXN-21002464\"\ncustomer_id = \"1e456f3e-ba67-4c97-b4ae-68b7b0adb1a8\"\ntimestamp = \"2026-01-04T10:26:53.857589\"\nsubtotal = 58.68\ntax = 137.6\ntotal = 1677.0\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-82239\"\nqty = 4\nprice = 107.99\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 119
}
|
[
{
"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-796903\"\nname = \"Face-to-face dynamic forecast\"\ncategory = \"clothing\"\nprice = 220.77\ncurrency = \"USD\"\nstock = 274\nrating = 1.14\nreviews = 813\n\n[specs]\nweight_kg = 36.3\ndimensions = \"58x61x72cm\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "product_listing",
"estimated_tokens": 110
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output contract as TOML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncontract_id = \"CTR-314571\"\neffective_date = \"2026-01-02\"\nterm_months = 22\nvalue = 490735\nstatus = \"active\"\n[[parties]]\nname = \"Howell Ltd\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Newman and Sons\"\nrole = \"party_b\"\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "contract",
"estimated_tokens": 108
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate transaction record data in JSON format."
},
{
"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-52583105\",\n \"customer_id\": \"87ae6462-b9a8-4b8c-9928-69bca2c8b16f\",\n \"timestamp\": \"2026-01-04T10:26:54.302518\",\n \"items\": [\n {\n \"sku\": \"SKU-87906\",\n \"qty\": 3,\n \"price\": 413.77\n },\n {\n \"sku\": \"SKU-86025\",\n \"qty\": 2,\n \"price\": 382.63\n },\n {\n \"sku\": \"SKU-12520\",\n \"qty\": 3,\n \"price\": 493.88\n },\n {\n \"sku\": \"SKU-93134\",\n \"qty\": 2,\n \"price\": 170.97\n }\n ],\n \"subtotal\": 1334.82,\n \"tax\": 12.65,\n \"total\": 1812.4,\n \"payment_method\": \"credit_card\"\n}"
}
] |
{
"format": "json",
"complexity": "complex",
"schema": "transaction_record",
"estimated_tokens": 199
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate financial report data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: 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:\neps: 3.42\ncompany: Golden, Koch and York\nrevenue: 36967928\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "financial_report",
"estimated_tokens": 77
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Create a JSON representation of api specification."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"openapi\": \"3.0.0\",\n \"paths\": {\n \"/brother\": {\n \"get\": {\n \"summary\": \"Tough science green study according.\",\n \"parameters\": [\n {\n \"name\": \"param0\",\n \"in\": \"query\",\n \"type\": \"string\"\n },\n {\n \"name\": \"param1\",\n \"in\": \"query\",\n \"type\": \"string\"\n }\n ],\n \"responses\": {\n \"200\": {\n \"description\": \"Success\"\n },\n \"400\": {\n \"description\": \"Bad Request\"\n }\n }\n }\n }\n },\n \"info\": {\n \"title\": \"Quality-focused local projection API\",\n \"version\": \"1.0.0\"\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "api_specification",
"estimated_tokens": 230
}
|
[
{
"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: 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 \"rating\": 5,\n \"content\": \"Simple such Mr now blood big rest. Daughter develop live feel recent kid office develop. Mention quality girl woman social election admit. Business nothing life health best paper give back.\",\n \"user_id\": \"1bbe6dc2-7df7-4b55-9b7e-5dfcd98e9c35\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "customer_review",
"estimated_tokens": 131
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output financial report as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Harmon, Campbell and Warner\",3.83,52848719,17.68,22.2,2185732,Q2 2024,76253546,EJAS\r\n\"Martinez, Robinson and Mills\",4.6,16931471,26.79,9.43,14532165,Q4 2023,14463951,GGBR\r\nMurray-Stewart,7.02,71595090,9.12,24.1,9355461,Q4 2022,2743889,BRBW\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "financial_report",
"estimated_tokens": 143
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate course syllabus data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nHFF300,CRS-2842,4,40,30,30,Leonard Burns,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"both\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"would\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"military\"\"}, {\"\"we\",Fall 2021,Fully-configurable systematic success 101\r\nPFG295,CRS-2510,3,40,30,30,Brett Thomas DVM,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"man\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"off\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"degree\"\"}, {\"\"week\"\": \",Fall 2023,Robust executive artificial intelligence 101\r\nXRF277,CRS-9187,3,40,30,30,Ashley Dunn,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"process\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"record\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"skill\"\"}, {\"\"w\",Fall 2021,Synergized impactful process improvement 101\r\nQDF481,CRS-8052,4,40,30,30,Anna Murillo,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"worry\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"marriage\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"boy\"\"}, {\"\"wee\",Spring 2020,Balanced 3rdgeneration array 101\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "course_syllabus",
"estimated_tokens": 302
}
|
[
{
"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 \"title\": \"Cloned optimal benchmark 101\",\n \"course_id\": \"CRS-1214\",\n \"instructor\": \"Amy Rodriguez\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 88
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate api specification data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,info_title,info_version,keywords,openapi,paper_id,paths_/base_get_parameters,paths_/base_get_responses_200_description,paths_/base_get_responses_400_description,paths_/base_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,Optional static framework API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Economic air strong own son hard until.,,,,\r\n\"Sport realize do.\nLight institution price white. Church magazine modern low painting able scientist \",\"[{\"\"name\"\": \"\"Henry Mcmillan\"\", \"\"affiliation\"\": \"\"Francis PLC\"\", \"\"email\"\": \"\"sophia55@example.com\"\"}, {\"\"name\"\":\",178,,,\"[\"\"produce\"\", \"\"difference\"\", \"\"wait\"\", \"\"develop\"\", \"\"space\"\"]\",,arXiv:2022.72851,,,,,10.9382/hBrh,Cell,2022,Triple-buffered 4thgeneration emulation\r\nProfessor miss material billion game owner eight statement. Business Republican easy somebody moment,\"[{\"\"name\"\": \"\"Travis Carter\"\", \"\"affiliation\"\": \"\"Cox-Allen\"\", \"\"email\"\": \"\"mariayoung@example.net\"\"}, {\"\"name\"\": \",243,,,\"[\"\"degree\"\", \"\"official\"\", \"\"each\"\"]\",,arXiv:2022.13873,,,,,10.9975/JTmb,Cell,2021,Robust contextually-based pricing structure\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "api_specification",
"estimated_tokens": 371
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Output research paper as TOML."
},
{
"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:2023.97132\"\ntitle = \"Multi-layered methodical functionalities\"\nabstract = \"Of travel method page leg business. Research level last.\\nAdministration less adult sure where foot. Force think community staff true house.\"\nkeywords = [ \"system\", \"especially\", \"water\", \"per\",]\ncitations = 189\n[[authors]]\nname = \"Zachary Martin\"\naffiliation = \"Reese, Bowman and Moreno\"\nemail = \"richardstone@example.org\"\n\n[[authors]]\nname = \"Daniel Wright\"\naffiliation = \"Spence Ltd\"\nemail = \"jasmine43@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.6412/plRx\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "research_paper",
"estimated_tokens": 201
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate clinical note data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create clinical note 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<clinical_note>\n<note_id>CN-9800518</note_id>\n<patient>\n<mrn>MRN-467397</mrn>\n<age>86</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>169/60</bp>\n<hr>70</hr>\n<temp_f>99.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K21</icd10>\n</assessment>\n</clinical_note>"
}
] |
{
"format": "xml",
"complexity": "complex",
"schema": "clinical_note",
"estimated_tokens": 162
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output experiment result as JSON."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"experiment_id\": \"EXP-662332\",\n \"title\": \"Effect of range on job\",\n \"results\": [\n {\n \"metric\": \"efficacy\",\n \"baseline\": 71.41,\n \"endpoint\": 60.49,\n \"p_value\": 0.2977\n },\n {\n \"metric\": \"efficacy\",\n \"baseline\": 76.46,\n \"endpoint\": 50.36,\n \"p_value\": 0.2908\n }\n ],\n \"methodology\": {\n \"design\": \"cohort\",\n \"sample_size\": 974,\n \"duration_days\": 70\n }\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 166
}
|
[
{
"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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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:\nscores:\n- question: 1\n points_earned: 8\n points_possible: 10\n- question: 2\n points_earned: 0\n points_possible: 10\n- question: 3\n points_earned: 1\n points_possible: 10\n- question: 4\n points_earned: 3\n points_possible: 10\n- question: 5\n points_earned: 3\n points_possible: 10\n- question: 6\n points_earned: 9\n points_possible: 10\n- question: 7\n points_earned: 7\n points_possible: 10\npercentage: 68.31\nstudent_id: STU-956251\nassessment_id: ASMT-964185\ntype: quiz\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 180
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate lab result data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CBC,MRN-705202,LAB-2078925,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 198.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 19\"\r\n2026-01-01,CMP,MRN-431397,LAB-6741194,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 165.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-02,Lipid,MRN-421663,LAB-7773282,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 198.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"valu\"\r\n2026-01-02,CMP,MRN-608524,LAB-4863629,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 56.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 101.6,\"\r\n"
}
] |
{
"format": "csv",
"complexity": "complex",
"schema": "lab_result",
"estimated_tokens": 233
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Output student assessment as CSV."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-891475,,CRS-6775,,2026-01-03,A,,,,,96.2,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"po\",STU-525042,,,97,exam\r\n,ZEM305,CRS-2753,3,,,40,30,30,Tyler Hicks,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"politics\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"purpose\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"score\"\"}, {\",,,Fall 2021,Ameliorated tangible capacity 101,,\r\n,INR250,CRS-9043,4,,,40,30,30,Michael Mccall,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"site\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"administration\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"office\"\"\",,,Fall 2023,Re-engineered transitional middleware 101,,\r\n,PUH166,CRS-2471,3,,,40,30,30,Michael Williams,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"word\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"laugh\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"interview\"\"}, {\"\"w\",,,Spring 2021,Future-proofed user-facing concept 101,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 315
}
|
[
{
"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: 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:\ntitle = \"Down-sized modular solution\"\ncitations = 276\npaper_id = \"arXiv:2022.89622\"\n[[authors]]\nname = \"Craig Roy\"\naffiliation = \"Howe Ltd\"\nemail = \"mariadennis@example.com\"\n\n[[authors]]\nname = \"Jacob Parker\"\naffiliation = \"Mccoy Group\"\nemail = \"mary66@example.net\"\n\n[[authors]]\nname = \"Jason Wagner\"\naffiliation = \"Henry-Roberson\"\nemail = \"jamesduke@example.com\"\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 149
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate lab result data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"result_id\": \"LAB-3182853\",\n \"panel\": \"CMP\",\n \"patient_mrn\": \"MRN-507751\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 198.0,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 171.1,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 138.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 163.1,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 104.4,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n },\n {\n \"test\": \"Glucose\",\n \"value\": 57.9,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 74.5,\n \"unit\": \"mg/dL\",\n \"flag\": \"low\"\n }\n ]\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 267
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,content,keywords,paper_id,publication_doi,publication_venue,publication_year,timestamp,title,user_id\r\n,,,Spring window back especially benefit spend. List our artist move scientist magazine will. Sign smil,,,,,,2026-01-04T10:26:55.352405,,df09dbbb-6779-4d2b-873e-868ba6e9803d\r\n\"Try present smile fly next letter. Good charge college human pattern lose.\nAuthor turn top blood col\",\"[{\"\"name\"\": \"\"Christopher Garcia\"\", \"\"affiliation\"\": \"\"Williams LLC\"\", \"\"email\"\": \"\"gford@example.org\"\"}, {\"\"name\",91,,\"[\"\"west\"\", \"\"see\"\", \"\"film\"\"]\",arXiv:2021.76357,10.1778/EazE,Nature,2021,,Cloned holistic benchmark,\r\nPosition full service region still. Condition themselves product audience behavior his. State remain,\"[{\"\"name\"\": \"\"Kelly Hayden\"\", \"\"affiliation\"\": \"\"Mullins, Lucas and Rodriguez\"\", \"\"email\"\": \"\"susan83@example.c\",33,,\"[\"\"size\"\", \"\"you\"\", \"\"form\"\", \"\"fall\"\"]\",arXiv:2023.86831,10.1069/filT,Cell,2020,,Focused attitude-oriented artificial intelligence,\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 307
}
|
[
{
"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 sales analytics."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nperiod = \"January 2024\"\ntotal_revenue = 3476436\nunits_sold = 17370\n[[channels]]\nname = \"retail\"\nrevenue = 2055973\ngrowth = -0.84\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1391202\ngrowth = 29.72\n\n[[top_products]]\nsku = \"SKU-1830\"\nsales = 96792\n\n[[top_products]]\nsku = \"SKU-5211\"\nsales = 318272\n\n[[top_products]]\nsku = \"SKU-7117\"\nsales = 15878\n\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "sales_analytics",
"estimated_tokens": 143
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output api specification as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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:\npaths:\n /price:\n get:\n summary: Remember resource red.\n parameters:\n - name: param0\n in: query\n type: string\n - name: param1\n in: query\n type: string\n responses:\n '200':\n description: Success\n '400':\n description: Bad Request\ninfo:\n title: User-friendly composite pricing structure API\n version: 1.0.0\nopenapi: 3.0.0\n"
}
] |
{
"format": "yaml",
"complexity": "simple",
"schema": "api_specification",
"estimated_tokens": 164
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate experiment result data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<conclusion>non-significant</conclusion>\n<methodology>\n<design>RCT</design>\n<sample_size>215</sample_size>\n<duration_days>124</duration_days>\n</methodology>\n<title>Effect of adult on especially</title>\n</experiment_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "experiment_result",
"estimated_tokens": 132
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate sales analytics data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics 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 \"channels\": [\n {\n \"name\": \"wholesale\",\n \"revenue\": 3698803,\n \"growth\": 24.4\n },\n {\n \"name\": \"retail\",\n \"revenue\": 185992,\n \"growth\": -8.36\n }\n ],\n \"total_revenue\": 9299138,\n \"period\": \"January 2024\",\n \"top_products\": [\n {\n \"sku\": \"SKU-7789\",\n \"sales\": 126632\n },\n {\n \"sku\": \"SKU-9404\",\n \"sales\": 83472\n },\n {\n \"sku\": \"SKU-5287\",\n \"sales\": 187930\n }\n ],\n \"units_sold\": 7672\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "sales_analytics",
"estimated_tokens": 180
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Output transaction record as XML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create transaction record 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<transaction_record>\n<txn_id>TXN-82051513</txn_id>\n<customer_id>7cfee2a6-7d6f-4873-b6eb-30d1d37f3704</customer_id>\n<timestamp>2026-01-04T10:26:55.140187</timestamp>\n<items>\n<sku>SKU-30948</sku>\n<qty>1</qty>\n<price>407.48</price>\n</items>\n<items>\n<sku>SKU-93128</sku>\n<qty>3</qty>\n<price>421.38</price>\n</items>\n<items>\n<sku>SKU-38979</sku>\n<qty>3</qty>\n<price>168.22</price>\n</items>\n<items>\n<sku>SKU-11949</sku>\n<qty>2</qty>\n<price>181.74</price>\n</items>\n<subtotal>1716.09</subtotal>\n<tax>177.35</tax>\n<total>1266.91</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "transaction_record",
"estimated_tokens": 218
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Generate financial report data in CSV format."
},
{
"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:\nabstract,authors,citations,eps,keywords,paper_id,publication_doi,publication_venue,publication_year,revenue,ticker,title\r\n,,,1.6,,,,,,21751357,HAEB,\r\n\"Young network right project seek. Middle summer sister reason.\nBoard quite way activity I could. Agr\",\"[{\"\"name\"\": \"\"Brian Hanson\"\", \"\"affiliation\"\": \"\"Sharp-Singleton\"\", \"\"email\"\": \"\"eford@example.com\"\"}, {\"\"name\"\": \",176,,\"[\"\"show\"\", \"\"though\"\", \"\"debate\"\", \"\"simple\"\", \"\"evidence\"\"]\",arXiv:2021.64212,10.9106/ZuCo,Cell,2020,,,Fundamental coherent superstructure\r\nStar debate consider tell subject quality program. Skill next another. Society remember cover fund w,\"[{\"\"name\"\": \"\"Julie Ruiz\"\", \"\"affiliation\"\": \"\"Black-Carter\"\", \"\"email\"\": \"\"hcastillo@example.net\"\"}, {\"\"name\"\": \"\"\",231,,\"[\"\"week\"\", \"\"law\"\", \"\"claim\"\", \"\"reason\"\", \"\"could\"\"]\",arXiv:2022.19704,10.5992/xZDo,Science,2024,,,Profound intangible utilization\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "financial_report",
"estimated_tokens": 280
}
|
[
{
"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: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nabstract,authors,citations,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nCause eight still. Nothing six fire both. Main tough make figure page in leg challenge.,\"[{\"\"name\"\": \"\"Melanie Holt\"\", \"\"affiliation\"\": \"\"Suarez, Curtis and Aguirre\"\", \"\"email\"\": \"\"brian75@example.net\",,\"[\"\"like\"\", \"\"natural\"\", \"\"way\"\"]\",,,,,\r\nBorn its eight anything perhaps method our. Look any eight final newspaper sometimes president. Wher,\"[{\"\"name\"\": \"\"Megan Reynolds\"\", \"\"affiliation\"\": \"\"Gibson, Johnson and Davis\"\", \"\"email\"\": \"\"jeffrey96@example.\",190,\"[\"\"manage\"\", \"\"capital\"\", \"\"bed\"\", \"\"notice\"\"]\",arXiv:2021.50741,10.3100/GtzF,Science,2023,Visionary needs-based policy\r\nExecutive human reveal born choice and wife age. Family home place phone list over senior a.,\"[{\"\"name\"\": \"\"Brian Barry\"\", \"\"affiliation\"\": \"\"Lee, Lane and French\"\", \"\"email\"\": \"\"gbass@example.com\"\"}, {\"\"nam\",251,\"[\"\"size\"\", \"\"concern\"\", \"\"ask\"\", \"\"consumer\"\"]\",arXiv:2020.90771,10.9462/grVq,Cell,2023,Customer-focused bottom-line initiative\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "research_paper",
"estimated_tokens": 318
}
|
[
{
"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: 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 = \"Future-proofed secondary implementation API\"\nversion = \"1.0.0\"\n\n[paths.\"/others\".get]\nsummary = \"Discussion media above career.\"\n[[paths.\"/others\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/others\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/others\".get.responses.400]\ndescription = \"Bad Request\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "api_specification",
"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": "Create a YAML representation of social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\npost_id: POST-67244323\nplatform: facebook\nuser_id: beec0ceb-6941-4d93-93f1-27501d2b36d5\nusername: daniellenelson\ncontent: Practice property yeah check raise. Even from story point town our group.\ntimestamp: '2026-01-04T10:26:54.818027'\nhashtags:\n- '#dog'\n- '#rise'\n- '#address'\nengagement:\n likes: 1481\n shares: 952\n comments: 81\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "social_media_post",
"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 api specification data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create api specification 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 \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Vision-oriented hybrid task-force API\",\n \"version\": \"1.0.0\"\n },\n \"paths\": {\n \"/create\": {\n \"get\": {\n \"summary\": \"Old side answer start.\",\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": "medium",
"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 lab result data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<order_date>2026-01-01</order_date>\n<results>\n<test>WBC</test>\n<value>182.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>55.3</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>99.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>94.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>92.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<patient_mrn>MRN-383494</patient_mrn>\n<result_id>LAB-3606985</result_id>\n</lab_result>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "lab_result",
"estimated_tokens": 228
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Create a XML representation of social media post."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-96207632</post_id>\n<platform>instagram</platform>\n<user_id>aa2516ef-f983-44ca-bb96-469746134343</user_id>\n<username>ukramer</username>\n<content>None small among offer Republican. Attention technology standard respond author address us.\nHealth strategy dark blue event she summer. Rich style vote dinner total voice.</content>\n<timestamp>2026-01-04T10:26:54.861742</timestamp>\n<hashtags>#success</hashtags>\n<hashtags>#him</hashtags>\n<hashtags>#before</hashtags>\n<hashtags>#camera</hashtags>\n<engagement>\n<likes>3118</likes>\n<shares>414</shares>\n<comments>315</comments>\n</engagement>\n</social_media_post>"
}
] |
{
"format": "xml",
"complexity": "medium",
"schema": "social_media_post",
"estimated_tokens": 229
}
|
[
{
"role": "system",
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."
},
{
"role": "user",
"content": "Create a CSV representation of news article."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8893455,Kelly Rios,Across each sport edge information. During responsibility remain. Ready structure power smile late t,Total empowering definition,2026-01-01T04:03:28.931936,Tech,4324,\"[\"\"character\"\", \"\"own\"\", \"\"hot\"\", \"\"five\"\"]\",28629\r\nART-3967962,Isaiah Ramos,\"Just democratic key sense near. Believe street but must short yet religious news.\nStory society maga\",Object-based client-server help-desk,2026-01-03T14:10:46.082273,Business,1546,\"[\"\"environment\"\", \"\"body\"\", \"\"type\"\", \"\"write\"\", \"\"office\"\"]\",74819\r\nART-6524496,Emily Russell,\"Both then along most them. Bad the tax or grow day.\nInstead only story hand cause. Picture edge resp\",Robust value-added approach,2026-01-03T21:59:49.911087,Politics,614,\"[\"\"visit\"\", \"\"whole\"\", \"\"region\"\", \"\"who\"\"]\",9139\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "news_article",
"estimated_tokens": 269
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Output contract as YAML."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: 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:\ncontract_id: CTR-140058\nparties:\n- name: Wilkerson Group\n role: party_a\n- name: Smith-Ramos\n role: party_b\neffective_date: '2026-01-03'\nterm_months: 32\nvalue: 508913\nstatus: pending\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "contract",
"estimated_tokens": 105
}
|
[
{
"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\n,CRS-2064,,,,,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"from\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"TV\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"top\"\"}, {\"\"week\"\": 4, \",Fall 2021,\r\nCVI128,CRS-3372,3,40,30,30,Alexis Ali,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"major\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"score\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"local\"\"}, {\"\"week\",Fall 2024,Proactive context-sensitive knowledgebase 101\r\nGJF152,CRS-5472,4,40,30,30,Amanda Burgess,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"someone\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"notice\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"send\"\"}, {\"\"we\",Spring 2023,Managed 6thgeneration hierarchy 101\r\n"
}
] |
{
"format": "csv",
"complexity": "simple",
"schema": "course_syllabus",
"estimated_tokens": 231
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Generate customer review data in JSON format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create customer review in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n{\n \"review_id\": \"REV-7253784\",\n \"title\": \"Pretty school enter security though white she.\",\n \"user_id\": \"8227c928-31c7-4442-8a55-a315327a4bc7\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "customer_review",
"estimated_tokens": 98
}
|
[
{
"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: 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:\ncourse_id = \"CRS-1967\"\ncode = \"WNH425\"\ntitle = \"Customizable 24/7 moratorium 101\"\ninstructor = \"Justin Leon\"\ncredits = 4\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"ten\"\n\n[[schedule]]\nweek = 2\ntopic = \"soldier\"\n\n[[schedule]]\nweek = 3\ntopic = \"both\"\n\n[[schedule]]\nweek = 4\ntopic = \"rather\"\n\n[[schedule]]\nweek = 5\ntopic = \"improve\"\n\n[[schedule]]\nweek = 6\ntopic = \"technology\"\n\n[[schedule]]\nweek = 7\ntopic = \"enough\"\n\n[[schedule]]\nweek = 8\ntopic = \"new\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "course_syllabus",
"estimated_tokens": 183
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of financial report."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nticker = \"BPHO\"\nnet_income = 6571281\ncompany = \"Rose and Sons\"\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "financial_report",
"estimated_tokens": 74
}
|
[
{
"role": "system",
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."
},
{
"role": "user",
"content": "Output social media post as JSON."
},
{
"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 \"content\": \"Day by maintain important Mrs.\\nLose run bit away black consumer. Special card run west.\",\n \"username\": \"johnsonjessica\",\n \"user_id\": \"0a688e8a-468f-4212-b3d6-fd10da221c0c\",\n \"post_id\": \"POST-25684787\"\n}"
}
] |
{
"format": "json",
"complexity": "simple",
"schema": "social_media_post",
"estimated_tokens": 118
}
|
[
{
"role": "system",
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."
},
{
"role": "user",
"content": "Generate product listing data in XML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<rating>2.03</rating>\n<price>786.15</price>\n<product_id>PROD-251856</product_id>\n</product_listing>"
}
] |
{
"format": "xml",
"complexity": "simple",
"schema": "product_listing",
"estimated_tokens": 100
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ntype = \"assignment\"\ncourse_id = \"CRS-4571\"\ntotal_score = 94\n[[scores]]\nquestion = 1\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "simple",
"schema": "student_assessment",
"estimated_tokens": 186
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Create a TOML representation of student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-249427\"\nstudent_id = \"STU-573609\"\ncourse_id = \"CRS-5824\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 79\npercentage = 51.49\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 5\npoints_possible = 10\n\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "student_assessment",
"estimated_tokens": 307
}
|
[
{
"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 student assessment."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create student assessment 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:\nassessment_id: ASMT-118337\nstudent_id: STU-998354\ncourse_id: CRS-1074\ntype: quiz\ndate: '2026-01-03'\nscores:\n- question: 1\n points_earned: 8\n points_possible: 10\n- question: 2\n points_earned: 1\n points_possible: 10\n- question: 3\n points_earned: 10\n points_possible: 10\n- question: 4\n points_earned: 10\n points_possible: 10\n- question: 5\n points_earned: 4\n points_possible: 10\n- question: 6\n points_earned: 4\n points_possible: 10\n- question: 7\n points_earned: 10\n points_possible: 10\n- question: 8\n points_earned: 10\n points_possible: 10\n- question: 9\n points_earned: 1\n points_possible: 10\n- question: 10\n points_earned: 1\n points_possible: 10\n- question: 11\n points_earned: 5\n points_possible: 10\n- question: 12\n points_earned: 10\n points_possible: 10\ntotal_score: 69\npercentage: 82.29\ngrade: B\n"
}
] |
{
"format": "yaml",
"complexity": "complex",
"schema": "student_assessment",
"estimated_tokens": 266
}
|
[
{
"role": "system",
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."
},
{
"role": "user",
"content": "Generate experiment result data in YAML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nexperiment_id: EXP-198462\ntitle: Effect of could on manage\nmethodology:\n design: observational\n sample_size: 466\n duration_days: 33\nresults:\n- metric: efficacy\n baseline: 88.08\n endpoint: 27.75\n p_value: 0.4638\n- metric: safety\n baseline: 31.24\n endpoint: 55.73\n p_value: 0.3088\n- metric: efficacy\n baseline: 79.72\n endpoint: 79.94\n p_value: 0.3412\n- metric: safety\n baseline: 12.51\n endpoint: 12.14\n p_value: 0.0987\nconclusion: significant\n"
}
] |
{
"format": "yaml",
"complexity": "medium",
"schema": "experiment_result",
"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 sales analytics data in CSV format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\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\"\": \"\"online\"\", \"\"revenue\"\": 1612097, \"\"growth\"\": 24.25}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4641467, \",,,,May 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-6905\"\", \"\"sales\"\": 499855}, {\"\"sku\"\": \"\"SKU-9006\"\", \"\"sales\"\": 497552}, {\"\"sku\"\": \"\"SKU-6240\"\", \"\"sa\",9746835,95253\r\nReturn country most himself collection economic.,\"[{\"\"name\"\": \"\"James Johnson\"\", \"\"affiliation\"\": \"\"Wagner, Norris and Torres\"\", \"\"email\"\": \"\"uharding@example.co\",,297,\"[\"\"wife\"\", \"\"another\"\", \"\"soldier\"\", \"\"garden\"\"]\",arXiv:2024.42467,,10.4151/FISP,Nature,2020,Assimilated user-facing definition,,,\r\n\"Line nation want half. Speak themselves defense remember.\nDirector change race unit. Decision mornin\",\"[{\"\"name\"\": \"\"Krystal Walton\"\", \"\"affiliation\"\": \"\"Bowen Inc\"\", \"\"email\"\": \"\"steven41@example.com\"\"}, {\"\"name\"\": \"\"\",,50,\"[\"\"maintain\"\", \"\"various\"\", \"\"behavior\"\", \"\"he\"\", \"\"machine\"\"]\",arXiv:2023.17760,,10.2369/hxIG,Nature,2023,Enterprise-wide responsive process improvement,,,\r\n"
}
] |
{
"format": "csv",
"complexity": "medium",
"schema": "sales_analytics",
"estimated_tokens": 338
}
|
[
{
"role": "system",
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."
},
{
"role": "user",
"content": "Generate error log data in TOML format."
},
{
"role": "assistant",
"content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nerror_id = \"9fc92c6b-98f7-41f4-abdc-13ccd7357928\"\ntimestamp = \"2026-01-04T10:26:53.864483\"\nlevel = \"CRITICAL\"\nservice = \"hardService\"\nmessage = \"Join worry attack information continue.\"\nstack_trace = [ \"at usually.py:356\", \"at hospital.py:415\", \"at ten.py:78\",]\n\n[context]\nuser_id = \"8c07dbf0-0295-4e22-a2ec-f2e4648b0daf\"\nrequest_id = \"55567250-cead-49ce-834d-d15bbbf921c2\"\n"
}
] |
{
"format": "toml",
"complexity": "complex",
"schema": "error_log",
"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 research paper as TOML."
},
{
"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:2021.13573\"\ntitle = \"Advanced multi-tasking contingency\"\nabstract = \"Community industry tell score. Side science woman military. Short provide expect guess.\"\nkeywords = [ \"seven\", \"mention\", \"begin\", \"space\", \"with\",]\ncitations = 281\n[[authors]]\nname = \"Keith Taylor\"\naffiliation = \"Davis-Smith\"\nemail = \"jacob10@example.org\"\n\n[[authors]]\nname = \"Todd Douglas\"\naffiliation = \"Martin-Brown\"\nemail = \"watkinsbrett@example.org\"\n\n[[authors]]\nname = \"Donald Thompson\"\naffiliation = \"Turner, Davidson and Melton\"\nemail = \"ysmith@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2020\ndoi = \"10.2199/bNhh\"\n"
}
] |
{
"format": "toml",
"complexity": "medium",
"schema": "research_paper",
"estimated_tokens": 211
}
|
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