ortiz-ai/qwen3-4b-structured-output-lora3ep5e5005margev5
Text Generation
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[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Create a TOML representation of sales analytics.",
"role": "user"
},
{
"content": "period = \"January 2022\"\ntotal_revenue = 7456708\nunits_sold = 82349\n[[channels]]\nname = \"wholesale\"\nrevenue = 3622404\ngrowth = -8.05\n\n[[channels]]\nname = \"online\"\nrevenue = 1893923\ngrowth = 2.21\n\n[[top_products]]\nsku = \"SKU-2073\"\nsales = 98550\n\n[[top_products]]\nsku = \"SKU-3707\"\nsales = 233488\n\n[[top_products]]\nsku = \"SKU-7843\"\nsales = 172526\n\n",
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}
] |
{
"complexity": "medium",
"estimated_tokens": 160,
"format": "toml",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Output product listing as TOML.",
"role": "user"
},
{
"content": "product_id = \"PROD-597223\"\nname = \"Proactive tertiary database\"\ncategory = \"books\"\nprice = 435.77\ncurrency = \"USD\"\nstock = 111\nis_available = true\nrating = 1.73\nreviews = 539\n\n[specs]\nweight_kg = 19.61\ndimensions = \"87x91x85cm\"\n",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 131,
"format": "toml",
"schema": "product_listing",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Produce a JSON document for a transaction record.",
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},
{
"content": "{\n \"txn_id\": \"TXN-28879814\",\n \"customer_id\": \"b13e97b5-e84b-41ec-9dea-05b4809cdd35\",\n \"timestamp\": \"2026-01-07T13:51:25.895711\",\n \"items\": [\n {\n \"sku\": \"SKU-36351\",\n \"qty\": 1,\n \"price\": 310.41\n },\n {\n \"sku\": \"SKU-26629\",\n \"qty\": 2,\n \"price\": 119.44\n },\n {\n \"sku\": \"SKU-75447\",\n \"qty\": 3,\n \"price\": 127.79\n },\n {\n \"sku\": \"SKU-81003\",\n \"qty\": 3,\n \"price\": 336.59\n }\n ],\n \"subtotal\": 994.66,\n \"tax\": 143.59,\n \"total\": 1762.36,\n \"payment_method\": \"apple_pay\"\n}",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 216,
"format": "json",
"schema": "transaction_record",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-86898750</post_id>\n<platform>instagram</platform>\n<user_id>a47ec401-ca4e-44b5-afc7-6c2b372f589e</user_id>\n<username>dylan00</username>\n<content>Might north politics.\nMoment bad without change physical store call. Enjoy question state student political boy tonight.\nSoon ten last small develop left enter. Health lead bank and air capital save.</content>\n<timestamp>2026-01-07T13:51:25.591017</timestamp>\n<hashtags>#kid</hashtags>\n<hashtags>#off</hashtags>\n<hashtags>#school</hashtags>\n<hashtags>#fund</hashtags>\n<engagement>\n<likes>9146</likes>\n<shares>205</shares>\n<comments>18</comments>\n</engagement>\n</social_media_post>",
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},
{
"content": "{\n \"post_id\": \"POST-86898750\",\n \"platform\": \"instagram\",\n \"user_id\": \"a47ec401-ca4e-44b5-afc7-6c2b372f589e\",\n \"username\": \"dylan00\",\n \"content\": \"Might north politics.\\nMoment bad without change physical store call. Enjoy question state student political boy tonight.\\nSoon ten last small develop left enter. Health lead bank and air capital save.\",\n \"timestamp\": \"2026-01-07T13:51:25.591017\",\n \"hashtags\": [\n \"#kid\",\n \"#off\",\n \"#school\",\n \"#fund\"\n ],\n \"engagement\": {\n \"likes\": 9146,\n \"shares\": 205,\n \"comments\": 18\n }\n}",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 218,
"format": "json",
"schema": "social_media_post",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Convert the following JSON to YAML:\n{\n \"headline\": \"Sort west magazine indeed.\",\n \"body\": \"Cell peace technology church. Never himself art city training. Congress fight me pay visit.\",\n \"author\": \"Benjamin Olsen\"\n}",
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},
{
"content": "headline: Sort west magazine indeed.\nbody: Cell peace technology church. Never himself art city training. Congress fight\n me pay visit.\nauthor: Benjamin Olsen\n",
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}
] |
{
"complexity": "medium",
"estimated_tokens": 183,
"format": "yaml",
"schema": "news_article",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Produce a TOML document for a financial report.",
"role": "user"
},
{
"content": "company = \"Ortega-Owens\"\nticker = \"YLLB\"\nquarter = \"Q3 2022\"\nrevenue = 37598920\nexpenses = 44591506\nnet_income = 3197580\neps = 1.51\n\n[metrics]\nprofit_margin = 5.54\nroe = 6.32\n",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 118,
"format": "toml",
"schema": "financial_report",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-98000345</txn_id>\n<customer_id>681a59bc-1151-4d49-8e75-1af0878315cb</customer_id>\n<timestamp>2026-01-07T13:51:26.087659</timestamp>\n<items>\n<sku>SKU-50616</sku>\n<qty>3</qty>\n<price>180.94</price>\n</items>\n<items>\n<sku>SKU-82812</sku>\n<qty>5</qty>\n<price>490.31</price>\n</items>\n<subtotal>948.16</subtotal>\n<tax>93.65</tax>\n<total>1389.7</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>",
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},
{
"content": "{\n \"txn_id\": \"TXN-98000345\",\n \"customer_id\": \"681a59bc-1151-4d49-8e75-1af0878315cb\",\n \"timestamp\": \"2026-01-07T13:51:26.087659\",\n \"items\": [\n {\n \"sku\": \"SKU-50616\",\n \"qty\": 3,\n \"price\": 180.94\n },\n {\n \"sku\": \"SKU-82812\",\n \"qty\": 5,\n \"price\": 490.31\n }\n ],\n \"subtotal\": 948.16,\n \"tax\": 93.65,\n \"total\": 1389.7,\n \"payment_method\": \"credit_card\"\n}",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 179,
"format": "json",
"schema": "transaction_record",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Convert the following YAML to CSV:\nperiod: Q1\nsales: 3206\nregion: South Matthewview\nmeta_info:\n generated_at: '2026-01-22T04:03:06.074630'\n version: v3.0\n tags:\n - piece\n - line\n - be\n - health\n - street\naudit_log:\n- action: created\n by: william93\n timestamp: '2019-11-12T09:59:14.823296'\n- action: created\n by: michaelsmith\n timestamp: '1970-01-20T23:37:33.921965'\n",
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},
{
"content": "period,sales,region,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nQ1,3206,South Matthewview,2026-01-22T04:03:06.074630,v3.0,\"[\"\"piece\"\", \"\"line\"\", \"\"be\"\", \"\"health\"\", \"\"street\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"william93\"\", \"\"timestamp\"\": \"\"2019-11-12T09:59:14.823296\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"michaelsmith\"\", \"\"timestamp\"\": \"\"1970-01-20T23:37:33.921965\"\"}]\"\r\n",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 248,
"format": "csv",
"schema": "sales_analytics",
"type": "conversion"
}
|
[
{
"content": "You are proficient in CSV format. Generate properly formatted CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Output financial report as CSV.",
"role": "user"
},
{
"content": "company,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nHarris Inc,2.68,36366080,18.37,11.92,6859279,Q2 2023,96096321,KXNS\r\nMullen and Sons,4.1,964025,6.08,6.89,16533345,Q2 2021,83340431,MVVB\r\nSnyder Inc,3.79,33830279,11.9,5.98,1013080,Q3 2024,48566957,OFTZ\r\n",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 151,
"format": "csv",
"schema": "financial_report",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Reformat the CSV below into YAML:\nendpoint,method,responses.200,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\n/api/v1/users,GET,OK,2026-01-22T04:03:06.629165,v2.0,\"[\"\"player\"\", \"\"reveal\"\", \"\"whether\"\", \"\"new\"\", \"\"race\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"nicole97\"\", \"\"timestamp\"\": \"\"2005-06-26T02:12:44.262468\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"sosadustin\"\", \"\"timestamp\"\": \"\"1986-07-31T10:37:07.098488\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"bradleygordon\"\", \"\"timestamp\"\": \"\"1999-06-04T06:35:40.934882\"\"}]\"\r\n",
"role": "user"
},
{
"content": "endpoint: /api/v1/users\nmethod: GET\nresponses:\n '200': OK\nmeta_info:\n generated_at: '2026-01-22T04:03:06.629165'\n version: v2.0\n tags:\n - player\n - reveal\n - whether\n - new\n - race\naudit_log:\n- action: created\n by: nicole97\n timestamp: '2005-06-26T02:12:44.262468'\n- action: created\n by: sosadustin\n timestamp: '1986-07-31T10:37:07.098488'\n- action: created\n by: bradleygordon\n timestamp: '1999-06-04T06:35:40.934882'\n",
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}
] |
{
"complexity": "complex",
"estimated_tokens": 253,
"format": "yaml",
"schema": "api_specification",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Output social media post as XML.",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-61935008</post_id>\n<platform>instagram</platform>\n<user_id>ecd9585e-2adb-45f4-adda-e91c5f4f7ebe</user_id>\n<username>halezachary</username>\n<content>Treat second sing development scientist particularly their. Like question recently line top. Resource movie enter involve order stop region.</content>\n<timestamp>2026-01-07T13:51:25.597395</timestamp>\n<hashtags>#box</hashtags>\n<hashtags>#speak</hashtags>\n<hashtags>#reason</hashtags>\n<engagement>\n<likes>4027</likes>\n<shares>604</shares>\n<comments>194</comments>\n</engagement>\n</social_media_post>",
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}
] |
{
"complexity": "medium",
"estimated_tokens": 232,
"format": "xml",
"schema": "social_media_post",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Output experiment result as YAML.",
"role": "user"
},
{
"content": "title: Effect of main on stand\nresults:\n- metric: efficacy\n baseline: 50.39\n endpoint: 61.09\n p_value: 0.3936\n- metric: safety\n baseline: 99.02\n endpoint: 82.38\n p_value: 0.0752\n- metric: efficacy\n baseline: 94.16\n endpoint: 58.56\n p_value: 0.1239\n- metric: safety\n baseline: 41.74\n endpoint: 45.99\n p_value: 0.0661\nexperiment_id: EXP-681166\nmethodology:\n design: RCT\n sample_size: 875\n duration_days: 212\nconclusion: non-significant\n",
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}
] |
{
"complexity": "simple",
"estimated_tokens": 191,
"format": "yaml",
"schema": "experiment_result",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Convert the following JSON to XML:\n{\n \"review_id\": \"REV-7122533\",\n \"content\": \"Expert difficult hot radio mission. Throw southern he book way media particular.\",\n \"rating\": 1,\n \"date\": \"2026-01-06\",\n \"verified_purchase\": false\n}",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-7122533</review_id>\n<content>Expert difficult hot radio mission. Throw southern he book way media particular.</content>\n<rating>1</rating>\n<date>2026-01-06</date>\n<verified_purchase>False</verified_purchase>\n</customer_review>",
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}
] |
{
"complexity": "simple",
"estimated_tokens": 154,
"format": "xml",
"schema": "customer_review",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Produce a JSON document for a sales analytics.",
"role": "user"
},
{
"content": "{\n \"period\": \"July 2021\",\n \"total_revenue\": 5979422,\n \"units_sold\": 82076,\n \"channels\": [\n {\n \"name\": \"retail\",\n \"revenue\": 3460112,\n \"growth\": 36.85\n },\n {\n \"name\": \"online\",\n \"revenue\": 3983364,\n \"growth\": 5.55\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-1065\",\n \"sales\": 105510\n },\n {\n \"sku\": \"SKU-4043\",\n \"sales\": 281142\n },\n {\n \"sku\": \"SKU-1338\",\n \"sales\": 43006\n }\n ]\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 195,
"format": "json",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>2a52fc1b-775b-4f0d-9bad-8f4f44e2d81f</error_id>\n<timestamp>2026-01-07T13:51:25.611338</timestamp>\n<level>ERROR</level>\n<service>typeService</service>\n<message>Suggest involve part skill write left participant.</message>\n<stack_trace>at risk.py:441</stack_trace>\n<stack_trace>at strategy.py:390</stack_trace>\n<stack_trace>at performance.py:267</stack_trace>\n<stack_trace>at kind.py:265</stack_trace>\n<context>\n<user_id>3651fff2-dc6a-4fe5-a964-ed26913f3e4b</user_id>\n<request_id>f4fc48f0-6374-4e80-b666-89c2abac0904</request_id>\n</context>\n</error_log>",
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},
{
"content": "{\n \"error_id\": \"2a52fc1b-775b-4f0d-9bad-8f4f44e2d81f\",\n \"timestamp\": \"2026-01-07T13:51:25.611338\",\n \"level\": \"ERROR\",\n \"service\": \"typeService\",\n \"message\": \"Suggest involve part skill write left participant.\",\n \"stack_trace\": [\n \"at risk.py:441\",\n \"at strategy.py:390\",\n \"at performance.py:267\",\n \"at kind.py:265\"\n ],\n \"context\": {\n \"user_id\": \"3651fff2-dc6a-4fe5-a964-ed26913f3e4b\",\n \"request_id\": \"f4fc48f0-6374-4e80-b666-89c2abac0904\"\n }\n}",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 195,
"format": "json",
"schema": "error_log",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Produce a CSV document for a student assessment.",
"role": "user"
},
{
"content": "code,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,student_id,term,title,total_score\r\n,CRS-2987,,,,,,50.72,,STU-545122,,,91\r\nQRH186,CRS-5315,4,40,30,30,Amanda Smith,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"situation\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"woman\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"oil\"\"}, {\"\"we\",,Fall 2020,Optimized optimizing hierarchy 101,\r\nMPS468,CRS-3783,3,40,30,30,Brendan Petersen,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"item\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"become\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"artist\"\"}, {\"\"wee\",,Fall 2023,Right-sized mobile frame 101,\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 227,
"format": "csv",
"schema": "student_assessment",
"type": null
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Output structured data for sales_analytics using TOML.",
"role": "user"
},
{
"content": "period = \"Q1\"\nsales = 1915\nregion = \"North Lee\"\n[[audit_log]]\naction = \"created\"\nby = \"amber15\"\ntimestamp = \"1995-07-01T06:27:32.204878\"\n\n[[audit_log]]\naction = \"created\"\nby = \"mhinton\"\ntimestamp = \"2003-10-23T13:04:12.732890\"\n\n[[audit_log]]\naction = \"created\"\nby = \"dunncrystal\"\ntimestamp = \"2010-12-17T02:09:56.721209\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:06.741588\"\nversion = \"v1.0\"\ntags = [ \"moment\", \"various\", \"wrong\", \"wrong\", \"fill\",]\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 248,
"format": "toml",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Produce a TOML document for a prescription.",
"role": "user"
},
{
"content": "rx_id = \"RX-3305496\"\npatient_mrn = \"MRN-551064\"\nprescriber = \"Eric Jackson\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 119,
"format": "toml",
"schema": "prescription",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Create a TOML representation of transaction record.",
"role": "user"
},
{
"content": "total = 1900.4\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-89816\"\nqty = 1\nprice = 437.44\n\n[[items]]\nsku = \"SKU-65650\"\nqty = 1\nprice = 455.72\n\n[[items]]\nsku = \"SKU-98183\"\nqty = 3\nprice = 337.62\n\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 126,
"format": "toml",
"schema": "transaction_record",
"type": "generation"
}
|
[
{
"content": "You are proficient in CSV format. Generate properly formatted CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Output lab result as CSV.",
"role": "user"
},
{
"content": "order_date,panel,patient_mrn,result_id,results\r\n2026-01-06,CMP,MRN-755137,LAB-1812594,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 131.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n2026-01-02,CBC,MRN-692743,LAB-7038079,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 67.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 138\"\r\n2026-01-06,CMP,MRN-547924,LAB-8394339,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 87.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 209,
"format": "csv",
"schema": "lab_result",
"type": "generation"
}
|
[
{
"content": "You are skilled in CSV conversion. Analyze the input carefully, then output well-formed CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from TOML to CSV:\nrx = \"425345cd-6c7d-488c-9fac-6852b0fe978c\"\ndrug = \"opportunity\"\ndosage = \"10mg\"\n",
"role": "user"
},
{
"content": "rx,drug,dosage\r\n425345cd-6c7d-488c-9fac-6852b0fe978c,opportunity,10mg\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 163,
"format": "csv",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from YAML to CSV:\nuser: rruiz\nrating: 2\ncomment: Even leader compare hospital organization civil.\n",
"role": "user"
},
{
"content": "user,rating,comment\r\nrruiz,2,Even leader compare hospital organization civil.\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 167,
"format": "csv",
"schema": "customer_review",
"type": "conversion"
}
|
[
{
"content": "You are a CSV formatting specialist. Produce correct CSV output. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-210763</product_id>\n<name>Team-oriented grid-enabled support</name>\n<category>clothing</category>\n<price>360.14</price>\n<currency>USD</currency>\n<stock>657</stock>\n<is_available>True</is_available>\n<rating>3.34</rating>\n<reviews>923</reviews>\n<specs>\n<weight_kg>14.15</weight_kg>\n<dimensions>28x80x26cm</dimensions>\n</specs>\n</product_listing>",
"role": "user"
},
{
"content": "category,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Team-oriented grid-enabled support,360.14,PROD-210763,3.34,923,28x80x26cm,14.15,657\r\nbooks,USD,True,Compatible 3rdgeneration Graphic Interface,785.98,PROD-162596,3.26,63,89x67x94cm,39.1,565\r\nbooks,USD,True,Polarized global throughput,980.85,PROD-480978,3.49,10,73x71x39cm,46.4,341\r\nelectronics,USD,True,Ergonomic 3rdgeneration installation,258.59,PROD-613482,3.88,26,16x33x60cm,21.14,590\r\nelectronics,USD,True,Ameliorated modular benchmark,50.07,PROD-943559,2.84,10,28x85x80cm,18.98,993\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 232,
"format": "csv",
"schema": "product_listing",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from JSON to CSV:\n{\n \"period\": \"Q1\",\n \"sales\": 2256,\n \"region\": \"Judithborough\"\n}",
"role": "user"
},
{
"content": "period,sales,region\r\nQ1,2256,Judithborough\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 158,
"format": "csv",
"schema": "sales_analytics",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Create a CSV representation of experiment result.",
"role": "user"
},
{
"content": "conclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-734376,cohort,273,800,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 94.92, \"\"endpoint\"\": 99.12, \"\"p_value\"\": 0.3163}, {\"\"metric\"\": \"\"safety\",Effect of probably on skin\r\nsignificant,EXP-564834,observational,61,866,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 24.65, \"\"endpoint\"\": 11.78, \"\"p_value\"\": 0.1767}, {\"\"metric\"\": \"\"efficacy\",Effect of range on national\r\nnon-significant,EXP-910883,observational,160,848,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 17.04, \"\"endpoint\"\": 55.95, \"\"p_value\"\": 0.2857}, {\"\"metric\"\": \"\"effica\",Effect of action on medical\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 246,
"format": "csv",
"schema": "experiment_result",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5911912</review_id>\n<product_id>PROD-652506</product_id>\n<user_id>e81c58cf-1a13-4302-a93a-5e1fbbfd28db</user_id>\n<rating>3</rating>\n<title>Their husband whole president threat argue.</title>\n<content>Happen member step can deal animal fine. Like among study from book.\nDemocratic significant every sport next want. List religious computer rise wrong.</content>\n<date>2026-01-02</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>61</helpful_votes>\n</customer_review>",
"role": "user"
},
{
"content": "{\n \"review_id\": \"REV-5911912\",\n \"product_id\": \"PROD-652506\",\n \"user_id\": \"e81c58cf-1a13-4302-a93a-5e1fbbfd28db\",\n \"rating\": 3,\n \"title\": \"Their husband whole president threat argue.\",\n \"content\": \"Happen member step can deal animal fine. Like among study from book.\\nDemocratic significant every sport next want. List religious computer rise wrong.\",\n \"date\": \"2026-01-02\",\n \"verified_purchase\": true,\n \"helpful_votes\": 61\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 187,
"format": "json",
"schema": "customer_review",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Reformat the data below from JSON to XML:\n{\n \"experiment_id\": \"EXP-318732\",\n \"title\": \"Effect of produce on stock\",\n \"methodology\": {\n \"design\": \"observational\",\n \"sample_size\": 303,\n \"duration_days\": 155\n },\n \"results\": [\n {\n \"metric\": \"safety\",\n \"baseline\": 20.77,\n \"endpoint\": 67.03,\n \"p_value\": 0.1826\n },\n {\n \"metric\": \"safety\",\n \"baseline\": 69.69,\n \"endpoint\": 32.04,\n \"p_value\": 0.1176\n }\n ],\n \"conclusion\": \"non-significant\"\n}",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-318732</experiment_id>\n<title>Effect of produce on stock</title>\n<methodology>\n<design>observational</design>\n<sample_size>303</sample_size>\n<duration_days>155</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>20.77</baseline>\n<endpoint>67.03</endpoint>\n<p_value>0.1826</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>69.69</baseline>\n<endpoint>32.04</endpoint>\n<p_value>0.1176</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 224,
"format": "xml",
"schema": "experiment_result",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Reformat the JSON below into YAML:\n{\n \"student\": \"Miranda Mcdaniel\",\n \"score\": 32,\n \"grade\": \"C\"\n}",
"role": "user"
},
{
"content": "student: Miranda Mcdaniel\nscore: 32\ngrade: C\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 154,
"format": "yaml",
"schema": "student_assessment",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Generate clinical note data in JSON format.",
"role": "user"
},
{
"content": "{\n \"assessment\": [\n {\n \"problem\": \"diabetes\",\n \"icd10\": \"I24\"\n }\n ],\n \"encounter_date\": \"2026-01-06\",\n \"patient\": {\n \"mrn\": \"MRN-470382\",\n \"age\": 61,\n \"gender\": \"F\"\n },\n \"note_id\": \"CN-3244099\",\n \"vitals\": {\n \"bp\": \"158/77\",\n \"hr\": 112,\n \"temp_f\": 99.5\n }\n}",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 153,
"format": "json",
"schema": "clinical_note",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Reformat the data below from TOML to XML:\ncontract_id = \"CTR-291572\"\neffective_date = \"2026-01-03\"\nterm_months = 47\nvalue = 297446\nstatus = \"pending\"\n[[parties]]\nname = \"Smith and Sons\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Avila-Campbell\"\nrole = \"party_b\"\n\n",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-291572</contract_id>\n<parties>\n<name>Smith and Sons</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Avila-Campbell</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>47</term_months>\n<value>297446</value>\n<status>pending</status>\n</contract>",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 167,
"format": "xml",
"schema": "contract",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Produce a JSON document for a error log.",
"role": "user"
},
{
"content": "{\n \"error_id\": \"92d36993-19b1-4c19-9b64-8b4669c6636f\",\n \"timestamp\": \"2026-01-07T13:51:27.222487\",\n \"level\": \"WARNING\",\n \"service\": \"voiceService\",\n \"message\": \"Analysis beautiful attack blue eye.\",\n \"stack_trace\": [\n \"at well.py:163\",\n \"at will.py:421\",\n \"at run.py:384\",\n \"at TV.py:103\"\n ],\n \"context\": {\n \"user_id\": \"c92bcb8f-c109-47f8-aa13-b43737a1fc38\",\n \"request_id\": \"f4cb6737-30c9-41ef-814b-34c3ec971deb\"\n }\n}",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 187,
"format": "json",
"schema": "error_log",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Generate product listing data in JSON format.",
"role": "user"
},
{
"content": "{\n \"is_available\": true,\n \"rating\": 1.03,\n \"category\": \"electronics\",\n \"price\": 302.74\n}",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 102,
"format": "json",
"schema": "product_listing",
"type": "generation"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Convert the following JSON to CSV:\n{\n \"user\": \"patrickvilla\",\n \"rating\": 1,\n \"comment\": \"Determine case career white use institution.\"\n}",
"role": "user"
},
{
"content": "user,rating,comment\r\npatrickvilla,1,Determine case career white use institution.\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 167,
"format": "csv",
"schema": "customer_review",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Output lab result as XML.",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2983714</result_id>\n<patient_mrn>MRN-369371</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>97.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>60.0</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>172.2</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>145.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>83.4</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 247,
"format": "xml",
"schema": "lab_result",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Reformat the XML below into TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product>tell</product>\n<price>71.1</price>\n<stock>0</stock>\n</product_listing>",
"role": "user"
},
{
"content": "product = \"tell\"\nprice = 71.1\nstock = 0\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 150,
"format": "toml",
"schema": "product_listing",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Produce a YAML document for a prescription.",
"role": "user"
},
{
"content": "rx_id: RX-6885629\nprescriber: John Cook\nmedications:\n- name: Metformin\n dosage: 5mg\n frequency: daily\n quantity: 30\n- name: Atorvastatin\n dosage: 5mg\n frequency: BID\n quantity: 90\n- name: Lisinopril\n dosage: 5mg\n frequency: TID\n quantity: 60\ndate: '2026-01-02'\npatient_mrn: MRN-741538\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 151,
"format": "yaml",
"schema": "prescription",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Create a JSON representation of sales analytics.",
"role": "user"
},
{
"content": "{\n \"period\": \"November 2022\",\n \"total_revenue\": 9138741,\n \"units_sold\": 89798,\n \"channels\": [\n {\n \"name\": \"wholesale\",\n \"revenue\": 1234153,\n \"growth\": 40.64\n },\n {\n \"name\": \"online\",\n \"revenue\": 991509,\n \"growth\": -4.15\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-9585\",\n \"sales\": 30234\n },\n {\n \"sku\": \"SKU-8072\",\n \"sales\": 57362\n },\n {\n \"sku\": \"SKU-4011\",\n \"sales\": 249730\n }\n ]\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 197,
"format": "json",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Produce a TOML document for a clinical note.",
"role": "user"
},
{
"content": "note_id = \"CN-3823498\"\nencounter_date = \"2026-01-06\"\n\n[vitals]\nbp = \"131/104\"\nhr = 84\ntemp_f = 99.9\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 100,
"format": "toml",
"schema": "clinical_note",
"type": "generation"
}
|
[
{
"content": "You are an expert at CSV conversion. Inspect the structure, then output syntactically correct CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Convert the following YAML to CSV:\nrx: 45537afb-0567-41cc-a21a-37a6734b8cdc\ndrug: image\ndosage: 10mg\n",
"role": "user"
},
{
"content": "rx,drug,dosage\r\n45537afb-0567-41cc-a21a-37a6734b8cdc,image,10mg\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 162,
"format": "csv",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Produce a YAML document for a product listing.",
"role": "user"
},
{
"content": "product_id: PROD-421885\nname: Diverse 6thgeneration solution\ncategory: books\nprice: 48.12\ncurrency: USD\nstock: 460\nis_available: true\nrating: 3.7\nreviews: 717\nspecs:\n weight_kg: 20.82\n dimensions: 87x57x81cm\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 130,
"format": "yaml",
"schema": "product_listing",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Transform this JSON data into XML format:\n{\n \"rx_id\": \"RX-5855932\",\n \"patient_mrn\": \"MRN-921122\",\n \"prescriber\": \"Spencer Smith\",\n \"date\": \"2026-01-05\",\n \"medications\": [\n {\n \"name\": \"Metformin\",\n \"dosage\": \"20mg\",\n \"frequency\": \"daily\",\n \"quantity\": 30\n }\n ]\n}",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5855932</rx_id>\n<patient_mrn>MRN-921122</patient_mrn>\n<prescriber>Spencer Smith</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 159,
"format": "xml",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are skilled in CSV data formatting. Output well-formed CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Generate experiment result data in CSV format.",
"role": "user"
},
{
"content": "conclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-725280,observational,166,907,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 43.19, \"\"endpoint\"\": 64.81, \"\"p_value\"\": 0.4813}, {\"\"metric\"\": \"\"safety\"\",\",Effect of city on expert\r\nsignificant,EXP-303305,RCT,140,832,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 97.45, \"\"endpoint\"\": 96.0, \"\"p_value\"\": 0.1993}, {\"\"metric\"\": \"\"safety\"\"\",Effect of own on find\r\nnon-significant,EXP-177606,observational,235,737,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 58.91, \"\"endpoint\"\": 44.12, \"\"p_value\"\": 0.1897}, {\"\"metric\"\": \"\"effica\",Effect of whole on note\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 243,
"format": "csv",
"schema": "experiment_result",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Produce a TOML document for a news article.",
"role": "user"
},
{
"content": "article_id = \"ART-8136358\"\nheadline = \"Realigned multimedia paradigm\"\nauthor = \"Brian White\"\npublished = \"2026-01-02T14:21:25.908532\"\nsection = \"Sports\"\ncontent = \"Give model worry sense. Including reflect teacher near image.\\nCulture kitchen run first would. Agency media particularly past office every.\\nBag water address admit. Skin tend Mr significant dark pretty. Painting water campaign.\"\ntags = [ \"involve\", \"service\", \"along\", \"stand\",]\nviews = 7987\nshares = 4175\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 192,
"format": "toml",
"schema": "news_article",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Output news article as XML.",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-3682408</article_id>\n<headline>Decentralized stable neural-net</headline>\n<author>Thomas Acevedo</author>\n<published>2026-01-01T11:30:40.673887</published>\n<section>Business</section>\n<content>Cold trial recognize improve nice between these. Happy herself suggest impact tell easy.\nStart movie up social real effort. Onto federal prepare class direction rest.\nNews party school five bit. Trouble box year how.\nPressure respond nature. Prepare ball put happen.</content>\n<tags>movie</tags>\n<tags>it</tags>\n<tags>chance</tags>\n<views>12438</views>\n<shares>1329</shares>\n</news_article>",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 239,
"format": "xml",
"schema": "news_article",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Output sales analytics as XML.",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2024</period>\n<total_revenue>6726526</total_revenue>\n<units_sold>45392</units_sold>\n<channels>\n<name>retail</name>\n<revenue>2051641</revenue>\n<growth>15.93</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4340607</revenue>\n<growth>-6.59</growth>\n</channels>\n<top_products>\n<sku>SKU-7798</sku>\n<sales>367269</sales>\n</top_products>\n<top_products>\n<sku>SKU-2105</sku>\n<sales>291023</sales>\n</top_products>\n<top_products>\n<sku>SKU-5730</sku>\n<sales>275348</sales>\n</top_products>\n</sales_analytics>",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 223,
"format": "xml",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Transform this data from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx>425345cd-6c7d-488c-9fac-6852b0fe978c</rx>\n<drug>opportunity</drug>\n<dosage>10mg</dosage>\n</prescription>",
"role": "user"
},
{
"content": "rx = \"425345cd-6c7d-488c-9fac-6852b0fe978c\"\ndrug = \"opportunity\"\ndosage = \"10mg\"\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 159,
"format": "toml",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Generate sales analytics data in JSON format.",
"role": "user"
},
{
"content": "{\n \"period\": \"June 2024\",\n \"total_revenue\": 5319249,\n \"units_sold\": 96009,\n \"channels\": [\n {\n \"name\": \"wholesale\",\n \"revenue\": 941227,\n \"growth\": 26.4\n },\n {\n \"name\": \"retail\",\n \"revenue\": 937409,\n \"growth\": 30.07\n }\n ],\n \"top_products\": [\n {\n \"sku\": \"SKU-2900\",\n \"sales\": 81858\n },\n {\n \"sku\": \"SKU-8266\",\n \"sales\": 123988\n },\n {\n \"sku\": \"SKU-9969\",\n \"sales\": 32400\n }\n ]\n}",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 195,
"format": "json",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Transform this JSON data into TOML format:\n{\n \"error_id\": \"19a033e5-3ad7-4877-8a96-e38503174031\",\n \"timestamp\": \"2026-01-07T13:51:26.139508\",\n \"level\": \"ERROR\",\n \"service\": \"offService\",\n \"message\": \"Light method real rich option.\",\n \"stack_trace\": [\n \"at very.py:253\",\n \"at piece.py:469\",\n \"at home.py:259\"\n ],\n \"context\": {\n \"user_id\": \"45de80c2-9a4d-4d83-abf9-651f235bf4e8\",\n \"request_id\": \"53b4884a-375f-459c-a303-838dd3a8411e\"\n }\n}",
"role": "user"
},
{
"content": "error_id = \"19a033e5-3ad7-4877-8a96-e38503174031\"\ntimestamp = \"2026-01-07T13:51:26.139508\"\nlevel = \"ERROR\"\nservice = \"offService\"\nmessage = \"Light method real rich option.\"\nstack_trace = [ \"at very.py:253\", \"at piece.py:469\", \"at home.py:259\",]\n\n[context]\nuser_id = \"45de80c2-9a4d-4d83-abf9-651f235bf4e8\"\nrequest_id = \"53b4884a-375f-459c-a303-838dd3a8411e\"\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 164,
"format": "toml",
"schema": "error_log",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from TOML to CSV:\ncompany = \"Whitney-Meyer\"\nrevenue = 179110\nprofit = 64677\n",
"role": "user"
},
{
"content": "company,revenue,profit\r\nWhitney-Meyer,179110,64677\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 161,
"format": "csv",
"schema": "financial_report",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Transform this data from JSON to YAML:\n{\n \"contract\": \"synthesize world-class info-mediaries\",\n \"parties\": [\n \"Greene, Hayes and Jones\",\n \"Henson Group\"\n ],\n \"signed\": true\n}",
"role": "user"
},
{
"content": "contract: synthesize world-class info-mediaries\nparties:\n- Greene, Hayes and Jones\n- Henson Group\nsigned: true\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 172,
"format": "yaml",
"schema": "contract",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Analyze the data structure and generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Convert the following CSV to XML:\nuser,post,likes\r\ntommyshelton,\"Hear traditional mother recent pressure. Collection big light nothing memory these sport.\nParent dream political stop.\",124\r\n",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<user>tommyshelton</user>\n<post>Hear traditional mother recent pressure. Collection big light nothing memory these sport.\nParent dream political stop.</post>\n<likes>124</likes>\n</social_media_post>",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 207,
"format": "xml",
"schema": "social_media_post",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Generate clinical note data in YAML format.",
"role": "user"
},
{
"content": "note_id: CN-7937835\npatient:\n mrn: MRN-749785\n age: 66\n gender: M\nencounter_date: '2026-01-06'\nchief_complaint: chest pain\nvitals:\n bp: 179/85\n hr: 81\n temp_f: 101.7\nassessment:\n- problem: hypertension\n icd10: I52\n- problem: diabetes\n icd10: J76\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 140,
"format": "yaml",
"schema": "clinical_note",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Reformat the data below from YAML to XML:\npatient_mrn: MRN-135092\norder_date: '2026-01-02'\npanel: CBC\nresults:\n- test: Hemoglobin\n value: 129.6\n unit: g/dL\n flag: low\n- test: Hemoglobin\n value: 120.7\n unit: mg/dL\n flag: low\n- test: Hemoglobin\n value: 141.8\n unit: g/dL\n flag: low\n- test: Hemoglobin\n value: 131.3\n unit: g/dL\n flag: low\n- test: Glucose\n value: 147.1\n unit: mg/dL\n flag: high\nresult_id: LAB-9224780\n",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<patient_mrn>MRN-135092</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>129.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>120.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>131.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>147.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<result_id>LAB-9224780</result_id>\n</lab_result>",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 253,
"format": "xml",
"schema": "lab_result",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Reformat the CSV below into TOML:\nproduct,price,stock,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nnatural,17.08,24,2026-01-22T04:03:06.521445,v4.0,\"[\"\"sense\"\", \"\"effect\"\", \"\"stock\"\", \"\"suggest\"\", \"\"order\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"dpalmer\"\", \"\"timestamp\"\": \"\"1999-08-30T22:23:01.982747\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"darlenemorris\"\", \"\"timestamp\"\": \"\"2022-01-22T04:18:21.865191\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"kenneth21\"\", \"\"timestamp\"\": \"\"1981-11-26T16:34:59.117882\"\"}]\"\r\n",
"role": "user"
},
{
"content": "product = \"natural\"\nprice = 17.08\nstock = 24\n[[audit_log]]\naction = \"created\"\nby = \"dpalmer\"\ntimestamp = \"1999-08-30T22:23:01.982747\"\n\n[[audit_log]]\naction = \"created\"\nby = \"darlenemorris\"\ntimestamp = \"2022-01-22T04:18:21.865191\"\n\n[[audit_log]]\naction = \"created\"\nby = \"kenneth21\"\ntimestamp = \"1981-11-26T16:34:59.117882\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:06.521445\"\nversion = \"v4.0\"\ntags = [ \"sense\", \"effect\", \"stock\", \"suggest\", \"order\",]\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 255,
"format": "toml",
"schema": "product_listing",
"type": "conversion"
}
|
[
{
"content": "You are an expert at CSV conversion. Inspect the structure, then output syntactically correct CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Reformat the TOML below into CSV:\nstudent = \"Michael Soto\"\nscore = 19\ngrade = \"A\"\n[[audit_log]]\naction = \"created\"\nby = \"vgomez\"\ntimestamp = \"1999-02-28T09:54:26.186521\"\n\n[[audit_log]]\naction = \"created\"\nby = \"nbaldwin\"\ntimestamp = \"1983-08-21T17:41:20.519112\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:07.653416\"\nversion = \"v3.0\"\ntags = [ \"south\", \"agency\", \"better\", \"yard\", \"only\",]\n",
"role": "user"
},
{
"content": "student,score,grade,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nMichael Soto,19,A,2026-01-22T04:03:07.653416,v3.0,\"[\"\"south\"\", \"\"agency\"\", \"\"better\"\", \"\"yard\"\", \"\"only\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"vgomez\"\", \"\"timestamp\"\": \"\"1999-02-28T09:54:26.186521\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"nbaldwin\"\", \"\"timestamp\"\": \"\"1983-08-21T17:41:20.519112\"\"}]\"\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 245,
"format": "csv",
"schema": "student_assessment",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "I need experiment result details in CSV structure.",
"role": "user"
},
{
"content": "conclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-345048,RCT,365,193,,\r\nsignificant,EXP-520710,cohort,143,327,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 37.6, \"\"endpoint\"\": 78.35, \"\"p_value\"\": 0.446}, {\"\"metric\"\": \"\"safety\"\", \"\"\",Effect of rich on writer\r\nnon-significant,EXP-149835,observational,97,857,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 82.66, \"\"endpoint\"\": 95.01, \"\"p_value\"\": 0.4063}, {\"\"metric\"\": \"\"effica\",Effect of why on religious\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 209,
"format": "csv",
"schema": "experiment_result",
"type": null
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Transform this JSON data into XML format:\n{\n \"authors\": [\n {\n \"name\": \"Laura White\",\n \"affiliation\": \"Coleman, Johnson and Ross\",\n \"email\": \"jillcollins@example.com\"\n },\n {\n \"name\": \"Sarah Woods\",\n \"affiliation\": \"Durham, Thompson and White\",\n \"email\": \"sbeard@example.com\"\n }\n ],\n \"title\": \"Seamless cohesive projection\",\n \"funding_source\": null,\n \"abstract\": \"Middle several interesting move. Wrong represent guess threat. Once paper represent.\"\n}",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<authors>\n<name>Laura White</name>\n<affiliation>Coleman, Johnson and Ross</affiliation>\n<email>jillcollins@example.com</email>\n</authors>\n<authors>\n<name>Sarah Woods</name>\n<affiliation>Durham, Thompson and White</affiliation>\n<email>sbeard@example.com</email>\n</authors>\n<title>Seamless cohesive projection</title>\n<funding_source />\n<abstract>Middle several interesting move. Wrong represent guess threat. Once paper represent.</abstract>\n</research_paper>",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 208,
"format": "xml",
"schema": "research_paper",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Generate prescription data in XML format.",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<date>2026-01-04</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<patient_mrn>MRN-588828</patient_mrn>\n</prescription>",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 206,
"format": "xml",
"schema": "prescription",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Generate clinical note data in JSON format.",
"role": "user"
},
{
"content": "{\n \"note_id\": \"CN-1129442\",\n \"patient\": {\n \"mrn\": \"MRN-895859\",\n \"age\": 79,\n \"gender\": \"M\"\n },\n \"encounter_date\": \"2026-01-03\",\n \"chief_complaint\": \"headache\",\n \"vitals\": {\n \"bp\": \"127/81\",\n \"hr\": 117,\n \"temp_f\": 102.4\n },\n \"assessment\": [\n {\n \"problem\": \"hypertension\",\n \"icd10\": \"J46\"\n }\n ]\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 162,
"format": "json",
"schema": "clinical_note",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Generate contract data in JSON format.",
"role": "user"
},
{
"content": "{\n \"contract_id\": \"CTR-896633\",\n \"parties\": [\n {\n \"name\": \"Smith-Cross\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Carrillo and Sons\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-03\",\n \"term_months\": 21,\n \"value\": 926875,\n \"status\": \"pending\"\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 148,
"format": "json",
"schema": "contract",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Create a YAML representation of student assessment.",
"role": "user"
},
{
"content": "assessment_id: ASMT-554535\nstudent_id: STU-693793\ncourse_id: CRS-9992\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n points_earned: 9\n points_possible: 10\n- question: 2\n points_earned: 6\n points_possible: 10\n- question: 3\n points_earned: 7\n points_possible: 10\n- question: 4\n points_earned: 6\n points_possible: 10\n- question: 5\n points_earned: 6\n points_possible: 10\n- question: 6\n points_earned: 1\n points_possible: 10\n- question: 7\n points_earned: 4\n points_possible: 10\n- question: 8\n points_earned: 8\n points_possible: 10\n- question: 9\n points_earned: 2\n points_possible: 10\n- question: 10\n points_earned: 3\n points_possible: 10\ntotal_score: 86\npercentage: 63.99\ngrade: B\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 254,
"format": "yaml",
"schema": "student_assessment",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Produce a TOML document for a customer review.",
"role": "user"
},
{
"content": "verified_purchase = false\nrating = 2\ndate = \"2026-01-02\"\nuser_id = \"ccea0611-b57c-4ee0-9ab6-48c5cb4c2b4c\"\ntitle = \"Nature prepare style hit cell feeling start societ\"\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 117,
"format": "toml",
"schema": "customer_review",
"type": "generation"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Produce a CSV document for a transaction record.",
"role": "user"
},
{
"content": "customer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nb5aca191-66fe-49e0-85ce-2d363d5ef454,\"[{\"\"sku\"\": \"\"SKU-56664\"\", \"\"qty\"\": 2, \"\"price\"\": 285.83}, {\"\"sku\"\": \"\"SKU-25305\"\", \"\"qty\"\": 1, \"\"price\"\": 45.15}, {\"\"\",apple_pay,199.93,118.13,2026-01-07T13:51:26.163076,913.78,TXN-30876983\r\n544b1a27-6e43-4944-b179-f85638e23d22,\"[{\"\"sku\"\": \"\"SKU-60137\"\", \"\"qty\"\": 3, \"\"price\"\": 261.13}, {\"\"sku\"\": \"\"SKU-48333\"\", \"\"qty\"\": 3, \"\"price\"\": 380.57}, {\",paypal,931.28,109.14,2026-01-07T13:51:26.164115,845.98,TXN-83290772\r\na4ac7a51-32da-4054-92a2-b660f5f5cbb7,\"[{\"\"sku\"\": \"\"SKU-70345\"\", \"\"qty\"\": 2, \"\"price\"\": 292.91}]\",paypal,1244.24,96.76,2026-01-07T13:51:26.164183,2024.08,TXN-21793096\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 251,
"format": "csv",
"schema": "transaction_record",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Transform this data from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<timestamp>2026-01-22T04:03:06.603758</timestamp>\n<level>ERROR</level>\n<message>Investment ball education policy.</message>\n<meta_info>\n<generated_at>2026-01-22T04:03:06.603866</generated_at>\n<version>v5.0</version>\n<tags>actually</tags>\n<tags>miss</tags>\n<tags>Mr</tags>\n<tags>spring</tags>\n<tags>baby</tags>\n</meta_info>\n<audit_log>\n<action>created</action>\n<by>lpowers</by>\n<timestamp>1989-09-30T18:08:47.622902</timestamp>\n</audit_log>\n<audit_log>\n<action>created</action>\n<by>glendawalsh</by>\n<timestamp>1977-06-10T11:08:21.795476</timestamp>\n</audit_log>\n</error_log>",
"role": "user"
},
{
"content": "timestamp = \"2026-01-22T04:03:06.603758\"\nlevel = \"ERROR\"\nmessage = \"Investment ball education policy.\"\n[[audit_log]]\naction = \"created\"\nby = \"lpowers\"\ntimestamp = \"1989-09-30T18:08:47.622902\"\n\n[[audit_log]]\naction = \"created\"\nby = \"glendawalsh\"\ntimestamp = \"1977-06-10T11:08:21.795476\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:06.603866\"\nversion = \"v5.0\"\ntags = [ \"actually\", \"miss\", \"Mr\", \"spring\", \"baby\",]\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 246,
"format": "toml",
"schema": "error_log",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Produce a JSON document for a contract.",
"role": "user"
},
{
"content": "{\n \"contract_id\": \"CTR-299234\",\n \"parties\": [\n {\n \"name\": \"Murphy, Hawkins and Mckenzie\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Collins-Miller\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-06\",\n \"term_months\": 46,\n \"value\": 506357,\n \"status\": \"pending\"\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 151,
"format": "json",
"schema": "contract",
"type": "generation"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<user>janetmartinez</user>\n<post>Large group turn small. Expert heavy despite detail political building. Tv right cell report management dream.</post>\n<likes>358</likes>\n</social_media_post>",
"role": "user"
},
{
"content": "user,post,likes\r\njanetmartinez,Large group turn small. Expert heavy despite detail political building. Tv right cell report management dream.,358\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 182,
"format": "csv",
"schema": "social_media_post",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Reformat the XML below into YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx>cc11ba92-4294-42c2-b903-2a38469292dd</rx>\n<drug>television</drug>\n<dosage>10mg</dosage>\n<meta_info>\n<generated_at>2026-01-22T04:03:06.734304</generated_at>\n<version>v1.0</version>\n<tags>lead</tags>\n<tags>factor</tags>\n<tags>quickly</tags>\n<tags>task</tags>\n<tags>piece</tags>\n</meta_info>\n<audit_log>\n<action>created</action>\n<by>lgoodwin</by>\n<timestamp>1991-08-02T21:25:59.699347</timestamp>\n</audit_log>\n<audit_log>\n<action>created</action>\n<by>hubermarcia</by>\n<timestamp>1984-09-29T03:50:56.757272</timestamp>\n</audit_log>\n</prescription>",
"role": "user"
},
{
"content": "rx: cc11ba92-4294-42c2-b903-2a38469292dd\ndrug: television\ndosage: 10mg\nmeta_info:\n generated_at: '2026-01-22T04:03:06.734304'\n version: v1.0\n tags:\n - lead\n - factor\n - quickly\n - task\n - piece\naudit_log:\n- action: created\n by: lgoodwin\n timestamp: '1991-08-02T21:25:59.699347'\n- action: created\n by: hubermarcia\n timestamp: '1984-09-29T03:50:56.757272'\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 234,
"format": "yaml",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Convert the following CSV to TOML:\ncompany,revenue,profit,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\n\"Collier, Davis and Foster\",916171,71292,2026-01-22T04:03:07.325400,v4.0,\"[\"\"than\"\", \"\"stand\"\", \"\"describe\"\", \"\"bill\"\", \"\"listen\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"robinsonsusan\"\", \"\"timestamp\"\": \"\"2018-12-19T11:56:49.503023\"\"}]\"\r\n",
"role": "user"
},
{
"content": "company = \"Collier, Davis and Foster\"\nrevenue = 916171\nprofit = 71292\n[[audit_log]]\naction = \"created\"\nby = \"robinsonsusan\"\ntimestamp = \"2018-12-19T11:56:49.503023\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:07.325400\"\nversion = \"v4.0\"\ntags = [ \"than\", \"stand\", \"describe\", \"bill\", \"listen\",]\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 216,
"format": "toml",
"schema": "financial_report",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Create a TOML representation of social media post.",
"role": "user"
},
{
"content": "post_id = \"POST-66277640\"\nplatform = \"instagram\"\nuser_id = \"7e83a029-16e2-49ad-a855-906c882abe46\"\nusername = \"reynoldstaylor\"\ncontent = \"Thousand book animal myself wear beautiful. Room rock couple reality her.\\nJoin town travel agency value improve way. Heavy late science mind develop consider ability.\"\ntimestamp = \"2026-01-07T13:51:26.676406\"\nhashtags = [ \"#case\", \"#along\", \"#only\", \"#have\",]\n\n[engagement]\nlikes = 9942\nshares = 119\ncomments = 368\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 188,
"format": "toml",
"schema": "social_media_post",
"type": "generation"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Create a CSV representation of clinical note.",
"role": "user"
},
{
"content": "assessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K25\"\"}]\",headache,2026-01-02,CN-4466987,87,F,MRN-766590,147/66,72,101.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I70\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I54\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-05,CN-3827373,22,M,MRN-202785,137/100,74,99.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J96\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I73\"\"}]\",fever,2026-01-04,CN-2431018,88,F,MRN-324204,180/92,106,97.7\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 223,
"format": "csv",
"schema": "clinical_note",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Create a YAML representation of clinical note.",
"role": "user"
},
{
"content": "note_id: CN-4036732\npatient:\n mrn: MRN-366942\n age: 79\n gender: M\nencounter_date: '2026-01-06'\nchief_complaint: headache\nvitals:\n bp: 102/96\n hr: 61\n temp_f: 97.1\nassessment:\n- problem: hypertension\n icd10: K52\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 131,
"format": "yaml",
"schema": "clinical_note",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8328</course_id>\n<code>QKE428</code>\n<title>Decentralized content-based leverage 101</title>\n<instructor>Sarah Simon</instructor>\n<credits>3</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>whole</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>table</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>determine</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>evening</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>once</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>some</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>themselves</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>table</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>",
"role": "user"
},
{
"content": "{\n \"course_id\": \"CRS-8328\",\n \"code\": \"QKE428\",\n \"title\": \"Decentralized content-based leverage 101\",\n \"instructor\": \"Sarah Simon\",\n \"credits\": 3,\n \"term\": \"Fall 2022\",\n \"schedule\": [\n {\n \"week\": 1,\n \"topic\": \"whole\"\n },\n {\n \"week\": 2,\n \"topic\": \"table\"\n },\n {\n \"week\": 3,\n \"topic\": \"determine\"\n },\n {\n \"week\": 4,\n \"topic\": \"evening\"\n },\n {\n \"week\": 5,\n \"topic\": \"once\"\n },\n {\n \"week\": 6,\n \"topic\": \"some\"\n },\n {\n \"week\": 7,\n \"topic\": \"themselves\"\n },\n {\n \"week\": 8,\n \"topic\": \"table\"\n }\n ],\n \"grading\": {\n \"homework\": 30,\n \"midterm\": 30,\n \"final\": 40\n }\n}",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 254,
"format": "json",
"schema": "course_syllabus",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Output customer review as TOML.",
"role": "user"
},
{
"content": "review_id = \"REV-8549692\"\nproduct_id = \"PROD-108019\"\nuser_id = \"a4c4fbe3-7a0e-49f5-b14b-2ab1ca2d6ed5\"\nrating = 4\ntitle = \"Development know write believe teacher ability.\"\ncontent = \"Guy generation provide economy test bit. Page cost and.\\nArm test ok green. Likely card reality school stop something those.\\nYour spend discuss yeah hear. Same language box us magazine simple.\"\ndate = \"2026-01-06\"\nverified_purchase = true\nhelpful_votes = 22\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 185,
"format": "toml",
"schema": "customer_review",
"type": "generation"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Reformat the JSON below into CSV:\n{\n \"id\": \"96ae059c-406b-40c3-8fa5-aa9ecfd54725\",\n \"test\": \"service\",\n \"value\": 42.11838818121964,\n \"meta_info\": {\n \"generated_at\": \"2026-01-22T04:03:05.662055\",\n \"version\": \"v3.0\",\n \"tags\": [\n \"ball\",\n \"thousand\",\n \"everybody\",\n \"whom\",\n \"performance\"\n ]\n },\n \"audit_log\": [\n {\n \"action\": \"created\",\n \"by\": \"kenneth41\",\n \"timestamp\": \"1998-11-24T00:35:56.534669\"\n }\n ]\n}",
"role": "user"
},
{
"content": "id,test,value,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\n96ae059c-406b-40c3-8fa5-aa9ecfd54725,service,42.11838818121964,2026-01-22T04:03:05.662055,v3.0,\"[\"\"ball\"\", \"\"thousand\"\", \"\"everybody\"\", \"\"whom\"\", \"\"performance\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"kenneth41\"\", \"\"timestamp\"\": \"\"1998-11-24T00:35:56.534669\"\"}]\"\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 233,
"format": "csv",
"schema": "lab_result",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Reformat the data below from CSV to XML:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nEight television free focus window leave. Education Democrat past music mother able. Fund season rep,292,85,112,\"[\"\"#left\"\", \"\"#long\"\", \"\"#instead\"\", \"\"#budget\"\"]\",instagram,POST-15490463,2026-01-07T13:51:27.338072,dcf0c28f-6ad6-4153-873b-0cd39fa73a46,allenjames\r\n\"Thus able save machine now none. Relationship place add drop rich. House investment gas course.\nSpac\",368,7398,620,\"[\"\"#light\"\", \"\"#establish\"\", \"\"#whole\"\"]\",facebook,POST-18225843,2026-01-07T13:51:27.341153,552ff2f9-4f36-402a-9619-212b7a976c8a,patrickguerrero\r\nReceive growth thousand lawyer. Without what build they find while. Relationship cost garden remembe,16,7607,797,\"[\"\"#attack\"\", \"\"#certainly\"\", \"\"#begin\"\"]\",instagram,POST-87286174,2026-01-07T13:51:27.341562,77dba8fd-6f18-49d3-9611-65b65abe03b7,kylelopez\r\n\"Keep not case room door choice. They operation ever that certain year.\nGun believe once. Upon provid\",207,2673,328,\"[\"\"#player\"\", \"\"#ready\"\", \"\"#peace\"\"]\",twitter,POST-40881964,2026-01-07T13:51:27.341882,73b5fd6d-db20-4d37-a725-b427120c5c33,ytaylor\r\nBoard affect prepare suddenly spend. Hotel voice interest can. Inside matter tough ask politics nor ,211,7421,913,\"[\"\"#city\"\", \"\"#activity\"\", \"\"#whom\"\"]\",twitter,POST-72695378,2026-01-07T13:51:27.342163,d2e361b6-7113-4700-bf33-e925a99f46a2,ymiller\r\n",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-15490463</post_id>\n<platform>instagram</platform>\n<user_id>dcf0c28f-6ad6-4153-873b-0cd39fa73a46</user_id>\n<username>allenjames</username>\n<content>Eight television free focus window leave. Education Democrat past music mother able. Fund season represent when analysis movement.\nEverything over rich serious forget. Fire particular western.</content>\n<timestamp>2026-01-07T13:51:27.338072</timestamp>\n<hashtags>#left</hashtags>\n<hashtags>#long</hashtags>\n<hashtags>#instead</hashtags>\n<hashtags>#budget</hashtags>\n<engagement>\n<likes>85</likes>\n<shares>112</shares>\n<comments>292</comments>\n</engagement>\n</social_media_post>",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 253,
"format": "xml",
"schema": "social_media_post",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Produce a JSON document for a contract.",
"role": "user"
},
{
"content": "{\n \"contract_id\": \"CTR-143990\",\n \"parties\": [\n {\n \"name\": \"Brady Inc\",\n \"role\": \"party_a\"\n },\n {\n \"name\": \"Gonzalez, Coleman and Sanchez\",\n \"role\": \"party_b\"\n }\n ],\n \"effective_date\": \"2026-01-02\",\n \"term_months\": 32,\n \"value\": 452000,\n \"status\": \"active\"\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 150,
"format": "json",
"schema": "contract",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Generate error log data in JSON format.",
"role": "user"
},
{
"content": "{\n \"error_id\": \"7af25ba6-3e63-43d5-89e6-c5a6b377b923\",\n \"timestamp\": \"2026-01-07T13:51:26.975438\",\n \"level\": \"CRITICAL\",\n \"service\": \"downService\",\n \"message\": \"Prevent true movie stop.\",\n \"stack_trace\": [\n \"at hand.py:436\",\n \"at whose.py:275\",\n \"at information.py:57\",\n \"at central.py:306\"\n ],\n \"context\": {\n \"user_id\": \"dc348ded-7e54-44aa-bfc8-75caf977ffdf\",\n \"request_id\": \"cc597ab0-ad26-419a-8cbb-1facc38a2f79\"\n }\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 188,
"format": "json",
"schema": "error_log",
"type": "generation"
}
|
[
{
"content": "You are proficient in CSV format. Understand the data layout, then generate properly formatted CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from TOML to CSV:\nproduct = \"part\"\nprice = 81.35\nstock = 42\n",
"role": "user"
},
{
"content": "product,price,stock\r\npart,81.35,42\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 156,
"format": "csv",
"schema": "product_listing",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Reformat the CSV below into TOML:\nid,test,value\r\n4a13167f-d4f2-4211-b3b0-dd7bb0cacfe9,movement,44.69633337985021\r\n",
"role": "user"
},
{
"content": "id = \"4a13167f-d4f2-4211-b3b0-dd7bb0cacfe9\"\ntest = \"movement\"\nvalue = 44.69633337985021\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 161,
"format": "toml",
"schema": "lab_result",
"type": "conversion"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Reformat the data below from JSON to XML:\n{\n \"rx_id\": \"RX-8350891\",\n \"patient_mrn\": \"MRN-446802\",\n \"prescriber\": \"James Bryant\",\n \"date\": \"2026-01-03\",\n \"medications\": [\n {\n \"name\": \"Lisinopril\",\n \"dosage\": \"10mg\",\n \"frequency\": \"daily\",\n \"quantity\": 90\n },\n {\n \"name\": \"Metformin\",\n \"dosage\": \"20mg\",\n \"frequency\": \"TID\",\n \"quantity\": 30\n }\n ]\n}",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-8350891</rx_id>\n<patient_mrn>MRN-446802</patient_mrn>\n<prescriber>James Bryant</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 190,
"format": "xml",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from TOML to CSV:\nendpoint = \"/api/v1/users\"\nmethod = \"GET\"\n[[audit_log]]\naction = \"created\"\nby = \"cynthiamiranda\"\ntimestamp = \"2001-08-25T07:17:07.336188\"\n\n[responses]\n200 = \"OK\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:07.386413\"\nversion = \"v3.0\"\ntags = [ \"space\", \"possible\", \"recognize\", \"four\", \"change\",]\n",
"role": "user"
},
{
"content": "endpoint,method,responses.200,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\n/api/v1/users,GET,OK,2026-01-22T04:03:07.386413,v3.0,\"[\"\"space\"\", \"\"possible\"\", \"\"recognize\"\", \"\"four\"\", \"\"change\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"cynthiamiranda\"\", \"\"timestamp\"\": \"\"2001-08-25T07:17:07.336188\"\"}]\"\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 229,
"format": "csv",
"schema": "api_specification",
"type": "conversion"
}
|
[
{
"content": "You are proficient in CSV format. Generate properly formatted CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Create a CSV representation of financial report.",
"role": "user"
},
{
"content": "company,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nWoods and Sons,8.84,48284794,12.42,23.86,2937548,Q1 2020,42196406,ZCNM\r\nMccullough-Johnson,3.29,11563013,26.21,13.94,4117277,Q1 2020,6857674,DPES\r\nStewart LLC,2.14,11938447,29.71,11.96,10336255,Q3 2023,46802875,KLMH\r\nWhite and Sons,6.27,65693877,17.06,7.33,1849662,Q4 2023,54335533,JDVS\r\nBarnes-Carter,8.04,17747243,11.66,7.91,5504686,Q4 2020,81696490,YHYS\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 189,
"format": "csv",
"schema": "financial_report",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Produce a TOML document for a news article.",
"role": "user"
},
{
"content": "content = \"Range condition class leader wrong subject wait. Stop we prevent particular front method. Force item executive employee green large house nation. General doctor material rule head event.\\nOne will dog chance. Order away music seem director put upon. Find boy again direction four.\"\narticle_id = \"ART-9628131\"\nheadline = \"Re-contextualized logistical paradigm\"\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 167,
"format": "toml",
"schema": "news_article",
"type": "generation"
}
|
[
{
"content": "You are an expert in XML format. Generate syntactically perfect XML. Output only valid XML with no additional text, comments, or markdown fences. Include proper opening and closing tags for every element. Use consistent indentation for nested elements.",
"role": "system"
},
{
"content": "Reformat the data below from JSON to XML:\n{\n \"service\": \"findService\",\n \"stack_trace\": [\n \"at watch.py:197\",\n \"at body.py:298\",\n \"at girl.py:392\",\n \"at red.py:350\"\n ],\n \"level\": \"ERROR\",\n \"message\": \"Head then too threat drive.\"\n}",
"role": "user"
},
{
"content": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<service>findService</service>\n<stack_trace>at watch.py:197</stack_trace>\n<stack_trace>at body.py:298</stack_trace>\n<stack_trace>at girl.py:392</stack_trace>\n<stack_trace>at red.py:350</stack_trace>\n<level>ERROR</level>\n<message>Head then too threat drive.</message>\n</error_log>",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 161,
"format": "xml",
"schema": "error_log",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from JSON to CSV:\n{\n \"rx\": \"65b40a28-dd76-4b2c-9db4-5f1edb82705f\",\n \"drug\": \"sell\",\n \"dosage\": \"10mg\"\n}",
"role": "user"
},
{
"content": "rx,drug,dosage\r\n65b40a28-dd76-4b2c-9db4-5f1edb82705f,sell,10mg\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 162,
"format": "csv",
"schema": "prescription",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Moore-Thompson</company>\n<ticker>XFVE</ticker>\n<quarter>Q2 2022</quarter>\n<revenue>73324772</revenue>\n<expenses>43130054</expenses>\n<net_income>18329728</net_income>\n<eps>9.88</eps>\n<metrics>\n<profit_margin>22.03</profit_margin>\n<roe>10.54</roe>\n</metrics>\n</financial_report>",
"role": "user"
},
{
"content": "{\n \"company\": \"Moore-Thompson\",\n \"ticker\": \"XFVE\",\n \"quarter\": \"Q2 2022\",\n \"revenue\": 73324772,\n \"expenses\": 43130054,\n \"net_income\": 18329728,\n \"eps\": 9.88,\n \"metrics\": {\n \"profit_margin\": 22.03,\n \"roe\": 10.54\n }\n}",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 136,
"format": "json",
"schema": "financial_report",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Convert the following YAML to CSV:\nresult_id: LAB-8093004\npatient_mrn: MRN-777027\norder_date: '2026-01-05'\npanel: CMP\nresults:\n- test: Glucose\n value: 140.2\n unit: mg/dL\n flag: low\n- test: Hemoglobin\n value: 96.3\n unit: g/dL\n flag: normal\n- test: Glucose\n value: 185.0\n unit: g/dL\n flag: high\n- test: Glucose\n value: 139.7\n unit: g/dL\n flag: low\n",
"role": "user"
},
{
"content": "order_date,panel,patient_mrn,result_id,results\r\n2026-01-05,CMP,MRN-777027,LAB-8093004,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 140.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-04,CMP,MRN-636298,LAB-4135521,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 57.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-01,CMP,MRN-536906,LAB-7594088,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 114.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 126.6,\"\r\n2026-01-01,CBC,MRN-570632,LAB-8841115,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 182.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"valu\"\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 251,
"format": "csv",
"schema": "lab_result",
"type": "conversion"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Create a JSON representation of product listing.",
"role": "user"
},
{
"content": "{\n \"rating\": 4.54,\n \"stock\": 843,\n \"specs\": {\n \"weight_kg\": 34.7,\n \"dimensions\": \"61x86x65cm\"\n },\n \"currency\": \"USD\"\n}",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 111,
"format": "json",
"schema": "product_listing",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Create a TOML representation of financial report.",
"role": "user"
},
{
"content": "company = \"Richard Ltd\"\nticker = \"XHCL\"\nquarter = \"Q4 2020\"\nrevenue = 71255223\nexpenses = 54916122\nnet_income = 1190834\neps = 4.63\n\n[metrics]\nprofit_margin = 14.39\nroe = 19.33\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 119,
"format": "toml",
"schema": "financial_report",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Transform this data from JSON to YAML:\n{\n \"course\": \"Polarized fresh-thinking framework\",\n \"weeks\": 11,\n \"credits\": 3,\n \"meta_info\": {\n \"generated_at\": \"2026-01-22T04:03:05.143414\",\n \"version\": \"v2.0\",\n \"tags\": [\n \"job\",\n \"professional\",\n \"price\",\n \"once\",\n \"offer\"\n ]\n },\n \"audit_log\": [\n {\n \"action\": \"created\",\n \"by\": \"tracey70\",\n \"timestamp\": \"2008-06-05T04:53:27.174089\"\n },\n {\n \"action\": \"created\",\n \"by\": \"jeffery54\",\n \"timestamp\": \"1984-12-14T02:13:43.404848\"\n },\n {\n \"action\": \"created\",\n \"by\": \"eross\",\n \"timestamp\": \"2014-01-16T14:33:28.535750\"\n }\n ]\n}",
"role": "user"
},
{
"content": "course: Polarized fresh-thinking framework\nweeks: 11\ncredits: 3\nmeta_info:\n generated_at: '2026-01-22T04:03:05.143414'\n version: v2.0\n tags:\n - job\n - professional\n - price\n - once\n - offer\naudit_log:\n- action: created\n by: tracey70\n timestamp: '2008-06-05T04:53:27.174089'\n- action: created\n by: jeffery54\n timestamp: '1984-12-14T02:13:43.404848'\n- action: created\n by: eross\n timestamp: '2014-01-16T14:33:28.535750'\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 252,
"format": "yaml",
"schema": "course_syllabus",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Generate prescription data in CSV format.",
"role": "user"
},
{
"content": "date,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-355763,Henry Padilla,RX-1795504\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-757915,Eric Smith,RX-8656023\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-896890,Tara Palmer,RX-9397476\r\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 201,
"format": "csv",
"schema": "prescription",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Produce a JSON document for a lab result.",
"role": "user"
},
{
"content": "{\n \"result_id\": \"LAB-2441646\",\n \"patient_mrn\": \"MRN-228148\",\n \"order_date\": \"2026-01-01\",\n \"panel\": \"Lipid\",\n \"results\": [\n {\n \"test\": \"Glucose\",\n \"value\": 81.9,\n \"unit\": \"g/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"WBC\",\n \"value\": 107.7,\n \"unit\": \"mg/dL\",\n \"flag\": \"high\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 101.6,\n \"unit\": \"mg/dL\",\n \"flag\": \"normal\"\n },\n {\n \"test\": \"Hemoglobin\",\n \"value\": 197.9,\n \"unit\": \"g/dL\",\n \"flag\": \"low\"\n }\n ]\n}",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 214,
"format": "json",
"schema": "lab_result",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Transform this data from CSV to YAML:\nproduct,price,stock,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\ncommon,16.96,9,2026-01-22T04:03:06.623023,v1.0,\"[\"\"leave\"\", \"\"music\"\", \"\"side\"\", \"\"feeling\"\", \"\"car\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"miranda27\"\", \"\"timestamp\"\": \"\"2015-12-10T21:15:20.214770\"\"}]\"\r\n",
"role": "user"
},
{
"content": "product: common\nprice: 16.96\nstock: 9\nmeta_info:\n generated_at: '2026-01-22T04:03:06.623023'\n version: v1.0\n tags:\n - leave\n - music\n - side\n - feeling\n - car\naudit_log:\n- action: created\n by: miranda27\n timestamp: '2015-12-10T21:15:20.214770'\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 207,
"format": "yaml",
"schema": "product_listing",
"type": "conversion"
}
|
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Create a CSV representation of social media post.",
"role": "user"
},
{
"content": "user,post,likes\r\nlisa89,\"Few newspaper practice. Face environmental than amount line.\nWithout true use recognize account.\nHalf season now or it performance oil.\",535\r\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 182,
"format": "csv",
"schema": "social_media_post",
"type": "generation"
}
|
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Reformat the XML below into YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<user>tommyshelton</user>\n<post>Hear traditional mother recent pressure. Collection big light nothing memory these sport.\nParent dream political stop.</post>\n<likes>124</likes>\n</social_media_post>",
"role": "user"
},
{
"content": "user: tommyshelton\npost: 'Hear traditional mother recent pressure. Collection big light nothing memory\n these sport.\n\n Parent dream political stop.'\nlikes: 124\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 182,
"format": "yaml",
"schema": "social_media_post",
"type": "conversion"
}
|
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Transform this data from CSV to TOML:\ntxn,amount,status,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\n936c8400-4abe-4ded-bee7-403d9e2b9068,175.59,completed,2026-01-22T04:03:05.827726,v2.0,\"[\"\"surface\"\", \"\"very\"\", \"\"opportunity\"\", \"\"technology\"\", \"\"TV\"\"]\",\"[{\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"wfrederick\"\", \"\"timestamp\"\": \"\"1970-10-11T08:11:02.374029\"\"}, {\"\"action\"\": \"\"created\"\", \"\"by\"\": \"\"mcneilheather\"\", \"\"timestamp\"\": \"\"1983-06-15T05:57:11.708794\"\"}]\"\r\n",
"role": "user"
},
{
"content": "txn = \"936c8400-4abe-4ded-bee7-403d9e2b9068\"\namount = 175.59\nstatus = \"completed\"\n[[audit_log]]\naction = \"created\"\nby = \"wfrederick\"\ntimestamp = \"1970-10-11T08:11:02.374029\"\n\n[[audit_log]]\naction = \"created\"\nby = \"mcneilheather\"\ntimestamp = \"1983-06-15T05:57:11.708794\"\n\n[meta_info]\ngenerated_at = \"2026-01-22T04:03:05.827726\"\nversion = \"v2.0\"\ntags = [ \"surface\", \"very\", \"opportunity\", \"technology\", \"TV\",]\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 243,
"format": "toml",
"schema": "transaction_record",
"type": "conversion"
}
|
[
{
"content": "You are a CSV formatting specialist. Examine the data structure and produce correct CSV output. Output only valid CSV with no additional text, comments, or markdown fences. Include a header row. Use commas as delimiters. Quote fields that contain commas, newlines, or double quotes.",
"role": "system"
},
{
"content": "Transform this data from JSON to CSV:\n{\n \"txn\": \"c5a4470e-b315-42e1-897d-3c91952342b8\",\n \"amount\": 35.25,\n \"status\": \"completed\"\n}",
"role": "user"
},
{
"content": "txn,amount,status\r\nc5a4470e-b315-42e1-897d-3c91952342b8,35.25,completed\r\n",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 165,
"format": "csv",
"schema": "transaction_record",
"type": "conversion"
}
|
[
{
"content": "You are an expert in YAML format. Generate syntactically perfect YAML. Output only valid YAML with no additional text, comments, or markdown fences. Use consistent indentation (2 spaces). Use block style for nested structures, not flow style like {key: value}.",
"role": "system"
},
{
"content": "Create a YAML representation of lab result.",
"role": "user"
},
{
"content": "result_id: LAB-5490961\npatient_mrn: MRN-709917\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Glucose\n value: 146.9\n unit: mg/dL\n flag: high\n- test: Hemoglobin\n value: 119.4\n unit: g/dL\n flag: low\n- test: WBC\n value: 95.1\n unit: g/dL\n flag: low\n- test: Hemoglobin\n value: 73.3\n unit: g/dL\n flag: high\n- test: Glucose\n value: 166.8\n unit: g/dL\n flag: low\n- test: WBC\n value: 98.8\n unit: g/dL\n flag: high\n",
"role": "assistant"
}
] |
{
"complexity": "medium",
"estimated_tokens": 183,
"format": "yaml",
"schema": "lab_result",
"type": "generation"
}
|
[
{
"content": "You are an expert in TOML format. Generate syntactically perfect TOML. Always use standard TOML section headers like [section] and [[array_of_tables]]. Never use inline tables such as {key = value} or inline arrays. Place each key-value pair on its own line under the appropriate section header.",
"role": "system"
},
{
"content": "Create a TOML representation of sales analytics.",
"role": "user"
},
{
"content": "period = \"March 2022\"\ntotal_revenue = 7500818\nunits_sold = 73950\n[[channels]]\nname = \"retail\"\nrevenue = 528123\ngrowth = 12.05\n\n[[channels]]\nname = \"online\"\nrevenue = 1160273\ngrowth = 23.93\n\n[[top_products]]\nsku = \"SKU-6153\"\nsales = 328911\n\n[[top_products]]\nsku = \"SKU-4483\"\nsales = 21251\n\n[[top_products]]\nsku = \"SKU-5114\"\nsales = 21486\n\n",
"role": "assistant"
}
] |
{
"complexity": "complex",
"estimated_tokens": 159,
"format": "toml",
"schema": "sales_analytics",
"type": "generation"
}
|
[
{
"content": "You are an expert in JSON format. Generate syntactically perfect JSON. Output only valid JSON with no additional text, comments, or markdown fences. Use proper indentation with consistent nesting. Ensure all strings are double-quoted and arrays/objects are properly closed.",
"role": "system"
},
{
"content": "Create a JSON representation of customer review.",
"role": "user"
},
{
"content": "{\n \"date\": \"2026-01-05\",\n \"title\": \"Teach why painting per short.\",\n \"rating\": 4\n}",
"role": "assistant"
}
] |
{
"complexity": "simple",
"estimated_tokens": 100,
"format": "json",
"schema": "customer_review",
"type": "generation"
}
|
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